The Experts below are selected from a list of 15669 Experts worldwide ranked by ideXlab platform
Vinay Kumar Midha - One of the best experts on this subject based on the ideXlab platform.
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Impact of Positive Thread Feeding for High-Speed Industrial Lockstitch Sewing Machines: Part II Response with Cotton and Spun Polyester Needle Threads
Journal of The Institution of Engineers (India): Series E, 2019Co-Authors: Vinay Kumar Midha, Vaibhav Gupta, Arunangshu MukhopadhyayAbstract:During high-speed industrial lockstitch sewing, the dynamic, thermal, bending and abrasive loading of the thread has a negative influence on the tensile properties of sewing threads. For maximum strength retention of needle thread, a positive thread feeding device is developed which lowers the stitch tightening tension (or peak tensions). Two types of threads, viz. mercerised cotton and spun polyester threads of linear density 40 tex and 60 tex, are taken for investigation. During conventional sewing, there is a significant loss in breaking force and elongation for cotton and spun polyester threads. It is observed that loss in breaking force is significantly lower with positive thread feeding device as compared to conventional sewing, whereas loss in breaking elongation is significantly lower in most of the cases for both cotton and spun polyester threads. The peak tensions observed during sewing with positive thread feeding device are much lower than the conventional sewing. The loss in breaking force and elongation for the cotton threads during sewing is higher than that of spun polyester threads in the case of both conventional sewing and sewing with positive thread feeding device. In both the cases, coarser threads show higher loss in breaking force and breaking elongation during sewing as compared to finer threads. During conventional sewing, the initial modulus of cotton threads decreases significantly, while there is a significant gain in initial modulus of spun polyester threads. With positive thread feeding device, there is a significant improvement in initial modulus for cotton and spun polyester threads.
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predicting sewing thread consumption for chainstitch using regression model
Journal of Textile Science & Engineering, 2017Co-Authors: Vinay Kumar MidhaAbstract:Prediction of sewing thread consumption required to sew a garment is important as it enables a reliable estimation of the garment cost and requirement of sewing thread. The sewing thread consumption for made-up end products is of equal interest to the sewing thread producer as to the garment maker. Referring to literature works, the most important factors that affect the sewing thread consumption are sewing thread type, stitch density, fabric thickness, number of fabric plies and fabric composition. Also, the researchers have provided models for predicting sewing thread consumption using specific set of parameters i.e., a given set of stitch densities, thickness of fabrics, for cotton threads or polyester threads or polyester cotton core spun threads separately. This study focuses on developing a single model which can predict the sewing thread consumption for cotton and polyester-cotton core spun threads for sewing medium weight cotton fabrics using stitch density, fabric assembly thickness and breaking elongation of sewing threads. Regression models were developed first for cotton and polyester cotton core spun threads separately, and then a combined model for cotton and polyester-cotton core spun thread was developed. The single model developed had a R2 of 0.956, which is quite equivalent to those of individual models for cotton and polyester cotton core spun threads.
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predicting sewing thread consumption for lockstitch using regression model
Research journal of textile and apparel, 2016Co-Authors: Vinay Kumar Midha, Vaibhav GuptaAbstract:Purpose This paper aims to develop a single regression model (instead of developing models separately for each thread type) to predict the sewing thread consumption for cotton and polyester staple spun threads. Design/methodology/approach A single regression model is developed for predicting sewing thread consumption for cotton and polyester threads. The polyester sewing threads have lower sewing thread consumption as compared to cotton threads because of their higher elongation behaviour. The model differentiates between the cotton and polyester sewing threads using their elongation values at peak levels of tensions experienced by the sewing threads during stitch tightening. By comparing the estimated thread consumption values with actual values, the effectiveness of model is evaluated with root mean square error and coefficient of determination (R2). Findings During the sewing process, by understanding the behaviour of different types of sewing threads, it is possible to develop a single regression model for all types of threads. Practical implications The sewing thread consumption can be easily calculated for cotton and polyester sewing threads using a single regression equation using the sewing assembly thickness, stitch density and elongation of thread at peak tension. The garment manufacturers need not depend on different charts for sewing thread consumption for stock management. Originality/value The sewing thread consumption is different for different types of threads, and garment manufacturers have to depend on different charts given by sewing thread manufacturers or use different equations for each type of threads. Using this single regression equation, sewing thread consumption for cotton and polyester sewing thread can be estimated accurately.
