The Grey-Based Taguchi Method: Optimization of Milling of Mold Steel

被引：2
|
作者：
Basmaci, G. [1 ]
Ay, M. [2 ]
Etyemez, A. [3 ]
机构：
[1] Mehmet Akif Ersoy Univ, Fac Engn & Architecture, Merkez Burdur, Turkey
[2] Marmara Univ, Fac Technol, TR-34722 Istanbul, Turkey
[3] Nikket Turkiye, KucukyaliIs Merkezi, A Blok 5, TR-34852 Maltepe Istanbul, Turkey
来源：
ACTA PHYSICA POLONICA A | 2018年 / 134卷 / 01期
关键词：
STAINLESS-STEEL; MACHINING PARAMETERS; SURFACE-ROUGHNESS; TOOL PERFORMANCE; END; MACHINABILITY; WEAR; LIFE;
D O I：
10.12693/APhysPolA.134.24
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this study, surface roughness and cutting forces were experimentally investigated in a PMD 23 cold work tool steel milled with multi-layer Al2O3+TiCN coated cutting tools. The effects of progress rate, cutting speed and cutting depth on surface roughness and cutting forces were investigated. The Taguchi technique was used to optimize the milling process. With this study, optimal machinability of PMD 23 cold work tool steel with multi-layer Al2O3+TiCN coated tools was determined by Taguchi Grey based optimization technique. The optimum value is obtained by Taguchi based Grey relational analysis when the machining parameters are as follows: 500 mm/min feed, 3500 rpm spindle speed and 1.0 mm cutting depth (A1B3C2).
引用
收藏
页码：24 / 27
页数：4
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