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Numerical Modelling and Optimization of Surface Finish during Peripheral Milling of AISI 4340 Steel using RSM

Publication Type : Journal Article

Publisher : Materials Today: Proceedings

Source : Materials Today: Proceedings, Elsevier Ltd, Volume 5, Number 11, p.24612-24621 (2018)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058423188&doi=10.1016%2fj.matpr.2018.10.259&partnerID=40&md5=11f549496521b322ccdeca05801d855f

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2018

Abstract : The effect of machining parameters, Cutting Speed, Feed Rate, and Depth of cut, on surface finish during peripheral milling of AISI 4340 steel, studied using response surface methodology. This paper suggests a distinctive way to calculate the surface finish, using the variance of effective plastic strain values obtained from the numerical model. The Johnson-Cook damage and material models are used in the numerical model along with the ALE. The variance of PEEQ was optimized using ANOVA, which shows that cutting speed was the most dominant factor. The optimal settings of the machining parameters was obtained for better surface finish.

Cite this Research Publication : P. Gopikrishnan, Akbar, A., Asokan, A., Bhaskar, B., and Sumesh C.S., “Numerical Modelling and Optimization of Surface Finish during Peripheral Milling of AISI 4340 Steel using RSM”, Materials Today: Proceedings, vol. 5, pp. 24612-24621, 2018.

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