Article ID Journal Published Year Pages File Type
566388 Advances in Engineering Software 2009 12 Pages PDF
Abstract

Computer-Numerical-Control based five-axis milling offers new possibilities for improving the machining process. However, this procedure is still difficult to handle, particularly in case of machining complex free-formed surfaces. An optimization approach based on the multi-objective evolutionary algorithm SMS-EMOA (S-metric selection evolutionary multi-objective optimization algorithm) combined with a multi-population approach has been developed and used in order to utilize the potential of the five-axis milling process. After a general introduction to this machining process and the potential of path optimization, the designed multi-population multi-objective evolutionary approach, its integration into the simulation, and its adaptation to the practical example is described.

Related Topics
Physical Sciences and Engineering Computer Science Software
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