Assessment of Factor Influencing Surface Roughness and Tool Wear on the Machining of Austenitic Stainless Steel Grade 304

Author(s):

B. Adhichelvan , KINGS COLLEGE OF ENGINEERING

Keywords:

Stainless steel, Optimization, DOE, ANOVA, Machining parameters

Abstract:

Stainless steel are iron based alloys containing a minimum of about 12% chromium, this forms a protective self-healing oxide film. The ability of the oxide layer to heal itself means that the steel is corrosion resistance. The austenitic stainless steel contains 16% of the chromium and 6% of the nickel and range through to the high alloy or super austenitic. Additional elements can be added such as molybdenum, titanium or copper, to modify or improve their properties, making them suitable for many critical applications involving high temperature as well as corrosion resistance. The present work focuses on finding the optimal machining parameters setting for machining of Stainless steel grade 304. To achieve better surface finish and tool wear under dry machining conditions using coated carbide tool. Tool wear and the surface roughness was analyzed for various cutting conditions. Taguchi based statistical approach is employed to investigate the relationship between various machining parameters and their response. By applying ANOVA and mathematical model, the response factors are modelled in terms of input machining parameters. The developed model describes the interaction i.e. either single/multiple parameters of various input parameters with respect to response factors. Statistical approach has been proven to be a very powerful tool for solving optimization problems in industrial manufacturing conditions.

Other Details:

Manuscript Id	:	IJSTEV4I5052
Published in	:	Volume : 4, Issue : 5
Publication Date	:	01/12/2017
Page(s)	:	126-129

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