Optimizing the Turning Operation via Using the Grey Relational Grade

被引：0
|
作者：
Al-Durgham, Lamees [1 ]
Alalaween, Wafa' H. [1 ]
Albashabsheh, Nibal T. [1 ]
机构：
[1] Univ Jordan, Ind Engn Dept, Amman, Jordan
来源：
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND ROBOTICS RESEARCH | 2022年 / 11卷 / 06期
关键词：
grey relational analysis; Taguchi; turning process; surface roughness; cutting force; SURFACE-ROUGHNESS; MACHINING PARAMETERS; TAGUCHI METHOD; CUTTING FORCE; OPTIMIZATION; DRY;
D O I：
10.18178/ijmerr.11.6.452-459
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The turning process is considered to be one of the most important machining processes. The various combinations of the input parameters can indeed determine the fate of the quality of the produced parts. This study aims to investigate the effect of various combinations of the input parameters on the surface roughness and the force required in order to elicit the optimal set. An L18 orthogonal array has been constructed using the JMP software for four input variables (i.e. the use of lubricant, cutting speed, depth of cut, and feed rate). Grey relational analysis has been utilized to identify the optimal set of the investigated inputs, which leads to the optimal machining characteristics (i.e. surface roughness and cutting force).
引用
收藏
页码：452 / 459
页数：8
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