Mathematical Modelling of Response Parameters During Ultrasonic Assisted Electro-Discharge Machining Process
Mathematical Modelling of Response Parameters During Ultrasonic Assisted Electro-Discharge Machining Process |
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© 2023 by IJETT Journal | ||
Volume-71 Issue-5 |
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Year of Publication : 2023 | ||
Author : Atish Mane, Pradeep.V.Jadhav, Shankar Kadam, Jyoti Dhanke, Prashant Kadam, Amruta Pasarkar |
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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.
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