Issue |
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
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Article Number | 01030 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202455201030 | |
Published online | 23 July 2024 |
Investigation & Optimization of WEDM Process Parameters using Inconel 690
1 Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India.
2 Department of Mechanical Engineering Mohan Babu University, Tirupati, Andhra Pradesh, India
3 KG Reddy College of Engineering & Technology, Hyderabad, Telangana, India.
4 Department of Refrigeration and air Conditioning Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq.
* Corresponding Author: sivanagaraju.griet@gmail.com
Wire Electrical Discharge Machining (WEDM) represents a pivotal process in the fabrication of high-strength materials such as Ni-based alloys, which find extensive application in aerospace and nuclear industries. In this study, the machining parameters have been considered as Spark on time (Ton), wire-speed (WS), Servo Sensitivity (FR), and gap voltage (GV). The machining performance on Inconel 690 has been identified with the help of Cutting speed (CS) and average Surface roughness (SR) through WEDM using Molybdenum (Mo) wire. Taguchi’s philosophy has been considered in designing the experiments. The performance characteristics were analysed using a main effect plot and Analysis of Variance (ANOVA). The most significant parameter has been observed as Ton. Furthermore, a hybrid optimization technique has been employed using ANN coupled with MOJAYA to obtain the optimum machining parameters. The confirmation tests have been conducted has maximum percentage of error has been found as 7.88%. The said hybrid techniques was provided optimisation results within 4.65 seconds and identified as suitable techniques for optimisation results for Inconel-690
Key words: ANN / Cutting speed / Inconel-690 / MOJAYA / WEDM
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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