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9.193 Lectures/texts in conference proceedings
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  • XIV International Conference on Computational Plasticity: fundamentals and applications (COMPLAS 2017), Barcelona, 5-7 September, 2017
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  • XIV International Conference on Computational Plasticity: fundamentals and applications (COMPLAS 2017), Barcelona, 5-7 September, 2017
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Observability of quality features of sheet metal parts based on metamodels

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hdl:2117/181007

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Harsch, D.
Heingärtner, J.
Hortig, D.
Hora, P.
Document typeConference report
Defense date2017
PublisherCIMNE
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Deep drawn sheet metal parts are increasingly designed to the feasibility limit, thus achieving a robust process is often challenging. The fluctuation of process and material properties often leads to robustness problems. Especially skid impact lines can cause visible changes of the surface fine structure even after painting. Numerical simulations are used to detect critical regions and the influences on the skid impact lines. To enhance the agreement with the real process conditions, the measured material data and the force distribution are taken into account. The simulation metamodel contains the virtual knowledge of a particular forming process, which is determined based on a series of finite element simulations with variable input parameters. Based on these metamodels, innovative process windows can be displayed to determine the influences on the critical regions and on skid impact lines. By measuring the draw-in of the part, sensor positions can be identified. Each sensor observes the accordant quality criterion and is hence able to quantify potential splits, insufficient stretching, wrinkles or skid impact lines. Furthermore the virtual draw-in sensors and quality criteria are particularly useful for the assessment of the process observation of a subsequent process control.
URIhttp://hdl.handle.net/2117/181007
ISBN978-84-946909-6-9
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  • COMPLAS - XIV International Conference on Computational Plasticity: fundamentals and applications (COMPLAS 2017), Barcelona, 5-7 September, 2017 [93]
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