Journal of Fiber Bioengineering and Informatics
type: channel
description: Journal of Fiber Bioengineering and Informatics (JFBI) is a peer-reviewed international journal to promote multidisciplinary research and collaborations across different fields in fiber science, engineering and technology. This quarterly published journal is fully committed to help authors to generate high impact research outputs in terms of academic citations, industrial applications and contributions to the society. It aims to create an international forum for exchanging novel ideas of research.
publisher: Global Science Press
language: en
publication name: Journal of Fiber Bioengineering and Informatics
issn: 1940-8676
items: Contents
items: Technical Specifications for Anti-Special Bacteria Textiles
items: Textiles-Identification Method for Dope-Dyed and After-Dyed Aramid
items: Antivirus and Antibacterial Finishing Agents for Textiles and Their Functional Evaluation
items: Textiles-Test Method for Assessing the Smoothness Appearance of Fabrics After Laundering and Drying: Infrared Image Analysis Method
items: Robust Real-Time Garment Fitting from 3D Point Clouds with Physics-Guided Uncertainty and Reliability Monitoring
items: Morphological Classification of Female Abdominal-Hip and Crotch Regions for Menstrual Pants Design
items: A Machine Learning-Based Thermal Comfort Prediction Model for Older Adults
items: Temporal Dynamics of Academic Research and Public Attention Toward Generative AI in Fashion Design: A Bibliometric and Baidu Index Study
items: A Case Study on the Physical and Psychological Health Design Requirements of Postoperative Female Breast Cancer Patients
items: A YOLOv8-Based Clothing Detection Framework Incorporating Semantic Uncertainty Modeling
items: Energy Efficiency Enhancement in Cotton Pneumatic Transport Systems Using Parallel Pipelines
items: A Lightweight Diffusion Framework for Cultural Pattern Generation Using LoRA
items: Mapping Global Research on Sustainable Textile Materials: A Comparative Bibliometric Study of China and International Literature
items: Natural Mordants in Focus: A Comparative Study of Alum and Calcium Hydroxide in Cotton Dyeing with Senna Siamea Heartwood
items: Design Guidelines for Accessible Dining Apparel for the Visually Impaired: Toward Inclusive and Sustainable Fashion
items: Comparison of Support and Clothing Pressure Distribution in Japanese and Australian Maternity Support Garments
items: Optimising Natural Dyeing of Cotton with Butea Monosperma Through Anodic Pretreatment and Eco-Friendly Auxiliaries
items: Evaluating the Impact of Blended Learning on Self-Directed Learning and Critical Thinking in Taiwanese Fashion Design Education
items: Sun-Protective Clothing Design for Wheelchair Users: Integrating Function and Accessibility
items: An Intelligent Framework for Multi-Scenario Fabric Selection in Cycling Apparel: A User-Expert Dual-Driven Approach
items: Advances of Functional Inks for Printed E-Textiles
items: Biomimicry of Fibrous Materials: The Thermal Conductivity and morphology of Man-Made and Natural Fibrous Materials
items: Development & Characterization of Alginate/Graphene Oxide Fibers with Improved Electrical Conductivity
items: Evaluation and Comparison of Acoustic Performance and Thermal Conductivity of Spacer Fabrics
items: Fillers Compounding and Process Optimization of Polyamide Wet-coating
items: Extraction of Natural Dye from Phellodendron Amurense and Its Photofading
items: Garment Pleats Modeling and Force Analysis Based on Different Yarn Directions
items: Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures
items: Application of Visual Illusion Patterns on Modern Women's Knitwear Design

Contents
type: item
subject: Articles
  topic: section
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-16
publication date: 2026-04-16
doi: 10.3993/

Technical Specifications for Anti-Special Bacteria Textiles
type: item
description: This document specifies the requirements, test methods, evaluation rules, marking, packaging, transportation and storage for anti-special bacteria textiles. This document applies to all types of antibacterial functional textile products, in which antibacterial agents are incorporated during the manufacturing process. This document does not apply to textiles for infants aged 36 months and below; underpants for pregnant women; bras and undergarments for lactating women; or disposable, non-washable antibacterial textiles.
subject: Articles
  topic: section
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-16
publication date: 2026-04-16
starting page: 357
ending page: 366
doi: 10.3993/jfbim59110001

Textiles-Identification Method for Dope-Dyed and After-Dyed Aramid
type: item
description: This document describes the identification of dyeing methods for aramid fabrics using physical or chemical methods. This document applies to pure spun and blended fabrics made from dope-dyed or after-dyed aramid textiles, in which the aramid fibre content is not less than 90%. It does not apply to fabric that contains a blend of dope-dyed and after dyed aramid fibres.
subject: Articles
  topic: section
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-16
publication date: 2026-04-16
starting page: 349
ending page: 356
doi: 10.3993/jfbim59039001

Antivirus and Antibacterial Finishing Agents for Textiles and Their Functional Evaluation
type: item
description: This document specifies the terms, definitions, technical requirements, ecological safety, hygienic safety, test methods, inspection rules, marks, labels, packaging, storage and transportation of anti-virus and anti-bacterial liquid finishing agents for textiles. This document is applicable to liquid anti-virus and anti-bacterial finishing agents for textiles, and antiviral additives for spinning reference implementation.
subject: Articles
  topic: section
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2026-04-15
publication date: 2026-04-15
starting page: 81
ending page: 94
doi: 10.3993/jfbim38090001

Textiles-Test Method for Assessing the Smoothness Appearance of Fabrics After Laundering and Drying: Infrared Image Analysis Method
type: item
description: This document specifies the method principles, test equipment, test device, test results and test report of the retention capacity of the smoothness appearance of fabrics after laundering and drying procedures based on the infrared image analysis technology. This document shall be primarily applicable to the laundering and drying procedures specified in GB/T 8629-2017 or GB/T 19981 (all parts) but also applies to other laundering and drying procedures.
subject: Articles
  topic: section
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2026-04-15
publication date: 2026-04-15
starting page: 69
ending page: 80
doi: 10.3993/jfbim59030001

