Tool Wear Rate Prediction by using Optimization Techniques
Senthil Kumaran S1, Kathiravan Srinivasan2, Velmurugan P3, Srinivasan N4
1Senthil Kumaran S*, Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
2Kathiravan Srinivasan, Department of Information Technology, School of Information Technology and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
3Velmurugan.P Department of Mechanical engineering, School of mechanical and automotive Egineering, College of engineering and Technology, Dilla university, Ethioipia.
4Srinivasan N Department of Manufacturing Engineering School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Manuscript received on November 14, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 1271-1277 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6416129219/2019©BEIESP | DOI: 10.35940/ijitee.B6416.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Electro discharge machining is a non-traditional machining process used for machining hard-to-machine materials, such as various grades of titanium alloys, heat-treated alloy steels, composites, tungsten carbides, and so forth. These materials are hard to machine with customary machining procedures like drilling, milling and hence electro-discharge machining is used to machine such materials to get better quality and efficiency. These materials are generally utilized in current industries like die making industries, aeronautics, nuclear industries, and medical fields. This type of machining is thermalbased, and machining takes place due to repetitive electric sparks that generate between workpiece and tool. Both tools and workpieces are inundated in a dielectric liquid, which has two primary functions. In the first place, it behaves like a medium between the work metal and the tool. Second, it is a flushing agent to expel the machined metal from the machined zone. Machining parameters like a pulse on time, current, wire feed the tool and gap voltage affect the output responses like surface roughness and material removal rate. The material removal rate is a significant parameter that determines machining efficiency. Surface roughness is also a vital parameter that decides machining quality. A lot of research has been conducted to determine the optimum parameters for obtaining the best results. In the present work, a comprehensive review of different types of EDM and the effect of various machining parameters on the surface roughness, material removal rate, and other response parameters has been done.
Keywords: Machining Quality, TWR, Surface Roughness, Parameter Optimization, Material Removal Rate
Scope of the Article: Design Optimization of Structures