The mechatronic principles for intelligent sewing environments

Stylios, George K; Sotomi, O. J.; Zhu, Reiyao; Xu, Yucheng; Deacon, Robert M. J.

doi:10.1016/0957-4158(95)00021-v

Cited by 18 publications

(9 citation statements)

References 2 publications

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“…Stylios et al 60 devised a sewability integrated environment with an online self-learning ability to carry out intelligent sewing production. The integrated environment is capable of mimicking the way that subjective decisions are made and implemented in the sewing process.…”

Section: Research Issues For Artificial Intelligence Applications In the Apparel Industrymentioning

confidence: 99%

“…The NN and FL-based approaches obtained more applications than other HI approaches. Stylios et al 60 used a NN to model fuzzy rules. Fan et al 18 used the fuzzy concept to describe the possibilities of output patterns matching the corresponding drape image and used a NN to model the relationship between fabric properties and the possibilities.…”

Section: Artificial Intelligence Approaches Used In the Apparel Industrymentioning

confidence: 99%

See 1 more Smart Citation

Applications of artificial intelligence in the apparel industry: a review

Guo

Wong

Leung

et al. 2011

Textile Research Journal

106

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This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.

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Section: Research Issues For Artificial Intelligence Applications In the Apparel Industrymentioning

confidence: 99%

Section: Artificial Intelligence Approaches Used In the Apparel Industrymentioning

confidence: 99%

Applications of artificial intelligence in the apparel industry: a review

Guo

Wong

Leung

et al. 2011

Textile Research Journal

106

View full text Add to dashboard Cite

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“…“Sewability” has become a generic term in textile science and technology, meaning the ability of a material to be joined effectively and to conform within given specifications of quality and performance acceptable for its end use (Stylios et al. , 1995).…”

Section: Introductionmentioning

confidence: 99%

A novel method of identifying sewing damage in single jersey fabrics

Yildiz

Pamuk

2022

IJCST

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PurposeThis paper suggests a new method for determining the sewing damage that occurs in single jersey fabrics based on the calculation of the needle hole area. This paper also aims to investigate the effects of material type, sewing parameters, and repeated washing cycles on sewing damage by using this method.Design/methodology/approachSix knitted fabrics, differing in structure and raw material, were produced. Samples were sewn using different sewing parameters, and they were subjected to ten washing cycles. Values of average needle hole area, an objective indicator of sewing damage, were calculated before and after repeated washing cycles using image analysis software and were evaluated statistically.FindingsThe results showed that the average needle hole area calculated via the image analysis software effectively estimates sewing damage as the results obtained were compatible with those stated in the literature. Furthermore, fabric type, sewing direction, sewing thread type, and needle size significantly affected the sewing damage. However, stitch density did not affect the sewing damage. When the effect of washing cycles was compared, it was seen that washing leads to an increase in sewing damage.Originality/valueA review of the existing literature shows that no previous study has evaluated sewing damage using image analysis software. This study proposes a novel objective method to determine the sewing damage that occurs in knitted fabrics.

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“…An understanding of these aspects will be useful for machine design, selection of the right sewing thread and machine parameters so as to minimize the strength loss. It may be added that Stylios et al (1994, 1995) has contributed significantly as regards developing control systems for intelligent sewing machine (Stylios and Sotomi, 1994, 1996). Based on the proposed research and its outcome, the sewing parameters can be monitored and re‐adjusted for intelligent garment manufacturing process.…”

Section: Introductionmentioning

confidence: 99%

Effect of high‐speed sewing on the tensile properties of sewing threads at different stages of sewing

Midha

Kothari²,

Chatopadhyay³

et al. 2009

International Journal of Clothing Science and Technology

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PurposeIn this paper, the contribution of dynamic loading, needle and fabric, and the bobbin thread interaction on the changes in the tensile properties of the needle thread are to be investigated.Design/methodology/approachTensile properties of the needle thread have been studied at four sewing stages, namely before being subjected to any loading, after dynamic loading, before bobbin thread interaction and after sewing.FindingsIt is observed that bobbin thread interaction plays a dominant role in the reduction of tensile properties except breaking elongation in cotton threads. Dynamic loading is mainly responsible for reduction in the breaking elongation of cotton threads. During sewing, there is an increase in initial modulus due to the dynamic loading, which is more in the case of cotton threads than polyester threads. However, the impact of dynamic loading on tenacity, breaking elongation and breaking energy is greater for coarser cotton thread. The contribution of bobbin thread interaction is more for fine threads as compared to coarse threads.Practical implicationsSince seam strength is dependent on the thread strength, a reduction in thread strength during sewing will lead to lower seam strength than expected. Therefore, in order to minimize the thread strength reduction, it is important to understand the contribution of different machine elements or processes during sewing. During high‐speed sewing, the dynamic and thermal loading are found to be the major causes of strength reduction of needle thread, which can go up to 30‐40 per cent. However, the extent of strength loss at different sewing stages is unknown.Originality/valueThe study will help in engineering sewing threads, designing of sewing machines and selection of process parameters for controlling loss of useful properties of sewing threads.

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The mechatronic principles for intelligent sewing environments

Cited by 18 publications

References 2 publications

Applications of artificial intelligence in the apparel industry: a review

Applications of artificial intelligence in the apparel industry: a review

A novel method of identifying sewing damage in single jersey fabrics

Effect of high‐speed sewing on the tensile properties of sewing threads at different stages of sewing

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