PREDICTION MODELS FOR WEDM THROUGH RESPONSE SURFACE METHODOLOGY (RSM)

Authors

  • Srinivas K Department of Mechanical Engineering, J.B. Institute of Engineering & Technology (Autonomous), Hyderabad.
  • Gopala Krishna G Department of Mechanical Engineering, J.B. Institute of Engineering & Technology (Autonomous), Hyderabad.

Keywords:

Wire cut EDM, Response Surface Methodology, ANOVA

Abstract

The hot working applications like pressure die casting tools require many characteristics such as high hardenability, toughness and wear resistance. All these requirements are perfectly fulfilled by H-13 hot die tool steel material. Generally H-13 hot die tool steel cannot be machined using traditional machining process due to its high hardness and strength. It can be machined only by advanced machining processes. In this paper Wire-cut Electric Discharge Machining (WEDM) of H- 13 hot die tool steel is considered for the study. Pulse duration, pulse frequency and wire speed are considered as parameters and their effect on performance measures i.e. metal removal rate (MRR), kerf (K), and surface roughness studied through experimental investigation. Using Response Surface Methodology, considered parameters are optimized for maximum MRR and minimum for kerf and Surface roughness. These parameters are adjusted to improve the performance of WEDM. Analysis o Variance (ANOVA) and F-Test are carried out for the error evaluation. It is found that errors are within limits. Finally Response Surface Methodology is applied to generate a mathematical model for MRR, Surface Roughness, Kerf.

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References

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Yu Huang et al. (2013), “Optimization of cutting conditions of YG15 on rough and finish cutting in WEDM based on statistical analysis”, The International Journal of Advanced Manufacturing Technology, Vol.69(5-8), 993- 1008.

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Published

2017-09-01

How to Cite

[1]
“PREDICTION MODELS FOR WEDM THROUGH RESPONSE SURFACE METHODOLOGY (RSM)”, JME, vol. 12, no. 3, pp. 160–165, Sep. 2017, Accessed: Dec. 23, 2024. [Online]. Available: https://smenec.org/index.php/1/article/view/160

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