Multi Response Optimization of Process Parameters Using Grey Relational Analysis for Turning of Al-6061

Al-6061 is one among the most useful material used in manufacturing of products. The major qualities of Aluminium are reasonably good strength, corrosion resistance and thermal conductivity. These qualities have made it a suitable material for various applications. While manufacturing these products...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2017-08, Vol.225 (1), p.12092
Main Authors: Deepak, Doreswamy, Beedu, Rajendra
Format: Article
Language:English
Subjects:
Al-6061
Aluminum base alloys
ANOVA
Corrosion products
Corrosion resistance
Cutting speed
Feed rate
Grey relation analysis
Material removal rate (machining)
MRR
Optimization
Process parameters
Production costs
Spindle speed
Surface finish
Surface roughness
Thermal conductivity
Thermal resistance
Turning (machining)
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Summary:Al-6061 is one among the most useful material used in manufacturing of products. The major qualities of Aluminium are reasonably good strength, corrosion resistance and thermal conductivity. These qualities have made it a suitable material for various applications. While manufacturing these products, companies strive for reducing the production cost by increasing Material Removal Rate (MRR). Meanwhile, the quality of surface need to be ensured at an acceptable value. This paper aims at bringing a compromise between high MRR and low surface roughness requirement by applying Grey Relational Analysis (GRA). This article presents the selection of controllable parameters like longitudinal feed, cutting speed and depth of cut to arrive at optimum values of MRR and surface roughness (Ra). The process parameters for experiments were selected based on Taguchi's L9 array with two replications. Grey relation analysis being most suited method for multi response optimization, the same is adopted for the optimization. The result shows that feed rate is the most significant factor that influences MRR and Surface finish.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/225/1/012092