Majda Sfiligoj Smole - One of the best experts on this subject based on the ideXlab platform.
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Study of PES sewing thread properties
Fibers and Polymers, 2007Co-Authors: Andreja Rudolf, Jelka Geršak, Anna Ujhelyiova, Majda Sfiligoj SmoleAbstract:The properties of 100 % PES core-spun threads were studied before and after the sewing process at different stitching speeds, by determination of the threads tensile force during the sewing process and by changes of the mechanical and thermo-mechanical properties after the sewing process. This analytical method is especially advantageous when monitoring contemporary thermal and mechanical effects, as is the case when loading the sewing thread. Loadings during the sewing process cause structural changes in the thread-twisted fibres. This is confirmed by changes in the thermo-mechanical properties after the sewing process. Simultaneously, changes in the threads mechanical properties after sewing were also observed.
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Study of PES sewing thread properties
Fibers and Polymers, 2007Co-Authors: Andreja Rudolf, Jelka Geršak, Anna Ujhelyiova, Majda Sfiligoj SmoleAbstract:The properties of 100 % PES core-spun threads were studied before and after the sewing process at different stitching speeds, by determination of the threads tensile force during the sewing process and by changes of the mechanical and thermo-mechanical properties after the sewing process. This analytical method is especially advantageous when monitoring contemporary thermal and mechanical effects, as is the case when loading the sewing thread. Loadings during the sewing process cause structural changes in the thread-twisted fibres. This is confirmed by changes in the thermo-mechanical properties after the sewing process. Simultaneously, changes in the threads mechanical properties after sewing were also observed.
Paul T Cirino - One of the best experts on this subject based on the ideXlab platform.
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the effects of nicotine plus haloperidol compared to nicotine only and placebo nicotine only in reducing tic severity and frequency in tourette s disorder
Biological Psychiatry, 1992Co-Authors: Brain J Mcconville, Paul R Sanberg, Harold M Fogelson, Judy King, Paul T CirinoAbstract:We studied the effects of cHewing nicotine gum on tic frequency and severity in 10 patients with Tourette's disorder (TD) on haloperidol, versus 9 untreated TD patients; placebo gum was administered to 5 of these untreated patients. Videotapes of patients during a 2-hr period of 30 min baseline, 30 min gum cHewing, and two 30-min postgum-cHewing periods were utilized. For those TD patients on haloperidol, significant reductions occurred in tic frequency and severity during the gum-cHewing and the two postgum-cHewing periods. Nicotine gum alone caused a decrease in tic frequency only during gum-cHewing and one postgum-cHewing period, while placebo gum showed no effect. In this study, nicotine markedly potentiated haloperidol effects in treating TD, and showed lesser effects on TD when used alone.
Vaibhav Gupta - One of the best experts on this subject based on the ideXlab platform.
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Impact of Positive Thread Feeding for High-Speed Industrial Lockstitch Sewing Machines: Part II Response with Cotton and Spun Polyester Needle Threads
Journal of The Institution of Engineers (India): Series E, 2019Co-Authors: Vinay Kumar Midha, Vaibhav Gupta, Arunangshu MukhopadhyayAbstract:During high-speed industrial lockstitch sewing, the dynamic, thermal, bending and abrasive loading of the thread has a negative influence on the tensile properties of sewing threads. For maximum strength retention of needle thread, a positive thread feeding device is developed which lowers the stitch tightening tension (or peak tensions). Two types of threads, viz. mercerised cotton and spun polyester threads of linear density 40 tex and 60 tex, are taken for investigation. During conventional sewing, there is a significant loss in breaking force and elongation for cotton and spun polyester threads. It is observed that loss in breaking force is significantly lower with positive thread feeding device as compared to conventional sewing, whereas loss in breaking elongation is significantly lower in most of the cases for both cotton and spun polyester threads. The peak tensions observed during sewing with positive thread feeding device are much lower than the conventional sewing. The loss in breaking force and elongation for the cotton threads during sewing is higher than that of spun polyester threads in the case of both conventional sewing and sewing with positive thread feeding device. In both the cases, coarser threads show higher loss in breaking force and breaking elongation during sewing as compared to finer threads. During conventional sewing, the initial modulus of cotton threads decreases significantly, while there is a significant gain in initial modulus of spun polyester threads. With positive thread feeding device, there is a significant improvement in initial modulus for cotton and spun polyester threads.
