Multiple performance optimization of electrochemical drilling of Inconel 625 using Taguchi based Grey Relational Analysis

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ID: 54273
2017
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Abstract
In this present investigation, a multi performance characteristics optimization based on Taguchi approach with Grey Relational Analysis (GRA) is proposed for Electrochemical Drilling process on Inconel 625 material which is used for marine, nuclear, aerospace applications, especially in corrosive environments. Experimental runs have been planned as per Taguchi’s principle with three input machining variables such as feed rate, flow rate of electrolyte and concentration of electrolyte. Besides the material removal rate and surface roughness, the geometric measures such as overcut, form and orientation tolerance are included as performance measures in this investigation. Outcomes of the analysis show that the feed rate is the predominant variable for the desired performance characteristics. On establishing the desired performance measures and multiple regression models are developed to be used as predictive tools. The confirmation test also conducted to validate the results attained by GRA approach and affirmed that there is considerable improvement with the help of proposed approach.
Reference Key
manikandan2017multipleengineering Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Manikandan, N.;Kumanan, S.;Sathiyanarayanan, C.;
Journal engineering science and technology, an international journal
Year 2017
DOI
DOI not found
URL
http://www.sciencedirect.com/science/article/pii/S221509861630564X
Keywords
chemistry Materials of engineering and construction. Mechanics of materials Engineering (General). Civil engineering (General) Industrial electrochemistry Mechanical engineering and machinery chemical engineering motor vehicles. aeronautics. astronautics computer engineering. computer hardware mechanics of engineering. applied mechanics

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