Multi-Objective Optimization of Process Parameters for Drilling Fiber-Metal Laminate Using a Hybrid GRA-PCA Approach


FME Transactions, vol.49, no.2, pp.356-366, 2021 (Refereed Journals of Other Institutions)

  • Publication Type: Article / Article
  • Volume: 49 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.5937/fme2102356e
  • Title of Journal : FME Transactions
  • Page Numbers: pp.356-366


This study investigated the effects of drilling parameters and cutting tool coating conditions on the thrust force, surface roughness, and delamination factor in the drilling of fiber-reinforced carbon reinforced aluminum laminate (CARALL) composite, a commercial type of fiber-metal laminate. Gray relational analysis (GRA) was used as a multi-objective optimization method to determine optimum processing parameters and principal component analysis (PCA) was used to determine the weights. According to the findings of this experimental study, the most effective control factors for the thrust force, surface roughness, and delamination factor were the feed rate, tool coating condition-cutting speed interaction, and tool coating condition, with 93.87%, 66.504%, and 29.137% contribution rates, respectively. From the results of the GRA-PCA analysis, the optimum levels of the control factors were determined as 110 m/min cutting speed, 0.1 mm/rev feed rate, and the uncoated tool.