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Heat Transfer Research

Publicado 18 números por año

ISSN Imprimir: 1064-2285

ISSN En Línea: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

ANALYTICAL MODELING OF NEEDLE TEMPERATURE IN AN INDUSTRIAL SEWING MACHINE

Volumen 49, Edición 5, 2018, pp. 385-394
DOI: 10.1615/HeatTransRes.2018018051
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SINOPSIS

In industrial sewing, needle heating is a key problem that limits a further increase of sewing speed, and hence the productivity. A high temperature of the needle affects the quality and productivity of sewing. This study deals with the analytical modeling of needle temperature in an industrial sewing machine. Based on the friction heat generated between the needle and fabric and the needle and thread, the authors show that the needle temperature is dependent on the geometry of the sewing machine's driving mechanism and on the sewing speed. In the present paper, the objective is to analyze the heat transfer mechanism in an industrial sewing machine and to develop a simpler model for predicting a maximum temperature of the needle. An experimental method of determining the needle temperature by inserted thermocouples is described. The developed analytical model is validated through comparison with experimental results. Compared with experimental results, the proposed analytical model can better predict the needle heating than the models described in the literature. In fact, the relative error between experimental and analytical results does not exceed 6%.

CITADO POR
  1. Baban Marius, Baban Calin Florin, Kiss Edit Toth, Maintenance Scheduling of the Embroidery Machines Based on Fuzzy Logic, 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR), 2019. Crossref

  2. Bilel Najlawi, Mohamed Nejlaoui, Zouhaier Affi, Lotfi Romdhane, A Novel Approach for Robust Design of Sewing Machine, in Advances in Mechanical Engineering and Mechanics, 2019. Crossref

  3. Bilel Najlawi, Mohamed Nejlaoui, Zouhaier Affi, Lotfi Romdhane, Optimization Design of the Sewing Mechanism Using Multi-criteria Colonial Competitive Method, in Design and Modeling of Mechanical Systems - IV, 2020. Crossref

  4. Jayakumari M., Rajalakshmi M., Priyalatha S., Kapoor Vibha, Sampath M. B., Suganth G., Prakash C., Investigation of Change in Sewing Needle Temperature: Part I: Influence of Fabric Types and Sewing Parameters, Journal of Testing and Evaluation, 50, 5, 2022. Crossref

  5. Mohapatra Shradhanjali, S Priyalatha, G K Indu, Christy P Benitta, R Paranthaman, K Saravanan, Kumar S Kubera Sampath, C Prakash, Investigation of Factors Influencing Rise in Needle Temperature to Enhance the Production and Seam Performance –part I, Journal of Natural Fibers, 2022. Crossref

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