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


This chapter begins with an explanation about the importance of modeling and optimization of manufacturing processes not only from the scientific and researching point of view but also for practical industrial applications. Then it introduces the hybrid approach which combines artificial intelligence tools and finite element method for these modeling and optimization tasks. The advantages and shortcomings of each of these techniques are exposed, highlighting the convenience of combining both methods, increasing the robustness and flexibility. Furthermore, the different approaches for combining artificial intelligence and finite element method in modeling and optimization of manufactured processes are outlined and preliminarily evaluated.


Finite Element Method Artificial Intelligence Technique Punch Radius Extrusion Load Cellular Automaton Finite Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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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