Robust Real-Time Garment Fitting from 3D Point Clouds with Physics-Guided Uncertainty and Reliability Monitoring
type: item
description: Real-time garment fitting from 3D point clouds is a fundamental capability for telepresence, virtual try-on, and augmented reality. Yet, it remains difficult due to high-dimensional non-rigid deformation, frequent self-occlusion, and the need to maintain physically plausible cloth behavior under noisy measurements. Existing studies have improved geometric registration, learning-based reconstruction, or cloth simulation in isolation, but still lack a unified real-time framework that combines dense vertex-level tracking, uncertainty-aware sequential estimation, and physics-guided regularization for robust garment fitting under noisy and incomplete 3D observations. To address this gap, we propose Dense-Decoupled Adaptive Kalman Filtering (DD-AKF), an integrative sequential estimation framework that tracks dense garment vertices in real time while explicitly propagating uncertainty. To make high-dimensional filtering tractable, DD-AKF employs a block-diagonal (decoupled) covariance approximation that reduces per-frame complexity to linear time in the number of vertices while retaining per-vertex uncertainty estimates. Physical plausibility is incorporated by introducing differentiable stretch, bending, and collision energies as soft constraints in a Gaussian-approximate (sequential MAP) update, enabling an adaptive trade-off between sensor fidelity and physics under degraded observations. We also compute an online reliability score based on innovation (residual) statistics to monitor tracking quality and trigger robustification in the presence of occlusion or sensor corruption. Experiments on FAUST, CLOTH3D, and real capture sequences show reduced temporal flicker and penetration compared with representative optimization-based, stochastic filtering, and learning-based baselines, while maintaining competitive geometric accuracy at interactive rates (30+FPS). These results support reliability-aware deployment in practical virtual try-on and AR garment-fitting pipelines us…
subject: Articles
  topic: section
subject: real-time garment fitting
  topic: keywords
subject: 3D point cloud processing
  topic: keywords
subject: cloth deformation modeling
  topic: keywords
subject: physics-guided Kalman filtering
  topic: keywords
subject: uncertainty-aware estimation
  topic: keywords
subject: reliability monitoring
  topic: keywords
creator: Qian Yang
creator: Ming Li
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 93
ending page: 112
doi: 10.3993/jfbim26007

Morphological Classification of Female Abdominal-Hip and Crotch Regions for Menstrual Pants Design
type: item
description: Existing menstrual pants often suffer from poor fit, which can cause side leakage. While research on female lower-body is crucial for structural design, studies on abdominal and crotch morphology remain insufficient. This study therefore aims to analyze and classify the morphology of women’s abdominal-hip and crotch regions. Anthropometric data were collected from 143 female subjects aged 18-50 years wearing size L menstrual pants. Factor analysis identified four key factors: circumference, crotch length, width, and crotch depth. Cluster analysis classified abdominal-hip morphologies into three types (flat abdomen-flat hip, thick abdomen-flat hip, slender abdomen-prominent hip) based on abdominal-hip difference and hip protrusion degree; and crotch morphologies into three types (H-shaped medium crotch, A-shaped short crotch, V-shaped long crotch) based on the crotch width-length index. The bottom crotch points were categorized into anterior type (51.75%) and posterior type (48.25%). These findings provide an anthropometric basis for the structural design of differentiated menstrual pants.
subject: Articles
  topic: section
subject: Menstrual Pants
  topic: keywords
subject: Crotch Width
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Body Shape Classification
  topic: keywords
subject: Structural Research
  topic: keywords
creator: Jin-Jie Xiao
creator: Han-Xin Liu
creator: Yu-Nuo Zhang
creator: Xian Zhang
creator: Jiao Yu
creator: Jing Guo
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 77
ending page: 91
doi: 10.3993/jfbim26010

A Machine Learning-Based Thermal Comfort Prediction Model for Older Adults
type: item
description: Indoor thermal comfort plays a critical role in safeguarding the health and quality of life of older adults (aged 60 and above), whose thermoregulatory capacity is diminished compared with younger populations due to reduced basal metabolic rate, impaired vasomotor responses, and elevated thermal sensation thresholds. While the Predicted Mean Vote (PMV) model has long served as a benchmark for thermal comfort assessment, its parameters are calibrated predominantly on young, healthy subjects and thus produce systematic prediction biases for older adults. Data-driven machine learning approaches have emerged as promising alternatives; however, existing studies that advocate deep learning architectures for thermal comfort prediction are predominantly based on small-sample datasets (N<500), leaving their generalizability under large-scale data conditions unverified. This study systematically compares a Convolutional-Recurrent Neural Network (CRNN, comprising one-dimensional convolution and Gated Recurrent Unit layers) with three established machine learning algorithms—K-Nearest Neighbors (KNN), Gradient Boosting Decision Trees (GBDT), and Random Forest (RF)—using a dedicated dataset of 5 820 older adult samples constructed from the ASHRAE Global Thermal Comfort Database II. Model performance was evaluated across both regression (continuous thermal sensation prediction) and classification (discrete seven-level thermal sensation determination) tasks. Results demonstrate that RF outperformed all models: in regression, RF achieved a mean absolute error (MAE) of 0.597 3 and root mean square error (RMSE) of 0.842 7, approximately 13.1% and 15.1% lower than CRNN (MAE = 0.687 6, RMSE = 0.992 2), respectively. In classification, RF attained 78.0% accuracy and a weighted F1 score of 0.539, compared with 68.7% and 0.513 for CRNN. The CRNN exhibited pronounced overfitting and majority-class bias, attributable to an architectural incompatibility between its sequential modeling design …
subject: Articles
  topic: section
subject: thermal comfort
  topic: keywords
subject: older adults
  topic: keywords
subject: machine learning
  topic: keywords
subject: convolutional-recurrent neural network
  topic: keywords
subject: random forest
  topic: keywords
subject: prediction model
  topic: keywords
creator: Jining Mo
creator: Xiaowen Zhang
creator: Yun Su
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 65
ending page: 76
doi: 10.3993/jfbim26002

