1. Machining and optimization of process parameters for titanium alloy in wedm using ann
Authors : Dr. A.baraniraj, P. Gunasekaran
Pages : 14-25
DOI : http://dx.doi.org/10.21172/1.171.03
Keywords : WEDM, Material Removal Rate , Surface Roughness, NNTOOL, MATLAB, TITANIUM. Abstract :Wire-Cut Electrical Discharge Machining (WEDM) is an electric and thermal process to do that machining parts with various hardness, toughness and complicate shapes. Metal removal is a WEDM conductive material disintegration because of flash release between tool station and work piece, deep in a fluid electric medium and electrical current. The information procedure parameters considered are pulse on time, pulse off time, and wire feed rate with yield estimated and decided as MRR, SR and Micro structure analysis. Each investigation has been performed by the under various cutting states of titanium grade-2 material into operating molybdenum wire. To simplify the WEDM machining process parameters neural system (ANN) apparatus was chosen in MATLAB is evaluate the best cutting input process parameter is optimized. This is significant because three level of input process parameters to L27 experimental data to get better machining parameter in WEDM. The NNTOOL procedure is a using to optimize for the in this process of training neural network method to get in best validation neural network, performance and regression value (above 0.92). The SEM test also using to get in better input process parameter.
Citing this Journal Article :Dr. A.baraniraj, P. Gunasekaran, "Machining and optimization of process parameters for titanium alloy in wedm using ann", Volume 17 Issue 1 - July 2020, 14-25
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