Parametric Optimization of Powder-Mixed EDM of AA2014/Si3N4/Mg/Cenosphere Hybrid Composites Using Fuzzy Logic: Analysis of Mechanical, Machining, Microstructural, and Morphological Characterizations

Author:

Rajkumar G.1,Saravanan M.2,Bejaxhin A. Bovas Herbert3ORCID,Sharma Shubham456ORCID,Dwivedi Shashi Prakash7,Kumar Rajeev8ORCID,Singh Sunpreet49ORCID

Affiliation:

1. Annai College of Engineering and Technology, Kumbakonam 612503, Tamil Nadu, India

2. Ponjesly College of Engineering, Parvathipuram, Nagercoil 629003, Tamil Nadu, India

3. Saveetha School of Engineering, SIMATS, Chennai 602105, Tamil Nadu, India

4. Department of Mechanical Engineering, University Centre for Research and Development (UCRD), Chandigarh University, Mohali 140413, Punjab, India

5. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China

6. Department of Mechanical Engineering, Lebanese American University, Kraytem 1102-2801, Beirut, Lebanon

7. Department of Mechanical Engineering, Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida 201306, Uttar Pradesh, India

8. School of Mechanical Engineering, Lovely Professional University, Phagwara 144411, Punjab, India

9. Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore

Abstract

This research focuses on a comprehensive exploration of the experimental and mechanical aspects of the electrical discharge machining (EDM) process, specifically targeting the machining characteristics of AA2014/Si3N4/Mg/cenosphere hybrid composites. The aim is to optimize the process parameters for enhanced machining performance through a combination of testing, optimization, and modelling methodologies. The study examines the effects of key EDM variables—peak current, pulse on time, and pulse off time—on critical output responses: surface roughness (Ra), electrode wear rate (EWR), and material removal rate (MRR). Leveraging an L9 Taguchi orthogonal array experimental design, the impact of controllable factors on these responses is analysed. An integrated approach utilizing MATLAB’s logic toolbox and Mamdani’s technique is employed to model the EDM process, and a multiple-response performance index is calculated using fuzzy logic theory, enabling multiobjective optimizations. Furthermore, a mechanical behaviour evaluation of AA2014/Si3N4/Mg/cenosphere hybrid composites is performed through mechanical testing, with a comparison between experimental machining results and predicted values. Scanning electron microscopy (SEM) images reveal the presence of filler reinforcements within the base alloy, displaying an improved microstructure and uniform reinforcement dispersion. An X-ray diffraction (XRD) analysis confirms the major elemental constituents—aluminium, silicon, and magnesium—in the hybrid composites. A microstructural analysis of the hybrid metal matrix composites (MMCs) prepared for EDM showcases closely packed reinforcement structures, circular ash-coloured spots indicating silicon and nitrates, and a fine dispersion of cenosphere reinforcement particles. The study’s outcomes demonstrate a promising application potential for these hybrid composites in various fields.

Publisher

MDPI AG

Subject

Engineering (miscellaneous),Ceramics and Composites

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