Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA

被引:83
作者
Gopalsamy, Bala Murugan [1 ]
Mondal, Biswanath [1 ]
Ghosh, Sukamal [2 ]
机构
[1] Cent Mech Engn Res Inst, Durgapur 713209, India
[2] Natl Inst Technol, Durgapur 713209, India
关键词
Grey relational analysis; Hard machining; End milling; SURFACE-ROUGHNESS; CUTTING PARAMETERS; TAGUCHI METHOD; TOOL WEAR; PERFORMANCE; STEEL; DESIGN; LIFE;
D O I
10.1007/s00170-009-2054-3
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 paper deals with experimental investigations carried out for machinability study of hardened steel and to obtain optimum process parameters by grey relational analysis. An orthogonal array, grey relations, grey relational coefficients and analysis of variance (ANOVA) are applied to study the performance characteristics of machining process parameters such as cutting speed, feed, depth of cut and width of cut with consideration of multiple responses, i.e. volume of material removed, surface finish, tool wear and tool life. Tool wear patterns are measured using optical microscope and analysed using scanning electron microscope and X-ray diffraction technique. Chipping and adhesion are main causes of wear. The optimum process parameters are calculated for rough machining and finish machining using grey theory and results are compared with ANOVA.
引用
收藏
页码:1068 / 1086
页数:19
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