CASUS Hands-on Software Seminar, Patrick Ackert, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Chemnitz, Germany

introduction // Patrick leads the FWU group “Modeling and Analysis”. His team is involved in the topics of optimizing process chains and of entire factories. A first application of the method is presented here on Christian Schwarz’ paper “Optimization of thick sheet clinching tools using principal component analysis“. Patrick will first present a few brief introductory slides. Afterwards, he will show live demos of various use cases, providing the auditorium with an idea of the range of possible applications. There will be time reserved to discuss ways to apply them to challenges tackled at CASUS.

abstract // A large part of the effort of surrogate modeling consists in the generation, collection and/or preparation of the underlying data. In addition, especially in technical or biological processes (medicine, environmental models) samples can only be generated with enormous effort. Based on this requirement, a new modeling method, the Coupled Process Analyses (CPA), was developed at Fraunhofer IWU. The application of strong standardization methods in combination with actual approaches of correlation analysis allows to efficiently determine cause-effect relationships. Using some representative examples based on process data, experiments and simulations, it is shown that CPA is able to correlate arbitrary data types (discrete values, surfaces, curves) in extensive quantities (up to 1800 inputs or 12 million outputs). All this on an office PC and within a few minutes.

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