Intelligent machining parameters selection for high speed finish turning of Inconel 718

Authors

  • J. S. Senthilkumaar Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle
  • P. Selvarani Department of Mechanical Engineering, Government Polytechnic College, Dharmapuri
  • I. Arun Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle
  • S. Thamizhmanii Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle

Keywords:

Response Optimizer, Inconel 718, Finish Turning, High Speed Machining, Surface Roughness, Cutting Force, Tool Wear

Abstract

The machinability assessment is the critical and challenging task for machining of heat resistant super alloy material like Inconel 718. In finish turning operations are very important in order assemble the component made of such difficult to machining materials. The high speed finish turning process has been carried out with uncoated carbide inserts are used with cold coolant machining conditions. This paper describes an intelligent interactive model development using the machining responses like tool life, surface roughness, and cutting force for high speed finish turning Inconel 718 by using response surface methodology. Based on the design of experiments finish turning trials are conducted at three levels of cutting parameters cutting speed, feed and depth of cut in low, medium and high. Tool life and surface roughness, and cutting force, which are the major aspects of machinability, have been discussed in this investigation. The interactive response optimizer has been developed for intelligent decision making also demonstrated the selection of process parameters against the multi response requirements.

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Published

01-06-2019

How to Cite

Senthilkumaar, J. S., Selvarani, P., Arun, I., & Thamizhmanii, S. (2019). Intelligent machining parameters selection for high speed finish turning of Inconel 718. Manufacturing Technology Today, 18(6), 11–17. Retrieved from https://mtt.cmti.res.in/index.php/journal/article/view/196

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Articles