Multi-objective optimization of oblique turning operations using finite element model and genetic algorithm

Usama Umer, Jaber Abu Qudeiri, Hussein Abdalmoneam Mohammed Hussein, Awais Ahmed Khan, Abdul Rahman Al-Ahmari

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Multi-objective optimization of oblique turning operations while machining AISI H13 tool steel has been carried out using developed finite element (FE) model and multi-objective genetic algorithm (MOGA-II). The turning operation is optimized in terms of cutting force and temperature with constraints on required material removal rate and cutting power. The developed FE model is capable to simulate cutting forces, temperature and stress distributions, and chip morphology. The tool is modeled as a rigid body, whereas the workpiece is considered as elastic-thermoplastic with strain rate sensitivity and thermal softening effect. The effects of cutting speed, feed rate, rake angle, and inclination angle are modeled and compared with experimental findings. FE model is run with different parameters with central composite design used to develop a response surface model (RSM). The developed RSM is used as a solver for the MOGA-II. The optimal processing parameters are validated using FE model and experiments.

Original languageEnglish
Pages (from-to)593-603
Number of pages11
JournalInternational Journal of Advanced Manufacturing Technology
Volume71
Issue number1-4
DOIs
Publication statusPublished - Mar 2014
Externally publishedYes

Keywords

  • Finite element model
  • Multi-objective optimization
  • Oblique turning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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