Multi response assessment of EN19 alloy steel in CNC milling process using Fuzzy matter element methodology

被引：0
|
作者：
Chalisgaonkar, Rupesh [1 ]
Agrawal, Varun [1 ,2 ]
Rathore, Sachin [1 ]
Khan, K. L. A. [1 ]
机构：
[1] KIET Grp Inst, Dept Mech Engn, Ghaziabad 201206, India
[2] Natl Inst Technol, Calicut, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2022年 / 64卷
关键词：
Vertical Machining Centre (VMC); EN19 alloy steel; Taguchi?s Design of Experiments (DOE); Titanium nitride coated carbide end mill; Fuzzy matter element(FME); TOOL;
D O I：
10.1016/j.matpr.2022.03.713
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this research work, development of a multi response assessment technique was considered using Fuzzy matter element methodology for material removal rate(MRR) and surface roughness(SR) of milling on CNC Vertical Machining Set up. EN19 alloy steel was selected as work material for experimentation. Material removal rate (MRR) and surface roughness (SR) were investigated in milling operation after varying the level statistically of cutting speed, depth of cut and feed rate. Two types of milling cutters (titanium nitride coated carbide and solid carbide end mill) were selected to do the operation. Fuzzy matter element methodology was found to be successful to select the best tool for this experiment. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Innovative Technologies in Mechanical Engineering-2021.
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页码：1239 / 1243
页数：5
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