Skip to main content
SpringerLink
Log in

Adaptive neurofuzzy ANFIS modeling of laser surface treatments

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

This paper introduces a new ANFIS adaptive neurofuzzy inference model for laser surface heat treatments based on the Green’s function. Due to its high versatility, efficiency and low simulation time, this model is suitable not only for the analysis and design of control systems, but also for the development of an expert real time supervision system that would allow detecting and preventing any failure during the treatment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Kincade K, Anderson S (2008) Laser marketplace 2008. Laser Focus World 44(1):74–95

    Google Scholar 

  2. Pérez JA, Ocaña JL, Molpeceres C (2008) Design of an Advanced incremental fuzzy logic controller for laser surface heat treatments. Int J Adv Manuf Tech 36(7–8):732–737. doi:10.1007/s00170-006-0872-0

    Article  Google Scholar 

  3. Pérez JA, Ocaña JL, Molpeceres C (2007) Hybrid fuzzy logic control of laser surface heat treatments. Appl Surf Sci 254(4):879–883. doi:10.1016/j.apsusc.2007.07.161

    Article  Google Scholar 

  4. Pérez JA, González MJ, Naya MA (2008) Model reference adaptive control system for laser surface treatments. Proc IMechE. Part I. J Syst Control Eng 222(8):875–881. doi:10.1243/09596518JSCE602

    Google Scholar 

  5. Carslaw HS, Jaeger JC (1986) Conduction of heat in solids, 2nd edn. Oxford University Press, Oxford

    MATH  Google Scholar 

  6. Majumdar P, Xia H (2007) A Green’s function model for the analysis of laser heating of materials. Appl Math Model 31(6):1186–1200. doi:10.1016/j.apm.2006.04.007

    Article  MATH  Google Scholar 

  7. Römer G, Zwart H et al (1998) Modelling of the temperature field induced by laser surface irradiation in the view of feedback control theory. Lasers Eng 7:179–197

    Google Scholar 

  8. Yáñez A, Álvarez C, Pérez JA et al (2002) Modelling of temperature evolution on metals during laser hardening process. Appl Surf Sci 186:611–616. doi:10.1016/S0169-4332(01)00696-1

    Article  Google Scholar 

  9. Amado JM, Álvarez C, Nicolás G et al (2004) Modelling and monitoring of laser refusion processes of coatings obtained by plasma. Bol Soc Esp Ceram Vidr 43(2):441–444

    Google Scholar 

  10. Roger JS, Sun C (1993) Functional equivalence between radial basis function networks and fuzzy inference systems. IEEE Trans Neural Netw 4:156–159. doi:10.1109/72.182710

    Article  Google Scholar 

  11. Roger JS, Sun C (1995) Neuro fuzzy modelling and control. Proc IEEE 83(3):378–406. doi:10.1109/5.364486

    Article  Google Scholar 

  12. Roger JS (1993) ANFIS: Adaptive network based fuzzy inference systems. IEEE Trans Syst Man Cybern 23(3):665–685. doi:10.1109/21.256541

    Article  Google Scholar 

  13. Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller (Part I and II). IEEE Trans Syst Man Cybern 20(2):404–435. doi:10.1109/21.52551

    Article  MATH  Google Scholar 

  14. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modelling and control. IEEE Trans Syst Man Cybern 15:116–132

    MATH  Google Scholar 

  15. Roger JS, Gulley N (2007) Matlab fuzzy logic toolbox. User’s guide. The MathWorks Inc., Natick

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering II, University of La Coruña, Escuela Politécnica Superior, c.\ Mendizábal s/n, 15403, Ferrol (La Coruña), Spain

    José Antonio Pérez, Manuel González & Daniel Dopico

Authors
  1. José Antonio Pérez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manuel González
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniel Dopico
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to José Antonio Pérez.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pérez, J.A., González, M. & Dopico, D. Adaptive neurofuzzy ANFIS modeling of laser surface treatments. Neural Comput & Applic 19, 85–90 (2010). https://doi.org/10.1007/s00521-009-0259-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-009-0259-x

Keywords

Search

Navigation