Temporal Dynamics of Academic Research and Public Attention Toward Generative AI in Fashion Design: A Bibliometric and Baidu Index Study
type: item
description: Generative AI has moved quickly into fashion design since 2022, yet how this diffusion plays out across academic and public spheres has received little empirical attention. We analyzed 855 Web of Science publications (2014 to 2025) alongside Baidu Index search data from the Chinese market. The bibliometric record falls into three phases: algorithmic exploration, application development, and scenario empowerment. A qualitative comparison of the two time series shows that the lag between growth in public search interest and growth in academic output appears to have narrowed from roughly 18 to 24 months before 2020 to about 6 to 12 months after 2022, suggesting that the two domains are becoming more closely coupled. Formal causal testing is needed to confirm the direction of influence.
subject: Articles
  topic: section
subject: Fashion design
  topic: keywords
subject: AI-generated content
  topic: keywords
subject: Design innovation
  topic: keywords
subject: Technology diffusion
  topic: keywords
subject: Human-AI collaboration
  topic: keywords
creator: Nuo Chen
creator: Jian Li
creator: Bing-Fei Gu
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 51
ending page: 64
doi: 10.3993/jfbim26006

A Case Study on the Physical and Psychological Health Design Requirements of Postoperative Female Breast Cancer Patients
type: item
description: While existing rehabilitation products for breast cancer survivors primarily focus on compression therapy, they often neglect the integrated physical and psychological needs of patients, leaving a critical gap in holistic home-based care. Therefore, this study integrates Quality Function Deployment (QFD) and the Theory of Innovative Problem Solving (TRIZ) to systematically address this gap. Through a questionnaire survey and expert evaluation, patient requirements were gathered, prioritized, and translated into design specifications using QFD, while TRIZ was employed to resolve technical contradictions among them. Based on these findings, an exploratory rehabilitation apparel system is proposed that integrates an adaptive structure, functional materials, embedded hardware for physiological monitoring, and an interactive platform. Potential validation approaches are outlined to assess its safety, functionality, and practical implications in future research.
subject: Articles
  topic: section
subject: Breast cancer
  topic: keywords
subject: Apparel design
  topic: keywords
subject: Health
  topic: keywords
subject: Quality Function Deployment
  topic: keywords
subject: Theory of Innovative Problem Solving
  topic: keywords
creator: Yi-Xin Ru
creator: Ying Ke
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 31
ending page: 50
doi: 10.3993/jfbim26003

A YOLOv8-Based Clothing Detection Framework Incorporating Semantic Uncertainty Modeling
type: item
description: Garment style recognition is critical for intelligent retail but suffers from semantic uncertainties caused by high intra-class similarity and non-rigid deformations. Existing detection and attention-based methods often apply uniform attention across all feature levels. This approach limits fine-grained discrimination in complex scenarios. To address this gap, this study proposes a hierarchical attention-enhanced YOLOv8 framework to optimize recognition precision. By integrating a Convolutional Block Attention Module (CBAM) at the mid-level and an Efficient Channel Attention (ECA) module at the high-level, the model effectively strengthens structural perception and suppresses semantic channel dispersion. Experimental results show that the proposed method achieves 84.99% mAP@0.5, an 11.82% improvement over the baseline, while maintaining real-time performance at 126 FPS. This framework improves fine-grained garment recognition and provides a practical solution for intelligent retail applications in complex scenarios.
subject: Articles
  topic: section
subject: Garment style recognition
  topic: keywords
subject: YOLOv8
  topic: keywords
subject: Hierarchical attention mechanism
  topic: keywords
subject: Semantic uncertainty
  topic: keywords
subject: Intelligent fashion retail
  topic: keywords
creator: Xianfei Guo
creator: Chen Ting
creator: Hong Yan
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 13
ending page: 30
doi: 10.3993/jfbim26008

Energy Efficiency Enhancement in Cotton Pneumatic Transport Systems Using Parallel Pipelines
type: item
description: The efficiency of pneumatic conveying systems plays a decisive role in the energy performance of cotton-processing plants, where airflow is the dominant electrical power consumption. Despite widespread industrial use, conventional single-duct systems still suffer from high pressure losses and energy inefficiency due to excessive air velocity and wall friction. Previous studies primarily focused on granular or powdered materials, while the specific aerodynamic behaviour of low-density fibrous cotton remains insufficiently investigated. This knowledge gap limits the optimisation of energy-saving designs for cotton pneumatic transport. This research develops a mathematical and experimental model for a resource-efficient pneumatic conveying system employing parallel pipelines to enhance energy efficiency and transport stability. The model integrates Bernoulli’s principle, the Darcy–Weisbach equation, and empirical correlations for friction and particle-air interaction. Comparative simulations and experiments were performed for single- and dual-pipeline configurations operating at air velocities of 15-20 m/s. The results show that the parallel configuration reduces pressure drop by 23-26% and total power consumption by 20-25% compared to the conventional 355 mm single-duct system, while maintaining stable fibre transport and minimising clogging. The findings validate the theoretical framework and provide practical guidelines for retrofitting existing cotton pneumatic systems to achieve substantial energy savings. This study fills a key research gap by demonstrating the aerodynamic advantages of parallel airflow distribution for fibrous materials. It contributes to sustainable industrial modernisation by offering a scalable, energy-efficient pneumatic transport design suitable for cotton-processing facilities worldwide.
subject: Articles
  topic: section
subject: Cotton pneumatic transport
  topic: keywords
subject: energy efficiency
  topic: keywords
subject: parallel pipelines
  topic: keywords
subject: airflow distribution
  topic: keywords
subject: pressure loss
  topic: keywords
subject: Bernoulli equation
  topic: keywords
subject: resource-saving system
  topic: keywords
creator: Olimjon Sarimsakov
creator: D. Kholbaev
creator: Kh. Ismoilov
creator: Sh. Nematjanov
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-04-03
publication date: 2026-04-03
starting page: 1
ending page: 11
doi: 10.3993/jfbim05284

