Abstract
The present paper deals the application of Taguchi method with grey relational analysis to optimize the machining parameters with multiple responses in electrochemical machining (ECM) of Al/B4C metal matrix composites. Experiments were conducted on a Metatech ECM setup and L27 orthogonal array was chosen for the experiments. The electrochemical machining parameters namely applied voltage, feed rate, electrolyte concentration and reinforcement content were optimized based on multiple responses, i.e. material removal rate, surface roughness and radial over cut. The morphology of the machined surfaces was studied with scanning electron micrographs. The optimum machining parameters are calculated by using grey theory and results are compared with ANOVA. The results show that the feed rate and electrolyte concentration are the most significant parameters which affect the multiple machining responses simultaneously. Experimental results show that the responses in ECM can be improved effectively through this approach.
©[2013] by Walter de Gruyter Berlin Boston
Articles in the same Issue
- Masthead
- Optimization of Machining Parameters in ECM of Al/B4C Composites
- New CNC Programming Functions Based on Elliptical Motion
- Pragmatic Approach for Assembly Lines Selection Based on Discrete-Event Simulation
- Manufacturing Dies for Micro and Meso Direct Extrusion Processes
- A Study on Dimensional Accuracy of Fused Deposition Modeling (FDM) Processed Parts using Fuzzy Logic
- Optimization of Correlated Quality Characteristics in WEDM Process using Taguchi Approach Coupled with Principal Component Analysis
- A Review on Hard Turning by using Design of Experiments
Articles in the same Issue
- Masthead
- Optimization of Machining Parameters in ECM of Al/B4C Composites
- New CNC Programming Functions Based on Elliptical Motion
- Pragmatic Approach for Assembly Lines Selection Based on Discrete-Event Simulation
- Manufacturing Dies for Micro and Meso Direct Extrusion Processes
- A Study on Dimensional Accuracy of Fused Deposition Modeling (FDM) Processed Parts using Fuzzy Logic
- Optimization of Correlated Quality Characteristics in WEDM Process using Taguchi Approach Coupled with Principal Component Analysis
- A Review on Hard Turning by using Design of Experiments