• Journal of the Korean Society of Costume
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• v.53 no.7
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• pp.139-146
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• 2003

This study was aimed at analyzing a characteristics of the sewing machines and analyzing the effective sewing time in the garment manufacture process, therefore to obtain the basic data concerned with the sewing. operation standardization. The two methods were experimented. First, two garment factories established in Seoul and Geonggi province were randomly selected for the analyzing the sewing speed of the sewing operator for the optimized sewing speed using the equipment of Digital Tachometer HT4100. Second, five garment factories established in Seoul and Geonggi province were randomly selected to analyze the required time data to reach the fixed sewing speed using the lock stitch sewing machine which was used in the sewing factories. The results are divided into 3 categories as follows; 1) Survey results for the optimized sewing speed : The sewing operations of 10~20 cm range were most frequently selected in seam constructions in Korean sewing factories, and the sewing speed of 2,500 R.P.M was most used; 2) Required time to reach the fixed sewing speed using the lock stitch sewing machine : The mean of required time to the fixed sewing speed of 2.500 R.P.M was 3.5 second, and the mean of the real-sewing length during the 3.5 second was 43.8 cm ; 3) Analysis of the optimized sewing speed calculated using these results : The optimized sewing speed for the sewing manufacturers of the upward of 43.8 cm was 2,500 R.P.M. and for the sewing manufacturers of the below of 42.2 cm, the optimized sewing speed was 2.450 R.P.M.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.7
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• pp.998-1006
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• 1999

This study has investigated the relation between the sewing speed and seam breaking strength applied perpendicular to the seam direction. Breaking strength efficiency breaking mode of seams were examined under various sewing conditions using three kinds of sewing threads and four kinds of fabrics. The results obtained are as follows : 1. According to the increase in sewing speed seam strength was remarkably decreased. Seam strength and its loss difference were shown variously as threads and fabrics were mixed. 2. In case of fabrics with higher strength seam strength showed higher. And the seam strength was determined by the loop strength. 3. In case of fabrics with lower strength seam strength and its difference for every sample showed lower. So the strength of fabrics dominated the seam strength than those of threads. 4. In the experiment using various fabrics and sewing threads there was a type of thread appropriate to each fabric. Fabrics and threads with have similar physical properties were shown proper seam efficiency. 5. The breaking mode was different for every sample seam that was tested.

• Journal of Industrial Technology
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• v.19
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• pp.179-187
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• 1999

The computer pattern sewing machine is an automatic sewing machine that is controlled by an input pattern. Even a novice can run this machine for various tasks fast and reliably such as sewing a button, a belt ring and an airbag, etc. The pattern processing software, which is the main software of this machine, is for editing and modifying pattern data by online teaching or off-line editing, setting up parameters, and calculate a moving distance of working area on the x-y axes. In this paper we propose an algorithm to generate pattern data for sewing by simplifying image data. The pattern data are composed of outline data like dot, line, circle, arc, curve, etc. We need converting this data into sewing data which involve sewing parameter, moving distance of working are an the x-y axes, thread, spindle speed.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.281-285
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• 1990

Our N.C. sewing machine is a device that acts sewing automatically in reference to N.C. data made by data input device. Our N.C. sewing mechine is composed of induction motor that has electric clutch and brake, step motor that drives x-y table. Sewing area of our machine is 170 mm * 100 mm, maximum sewing speed is about 2000 spm, maximum stitch length 6.2 mm. In actual sewing, synchronization between motion of needle up-down and motion of x-y table is a critical factor. In this paper, technology about synchronization will be profoundly discussed.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.91.3-91
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• 2002

This paper describes a design of an induction motor control system for industrial sewing machines. On the basis of vector control principle, the control system is simulated by using the ACSL, implemented on a DSP(TMS320C31).A space vector modulation is used as the inverter switching strategy. For the application of industrial sewing machines, A fast acceleration (deceleration) and removal of velocity ripples are required, because a sewing quality and sewing machines life time depends on these characteristics. The designed control system has fast dynamic characteristics and small speed vibration. The result is applied to the industrial sewing machine and result are shown.

• Journal of the Korean Home Economics Association
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• v.24 no.3
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• pp.59-67
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• 1986

The heat of sewing needle is generated through the friction during the needle penetration into and withdrawal from fabrics. Therefore, effects of sewing condition for knitted fabric on the heat generation of needle was examined. The needle size was not the large influence factor of heat generation of needle but the needle point shape significantly affects needle temperature. And the super needle coated with fluoro resin had more effect on reducing the heat of needle. The decrease of sewing speed and the increase of stitch rate had more effect on the reduction in needle temperature. Also the Influence of a sewing thread on the needle temperature was very large compared with bare needle. As expected, an increase in the number of fabric layers result in higher needle temperature.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1405-1409
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• 1990

Generally, the required control functions for the industrial auto trimming sewing machines are the sewing speed control with pedal input, the up/down stopping-position control of the needle, the automatic sewing according to the memorized sewing pattern including the number of stitches, and etc. We developed a new type of AC servo motor controller, which suffices for all the above functions. The developped controller is working well, and the performances are very good for the practical use.

• Journal of Industrial Technology
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• v.31 no.A
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• pp.129-133
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• 2011

In this paper, a surface mounted permanent magnet synchronous motor(SPMSM) drive system for industrial sewing machine was developed. Even through a lowr-esolution encoder is used for a low cost, using a full order observer enables to estimate accurate speed and position. And it also compensates a disturbance torque caused by the belt between a load and a motor. In order to control precisely stop positions of a needle, a speed trajectory is calculated from the acceleration pattern which is obtained from the position reference. The performance of the developed system is verified by experimental results.

• Smart Media Journal
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• v.13 no.2
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• pp.85-94
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• 2024

Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.

• Journal of environmental and Sanitary engineering
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• v.21 no.4 s.62
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• pp.19-28
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• 2006

The purpose of this study was to investigate the related factor for the prevalence of musculoskeletal symptoms among 212 sewing worker. The survey was performed with self-administered questionnaire for the risk factors related to musculoskeletal disorders(MSDs) from August 5 to 7 in 2005. The prevalence of musculoskeletal symptoms were 75.8% and the those of the local symptoms were 71.7 % for shoulder, 60.4 % for neck, 35.8 % for arm and 50.9 % for wrist. The risk factors related the self-reported MSDs had not shown in general characteristics. But, there was a significant difference between daily working hour and wrist, working speed and neck, the degree of satisfaction and wrist for work related factor. Also, it was shown the significant difference between chair height and neck, the height of sewing machine and wrist among the space below work station, neck, waist for the prevalence of musculoskeletal symptoms. The significant correlation was shown for daily working hour and wrist, working speed and arm, work load and shoulder and the degree of satisfaction and arm for work related subjective symptom. Considering above results, it is suggested the ergonomic design be provided to working hour, the height of chair and work station as well as daily working hour even there is a significant difference for the prevalence of symptoms in each body part for sewing workers.