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Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)

Polycaprolactam (PA6) is a thermoplastic polymeric material and because of its excellent mechanical properties, it has found an extensive application in military, textile, biomedical, building and construction, and several others. Because of its extensive applications, machine turning operation beco...

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Autores principales: Esangbedo, Moses Olabhele, Abifarin, Johnson Kehinde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319871/
https://www.ncbi.nlm.nih.gov/pubmed/37402787
http://dx.doi.org/10.1038/s41598-023-37383-8
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author Esangbedo, Moses Olabhele
Abifarin, Johnson Kehinde
author_facet Esangbedo, Moses Olabhele
Abifarin, Johnson Kehinde
author_sort Esangbedo, Moses Olabhele
collection PubMed
description Polycaprolactam (PA6) is a thermoplastic polymeric material and because of its excellent mechanical properties, it has found an extensive application in military, textile, biomedical, building and construction, and several others. Because of its extensive applications, machine turning operation becomes a crucial section in the manufacturing of high-grade PA6. Hence, to have a high-grade PA6, turning operational conditions (cutting speed, feed rate and depth of cut) are optimized on the three surface profile responses and one material removal rate (MMR) with help probability based multi-response optimization analysis. This analysis is employed for an efficient multi-criterial decision making when PA6 is manufactured with a turning operation machine. The result revealed an optimal turning operational conditions to be 860 rpm cutting speed, 0.083 mm/rev feed rate, and 4 mm depth of cut. Furthermore, the analysis of variance and the numerical presentation of the turning operational conditions revealed that the feed rate is the most significant condition with a contribution of 34.09%, followed by cutting speed with a contribution of 32.05%, and then depth of cut with a contribution of 28.62%. Also, the confirmation analysis revealed a very high efficacy of the multi-objective optimization method employed in this study. This suggests that probability based multi-objective optimization is efficacious for optimizing machine conditions of any manufactured engineering material. It is interesting to state that the high confidence level placed on the considered turning operational conditions gives room for probable machine conditions adjustments for better PA6 in the case where different machine types are employed.
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spelling pubmed-103198712023-07-06 Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6) Esangbedo, Moses Olabhele Abifarin, Johnson Kehinde Sci Rep Article Polycaprolactam (PA6) is a thermoplastic polymeric material and because of its excellent mechanical properties, it has found an extensive application in military, textile, biomedical, building and construction, and several others. Because of its extensive applications, machine turning operation becomes a crucial section in the manufacturing of high-grade PA6. Hence, to have a high-grade PA6, turning operational conditions (cutting speed, feed rate and depth of cut) are optimized on the three surface profile responses and one material removal rate (MMR) with help probability based multi-response optimization analysis. This analysis is employed for an efficient multi-criterial decision making when PA6 is manufactured with a turning operation machine. The result revealed an optimal turning operational conditions to be 860 rpm cutting speed, 0.083 mm/rev feed rate, and 4 mm depth of cut. Furthermore, the analysis of variance and the numerical presentation of the turning operational conditions revealed that the feed rate is the most significant condition with a contribution of 34.09%, followed by cutting speed with a contribution of 32.05%, and then depth of cut with a contribution of 28.62%. Also, the confirmation analysis revealed a very high efficacy of the multi-objective optimization method employed in this study. This suggests that probability based multi-objective optimization is efficacious for optimizing machine conditions of any manufactured engineering material. It is interesting to state that the high confidence level placed on the considered turning operational conditions gives room for probable machine conditions adjustments for better PA6 in the case where different machine types are employed. Nature Publishing Group UK 2023-07-04 /pmc/articles/PMC10319871/ /pubmed/37402787 http://dx.doi.org/10.1038/s41598-023-37383-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Esangbedo, Moses Olabhele
Abifarin, Johnson Kehinde
Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title_full Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title_fullStr Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title_full_unstemmed Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title_short Determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
title_sort determination and managerial implications of machine conditions for high-grade industrial polycaprolactam (nylon 6)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319871/
https://www.ncbi.nlm.nih.gov/pubmed/37402787
http://dx.doi.org/10.1038/s41598-023-37383-8
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