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Case of Study

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

Abstract

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.

Keywords

Heat Transfer Coefficient Wear Rate Tool Wear Material Removal Rate Pareto Front 
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.

References

  1. S.A. Iqbal, P.T. Mativenga, M.A. Sheikh, Characterization of machining of AISI 1045 steel over a wide range of cutting speeds. Part 2: evaluation of flow stress models and interface friction distribution schemes. Proc. Inst. Mech. Eng. B-J Eng. 221, 917–926 (2007). doi: 10.1243/09544054JEM797 CrossRefGoogle Scholar
  2. S.P.F.C. Jasper, J.H. Dautzenberg, Material behaviour in conditions similar to metal cutting: flow stress in the primary shear zone. J. Mater. Process. Tech. 122, 322–330 (2002). doi: 10.1016/S0924-0136(01)01228-6 CrossRefGoogle Scholar
  3. R. Quiza, M. Rivas, E. Alfonso, Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes. Eng. Appl. Artif. Intell. 19, 127–133 (2006)CrossRefGoogle Scholar
  4. Y.-C. Yen, J. Söhner, B. Lilly, T. Altan, Estimation of tool wear in orthogonal cutting using the finite element analysis. J. Mater. Process. Tech. 146, 82–91 (2004). doi: 10.1016/S0924-0136(03)00847-1 CrossRefGoogle Scholar

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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