OPTIMIZATION OF MACHINING PARAMETERS OF ELECTROCHEMICAL MACHIINING - A REVIEW
Rahul Bansal
M. E. scholar, Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, (NITTTR), Chandigar , IN
P. Sudhakar Rao
M. E. scholar, Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, (NITTTR), Chandigar , IN
Amritbir Singh
M. E. scholar, Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, (NITTTR), Chandigar , IN
Keywords: ECM, EMM, Taguchi, ANN, Grey Relational Analysis
Abstract
Electrochemical machining (ECM) is the most widely used advanced machining process which provides an economical and effective method for shaping high strength and high resisting materials into sophisticated shapes, such as turbine blades, hip-joint implants and micro-components. Influence of various process parameters such as applied voltage, electrolyte concentration, tool feed rate and electrolyte flow rate are optimized to improve the material removal rate and surface roughness. Electrochemical micromachining (EMM) is an advancement of ECM which is used for high precision machining in the order of microns. In the present work, reviews are conducted based on ECM and EMM experimental investigations. Various optimization tools like Taguchi, Response surface methodology (RSM), as well as prediction tools like artificial neural network (ANN), are also implemented.
How to Cite
References
NA