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Fuzzy logic expert system based machinability simulation analysis on nickel based alloy steel

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Abstract

Nickel based alloy steel is generally apply in high temperature application including aerospace, marine, chemical and power plant industries due to its outstanding mechanical properties and thermal resistance. Nickel based alloy steels are often reported to be hard to be machined in traditional machining process because of its high strength and work hardening properties. Difficulty in machining lead to poor machinability like shorter tools life, high cutting force and temperature. Selection of cutting tool and appropriate cutting parameters significantly improve machinability of nickel alloy. This research work contains the analysis of cutting force and temperature in turning of nickel based alloy steel. The paper aims to analyse the effect of cutting parameters including cutting speed, feed rate and depth of cut on machinability performance consequently optimize the turning operation of Inconel 625. Cubic boron nitride (CBN) is the selected insert for the machining process and results are analysed using Finite Element Analysis (FEA). Cutting force and tool temperature results are investigated through Analysis of Variance (ANOVA), 3D surface plot and interaction graphs. The cutting conditions are optimized to achieve low cutting force and low cutting tool temperature under a dry cutting environment. According to the analysis, depth of cut has the highest effect for both resultant cutting forces as well as cutting tool temperature in the selected range of cutting parameters. A Fuzzy logic model was created based on simulation results on Nickel alloy and predict the optimum results accurately with 90.62% confidence level.

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Data sharing is not applicable to this article as no new data were created or analysed in this study.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Curtin University, CDT 250, Miri, Malaysia

    C. Y. Sim & M. M. Reddy

  2. Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India

    Prabhu Sethuramalingam

Authors
  1. C. Y. Sim
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  2. M. M. Reddy
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  3. Prabhu Sethuramalingam
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Correspondence to Prabhu Sethuramalingam.

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Sim, C.Y., Reddy, M.M. & Sethuramalingam, P. Fuzzy logic expert system based machinability simulation analysis on nickel based alloy steel. Int J Interact Des Manuf 16, 1063–1077 (2022). https://doi.org/10.1007/s12008-021-00804-x

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  • DOI: https://doi.org/10.1007/s12008-021-00804-x

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