Skip to main content
Log in

Design and implementation of an innovative quadratic Gaussian control system for laser surface treatments

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

This article presents an innovative real-time quadratic Gaussian control system developed specifically for laser surface treatments, analysing the specific issues related to its design and physical implementation. Due to its own nature, the proposed controller optimises the amount of energy deposited by the laser source, inducing a lower thermalisation of the treated element, limiting as well the overshooting and consequently the risk of surface degradation, improving significantly the uniformity and final quality of the process, reducing the rejection rate and increasing the productivity and efficiency of the treatment.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Overton G, Hausken T, Belforte DA, Holtonk C, Marketplace L (2012) Annual review and forecast: economic aftershocks keep laser markets unsettled. Laser Focus World 48(2012)

  2. Steen WM, Mazumder J (2010) Laser material processing, 4th edn. Springer, Berlin

    Book  Google Scholar 

  3. Chryssolouris G (1991) Laser machining: theory and practise. Springer, Berlin

    Book  Google Scholar 

  4. F. Vollertsen, K. Partes and J. Meijer. State of the art of laser hardening and cladding. Proceedings of the Third International WLT Conference on Lasers in Manufacturing 2005, Munich, 281–305.

  5. Amado JM, Álvarez C, Pérez JA et al (2004) Steel phase transformation in the CO2 laser hardening process. Revista Metalurgia Madrid 40:365–368

    Article  Google Scholar 

  6. Salonitis K, Chryssolouris G (2007) Thermal analysis of grind-hardening process. Int J Manuf Tech Manag 12:72–92

    Google Scholar 

  7. Römer G, Meijer J, Benneker JO (2004) Process control of laser surface alloying. Surf Eng 14:295–298

    Google Scholar 

  8. Pérez JA, Ocaña JL, Molpeceres C (2008) Design of an advanced incremental fuzzy logic controller for laser surface heat treatments. Int J Adv Manuf Technol 36:732–737

    Article  Google Scholar 

  9. Molpeceres C, Ocaña JL, Pérez JA (2007) Hybrid fuzzy logic control of laser surface heat treatments. Appl Surf Sci 254:879–883

    Article  Google Scholar 

  10. Pérez JA, Ocaña JL, Molpeceres C et al (2009) Adaptive neural network control system for laser surface heat treatments. Int J Adv Manuf Technol 41:513–518

    Article  Google Scholar 

  11. Shieh SW, Huang SJ, Li L (2001) Fuzzy logic control for the Ti6A14V laser alloying process. Int J Adv Manuf Technol 18:247–253

    Article  Google Scholar 

  12. 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

    Article  Google Scholar 

  13. Pérez JA, Orosa JA (2010) Neural modeling of laser surface treatments. Int J Adv Manuf Technol 46:605–610

    Article  Google Scholar 

  14. Amado JM, Álvarez C, Nicolás G et al (2004) Modelling and monitoring of laser refusion processes of coatings obtained by plasma. Boletin Sociedad Española Cerámica y Vidrio 43:441–444

    Article  Google Scholar 

  15. Dopico D, González M, Pérez JA (2010) Adaptive neurofuzzy ANFIS modeling of laser surface treatments. Neural Comput Appl 19:85–90

    Article  Google Scholar 

  16. Jain LC, de Silva CW (1999) Intelligent adaptive control. Industrial applications. CRC, Boca Raton

    Google Scholar 

  17. Cuadrado J, Dopico D, Pérez JA et al (2012) Automotive observers based on multibody models and the extended Kalman filter. Multibody System Dynamics 27:3–19

    Article  MathSciNet  MATH  Google Scholar 

  18. Levine S (2010) The control handbook, 2nd edn. IEEE and CRC, Boca Raton

    Google Scholar 

  19. Kalman RE (1960) A new approach to linear filtering and prediction problems. Trans ASME J Basic Eng 82:35–45

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José Antonio Pérez.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pérez, J.A., López, M. Design and implementation of an innovative quadratic Gaussian control system for laser surface treatments. Int J Adv Manuf Technol 65, 1785–1790 (2013). https://doi.org/10.1007/s00170-012-4300-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-012-4300-3

Keywords

Navigation