9 and further these results have been computed through simulation using neural networks, i.e., Adaptive Neuro Fuzzy Interface System (ANFIS). The results suggest an error up-to 3.1% and it can be helpful to predict values within the experimental range and extrapolate the trends and in-between values.

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Experimental and Simulation Studies in Fabricating Micro-Holes Using Electro Chemical Discharge Machining Process

C. S. Jawalkar *
* Associate Professor, Department of Production and Industrial Engineering, Punjab Engineering College, Chandigarh, India.
Periodicity:July - September'2018
DOI : https://doi.org/10.26634/jms.6.2.14328

Abstract

This paper presents the study and analysis of data obtained through ECDM (Electro Chemical Discharge Machining) process. In the last few decades, it has been evidenced that design of experiment techniques have become more popular and a remarkable achievement on this has been accredited to Dr. Genechi Taguchi for his advent of these techniques providing the researchers with a valuable tool to use for all purposes according to the needs of the experimenter. The paper describes a case study on Electro chemical discharge machining process, used in machining fine micro-holes on borosilicate glass slides. The results of these experiments related to material removal have been analyzed using design of experiments technique, using the standard orthogonal array L9 and further these results have been computed through simulation using neural networks, i.e., Adaptive Neuro Fuzzy Interface System (ANFIS). The results suggest an error up-to 3.1% and it can be helpful to predict values within the experimental range and extrapolate the trends and in-between values.

Keywords

Data analysis, Fuzzy Neural Networks, Design of Experiments, ECDM

How to Cite this Article?

Jawalkar, C. S. (2018). Experimental and Simulation Studies in Fabricating Micro-Holes Using Electro Chemical Discharge Machining Process. i-manager’s Journal on Material Science, 6(2), 49-54. https://doi.org/10.26634/jms.6.2.14328

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