Evolutionary optimized mold temperature control strategies using a multi-polyline approach

Authors:
Jörn Mehnen;Thomas Michelitsch;Klaus Weinert
Affiliations:
University of Dortmund, Department for Machining Technology, ISF, Dortmund, Germany;University of Dortmund, Department for Machining Technology, ISF, Dortmund, Germany;University of Dortmund, Department for Machining Technology, ISF, Dortmund, Germany
Venue:
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Year:
2003

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Abstract

During the machining process the tools for pressure and injection molding have to keep an optimal working temperature. This temperature depends on the workpiece material and allows a safe, efficient and precise machining process. The compact and very expensive steel molds are penetrated with deep hole drilling bores that are combined to form mold temperature control circuits. Today the structure of these circuits are designed manually. Here, a new automatic layout system for mold temperature control strategies is introduced which uses a multiobjective fitness function. The circuits are encoded via a polyline approach. The complex optimization problem is solved using a variation of the evolution strategy. The evolutionary approach as well as first results of the system will be discussed.