Optimization of bone drilling parameters using grey-based fuzzy algorithm

被引：89

作者：

Pandey, Rupesh Kumar ^{[1
]}

Panda, S. S. ^{[1
]}

机构：

[1] Indian Inst Technol Patna, Dept Mech Engn, Patna 800013, Bihar, India

来源：

MEASUREMENT | 2014年 / 47卷

关键词：

Grey relational analysis (GRA); Fuzzy logic; Optimization; Multiple performance characteristics; Bone drilling; Analysis of variance (ANOVA); TAGUCHI METHOD; LOGIC;

D O I：

10.1016/j.measurement.2013.09.007

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this article a modified algorithm (grey based fuzzy algorithm) is used to optimize multiple performance characteristics in drilling of bone. Experiments have been performed with different cutting conditions using full factorial design. The quality parameters considered are temperature, force and surface roughness. Grey relational analysis (GRA) coupled with fuzzy logic is employed to obtain a grey fuzzy reasoning grade (GFRG) combining all the quality characteristics. The highest GFRG is obtained for the feed rate of 40 mm/min and the speed of 500 rpm and is the optimal level. Analysis of variance (ANOVA) carried out to find the significance of parameters on multiple performance characteristics revealed that the feed rate has the highest contribution on GFRG followed by the spindle speed. The optimum level of the process parameters obtained is validated by the confirmation experiment. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：386 / 392

页数：7

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