Case of Study

  • Ramón Quiza
  • Omar López-Armas
  • J. Paulo Davim
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


This chapter presents a case of study exemplifying the combined application of the finite element method (FEM) and artificial intelligence (AI) based tool in modeling and optimization of manufacturing process. In the study, modeling of an orthogonal cutting process of AISI 1045 steel is carry out by using the FEM. Outcomes of the model, in terms of cutting forces and tool wear are related to the experimental factors (feed, velocity and rake angle) through neural networks models. Finally, a multi-objective optimization process is defined and executed in order to obtain the most convenient factors for this specific process, on different workshop conditions.


Heat Transfer Coefficient Wear Rate Tool Wear Material Removal Rate Pareto Front 
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Copyright information

© The Author(s) 2012

Authors and Affiliations

  • Ramón Quiza
    • 1
  • Omar López-Armas
    • 2
  • J. Paulo Davim
    • 3
  1. 1.Department of Mechanical EngineeringUniversity of MatanzasMatanzasCuba
  2. 2.Department of Mechanical EngineeringUniversity of MatanzasMatanzasCuba
  3. 3.Department of Mechanical EngineeringUniversity of AveiroAveiroPortugal

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