Call For Paper Volume:5 Issue:10 Oct'2018 |

Taguchi-Grey Relational Based Multi-response Optimization of Machining Parameters in Turning Process of HcHCr D2

Publication Date : 02/02/2017


DOI : 10.21884/IJMTER.2017.4034.PPSJD

Author(s) :

PRERANA MANE , prerana mane , S.B.chikalthankar , V.M.Nandedkar.


Volume/Issue :
Volume 4
,
Issue 1
(02 - 2017)



Abstract :

Every day scientists are developing new materials and for each new material, we need economical and efficient machining. This work is based on an optimization of turning process by the effects of machining parameters applying Taguchi method and Grey Relational Analysis to improve the quality of manufactured goods, and engineering development of designs for studying variation. HcHCr D-2 steel is used as the work piece material, CNMG120408 insert for carrying out the experimentation to optimize the Surface roughness and Material Removal Rate. Grey relational analyses are applied to determine the suitable selection of machining parameter for turning process. The Grey theory can provide a solution of a system in which the model is unsure or the information is incomplete. Besides, it provides an efficient solution to the uncertainty, multi-input and discrete data problem. The main objective of this experimentation is to predict and determine the optimization of surface roughness and metal removal rate under spindle speed, feed and depth of cut.


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Taguchi-Grey Relational Based Multi-response Optimization of Machining Parameters in Turning Process of HcHCr D2

January 16, 2017