Modeling the Machining Parameters of Micro Wire Electrical Discharge Machining of AL 2024 T351

Abstract:

This paper presents modeling and analysis of machining characteristics of Micro Wire Electro Discharge Machining (Micro-WEDM) process on Aluminium alloy (AL 2024 T351) using the Response Surface Methodology (RSM) and Artificial Neural Network (ANN). The input variables of Micro-WEDM process were voltage, capacitance and feed rate. The surface roughness is considered as a response variable. Experiments were carried out on Aluminium alloy using Central Composite Design (CCD). The RSM and ANN models have been developed based on experimental designs for surface roughness. Analysis of variance (ANOVA) has been employed to test the significance of RSM model. It has been found out that all the three process parameters are significant and their interaction effects are also significant on the surface roughness. Finally predicted values were compared with both modeling methodologies RSM and ANN.

• Periodical: Applied Mechanics and Materials (Volume 367)
• Pages: 466-470
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.367.466
• Online since: August 2013
• Authors: Palani Sivaprakasam, P. Hariharan
• Keywords: ANOVA, Artificial Neural Network (ANN), Micro WEDM, Modeling, RSM

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