Generation of deviated geometry based on manufacturing process simulations
Schleich B, Wartzack S (2012)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2012
Conference Proceedings Title: Proceedings of the 9th Optimization and Stochastic Days 2012
Event location: Weimar
URI: https://www.mfk.uni-erlangen.de?file=pubmfk_5666a9a71a3fc
Abstract
Every process underlies fluctuations of input and ambient parameters. In manufacturing processes, these fluctuations manifest i.a. in geometric deviations of manufactured workpieces which in turn hugely decrease the function and quality of technical products. Therefore, these deviations have to be limited by geometric tolerances. In this regard, tolerance simulations aim at determining and quantifying the effects of deviations on the product quality. However, in order to obtain resilient predictions about the impacts of process fluctuations on the quality of technical products realistic samples of deviated geometries have to be available which reflect the observable geometric manufacturing deviations. The proposed approach employs methods from computer vision and regression analysis for generating realistic geometry samples based on a limited set of observations, e.g. gathered from manufacturing process simulations or measurements, considering manufacturing process parameters. An exemplary application using the software "Statistics on Structure" (SoS) and "optiSLang" by dynardo GmbH is given.
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How to cite
APA:
Schleich, B., & Wartzack, S. (2012). Generation of deviated geometry based on manufacturing process simulations. In Dynardo GmbH (Eds.), Proceedings of the 9th Optimization and Stochastic Days 2012. Weimar, DE.
MLA:
Schleich, Benjamin, and Sandro Wartzack. "Generation of deviated geometry based on manufacturing process simulations." Proceedings of the 9th Optimization and Stochastic Days 2012, Weimar Ed. Dynardo GmbH, 2012.
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