Abstract
In this contribution, we present a framework for the computer-aided planning and optimisation of manufacturing process chains for functional graded components. The framework is divided into three modules – the “Component Description”, the “Expert System” for the synthetisation of several manufacturing process chains and the “Modelling and Process Chain Optimisation”. The Component Description module enhances a standard computer-aided design (CAD) model by a voxel-based representation of the intended graded properties. The Expert System synthesises manufacturing process steps stored in the knowledge base to generate alternative process chains. All these process chains are capable of producing components according to the enhanced CAD model. They consist of a sequence of heating-, cooling-, and forming manufacturing processes. The interdependencies between the component and the applied manufacturing processes as well as between the processes themselves need to be considered. For that purpose the Expert System utilises an ontology. The ontology represents all the interdependencies in a structured way and connects the information of the knowledge base via relations. The third module performs the evaluation of the generated manufacturing process chains. To accomplish this, the parameters of each process step are optimised according to the component specification, whereby the result of the best parameterization is used as a representative value. Finally the process chain which is capable of producing a functional graded component in an optimal way regarding to the property distributions of the component description is presented by means of a dedicated specification technique.
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Petersen, M., Gausemeier, J. (2013). A Comprehensive Framework for the Computer-Aided Planning and Optimisation of Manufacturing Processes for Functional Graded Components. In: Kovács, G.L., Kochan, D. (eds) Digital Product and Process Development Systems. NEW PROLAMAT 2013. IFIP Advances in Information and Communication Technology, vol 411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41329-2_40
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DOI: https://doi.org/10.1007/978-3-642-41329-2_40
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