An experimental study of needle heating in sewing heavy materials using infrared radiometry

Liasi, Evangelos; Du, Ruxu; Simon, Dan; Bujas‐Dimitrejevic, Jasmina; Liburdi, Frank

doi:10.1108/09556229910297563

Cited by 22 publications

(10 citation statements)

References 8 publications

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“…The phenomenon of needle heating during high-speed sewing, particularly important in the sewing of synthetic materials, is also a subject that has been studied by several researchers, e.g by Hurt and Tyler (1971). Recently Liasi et al (1999) presented a series of publications concerning the problems arising from this occurence.…”

Section: Previous Workmentioning

confidence: 99%

Measurement and analysis of needle penetration forces in industrial high-speed sewing machine

Carvalho

Rocha

Monteiro

2009

Journal of the Textile Institute

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Section: Previous Workmentioning

confidence: 99%

Measurement and analysis of needle penetration forces in industrial high-speed sewing machine

Carvalho

Rocha

Monteiro

2009

Journal of the Textile Institute

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“…The hot needle damages the sewing thread and leaves undesirable spots on the fabric. The thread usually loses 35-45% of its strength [12,13].…”

Section: Introductionmentioning

confidence: 99%

Effect of Needle Heating on the Sewing of Medical Textiles

Adnan

2021

Polymers

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Medical textiles, such as gowns, scrubs, and even disposable uniforms, are all stitched by sewing machines. These garments are mostly made from polypropylene (PP) and polyester due to their durability, antibacterial performance, and functionality. Demand for these garments has significantly risen in the last few years, and sewing machines are able to stitch at extremely high speeds. However, higher sewing speeds can cause burnt spots on the fabric, lower seam strength, and a decrease in production due to thread breakage. In this paper, I have deeply discussed how medical textiles lose their strength and functionality due to higher sewing speeds; this problem is often neglected due to high production demands. This research is based on PP medical gowns, stitched with polyester (PET) threads, sewn at different speeds. The experimental work is also followed by a theoretical explanation of needle heating during the stitching of medical textiles.

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“…The results showed that ANN is very suitable for modelling the process. Liasi et al (1999) used Taguchi design of experiment (TDOE) method for finding optimum needle temperature by using factors affecting needle heating in sewing heavy materials such as upholstery fabrics. Majumdar et al (2004) used ANN for predicting spinning quality index and fibre micronaire from the given fibre properties.…”

Section: Ijcst 202 Introductionmentioning

confidence: 99%

Modelling the woven fabric strength using artificial neural network and Taguchi methodologies

Zeydan

2008

Int Jnl of Clothing Sci & Tech

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Purpose -Jacquard woven fabrics are widely used in various sections of upholstery industry, where mattress cover is one of them. Strength of jacquard woven mattress fabric depends on several factors. The objective of this study is to model the multi-linear relationship between fibre, yarn and fabric parameters on the strength of fabric using artificial neural network (ANN) and Taguchi design of experiment (TDOE) methodologies. Design/methodology/approach -TDOE was applied to determine the optimum design values and the contribution of each parameter. Robustness (performance) of models is measured by root mean squared error (RMSE). These tools will enable the user to predict the fabric strength from number of given inputs. It also provides the knowledge related to the contribution of fibre, yarn and fabric parameters on fabric strength. Fabrics tested in this study made from different fibre types and max/min level for several fabric and yarn-related parameters. The models generated with TDOE and ANN methodologies were compared with the actual experimental data. Findings -It was found that ANN model gives better approximation with the minimum RMSE.Research limitations/implications -The data taken from factory are related with jacquard woven fabric.Practical implications -This study has many practical implications that brings up a general approach for textile industry. During manufacturing, waste or scrap ratio can be reduced and production planning become more efficient. Originality/value -Firstly, before starting manufacturing in factory, we can easily predict the strength of woven fabric using the defined factors. This makes the model usable at the planning stage of the fabric. Secondly, the contribution of factors affecting fabric strength was determined. The ANN model generated in this study helps the engineers of planning department at the company easy to plan the manufacturing of fabric with a good estimation of fabric strength before the production order.

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An experimental study of needle heating in sewing heavy materials using infrared radiometry

Cited by 22 publications

References 8 publications

Measurement and analysis of needle penetration forces in industrial high-speed sewing machine

Measurement and analysis of needle penetration forces in industrial high-speed sewing machine

Effect of Needle Heating on the Sewing of Medical Textiles

Modelling the woven fabric strength using artificial neural network and Taguchi methodologies

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