A Lightweight Diffusion Framework for Cultural Pattern Generation Using LoRA
type: item
description: Atlas patterns, a representative element of Uyghur intangible textile heritage from Xinjiang, are renowned for their vibrant colors and intricate symbolic structures. However, existing generative AI approaches often struggle to replicate their cultural semantics or require significant computational resources. This study addresses these limitations by proposing a low-resource, high-fidelity generation method based on Low-Rank Adaptation (LoRA) applied to the Stable Diffusion (SD) model. A categorized dataset of 103 Atlas pattern images was constructed and annotated using Peirce’s semiotic framework, including Iconographic, Directional, and Cultural Semiotic categories. LoRA modules were used to fine-tune the U-Net component of SD, substantially reducing training complexity and memory usage. Experimental results demonstrate that under optimal parameters (epoch = 100, batch size = 2, U-Net learning rate = $8 × 10^{−4}),$ the model achieves superior performance in MSE, PSNR, and SSIM compared to the base model. The generated patterns effectively reflect the geometric symmetry and cultural motifs of traditional Atlas textiles. This research highlights the practical potential of LoRA-adapted diffusion models in preserving and innovating cultural heritage, especially in the fields of digital fashion, pattern design, and virtual cultural applications.
subject: Articles
  topic: section
subject: Atlas Patterns
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Pattern Design
  topic: keywords
subject: Low-Rank Adaptation
  topic: keywords
subject: Cultural Heritage
  topic: keywords
creator: Jin-Song Wang
creator: Xiao-Yu Xin
creator: Shuai-Shuai Qi
creator: Ge-Li Qin
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 337
ending page: 348
doi: 10.3993/jfbim01883

Mapping Global Research on Sustainable Textile Materials: A Comparative Bibliometric Study of China and International Literature
type: item
description: At present, the world is facing a critical stage of sustainable development transformation. In particular, the introduction of the EU Sustainable Products Regulation (ESPR) marks a fundamental shift in the regulatory paradigm from end-of-pipe governance to ecological design. However, sustainable materials still face challenges in terms of cost, performance, strength, comfort, and large-scale production. At present, there is a lack of cross-country comparative bibliometric analysis on the emerging sustainability trends in textile materials research. Based on this, this study uses CiteSpace (v6.4.RI) to conduct a visual analysis of this field based on Chinese and English literature from 2010 to 2025 in CNKI and Web of Science databases using bibliometric methods. The key analysis indicators include annual publication volume, national and institutional cooperation networks, high-frequency keywords, keyword clustering, evolution path and emerging terms to compare the research status at home and abroad. This study aims to systematically map and compare the domestic and international research trends of sustainable textile materials to determine the evolving themes and future directions. The results show that the number of related papers has continued to grow in the past 14 years, and China is in a leading position in terms of the number of published papers. International cooperation is characterized by multi-center and decentralization. The current research mainly focuses on three directions: material innovation, performance optimization and environmental governance mechanism. It is expected that future research will focus more on bio-based textile technology (especially bionic materials) and intelligent response materials that can be applied on a large scale, such as thermochromic fibers and self-healing composites.
subject: Articles
  topic: section
subject: Sustainable textile materials
  topic: keywords
subject: CiteSpace
  topic: keywords
subject: Knowledge Graph
  topic: keywords
subject: Visual Analysis
  topic: keywords
subject: Research Hotspot
  topic: keywords
creator: Cui-Yun Zhu
creator: An-Ding Liu
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 319
ending page: 335
doi: 10.3993/jfbim00025

Natural Mordants in Focus: A Comparative Study of Alum and Calcium Hydroxide in Cotton Dyeing with Senna Siamea Heartwood
type: item
description: This study evaluates the dyeing performance of cotton fabric with a natural dye extracted from the heartwood of Senna siamea, focusing on the effects of anodic electrochemical pretreatment combined with varying concentrations of two mordants: potassium aluminium sulfate (alum) and calcium hydroxide. Sodium chloride (10 g/L) was maintained as the auxiliary in all dye baths, while mordant concentrations ranged from 0 to 20 g/L for both alum and calcium hydroxide. Colourimetric analysis (CIE $Lab$*) revealed that alum treatment generally lightened the fabric and decreased colour saturation, with $∆E$ values reaching 13.11 at 20 g/L, indicating a shift toward washed-out shades. In contrast, calcium hydroxide enhanced fabric brightness and significantly increased yellow chroma, producing warmer and more vibrant hues, particularly at 10 g/L, which was visually the lightest and showed the greatest colour difference ($∆E$ = 14.32). Washing fastness (ISO 105-C10) remained consistently good (ratings 3-4/5) across all mordant types and concentrations. Rubbing fastness (ISO 105-X12) improved with increasing mordant concentration, especially for alum at 15-20 g/L and calcium hydroxide at 10 g/L, with wet rubbing ratings improving from 2/3 to 3/4. These results highlight the distinct influences of alum and calcium hydroxide on colour development and durability, offering practical insights for optimising natural dyeing with Senna siamea extract. The study promotes accessible, eco-friendly dyeing techniques suitable for rural artisans, enhancing traditional textile quality and supporting sustainable production.
subject: Articles
  topic: section
subject: Senna siamea
  topic: keywords
subject: natural dye
  topic: keywords
subject: anodic electrochemical pretreatment
  topic: keywords
subject: alum mordant
  topic: keywords
subject: calcium hydroxide mordant
  topic: keywords
subject: cotton dyeing
  topic: keywords
subject: sustainable textiles
  topic: keywords
creator: Piyanut Jingjit
creator: Yanisa Komonsirichok
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 307
ending page: 317
doi: 10.3993/jfbim00314

