An Experimental Investigation to Optimize Multi-Response Characteristics of Ni-Hard Material Using Hot Machining

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Abstract:

The flank wear and cutting power in the hot turning of Ni-Hard nickel based alloy by carbide tool was investigated in terms of cutting parameters such as cutting speed, feed rate, depth of cut and preheating temperature. Here, the Grey relational based Taguchi optimization method has carried out for optimizing the flank wear and power as output responses. Grey relational grade is obtained by Grey Relational Analysis (GRA) method and by this value the optimum setting parameter has been recognized. The experimental results show that the cutting speed is the most dominant variable and preheating temperature is the least parameter influence the responses.

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16-23

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April 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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