Optimization Of Machining Parameters In Machining Nimonic C-263 By WEDM Process

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Authors

  • K. Satish
     ,IN
  • V. R. Srinivasan
     ,IN
  • C. P. S. Prakash
     ,IN

DOI:

https://doi.org/10.18311/jmmf/2022/30667

Keywords:

Nimonic C-263, WEDM, MINITAB, ANOVA, SN ratios.

Abstract

This paper discusses an experimental work carried out to optimize the machining parameters in machining Nimonic C263 by WEDM. Nimonic 263 is used as the workpiece material. Machining is performed with CNC wire cut electric discharge machine. Deionized water is used as dielectric fluid and molybdenum wire of diameter 0.18mm is used as the wire electrode material. Input parameters considered in this project work are pulse ON time (tonne), pulse OFF time (Toff), peak current (Ip) and voltage (V). Cycle time is considered as the output parameter. Robust design study is carried out to perform design of experiments from identifying the main factors, their levels and noise factors to predict the performance under these levels. 27 machined pieces are performed based on different set of levels for different factors. DK 7735 machine is used to perform machining process. After calculating the time, results are fed into the MINITAB 17 software to obtain optimized combination of levels of different factors from Taguchi’s analysis and signal to noise ratio response table. ANOVA table is used to calculate the influence of each input parameters on output results. To validate the simulation, the predicted results are compared to experimental results. Optimum combinations of levels are substituted in the mathematical equation in order to obtain the predicted result.

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Published

2022-07-12

How to Cite

Satish, K., Srinivasan, V. R., & Prakash, C. P. S. (2022). Optimization Of Machining Parameters In Machining Nimonic C-263 By WEDM Process. Journal of Mines, Metals and Fuels, 70(3A), 46–51. https://doi.org/10.18311/jmmf/2022/30667

Issue

Volume 70, Issue 3A, March 2022

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC
Received 2022-07-12
Accepted 2022-07-12
Published 2022-07-12

 

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