LAPSE:2023.24100
Published Article
LAPSE:2023.24100
A Basic Study on Establishing the Automatic Sewing Process According to Textile Properties
Suhyun Lee, Soohyeon Rho, Daeyoung Lim, Wonyoung Jeong
March 27, 2023
Abstract
This study aimed to establish an automatic sewing process for garment production according to textile properties. An automatic feeding system and a self-made template were introduced to an industrial sewing machine. Two types of stitches were performed on fabrics with various physical properties and surface roughness using this automatic sewing machine. The appearance, stitch length and width, seam strength, and seam efficiency were evaluated according to the sewing conditions, such as presser height and sewing speed. In addition, the correlation between textile properties, sewing conditions, and sewability was analyzed to derive a regression equation for sewability. The evaluation showed no difference in the lock stitch condition. On the other hand, under the zigzag stitch condition, the stitch width differed according to the presser height, which also affected the seam structure. The optimal presser height for each fabric was derived from the experimental results. In terms of the sewing speed, however, the seam strength was the best at 200 RPM in the lock stitch and 400 RPM in the zigzag stitch. The moderating effect of the presser height between textile properties and sewability in the lock stitch condition was confirmed. This result can be used as basic data for establishing an automatic sewing process for smart factories.
Keywords
automatic sewing process, garment production, regression equation for sewability, smart factory
Subject
Suggested Citation
Lee S, Rho S, Lim D, Jeong W. A Basic Study on Establishing the Automatic Sewing Process According to Textile Properties. (2023). LAPSE:2023.24100
Author Affiliations
Lee S: Department of Fashion Design, College of Human Ecology, Jeonbuk National University, Jeonju 54896, Korea
Rho S: Human Convergence Technology R&D Department, Korea Institute of Industrial Technology, Ansan 15588, Korea
Lim D: Human Convergence Technology R&D Department, Korea Institute of Industrial Technology, Ansan 15588, Korea
Jeong W: Human Convergence Technology R&D Department, Korea Institute of Industrial Technology, Ansan 15588, Korea [ORCID]
Journal Name
Processes
Volume
9
Issue
7
First Page
1206
Year
2021
Publication Date
2021-07-13
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9071206, Publication Type: Journal Article
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LAPSE:2023.24100
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https://doi.org/10.3390/pr9071206
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Mar 27, 2023
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CC BY 4.0
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Mar 27, 2023
 
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