Mathematical Modelling of Response Parameters During Ultrasonic Assisted Electro-Discharge Machining Process

Mathematical Modelling of Response Parameters During Ultrasonic Assisted Electro-Discharge Machining Process

  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-5
Year of Publication : 2023
Author : Atish Mane, Pradeep.V.Jadhav, Shankar Kadam, Jyoti Dhanke, Prashant Kadam, Amruta Pasarkar
DOI : 10.14445/22315381/IJETT-V71I5P218

How to Cite?

Atish Mane, Pradeep.V.Jadhav, Shankar Kadam, Jyoti Dhanke, Prashant Kadam, Amruta Pasarkar, "Mathematical Modelling of Response Parameters During Ultrasonic Assisted Electro-Discharge Machining Process," International Journal of Engineering Trends and Technology, vol. 71, no. 5, pp. 175-181, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I5P218

Abstract
Choosing the optimum production conditions is one of the most important aspects of the Electric Discharge Machining operation because they affect critical variables such as roughness and rate of metal removal. Because this advanced material presents manufacturing issues if formed by standard methods, machining of Ni-Ti alloys is often attempted utilizing unconventional techniques for manufacturing, particularly EDM. In this work, shape memory alloy (NiTi) with ultrasonic vibration was used in the experiment. The work explains an effort to apply a low-frequency vibration on a shape memory alloy (NiTi) workpiece during the EDM process. Electrolytic copper tools on a die-sink discharge machine are utilized in the experiment to perform EDM on NiTi alloy. In the current work, a model for roughness and rate of metal removal during ultrasonic-aided electro-discharge machining (USA-EDM) of NiTi shape memory alloy using Buckingham’s Pi-theorem has been attempted. The test finding shows that altering key dimensionless π parameters had a considerable impact on the values of roughness (SR) and rate of metal removal. Roughness (SR) and rate of metal removal (MRR) values predicted by the model created using Buckingham pi theorem and dimensions analysis are close to experimental findings.

Keywords
Ultrasonic Assisted Electro-Discharge Machine (USA-EDM), Roughness (SR), Rate of Metal Removal (MRR), Shape Memory Alloy (NiTi), Buckingham pi Theorem.

References
[1] K.M Patel, Pulak M. Pandey, and P. Vnkateswara Rao, “Optimization of Process Parameters for Multi-Performance Characteristics in EDM of AL2O3 Ceramic Composite,” International Journal of Advanced Manufacturing Technology, vol. 47, pp. 1137-1147, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Azizul Bin Mohamad et al., “Optimization of EDM Process Parameters Using Taguchi Method,” International Conference on Applications and Design in Mechanical Engineering, 2012.
[Publisher Link]
[3] Rahul Reddy Sandi, Chanikya Anasuri, and Dr. Shyam Kumar. S., "Cutting Tool Selection - Geometry, Workpiece, Tool Material: A Simulated, Library-Based Interactive Approach," SSRG International Journal of Mechanical Engineering, vol. 8, no. 11, pp. 18-30, 2021.
[CrossRef] [Publisher Link]
[4] E. Aliakbari, and H. Baseri, “Optimization of Machining Parameters in Rotary EDM Process by Using the Taguchi Method,” The International Journal of Advanced Manufacturing Technology, vol. 62, pp. 1041-1053, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[5] M. Dhanenthiran, "An Investigation of the Effect of Process Parameters in Turning Operation on Cast Iron," SSRG International Journal of Mechanical Engineering, vol. 3, no. 2, pp. 6-9, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Bala Murugan Gopalsamy, Biswanath Mondal, and Sukamal Ghosh, “Optimization of Machining Parameters for Hard Machining: Grey Relational Theory Approach and ANOVA,” The International Journal of Advanced Manufacturing Technology, vol. 45, pp. 1068–1086, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Ade Erawan Minhat et al., “Model of Pulsed Electrical Discharge Machining (EDM) using RL Circuit," International Journal of Power Electronics and Drive Systems, vol. 5, no. 2, pp. 252-260, 2014.
[Google Scholar] [Publisher Link]
[8] G.T. Suriyaprabakaran, M. Kavin, and R. Govindaraj, "Analyzing The Effect of Machining Parameters For Titanium (Grade 5) Alloy," SSRG International Journal of Material Science and Engineering, vol. 6, no. 2, pp. 9-22, 2020.
[CrossRef] [Publisher Link]
[9] PS Bains, SS Sidhu, and HS Payal, “Semi Empirical Modeling of Magnetic Field Assisted ED Machining of Metal Matrix Composites,” Proceedings of the American Society for Composites, 2016.
[Google Scholar] [Publisher Link]
[10] Ravindranadh Bobbili, V. Madhu, and A.K. Gogia, “Modeling and Analysis of Material Removal Rate and Surface Roughness in Wire-Cut EDM of Armour Materials,” Engineering Science and Technology, An International Journal, vol. 18, no. 4, pp. 664-668, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[11] G. Arulmurugan et al., "Improving Machining Performance of ECM by Different Tool Geometry," SSRG International Journal of Mechanical Engineering, vol. 7, no. 6, pp. 13-19, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] B Kishan et al., “Development of a Mathematical Model for Metal Removal Rate on EDM Using Copper & Brass Electrodes,” Materials Today: Proceedings, vol. 5, no. 2, pp. 4345–4352, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Nguyen Huu Phan et al., "Effects of Low-Frequency Vibration Integrated with Workpiece on Quality Indicators in Wire Electrical Discharge Machining," SSRG International Journal of Mechanical Engineering, vol. 7, no. 9, pp. 15-19, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] V. Vikram Reddy et al., “Mathematical Modeling of Process Parameters on Material Removal Rate in EDM of EN31steel Using RSM Approach,” International Journal of Research and Innovations in Science and Technology, pp. 49-53, 2014.
[Google Scholar] [Publisher Link]
[15] Pankaj Dumka et al., "Modelling of Hardy Cross Method for Pipe Networks," SSRG International Journal of Mechanical Engineering, vol. 10, no. 2, pp. 1-8, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Sushil Kumar Choudhary, and Dr. R.S Jadoun, “Current Advanced Research Development of Electric Discharge Machining (EDM): A Review,” International Journal of Research in Advent Technology, vol. 2, no. 3, pp. 273-297, 2014.
[Google Scholar] [Publisher Link]
[17] A. Rajeshkumar, and Dr.S. Venkatesan, "Review Parameters of Electrochemical Machining for 410b Stainless Steel," SSRG International Journal of Mechanical Engineering, vol. 6, no. 1, pp. 1-6, 2019.
[CrossRef] [Publisher Link]
[18] B Kishan et al., “Development of Mathematical Model for Metal Removal Rate on EDM Using Copper & Brass Electrodes,” Materials Today: Proceedings, vol. 5, no. 2, pp. 4345–4352, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[19] B. Naga Raju et al., "Optimization of Machining Parameters for Cutting AMMC’s on Wire Cut EDM using RSM," International Journal of Engineering Trends and Technology, vol. 23, no. 2, pp. 82-89, 2015.
[Publisher Link]
[20] Kuwar Mausam, “Response Parameter Optimization for Micro EDM under Influence of Cu Nano Powder for Taitanium Matrix Composite (Tmcs)," International Journal of Engineering Trends and Technology, vol. 68, no. 9, pp. 64-70, 2020.
[Publisher Link]