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Multi-objective optimization of cold rolling system with lubricants using grey relation method

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Author Affiliations

  • 1Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, CG, India
  • 2Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, CG, India
  • 3Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, CG, India

Res. J. Engineering Sci., Volume 6, Issue (4), Pages 1-7, May,26 (2017)

Abstract

Cold Rolling may be defined as the reduction of cross- section area of the metal stock or general shaping of the metal product through the use of rotating rolls below recrystallization temperature. During the cold rolling in a rolling mill synthetic lubricants consisting of mineral oils, biodegradable oil with chemical additives are being used for lubrication to obtain quality rolled surface. The quality of rolled product in cold rolling is largely influenced by surface roughness and chemical wear of rolled surface. Several factors contribute to quality of rolled product among those, composition of lubricant, amount of lubricant and operating speed of roller are more significant. In this study the identified factors were analysed using design of experiment approach. Robust design factor values were estimated by grey relation method. The result indicates that the selected process parameters significantly affect the quality of rolled product. The results are further conformed by conducting confirmation experiments.

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