Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar

Selection of machining parameters and better prediction for cutting tool flank wear is indispensable in hard machining as flank wear is directly influences the quality of machined surface. In the current study, parametric optimization and predictive model were carried out for the flank wear of TiSiN...

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Main Author: M., Kaladhar
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/36588/
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author M., Kaladhar
author_facet M., Kaladhar
author_sort M., Kaladhar
building UiTM Institutional Repository
collection Online Access
description Selection of machining parameters and better prediction for cutting tool flank wear is indispensable in hard machining as flank wear is directly influences the quality of machined surface. In the current study, parametric optimization and predictive model were carried out for the flank wear of TiSiN-TiAlN nanolaminate cutting insert in hard turning of 58 HRC AISI 1045 medium carbon steel which is an unexplored area. Taguchi’s method was employed for parametric optimization and predictive model was established for flank wear by response surface methodology (RSM) based regression analysis. Cutting speed: 40m/min, feed rate: 0.3 mm/rev and depth of cut: 75 μm generates optimum value of flank wear 0.07 mm. In conclusion, verification test was carried out to validate the optimal set of parameters and the result was shown a great reduction of 81.42% in the flank wear. The predictive model elaborated for flank wear was dependable and helps to make better prediction to the manufacturing industries within specified range of the experimentation.
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spelling uitm-365882020-11-12T02:51:33Z https://ir.uitm.edu.my/id/eprint/36588/ Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar jmeche M., Kaladhar TJ Mechanical engineering and machinery Selection of machining parameters and better prediction for cutting tool flank wear is indispensable in hard machining as flank wear is directly influences the quality of machined surface. In the current study, parametric optimization and predictive model were carried out for the flank wear of TiSiN-TiAlN nanolaminate cutting insert in hard turning of 58 HRC AISI 1045 medium carbon steel which is an unexplored area. Taguchi’s method was employed for parametric optimization and predictive model was established for flank wear by response surface methodology (RSM) based regression analysis. Cutting speed: 40m/min, feed rate: 0.3 mm/rev and depth of cut: 75 μm generates optimum value of flank wear 0.07 mm. In conclusion, verification test was carried out to validate the optimal set of parameters and the result was shown a great reduction of 81.42% in the flank wear. The predictive model elaborated for flank wear was dependable and helps to make better prediction to the manufacturing industries within specified range of the experimentation. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2020 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36588/1/36588.pdf M., Kaladhar (2020) Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar. (2020) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 17 (3). pp. 69-84. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/
spellingShingle TJ Mechanical engineering and machinery
M., Kaladhar
Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title_full Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title_fullStr Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title_full_unstemmed Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title_short Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar
title_sort parametric optimization and modeling for flank wear of tisin-tialn nanolaminate cutting insert / m. kaladhar
topic TJ Mechanical engineering and machinery
url https://ir.uitm.edu.my/id/eprint/36588/
https://ir.uitm.edu.my/id/eprint/36588/