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Design of Experiments based Grey Relational Analysis in Various Machining Processes - A Review

Author Affiliations

  • 1Department of Mechanical Engineering, R.V.R. and J.C. College of Engineering, (Autonomous), Guntur, AP, INDIA
  • 2 Dept. of Mechanical Engineering, University College of Engineering, (Autonomous), Andhra University, Visakhapatnam, AP, INDIA

Res. J. Engineering Sci., Volume 2, Issue (1), Pages 21-26, January,26 (2013)

Abstract

Machining processes are widely used in the aerospace, aircraft and automotive industries although that non-traditional machining method have improved in the manufacturing industries in response to new and unusual machining requirement that could not be satisfied by conventional methods. Non-traditional machining including ultrasonic machining, abrasive water jet cutting, electrochemical machining (ECM), and chemical machining (CHM) are some of the examples. In machining processes, cutting fluids are used to lubricate the process and reducing the temperature that contributes of wear and tear to the cutting tool. Aluminum alloys widely used for automotive and aerospace industries which durability, strength, and light weight are desired and these materials subjected to machining operations where the criterion of minimization of lubricant or coolant use is becoming more topicality. Manufacturer have desired to work without any lubricant because of reasons such as the cost of using it, supply and maintenance of the lubricant, hazard arising from the lubricant and the disposal of used lubricant, therefore an alternative methods of machining is a dry machining. A statistical technique, fractional factorial experiments and analysis of variance (ANOVA), has been employed to investigate the influence of cutting parameters. This paper presents a literature review on optimization of various machining processes using design of experiments based grey relational analysis.

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