Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool

被引：24
作者：
Xiao, Zeqing [1 ]
Liao, Xiaoping [2 ]
Long, Zhenhong [2 ]
Li, Ming [2 ]
机构：
[1] Guangxi Univ, Inst Light Ind & Food Engn, 100 Daxue Rd, Nanning 530004, Guangxi, Peoples R China
[2] Guangxi Univ, Inst Engn Mech, 100 Daxue Rd, Nanning 530004, Guangxi, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2017年 / 93卷 / 1-4期
关键词：
Surface roughness; Orthogonal array; Regression model; ANOVA; Response surface; Optimization; TAGUCHI METHOD; CBN TOOL; OPTIMIZATION; DESIGN; FINISH; FORCE; MODEL;
D O I：
10.1007/s00170-016-8933-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The present work studies the effect of three variables (spindle speed, feed rate, and depth of cut) towards surface roughness by adopting orthogonal design and surrogate model. Experiment in hard turning of AISI 1045 steel with YT5 tool were carried out. The analysis of variance (ANOVA) and the regression model suggest that the feed rate has great effect on the surface roughness compared to the other two variables. The contour plot and the surface plot based on the regression model show the correlation between the response (surface roughness) and all possible pairwise combinations of the three variables. In order to get the desired surface roughness, the optimum cutting parameters are obtained by developing an optimization method.
引用
收藏
页码：273 / 282
页数：10
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