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Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA

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Abstract

The present paper deals with experimental investigations carried out for machinability study of hardened steel and to obtain optimum process parameters by grey relational analysis. An orthogonal array, grey relations, grey relational coefficients and analysis of variance (ANOVA) are applied to study the performance characteristics of machining process parameters such as cutting speed, feed, depth of cut and width of cut with consideration of multiple responses, i.e. volume of material removed, surface finish, tool wear and tool life. Tool wear patterns are measured using optical microscope and analysed using scanning electron microscope and X-ray diffraction technique. Chipping and adhesion are main causes of wear. The optimum process parameters are calculated for rough machining and finish machining using grey theory and results are compared with ANOVA.

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Authors and Affiliations

  1. Central Mechanical Engineering Research Institute, Durgapur, 713209, India

    Bala Murugan Gopalsamy & Biswanath Mondal

  2. National Institute of Technology, Durgapur, 713 209, India

    Sukamal Ghosh

Authors
  1. Bala Murugan Gopalsamy
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  2. Biswanath Mondal
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  3. Sukamal Ghosh
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Correspondence to Bala Murugan Gopalsamy.

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Gopalsamy, B.M., Mondal, B. & Ghosh, S. Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA. Int J Adv Manuf Technol 45, 1068 (2009). https://doi.org/10.1007/s00170-009-2054-3

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  • DOI: https://doi.org/10.1007/s00170-009-2054-3

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