Process optimization and decision support for high performance micro-milling of Ti-6A1-4V alloys

Thanongsak Thepsonthi, Tugrul Ozel

Research output: Contribution to journalConference articlepeer-review

Abstract

Titanium alloys are considered biocompatible and suitable for medical applications. However, mechanical machining of titanium alloys is still very difficult and even more challenging when it comes to micro-scale mechanical machining such as micro-end milling. Severe burr formation and rapid tool wear create significant problems to micro-machining process and finished surfaces. In order to improve the performance of micro-end milling in Ti-6A1-4V alloy, this study proposes a novel method in selecting the optimum process parameters which can meet the micro-machining requirements and constraints. The experiments, finite element simulations, Constrained Multi-Objective Particle Swarm Optimization (CMOPSO) and mathematical modeling techniques were utilized to facilitate the process parameter selection. Based on the machining tests on a circular thin rib feature, the decision support results indicate significant improvements in process performance.

Original languageEnglish (US)
Pages (from-to)158-167
Number of pages10
JournalTransactions of the North American Manufacturing Research Institution of SME
Volume42
Issue numberJanuary
StatePublished - 2014
Event42nd North American Manufacturing Research Conference 2014, NAMRC 2014 - Detroit, United States
Duration: Jun 9 2014Jun 13 2014

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Keywords

  • Decision support system
  • Micro-end milling
  • Multi-objective particle swarm optimization
  • Titanium alloys

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