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predicting sewing thread consumption for lockstitch using regression model
Research journal of textile and apparel, 2016Co-Authors: Vinay Kumar Midha, Vaibhav GuptaAbstract:Purpose This paper aims to develop a single regression model (instead of developing models separately for each thread type) to predict the sewing thread consumption for cotton and polyester staple spun threads. Design/methodology/approach A single regression model is developed for predicting sewing thread consumption for cotton and polyester threads. The polyester sewing threads have lower sewing thread consumption as compared to cotton threads because of their higher elongation behaviour. The model differentiates between the cotton and polyester sewing threads using their elongation values at peak levels of tensions experienced by the sewing threads during stitch tightening. By comparing the estimated thread consumption values with actual values, the effectiveness of model is evaluated with root mean square error and coefficient of determination (R2). Findings During the sewing process, by understanding the behaviour of different types of sewing threads, it is possible to develop a single regression model for all types of threads. Practical implications The sewing thread consumption can be easily calculated for cotton and polyester sewing threads using a single regression equation using the sewing assembly thickness, stitch density and elongation of thread at peak tension. The garment manufacturers need not depend on different charts for sewing thread consumption for stock management. Originality/value The sewing thread consumption is different for different types of threads, and garment manufacturers have to depend on different charts given by sewing thread manufacturers or use different equations for each type of threads. Using this single regression equation, sewing thread consumption for cotton and polyester sewing thread can be estimated accurately.
Crispian Scully - One of the best experts on this subject based on the ideXlab platform.
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the magnitude of tobacco smoking betel quid cHewing alcohol drinking interaction effect on oral cancer in south east asia a meta analysis of observational studies
PLOS ONE, 2013Co-Authors: Stefano Petti, Mohd Masood, Crispian ScullyAbstract:Tobacco smoking, betel quid cHewing and alcohol drinking are oral cancer risk factors. Observational studies unanimously report that oral cancer risk in smoking-drinking-cHewing exposed subjects is exceptionally high. However, none of them assessed the fractions of this risk attributable to the three individual risk factors and to the smoking-drinking-cHewing interaction. The present study sought to assess the magnitude of the smoking-drinking-cHewing interaction effect on oral cancer. A meta-analysis of observational South-East Asian studies which reported oral cancer odds ratios (ORs) stratified for smoking-drinking-cHewing exposures was performed. The pooled ORs were estimated and controlled for quality, heterogeneity, publication bias and inclusion criteria. The smoking-drinking-cHewing interaction effect was estimated through the pooled Relative Excess Risk due to Interaction (RERI, excess risk in smoking-drinking-cHewing exposed individuals with respect to the risk expected from the addition of the three individual risks of smoking, drinking and cHewing). Fourteen studies were included with low between-study heterogeneity. The pooled ORs for smoking, drinking, cHewing, smoking-drinking-cHewing, respectively were 3.6 (95% confidence interval −95% CI, 1.9–7.0), 2.2 (95% CI, 1.6–3.0), 7.9 (95% CI, 6.7–9.3), 40.1 (95% CI, 35.1–45.8). The pooled RERI was 28.4 (95% CI, 22.9–33.7). Among smoking-drinking-cHewing subjects, the individual effects accounted for 6.7% (smoking), 3.1% (drinking), 17.7% (cHewing) of the risk, while the interaction effect accounted for the remaining 72.6%. These data suggest that 44,200 oral cancer cases in South-East Asia annually occur among smoking-drinking-cHewing exposed subjects and 40,400 of these are exclusively associated with the interaction effect. Effective oral cancer control policies must consider concurrent tobacco smoking, alcohol drinking, betel quid cHewing usages as a unique unhealthy lifestyle.