Design Guidelines for Accessible Dining Apparel for the Visually Impaired: Toward Inclusive and Sustainable Fashion
type: item
description: This study is to address the lack of targeted research on accessible clothing for the visually impaired. In response to this gap, we conducted a mixed-methods study involving in-depth interviews, questionnaire surveys, real-world experiments with visually impaired participants to examine their specific clothing needs during meals, and Market investigation. Based on the analysis of over 70 sample cases, the main challenges were identified as color recognition, stain detection, garment cleaning, functional design, and personalization. Meanwhile, we identify core design requirements for accessible bibs, including stain-resistant materials, ergonomic structures, and aesthetic considerations tailored to users preferences. This paper contributes empirical insights and practical guidelines to support inclusive design in sustainable fashion, offering a theoretical foundation for future development of accessible clothing for the visually impaired.
subject: Articles
  topic: section
subject: Visually Impaired
  topic: keywords
subject: Accessible Design
  topic: keywords
subject: Sustainable Fashion
  topic: keywords
subject: Design Requirements
  topic: keywords
creator: Yu-He Qin
creator: Zi-Rui Ji
creator: Jun-Xian Li
creator: Jia-Yi Lin
creator: Kai-Yue Yu
creator: Jing Guo
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 291
ending page: 305
doi: 10.3993/jfbim02211

Comparison of Support and Clothing Pressure Distribution in Japanese and Australian Maternity Support Garments
type: item
description: During the middle and late stages of pregnancy, the foetus grows rapidly, and the movements of the expectant mother are restricted. Therefore, a method that can support a sagging abdomen to support movement and distribute the weight of the lower abdomen throughout the torso to reduce the burden on the lower back needs to be investigated. This study aimed to develop a maternity support garment (MSG) that would provide comfortable support for rapid abdominal changes during the later stages of pregnancy. Nine types of MSGs used in Japan and Australia were analysed in terms of their clothing pressure distribution with a pregnant mannequin. In addition, pressure sense was indexed by the sensory evaluation of Japanese nongravid women in their 20s and 30s, and clothing pressure values obtained via simulation were analysed. The clothing pressure distribution of Japanese MSG is either almost perfect or looser, and when used alone, the MSGs keep the abdomen warm, except when the attached belt is used. Conversely, the Australian MSG is used with three types of tightness recommended by maternity hospitals; however, when double-layered with soft and hard types, the soft type concentrates pressure on the abdomen, and even the single-layer hard type MSG was observed to have higher pressure than the tight-fit sensation. Although the Australian MSGs provide support rather than insulation, the pressure that they exert on the gravid abdomen can restrict the blood flow to the foetus. Therefore, a narrow belt was combined with a single MSG and measured. The overlapping angle of the narrow belt generated excessive clothing pressure on the back from the heavy abdomen, making $15^◦$ the most suitable. The Australian soft-type single-layer MSG provided a perfect fit of clothing pressure but proved inadequate for supporting the heavy abdomen. Therefore, combining a narrow belt yielded good results. It was found that the medium type of MSG was preferred either as a single or double layer acco…
subject: Articles
  topic: section
subject: Pregnant mannequin
  topic: keywords
subject: Maternity support garments
  topic: keywords
subject: Clothing pressure
  topic: keywords
subject: Pressure feeling
  topic: keywords
creator: Tamaki Takada-Mitsuno
creator: Carolina Quintero Rodriguez
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 275
ending page: 290
doi: 10.3993/jfbim00057

Optimising Natural Dyeing of Cotton with Butea Monosperma Through Anodic Pretreatment and Eco-Friendly Auxiliaries
type: item
description: This study investigates the combined effect of anodic pretreatment and varying auxiliary formulations on the dyeing performance of cotton fabric using a natural dye extracted from Butea monosperma flowers. While past studies have examined the role of mordants and pH modifiers in natural dyeing, limited attention has been given to how auxiliary systems interact with electrochemically modified fabrics to influence colour yield and fastness performance. This research addresses that gap by evaluating how anodically pretreated cotton responds to common dyeing auxiliaries—sodium chloride (NaCl), potassium aluminium sulfate (alum), sodium carbonate $({\rm Na_2 CO_3}),$ and calcium oxide (CaO)—in terms of shade development, chromatic richness, and durability. Using the CIE Lab colour system, significant colour variations were observed across all treated specimens (2–7) compared to the salt-only control (specimen 1). $∆{\rm E}$ values ranged from 12.49 to 19.95, with the highest chromatic shift seen in the ${\rm NaCl}$ + alum sample, which produced a vivid orange hue with enhanced redness and yellowness. Combinations of alum and alkalis yielded deeper, more saturated shades, while alkali-only formulations produced earthier tones with moderate lightness. These outcomes highlight the synergistic effect of anodic surface activation and auxiliary chemistry on improving dye-fibre interactions. Fastness tests, conducted according to ISO 105-C10 and ISO 105-X12 standards, revealed moderate washing durability (colour change ratings of 3 to 4) and good rubbing fastness (ratings up to 4). Specimens treated with mordants and alkalis generally exhibited improved fixation and reduced staining, whereas anodic treatment enhanced surface adhesion of the dye. This study demonstrates a promising, low-impact approach to improving natural dye uptake and fastness on cotton fabric by integrating anodic pretreatment with accessible auxiliary systems. The findings support the development of sustain…
subject: Articles
  topic: section
subject: Butea monosperma
  topic: keywords
subject: natural dyeing
  topic: keywords
subject: anodic pretreatment
  topic: keywords
subject: cotton fabric
  topic: keywords
subject: dye auxiliaries
  topic: keywords
subject: colour fastness
  topic: keywords
subject: sustainable textiles
  topic: keywords
subject: rural textile innovation
  topic: keywords
creator: Yanisa Komonsilichok
creator: Piyanut Jingjit
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 263
ending page: 274
doi: 10.3993/jfbim00299

