Optimization of MRR on ECM Using Taguchi Method
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 11
Abstract
Non-conventional machining has grown out as the need to machine different engineering materials, composites and ceramics having good mechanical properties and thermal properties as well as better electrical conductivity. The work has been carried out on mild steel specimen having good thermal and electrical conductive properties. The work on output parameters like as Material Removal Rate (MRR) and Surface Roughness (SR) of stainless steel as a work piece material. Respect on the selection of input parameters of ECM such as Voltage, Electrolyte Concentration and feed rate are suitable for improving the productivity and other output parameters. This work formulates the relationship between input and output variables for improving the ECM operation. The Regression analysis is used for making the relationship between independent and dependent variables. Our main objective is to determine the optimal value of the process parameter commonly used in the ECM process which is Voltage, Electrolyte Concentration and Feed Rate so as to improve the output parameter such as Material Removal Rate and Surface Roughness by Minitab Taguchi optimization technique method.
Authors and Affiliations
Viveka Nand, Meeraj Ahmad, Dwivesh Kumar Dubey, Dibya Tripathi, Sourabh Rai
Keywords
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- EP ID EP22789
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