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Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method

The surface finish is an important characteristic in the incremental sheet forming (ISF) process and is often influenced by numerous factors within the forming process. Therefore, this research was aimed at identifying the optimal forming parameters through the Taguchi method to produce high-quality...

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Autores principales: Murugesan, Mohanraj, Yu, Jae-Hyeong, Jung, Kyu-Seok, Cho, Sung-Min, Bhandari, Krishna Singh, Lee, Chang-Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876622/
https://www.ncbi.nlm.nih.gov/pubmed/35207997
http://dx.doi.org/10.3390/ma15041458
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author Murugesan, Mohanraj
Yu, Jae-Hyeong
Jung, Kyu-Seok
Cho, Sung-Min
Bhandari, Krishna Singh
Lee, Chang-Whan
author_facet Murugesan, Mohanraj
Yu, Jae-Hyeong
Jung, Kyu-Seok
Cho, Sung-Min
Bhandari, Krishna Singh
Lee, Chang-Whan
author_sort Murugesan, Mohanraj
collection PubMed
description The surface finish is an important characteristic in the incremental sheet forming (ISF) process and is often influenced by numerous factors within the forming process. Therefore, this research was aimed at identifying the optimal forming parameters through the Taguchi method to produce high-quality formed products. The forming tool radius, spindle speed, vertical step increment, and feed rate were chosen as forming parameters in the experimental design, with surface roughness as the response variable. Taguchi L16 orthogonal array design and analysis of variance (ANOVA) test were used to identify the parameter’s optimal settings and examine the statistically significant parameters on the response, respectively. Results confirmed that a significant reduction in surface roughness occurred with a drop in vertical step size and an increase in feed rate. In detail, the vertical step size has the most significant influence on the surface roughness, followed by the feed rate and the forming tool radius. In conclusion, the optimum level settings were obtained: forming tool radius at level 3, spindle speed at level 1, vertical step size at level 1, and feed rate at level 4. Additionally, confirmation experiment results based on the optimal settings indicated a good agreement against the experimental observation. Further, the response surface methodology (RSM) was also exploited to devise a mathematical model for predicting the surface roughness. The results comparison confirmed that both techniques could effectively improvise the surface finish.
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spelling pubmed-88766222022-02-26 Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method Murugesan, Mohanraj Yu, Jae-Hyeong Jung, Kyu-Seok Cho, Sung-Min Bhandari, Krishna Singh Lee, Chang-Whan Materials (Basel) Article The surface finish is an important characteristic in the incremental sheet forming (ISF) process and is often influenced by numerous factors within the forming process. Therefore, this research was aimed at identifying the optimal forming parameters through the Taguchi method to produce high-quality formed products. The forming tool radius, spindle speed, vertical step increment, and feed rate were chosen as forming parameters in the experimental design, with surface roughness as the response variable. Taguchi L16 orthogonal array design and analysis of variance (ANOVA) test were used to identify the parameter’s optimal settings and examine the statistically significant parameters on the response, respectively. Results confirmed that a significant reduction in surface roughness occurred with a drop in vertical step size and an increase in feed rate. In detail, the vertical step size has the most significant influence on the surface roughness, followed by the feed rate and the forming tool radius. In conclusion, the optimum level settings were obtained: forming tool radius at level 3, spindle speed at level 1, vertical step size at level 1, and feed rate at level 4. Additionally, confirmation experiment results based on the optimal settings indicated a good agreement against the experimental observation. Further, the response surface methodology (RSM) was also exploited to devise a mathematical model for predicting the surface roughness. The results comparison confirmed that both techniques could effectively improvise the surface finish. MDPI 2022-02-16 /pmc/articles/PMC8876622/ /pubmed/35207997 http://dx.doi.org/10.3390/ma15041458 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Murugesan, Mohanraj
Yu, Jae-Hyeong
Jung, Kyu-Seok
Cho, Sung-Min
Bhandari, Krishna Singh
Lee, Chang-Whan
Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title_full Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title_fullStr Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title_full_unstemmed Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title_short Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method
title_sort optimization of forming parameters in incremental sheet forming of aa3003-h18 sheets using taguchi method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876622/
https://www.ncbi.nlm.nih.gov/pubmed/35207997
http://dx.doi.org/10.3390/ma15041458
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