Evaluating the Impact of Blended Learning on Self-Directed Learning and Critical Thinking in Taiwanese Fashion Design Education
type: item
description: Blended learning has become increasingly important in Taiwanese higher education, particularly in creative disciplines such as fashion design. With the rapid advancement of digital tools and the growing emphasis on technology in education, blended learning provides fashion design students with greater flexibility to engage with both theory and practice. Despite its growing adoption, research into its impact on fashion design education remains limited. This study seeks to address this gap by examining how blended learning influences academic achievement, self-directed learning (SDL), and critical thinking within Taiwanese fashion design education. Specifically, it investigates how blended learning enhances creative studio practice and fashion-specific learning outcomes. The findings demonstrate significant improvements in SDL and critical thinking, which are key to developing creativity and problem-solving skills in fashion design students. The study underscores the potential of blended learning to bridge the gap between theory and practice in fashion education, offering valuable insights for its optimisation in similar contexts.
subject: Articles
  topic: section
subject: Blended Learning
  topic: keywords
subject: Design Education
  topic: keywords
subject: Self-directed Learning (SDL)
  topic: keywords
subject: Critical Thinking
  topic: keywords
subject: Academic Achievement
  topic: keywords
creator: Chia-Yi Wu
creator: Guoxiang Yuan
creator: Qingxin Peng
creator: Vasilije Petrović
creator: Anita Milosavljević
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 247
ending page: 262
doi: 10.3993/jfbim01891

Sun-Protective Clothing Design for Wheelchair Users: Integrating Function and Accessibility
type: item
description: Research on sun-protective clothing for wheelchair users is of great significance in advancing the development of accessible clothing. Currently, sun-protective clothing available on the market is mainly designed for the general public. Traditional sun-protective clothing has shortcomings in multiple aspects such as garment length and bottom hem circumference, failing to meet the daily wearing needs of wheelchair users. Based on this, this study aims to design sun-protective clothing that caters to the needs of wheelchair users. The study employed questionnaire surveys and interviews, identifying seven key design points, and proposed a systematic design method based on three functional areas: sun protection, breathability, and safety protection. In the sun protection functional area, the sun protection area is determined by integrating the characteristics of the fabric and the wearing scenario. In the breathable functional area, the breathable area is determined and suitable materials are screened. In the safety protection functional area, reflective materials are integrated into the clothing structure line. Based on this, this study designs barrier-free settings for sun protection clothing. Three testers were invited to conduct wear testing and evaluation. The results showed that the comfort and functionality of the sun-protective clothing have been significantly improved, providing new design ideas for accessible clothing and creating possibilities for wheelchair users to have more suitable sun-protective clothing in the summer.
subject: Articles
  topic: section
subject: Sitting sun-protective clothing
  topic: keywords
subject: Wheelchair users
  topic: keywords
subject: Accessibility design
  topic: keywords
subject: Parking Demand Study
  topic: keywords
creator: Han-Xin Liu
creator: Hui Zhu
creator: Jing Guo
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 233
ending page: 246
doi: 10.3993/jfbim06401

An Intelligent Framework for Multi-Scenario Fabric Selection in Cycling Apparel: A User-Expert Dual-Driven Approach
type: item
description: Traditional evaluation of cycling trouser fabrics employs fixed-weight methods, failing to address the diverse performance demands of dynamic cycling scenarios. To overcome this limitation, this study developed and validated an intelligent scoring system using a “user-expert” dual-driven dynamic weight optimisation strategy. A dynamic weighting scheme was first constructed by integrating the Analytic Hierarchy Process (AHP) with user survey data. To mitigate data scarcity, a Generative Adversarial Network (GAN) was utilised to augment the dataset. Subsequently, a random forest regression model, integrated with a fuzzy logic engine, was employed to dynamically adjust performance weights (abrasion resistance, moisture permeability, air permeability) based on scenario inputs. The model achieved a coefficient of determination ($R^2$) of 0.924 on the training set and an average $R^2$ of 0.893 on the test set. Further validation demonstrated a prediction error of $\le 5.2\%$ for new fabrics and maintained $R^2$ values above 0.85 under hyperparameter sensitivity analysis, indicating strong generalisation and robustness. This research provides a validated, data-driven framework for fabric selection in customised clothing and introduces a novel paradigm for the performance-based design of advanced technical textiles.
subject: Articles
  topic: section
subject: Cycling trousers
  topic: keywords
subject: Fabric Evaluation
  topic: keywords
subject: Digital Evaluation
  topic: keywords
subject: Data-driven
  topic: keywords
subject: Intelligent Scoring System
  topic: keywords
creator: Pan Huang
creator: Jian-Xia Du
creator: Meng-Ya Yuan
creator: Meng-Ke Zhu
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 217
ending page: 231
doi: 10.3993/jfbim01731

Advances of Functional Inks for Printed E-Textiles
type: item
description: Electronic textiles (E-textiles) have emerged as promising platforms for applications in healthcare, sports training, and human-machine interaction, owing to their flexibility, permeability and integration capability. Printing technologies such as inkjet, screen, stencil, gravure, and flexographic printing offer scalable and cost-effective routes for fabricating conductive pathways and embedding functional components onto textiles. Despite rapid progress, the development of high-performance printed E-textiles is hindered by challenges in ink formulation, printability, mechanical compatibility, and especially ink-textile adhesion. Current research lacks a systematic understanding of how ink properties influence long-term durability and device functionality under real-world use. This review aims to address these issues by discussing recent advances in functional inks for printed E-textiles, with a focus on ink composition, printing techniques, and adhesion strategies. Key insights into the relationship between material properties and textile performance are highlighted. Finally, future directions are proposed to guide the development of durable, stretchable, and reliable printed E-textiles.
subject: Articles
  topic: section
subject: E-textiles
  topic: keywords
subject: Functional inks
  topic: keywords
subject: Printing technologies
  topic: keywords
creator: Jinxing Jiang
creator: Youchao Qi
creator: Qiyao Huang
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 193
ending page: 216
doi: 10.3993/jfbim00808

