Multi Response Optimization Of Edm Process Parameters For Inconel X-750 Using Moora

Shaik Khadar Basha (), M.V. Jagannadha Raju, M.V. Jagannadha Raju and Murahari Kolli
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Shaik Khadar Basha: Research Scholar, Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India-522502
M.V. Jagannadha Raju: Department of Mechanical Engineering, Andhra University, Visakhapatnam Andhra Pradesh, India-522502
M.V. Jagannadha Raju: Department of Mechanical Engineering, Andhra University, Visakhapatnam Andhra Pradesh, India-522502
Murahari Kolli: Department of Mechanical Engineering, Lakkireddy Bali Reddy College of Engineering, Andhra Pradesh, India-521230

Journal of Mechanical Engineering Research & Developments (JMERD), 2019, vol. 42, issue 1, 30-40

Abstract: Electrical discharge machining (EDM) is used extensively to machine hard to cut materials like nickel, titanium and super alloys with higher dimensional accuracy and surface finish. In this present study, a multi response optimization on the basis of ratio analysis (MOORA) is proposed for finding optimum process parameter of Electrical Discharge machining (EDM) during machining of Inconel X-750 material which is used mostly in thermal erosion process like nuclear plants, aerospace industry. In this study, response surface methodology (RSM) with Box-Behnken approach has been utilized for selecting the appropriate process parameters by using three level four factor (discharge current (Ip), voltage (V), pulse on time (Ton) and pulse off time (Toff)) using tungsten copper electrode (W-Cu). The machining responses considered are material removal rate (MRR), surface roughness (SR) and tool wear rate (TWR). The satisfactoriness of developed mathematical model has been tested with the use of analysis of variance (ANOVA). Further mathematical equations are generated using the statistical software MINITAB 17. The experimental data used for adequate regression model to optimize the process using MOORA. Further the surface characteristics of the machined surface are identified using scanning electron microscope (SEM) and elements with their peak values are revealed with EDX analysis.

Keywords: Al6063 alloy; B4C reinforcements; Stir casting; Mechanical behaviour (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:42:y:2019:i:2:p:30-40

DOI: 10.26480/jmerd.02.2019.30.40

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