Computer Assisted Design of Actuator Systems for Laser Micro Adjustment


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The adjustment of micro system components with laser forming using especially designed sheet metal actuator systems is a new and promising technology. However, due to the complexity of the design challenge and the contradicting targets that have to be considered computer assistance for the design of the actuator systems is needed. In order to build such a system several steps have to be taken. First, the actuators have to be modeled with all necessary data. Second, quality criteria have to be defined and fully automated assessment modules for every single objective have to be implemented. And third, an optimization system which utilizes the assessment modules must be developed to improve an initial design. This paper presents a solution for each of these steps. It closes with first results of a reduced version of the system as well as an outlook on the next development steps.



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Edited by:

F. Micari, M. Geiger, J. Duflou, B. Shirvani, R. Clarke, R. Di Lorenzo and L. Fratini




R. Plettke et al., "Computer Assisted Design of Actuator Systems for Laser Micro Adjustment", Key Engineering Materials, Vol. 344, pp. 807-814, 2007

Online since:

July 2007




[1] B. Müller: Laser adjustment - models for the design of actuators. In: M. Geiger, A. Otto (Eds. ): Laser Assisted Net Shape Engineering. (Meisenbach, Bamberg 2001), pp.519-526.

[2] A. Huber: Justieren vormontierter Systeme mit dem Nd: YAG-Laser unter Einsatz von Aktoren (Meisenbach, Bamberg 2001).

[3] B. Müller: Laserstrahljustieren mit Excimerlasern - Prozeßparameter und Modelle zur Aktorkonstruktion (Meisenbach, Bamberg 2001).

[4] J. Denavit, R.S. Hartenberg: A kinematic Notation for Lower-Pair Mechanisms based on Matrices. (ASME Journal of Applied Mechanics, 1955), pp.215-221.

[5] T. Wurm: Laserstrahljustieren mittels Aktoren - Entwicklung von Konzepten und Methoden für die rechnergestützte Optimierung von komplexen Aktorsystemen in der Mikrotechnik (Meisenbach, Bamberg 2004).

[6] D. E. Goldberg: Genetic Algorithms in Search, Optimization and Machine Learning. (AddisonWesley, 1989).

[7] I. Rechenberg: Evolutionsstrategie '94. (frommann-holzboog, Stuttgart-Bad Cannstatt 1994).

[8] M. Laumanns: Analysis and Application of Evolutionary Multiobjective Optimization Algorithms. (ETH, Zürich 2003).

[9] J. Kirchner: Mehrkriterielle Optimierung von Parallelkinematiken. (Verlag Wissenschaftliche Scripten, Zwickau 2001).

[10] H. Hagenah, T. Wurm, M. Geiger: Computer assisted design of actuators for high precision adjustment in micro technology. In: A. Bramley, D. Brissaud, D. Coutellier, C. MacMahon (Eds. ): Advances in integrated design and manufacturing in mechanical engineering. (Springer) pp.403-416.


[11] F. Pfeiffer, E. Reithmeier: Roboterdynamik. (Teubner, Stuttgart 1987).

[12] H. Hagenah, R. Plettke, M. Geiger.: Planning and Control of Laser Forming Applications. In: P. Butala, G. Hlebanja (Eds. ): Proceedings of the 39th CIRP International Seminar on Manufacturing Systems The Morphology of innovative manufacturing systems,. (Ljulbjana, Slowenien) pp.359-367.

[13] F. Vollertsen: Laserstrahlumformen - lasergestützte Formgebung: Verfahren, Mechanismen, Modellierung. (Meisenbach, Bamberg 1996).

[14] K. Deb: Multi-objective optimization using evolutionary algorithms. (Wiley, 2004).