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Optimization and Analysis of Process Parameters in Micro-Drilling Using Response Surface Methodology
Author(s) -
Ranadhir R. Landge et al. Ranadhir R. Landge et al.
Publication year - 2017
Publication title -
international journal of mechanical and production engineering research and development
Language(s) - English
Resource type - Journals
eISSN - 2249-6890
pISSN - 2249-8001
DOI - 10.24247/ijmperddec201733
Subject(s) - response surface methodology , drilling , process (computing) , process optimization , computer science , materials science , process engineering , engineering , metallurgy , chemical engineering , machine learning , operating system
High precision and high spindle speed applications is one of the most significant factors in fundamental technologies in machining processes, which is of good productivity and quality. When the basic machining process, ‘drilling’ is performed below 1mm hole diameter, it is called, “Micro-Drilling”, which is the precision hole drilling process. This study deals with Response Surface Methodology approach in Micro-drilling machine for optimizing the material removal rate. Drilling is performed on Brass material with machining parameters as Feed, Speed, Machining time and Depth of hole. The experiments were conducted with Box-Behken Design method based on response surface design. Analysis of variance (ANOVA) was used to determine the effect of the parameters after getting the values of MRR. The interaction of their parameters was also considered to be important. Regression analysis was performed and for MRR, a Linear model was fitted. This was done considering the significant interactions and the parameters. Finally, optimization was performed using desirability approach and experiments for confirmation were conducted.

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