International Journal of Engineering Research

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Experimental Investigation and Analysis of Optimum Cutting Parameters for AISI1042 Using Grey-Taghuchi Analysis


Affiliations
1 Mechanical Engineering Department, Annamacharya Institute of Technology & Sciences, Rajampet, India
2 Geethanjali Institute of Science and Technology, Nellore, India
3 Mechanical Engg. Dept., SCSVMV University, Kanchipuram, India
4 Mechanical Engineering Department, AITS, Tirupati, India
 

The paper discussed about optimization of multicriteria problems that are used in turning operation. The theory of grey system is a new technique for performing prediction, relational analysis and decision making in multicriteria problems. Optimization of cutting parameters which are influencing on surface roughness, and MRR of AISI 1042 (EN 41B) work material using CVD coated tool is a multiobjective criteria. In the present investigation the influence of spindle speed, feed rate, and depth of cut were studied as process parameters. The experiments have been conducted using full factorial design in the design of experiments (DOE) on a conventional lathe (PSGA141). A Model has been developed using regression technique and the optimal cutting parameters for minimum surface roughness, and maximum MRR were obtained using Taguchi technique. The use of grey relation analysis for optimizing the cutting parameters for good surface finish and more material removal rate is introduced. Optimal machining parameters were determined by the grey relation grade obtained from the Grey relation analysis. Experimental results show that the Surface roughness and MRR in turning operation is improved effectively through the new approach.

Keywords

AISI No1042 Alloy Steel, CVD Tool, DOE, Taguchi Technique, Grey Relation Analysis.
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  • Experimental Investigation and Analysis of Optimum Cutting Parameters for AISI1042 Using Grey-Taghuchi Analysis

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Authors

A. Hemantha Kumar
Mechanical Engineering Department, Annamacharya Institute of Technology & Sciences, Rajampet, India
G. Subba Rao
Geethanjali Institute of Science and Technology, Nellore, India
T. Rajmohan
Mechanical Engg. Dept., SCSVMV University, Kanchipuram, India
G. Krishnaiah
Mechanical Engineering Department, AITS, Tirupati, India

Abstract


The paper discussed about optimization of multicriteria problems that are used in turning operation. The theory of grey system is a new technique for performing prediction, relational analysis and decision making in multicriteria problems. Optimization of cutting parameters which are influencing on surface roughness, and MRR of AISI 1042 (EN 41B) work material using CVD coated tool is a multiobjective criteria. In the present investigation the influence of spindle speed, feed rate, and depth of cut were studied as process parameters. The experiments have been conducted using full factorial design in the design of experiments (DOE) on a conventional lathe (PSGA141). A Model has been developed using regression technique and the optimal cutting parameters for minimum surface roughness, and maximum MRR were obtained using Taguchi technique. The use of grey relation analysis for optimizing the cutting parameters for good surface finish and more material removal rate is introduced. Optimal machining parameters were determined by the grey relation grade obtained from the Grey relation analysis. Experimental results show that the Surface roughness and MRR in turning operation is improved effectively through the new approach.

Keywords


AISI No1042 Alloy Steel, CVD Tool, DOE, Taguchi Technique, Grey Relation Analysis.