A Sewability Integrated Environment (SIE) for intelligent garment manufacture

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

doi:10.1049/cp:19940913

Cited by 9 publications

(9 citation statements)

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“…The proper quality of garments depends on fabric quality, machine parameters, and fabric sewability. Sewability can be defined as ease of formation of shell structures and the ability of material to be seamed effectively without fabric damage, and also to provide suitable end-use performance [5][6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Woven Denim Fabric Sewability based on Needle Penetration Force

Haghighat

Etrati

Najar

2014

Journal of Engineered Fibers and Fabrics

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This paper investigates the sewability of the woven denim fabrics based on needle penetration force (NPF). For this purpose, the effects of fabric weight, number of fabric layers, needle size, and the interaction effect of these parameters on NPF in twill denim fabrics were investigated. In addition, the influence of weave pattern on NPF was studied. The statistical analysis results show that NPF is influenced by these parameters. Fabric weight has a greater effect on NPF than other parameters. With increasing fabric weight, number of fabric layers, and needle size, the NPF increases. The trend of this increase is nonlinear as predicted by a cubic regression equation. The fabric sewability is also influenced by the mentioned parameters. The fabric sewability becomes poor with increasing fabric weight, needle size, and number of fabric layers. Generally, lighter fabrics sewn with finer needles have better sewability.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Woven Denim Fabric Sewability based on Needle Penetration Force

Haghighat

Etrati

Najar

2014

Journal of Engineered Fibers and Fabrics

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“…Buckling measurement was first applied to clothing fabrics by Grosberg and Swani [ 7 ]. Bending, shearing, and stretching were further explored for the sewability of fabrics by Stylios et al [ 8 , 9 , 10 ], and the shape, fit, and drape ability of garments by Postle [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Multidimensional Tensile, Shear, and Buckling Sensor for the Measurement of Flexible Fibrous Materials

Luo,

Stylios

2024

Sensors

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To meet the complex and diverse demands for low-stress mechanical measurements of fabrics and other flexible materials, two integrated multidimensional force sensors with the same structure but different ranges were explored. They can support both rapid and precise low-noise, high-precision, low-cost, easy-to-use, reliable, and intelligent solutions for the complex measurement of fabric mechanics. Having analysed the mechanical relationship of the parallel beam theory, and considering the specific requirements of fabric measurement, a novel multi-dimensional force sensor is designed, capable of measuring tensile, shear, and buckling properties. Finite element analysis is used to simulate the mechanical performance of this sensor for fabric-loading/unloading measurement, and the sensitivity of the mechanical quantity transfer, the amount of sensor deformation, the stress distribution, and the degree of inter-dimensional coupling have been investigated and verified. The basis for subsequent digital processing is achieved by a low-offset, low-temperature-drift, low-power-consumption analogue front end, 24-bit ADC circuit, and signal conditioning electronics, suitable for the measurement of fabric mechanics under low stress, which is like the end-user requirements. The sensor information channel is supported by a host microcontroller with a DSP and a floating-point processing instruction set. Information processing is performed in time-sharing with the support of a multitasking real-time operating system. The purpose of designing this sensor is to facilitate the development of a new testing instrument, which will adopt the advances of current instruments whilst eliminating their shortcomings.

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“…Among several indexes used to determine the sewability of fabric, needle penetration force, (NPF) is one of the most important ones. The quantitative value of NPF could be used to determine the damage of sewn fabrics during the sewing process, which has negative effects on the quality of apparel [3][4]. The needle penetration force is influenced by several parameters such as the mechanical properties of the textile material, sewing needle size, number of fabric layers, sewing machine speed, and weave pattern [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

The Prediction of Needle Penetration Force in Woven Denim Fabrics Using Soft Computing Models

Haghighat

Najar

Etrati

2014

Journal of Engineered Fibers and Fabrics

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The aim of this paper was to predict the needle penetration force in denim fabrics based on sewing parameters by using the fuzzy logic (FL) model. Moreover, the performance of fuzzy logic model is compared with that of the artificial neural network (ANN) model. The needle penetration force was measured on the Instron tensile tester. In order to plan the fuzzy logic model, the sewing needle size, number of fabric layers and fabric weight were taken into account as input parameters. The output parameter is needle penetration force. In addition, the same parameters and data are used in artificial neural network model. The results indicate that the needle penetration force can be predicted in terms of sewing parameters by using the fuzzy logic model. The difference between performance of fuzzy logic and neural network models is not meaningful ( RFL=0.971 and RANN=0.982). It is concluded that soft computing models such as fuzzy logic and artificial neural network can be utilized to forecast the needle penetration force in denim fabrics. Using the fuzzy logic model for predicting the needle penetration force in denim fabrics can help the garment manufacturer to acquire better knowledge about the sewing process. As a result, the sewing process may be improved, and also the quality of denim apparel increased.

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A Sewability Integrated Environment (SIE) for intelligent garment manufacture

Cited by 9 publications

References 0 publications

Evaluation of Woven Denim Fabric Sewability based on Needle Penetration Force

Evaluation of Woven Denim Fabric Sewability based on Needle Penetration Force

A Novel Multidimensional Tensile, Shear, and Buckling Sensor for the Measurement of Flexible Fibrous Materials

The Prediction of Needle Penetration Force in Woven Denim Fabrics Using Soft Computing Models

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