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Multi response optimization in face milling process of assab xw-42 tool steel with liquid nitrogen cooling using taguchi-grey-fuzzy method


Article Information

Title: Multi response optimization in face milling process of assab xw-42 tool steel with liquid nitrogen cooling using taguchi-grey-fuzzy method

Authors: M. A. Wahid, B.O.P. Soepangkat, B. Pramujati

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 4

Language: English

Categories

Abstract

In this study, optimization of milling parameters on surface roughness, material removal rate and cutting force during symmetrical cryogenic face milling process of tool steel ASSAB XW42 were investigeted. The milling parameters varied are cutting speed, feeding speed, axial depth of cut and flow rate of cryogenic cooling. The experimental design using a L18 orthogonal array and it is selected based on the Taguchi method. Experiments were completely randomized and repeated twice. Grey relational grade used to analyze the level of multiple responses (surface roughness, material removal rate and cutting force). Fuzzy logic was used to perform fuzzy reasoning of some performance characteristics. Experimental results show that the axial depth of cut gives the highest contribution for reducing the total variation of the multiple response, followed by flow rate, feeding speed and cutting speed. The maximum material removal rate and minimum surface roughness and cutting force could be obtained by using the values of flow rate, cutting speed, feeding speed and axial depth of cut of 0.5 l/minute, 300 m/minute, 150 mm/minute and 0.2 mm respectively.


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