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Multiple-response optimization for micro-endmilling process using response surface methodology

  • U. Natarajan
  • PR. Periyanan
  • S. H. Yang
ORIGINAL ARTICLE

Abstract

In the present trend, new fabrication methods for producing miniaturized components are gaining popularity due to the recent advancements in micro-electro mechanical systems. Micro-machining differs from the traditional machining with the small size tool, resolution of xy and z stages. This paper focuses RSM for the multiple response optimization in micro-endmilling operation to achieve maximum metal removal rate (MRR) and minimum surface roughness. In this work, second-order quadratic models were developed for MRR and surface roughness, considering the spindle speed, feed rate and depth of cut as the cutting parameters, using central composite design. The developed models were used for multiple-response optimization by desirability function approach to determine the optimum machining parameters. These optimized machining parameters are validated experimentally, and it is observed that the response values are in good agreement with the predicted values.

Keywords

RSM Optimization Micro-endmilling MRR Surface roughness ANOVA 

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.School of Mechanical EngineeringKyungpook National UniversityDaeguSouth Korea
  2. 2.Department of Mechanical EngineeringSudharsan Engineering CollegeTamilnaduIndia

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