Biomimicry of Fibrous Materials: The Thermal Conductivity and morphology of Man-Made and Natural Fibrous Materials
type: item
description: With the aim to gain an appreciation of how nature insulates animal bodies with furs, in this exploratory\r study we investigated the TC and morphology of natural and synthetic fibrous materials. Specifically, we\r present our experimental observations on coyote, wolverine, and synthetic furs, as well as Polyacrylonitrile\r (PAN) nanofibers and knitted fabric. The TC was measured at a temperature range of -10 ◦C to 65 ◦C.\r The natural furs consist of fibers with different diameters and cuticular scale patterns. They form coreshell\r fibers with complex cellular structures in the core. The natural furs have lower TC compared to\r that of the synthetic fibrous structures. The coyote furs have the lowest TC value of ~ 0.046 W/mK\r at -10 ◦C. While the TC of all of the samples decreased with temperature, the TC of the natural furs\r decreased at a higher rate and showed a different behavior with temperature, compared to the synthetic\r fibrous materials.
subject: Articles
  topic: section
subject: Thermal Conductivity;Natural Fur;HotDisc Method;Heat Transfer;Fibrous Materials
  topic: keywords
subject:
  topic: subjects
creator: Hossein Soltanian
creator: Addie Bahi
creator: Gary Cungu
creator: Frank Ko
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 113
ending page: 128
doi: 10.3993/jfbim00308

Development & Characterization of Alginate/Graphene Oxide Fibers with Improved Electrical Conductivity
type: item
description: Graphene has demonstrated extraordinary electrical, optical, thermal and mechanical properties. In last\r decade, a lot of research has been done to improve fabrication and solution processing of graphene to\r graphene oxide and reduced graphene oxide. Graphene oxide contains more number of oxygen containing\r functional groups which increase interlayer distance and make its dispersion easy in aqueous solutions.\r These advances in graphene have further improved its properties including tensile strength, elastic\r modulus, low resistance, carrier mobility and stability against higher temperatures and chemicals.\r Alginate is obtained from brown seaweeds and has potential applications in treatment of wounds and cell\r differentiation due to its non-toxicity, biodegradability and biocompatibility. It is a hydrophilic natural\r polysaccharide and provides moist and ideal environment for wound healing and cell growth. However,\r Alginate fibers still also display some unsatisfactory properties, such as low mechanical strength and\r electrical conductivity. Combining the intriguing properties of graphene and alginate, we develop smart\r composite fibers with suitable conductivity and mechanical strength which can be processed to nonwoven\r wound dressings and can be used as biosensors for medical applications. Sodium alginate/Graphene oxide\r fibers were fabricated by using wet spinning setup. The developed sodium alginate/graphene oxide fibers\r were further thermally and chemically reduced to improve conductivity. Their structure and properties\r were characterized by conductivity measurements, fiber strength testing, absorption behaviors, FTIR\r (Fourier transform infrared spectroscopy) and SEM (scanning electron microscope). The addition of\r graphene oxide improves the strength of sodium alginate/graphene oxide fibers due to high compatibility\r and even distribution of graphene oxide fillers in alginate matrix. Thermal and chemical reduction\r methods increase the …
subject: Articles
  topic: section
subject: Alginate;Graphene;Conductivity;Fibers;Wet Spinning
  topic: keywords
subject:
  topic: subjects
creator: Muhammad Umar
creator: Yi Li
creator: Yuan Feng
creator: Xuqing Liu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 99
ending page: 111
doi: 10.3993/jfbim00290

Evaluation and Comparison of Acoustic Performance and Thermal Conductivity of Spacer Fabrics
type: item
description: The utilization of 3-Dimensional (3D) porous textile materials by the civil and mechanical engineers for\r improved thermo-acoustic environment has widened the research scope. Unconventional three-dimensional\r textile material which grabs the attention of the researchers for multi-functional applications is spacer\r fabrics. Since spacer fabrics have superior thermal and acoustic characteristics compared to conventional\r woven/knitted structures or nonwovens due to their wonderful 3D porous nature. It has two outer layer\r connected with the help of monofilament or multifilament spacer yarn which kept the fabric bulkier\r with low density and highly breathable. Due to porous nature, interconnected pores, bulkier and 3D\r structure, the spacer fabrics have ability to attenuate more sound energy than the conventional materials.\r This research paper presents an experimental investigation on the sound absorption behaviour and\r thermal properties of warp knitted spacer fabrics. The Sound absorption coefficient (SAC) and thermal\r conductivity (K) were measured using two microphone impedance tube and Alambeta. This study deeply\r discusses the influence of material parameters and characteristics on acoustic properties of 3D spacer\r knitted fabrics. The results show that the fabric surface property, porosity, flow resistivity and tortuosity\r have significant effects on the sound absorption as well as thermal conductivity. With the obtained\r results, this work derives regression equations and correlation between noise absorption and thermal\r properties of spacer fabrics.
subject: Articles
  topic: section
subject: Noise Reduction Coefficient (NRC);3D Spacer Fabrics;Flow Resistivity;Thermal Conductivity
  topic: keywords
subject:
  topic: subjects
creator: Veerakumar Arumugam
creator: Rajesh Mishra
creator: Dana Kremenakova Blanka Tomkova
creator: Jiri Militky
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 65
ending page: 76
doi: 10.3993/jfbim00287

