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Self-optimizing Simulation
Self-optimizing simulation of laserwelding processes (FNK)
In this project, the laser welding of aluminum was modeled mathematically and efficient numerical methods were developed to solve the resulting model. Parts of the process were mapped through analytical models such as keyhole (vapor capillary) geometry and the development of the temperature profile was reckoned through the use of the FEM simulation. An optimization process is executed in an iterative manner, and thus also the simulation, in order to realize self optimization of the process parameters. To reduce the calculating time to an acceptable degree, an adaptive mesh refinement algorithm was implemented. This algorithm produces, with regard to process parameters, an optimal adapted mesh. With this means, the optimal process parameters can successfully be determined automatically with restriction to a specified criterion such as the distortion angle of a work piece at a particular region. Then, a maximum value of this angle, representing the distortion degree of the work piece continuously influenced throughout the welding process, must be predetermined and used as a target value which must not be exceeded with the help of the welding process parameter optimization.
Funded by
DFG
Timeframe
2004/10/01 - 2008/03/31
Department Manager
Dipl.-Phys. Haiko von Rebenstock
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