The proposed framework in this paper tries to explain that how to integrate the design of experiment (DOE) tools with the principal component analysis (PCA) and grey relational analysis (GRA) techniques, such that which gives the best optimal results for the multi-performance characteristics (MPC’S) i.e material removal rate (MRR) and surface roughness (SR) of powder mixed electrical discharge ...

Quality and productivity are two important aspects for manufacturing industries. Modeling and optimization is the best technique applied to find the best manufacturing conditions. This technique has been applied to investigate the optimized design of the cutting process in end milling for Al 6061 alloy in order to provide better surface finish as well as high Material Removal Rate (MRR). The cu...

In this study, a multi objective optimization for end milling of Al 6061 alloy has been presented to provide better surface quality and higher Material Removal Rate (MRR). The input parameters considered for the analysis are spindle speed, depth of cut and feed. The experiments were planned as per Taguchis design of experiment, with L27 orthogonal array. The Grey Relational Analysis (GRA) has b...

The present contribution describes an application of a hybrid approach using fuzzy logic and particle swarm optimization (PSO) for optimizing the process parameters in the electric discharge machining (EDM) of AISI 316LN Stainless Steel. In this study, each experimentation was performed under different machining conditions of pulse current, pulse on-time, and pulse off-time. Machining performan...

correct selection of manufacturing condition is one of the most important aspects which should be considered in the majority of manufacturing processes,  particularly in the process related to advanced machining process like electrical discharge machining. in electrical discharge machining (edm), dielectric fluid plays an important role since machining characteristics are greatly influenced by ...

The optimization of performance characteristics in turning process can be achieved through selection of proper machining parameters. It is well known that many researchers have successfully reported the optimization of single performance characteristic. Nevertheless, the multi-objective optimization can be difficult and challenging to be studied due to its complexity in analysis. This is becaus...

Abstract The aim of this study was to identify the optimal parameters for electrical discharge machining Ti6Al4V titanium alloy using copper tungsten electrodes with compositions 70% and 80%, respectively. experiment involved varying current, pulse on time, duty factor were determined Taguchi experimental method L-18 orthogonal arrays. level importance each parameter material removal rate (MRR)...

This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data. A...

Correct selection of manufacturing condition is one of the most important aspects which should be considered in the majority of manufacturing processes,  particularly in the process related to advanced machining process like electrical discharge machining. In electrical discharge machining (EDM), dielectric fluid plays an important role since machining characteristics are greatly influenced by ...

Metal matrix composites, in particular, Aluminium Matrix Composites are gaining increasing attention for applications in aerospace, defence and automobile industries. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated considerable interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) appear...