Fillers Compounding and Process Optimization of Polyamide Wet-coating
type: item
description: In view of the many problems in the coating of the trademark, such as the poor stability of the filler,\r the poor adhesive resistance and ink absorption of the fabric, the high pH value and insufficient printing\r stability, etc. this paper focuses on the study of two kinds of common inorganic fillers, wollastonite and\r kaolin, on the structure of the polyamide 6 coating film and the properties of the wet coating trademark\r fabric. The mixture of these two kinds of filler is applied to the coating slurry, and the ratio and dosage\r are optimized. On this basis, combined with production practice, the wet coating process conditions\r were optimized. The results showed that the mass ratio of wollastonite and kaolin is 1:1 (the mass of\r the filler is 22% of anhydrous methanol), the compatibility of coating slurry is higher than that of the\r coating slurry prepared from single wollastonite, it is not easy to settle, but also the dispersion of coating\r slurry is better than that of only kaolin, and the microporous structure on the surface of coating film\r is more uniform. Moreover, the coated fabrics presented higher ink absorption performance. When the\r coating temperature is 35 ◦C, the viscosity of the coating is 2~3 Pa·s, the baking temperature is 160 ◦C,\r and the baking time is 80 s. The color fastness to the soaping color of the coated fabric reaches to grade\r 4-5, the printing effect reaches to 3-4, the whiteness and the fabric style are better.
subject: Articles
  topic: section
subject: Filler;Rheologic Properties;Mechanical Property;Polyamide Wet-coating;Process Optimization
  topic: keywords
subject:
  topic: subjects
creator: Qing Zhu
creator: Tao Li
creator: Jin-huan Zheng
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 85
ending page: 98
doi: 10.3993/jfbim00291

Extraction of Natural Dye from Phellodendron Amurense and Its Photofading
type: item
description: Phellodendron amurense was used as natural dye source. Orthogonal experiment was carried out to select\r optimal extract process of phellodendron amurense dye. The orthogonal analysis results showed extract\r temperature was the most important factor. Stability investigation showed phellodendron amurense\r extract was stable to weak acid and alkaloid environment. Common metal ion had little effects on\r absorbance of phellodendron amurense extraction. Wool fabric and silk fabric had been dyed with\r phellodendron amurense aqueous solution. Solarization experiment showed high concentration dyeing\r sped up photofading rate and the dyed silk fabric was more sensible to the solarization. Vitamin C acid\r treatment slowed down photofading rate.
subject: Articles
  topic: section
subject: Natural Dye;Phellodendron Amurense;Extraction;Photofading
  topic: keywords
subject:
  topic: subjects
creator: Gui-Zhen Ke
creator: Kun-Di Zhu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 77
ending page: 84
doi: 10.3993/jfbim00281

Garment Pleats Modeling and Force Analysis Based on Different Yarn Directions
type: item
description: Pleating is a common modeling technique in the manufacturing of garments. As requirements for the style of pleats are gradually increasing, it is necessary to consider the pleats modeling and force conditions In this paper, draping experiments were carried out with the warp yarn on horizontal, vertical, and a 45◦ angle (bias) for three types, After analyzing the modeling garment pleats, force conditions and comparing the angle of the resultant force, it can be concluded that the modeling and the force of the pleats varies with the direction of the yarn. The species of pleats are different and their modeling is forced differently. The results demonstrate that the modeling of draped pleats and sunray pleats-upper-length are mainly affected by gravity, the bias fabric was desirable in terms of roundness, symmetry and softness. For sunray pleats-whole-length style, the neckline, modeling, quantity and size of pleats, the stability of hem, and the effect of force should be rationally utilized to achieve the optimal styling. The modeling of mummy pleats was greatly affected by the stretch, the bias stripes were the optimal choice.
subject: Articles
  topic: section
subject: Pleat;Warp Direction;Draping;Modeling;Force Analysis
  topic: keywords
subject:
  topic: subjects
creator: Wen-Ting Yan
creator: Jian Li
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 101
ending page: 111
doi: 10.3993/jfbim00359

Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures
type: item
description: Temperature greatly in fluences the choice of clothing type. It is difficult to study the effect of temperature on the performance of a garment and the used fabric, as changes in temperature varies signi\fcantly within a year, a season or even a day. This research paper studied the effect of fabric properties on human thermal comfort under different environmental temperatures. The main methodology entails using a CAD software to simulate clothing thermal comfort value of a garment made of 6 fabric types, then conducting analysis on the simulation results. The results indicate that fabrics perform better within a range of temperature. The further they stray from the range, the smaller the impact of the fabrics on human comfort. The results from the methodology also demonstrates that activity types and temperature greatly affect the comfort value.
subject: Articles
  topic: section
subject: Textile CAD technology;Mathematical modeling;Mathematical analysis;Big data model
  topic: keywords
subject:
  topic: subjects
creator: Qing-hong Huang
creator: Zhang-chi Liu
creator: Tim Jun Li
creator: Yi Li
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 113
ending page: 126
doi: 10.3993/jfbim00368

Application of Visual Illusion Patterns on Modern Women's Knitwear Design
type: item
description: The jersey knitwear market occupies most of the knitting market due to its relatively simple manufacturing process and high public acceptance. Pattern design composed of some simple lines and geometric patterns usually applied to jersey knitwear, but it can not take advantage of knitting fabrics as much as possible. Therefore, in order to combine the merit of knitwear, the research process is as follows: firstly, learning about women's preferences for knitwear in their 30s and 50s through questionnaire distribution and in-store inquiries. Secondly, designing and producing urban women's knitwear collections with optical illusion patterns. The yarn used in this design experiment is mostly 100% 80s Australian wool, and the equipment is STOLL M1 plus--a computerized at knitting machine, all of which are provided and assisted by the FSF factory, Suzhou, China. It is \fnally determined that the jacquard pattern put into production is double-sided birdeye jacquard and air layer jacquard. In terms of the \fnal collection effect, the design ideas of \"Fake Two Pieces\" and \"Simulated Pleated Skirt\" are reflected in the collection named \"chengSHi\". The combination of knitwear and optical illusion patterns dramatically simpli\fes the production process and improves production efficiency owing to knitwear's one-piece weaving. Moreover, it also provides new inspiration for knitwear design.
subject: Articles
  topic: section
subject: Optical Illusion Pattern;Knitwear Design;Pattern Design;Visual Effects;Flat Knitting
  topic: keywords
subject:
  topic: subjects
creator: Shi-Yu Liu
creator: Guo-Xiang Yuan
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 89
ending page: 100
doi: 10.3993/jfbim00351