Modeling and Spark Erosion Drilling Process Optimization of Inconel 718 Using RSM Technique

Author:

Kumar Rajeev1,Chattopadhyaya Somnath1,Singh G. K.2,Vates Umesh Kumar2

Affiliation:

1. Department of Mechanical Engineering, IIT (ISM) Dhanbad, Jharkhand-826004, India

2. Mechanical Engineering, Amity University Uttar Pradesh, Noida, U.P-201306, India

Abstract

Electrical discharge machining with rotary tool is known as electric discharge drilling (EDD) which is being widely used for machining the difficult-to-cut materials like super alloy, ceramics and composite materials. Present research work has been introduced to find the impact of four influencing input factors discharge current (C), pulse off time ([Formula: see text]), pulse-on time ([Formula: see text]) and drill speed (S) on the response, tool wear rate (TWR), metal removal rate (MRR) and Centre line average value of surface roughness (Ra). The spark erosion drilling was performed on the Inconel 718 with rotating copper electrode. The major performances characteristics material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR) are to be evaluated with consultation of Response Surface Methodology (RSM) techniques. The central composite rotatable design (CCRD) has been reported to plan the experimental design and developing the model for prediction of data within the range of investigation. ANOVA test was also carried out to check the adequacy for development of models. It has been evaluated that discharge current, [Formula: see text], and [Formula: see text] have been found as most significant factors that effects on the performance measures. The models have 86.02, 84.29, and 83.15% values of correlation coefficient (R2) for MRR, TWR and Ra whereas the adjusted R2 (R2 adj) are 73.80%, 70.55%, and 68.41% for MRR, TWR and SR, respectively.

Publisher

World Scientific Pub Co Pte Lt

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications

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1. Statistical and Intelligent Techniques for Modeling and Optimization of Duplex Turning for Aerospace Material;Journal of Advanced Manufacturing Systems;2021-03-24

2. Multiple Machining Performance Optimization in Drilling of MWCNT/Epoxy Nanocomposites Using TOPSIS and Grey Theory;Journal of Advanced Manufacturing Systems;2021-03-19

3. Multi-objective optimization of drilling EDM process parameters of LM13 Al alloy–10ZrB2–5TiC hybrid composite using RSM;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2020-07-27

4. WEDM microdrilling of 316 L stainless steel orthopedic implant;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2020-06-23

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