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Implementation of Parameterized Work Piece Deviations and Measurement Uncertainties into Performant Meta-models for an Improved Tolerance Specification

Part of: Robust Design

Published online by Cambridge University Press:  26 July 2019

Andreas Michael Müller ,
Thomas Oberleiter ,
Kai Willner  and
Tino Hausotte
Andreas Michael Müller*
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute of Manufacturing Metrology;
Thomas Oberleiter
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Chair of Applied Mechanics
Kai Willner
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Chair of Applied Mechanics
Tino Hausotte
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute of Manufacturing Metrology;
*
Contact: Müller, Andreas Michael, Friedrich-Alexander-Universität Erlangen-Nürnberg Institute of Manufacturing Metrology, Germany, andreas.mueller@fmt.fau.de

Abstract

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Geometrical work piece deviations are unavoidable and directly affect the function and quality of technological products. Tolerance management is regarded as a crucial subtask of the development of technological products, because it ensures the function as well as a sufficient product quality while maintaining reasonable production costs. That means, that geometric tolerances as an essential part of the product description greatly affect the functional capability, manufacturability, mountability, verifiability and the costs of the final product. The research group FOR 2271 was founded to enable the computer-aided specification of tolerances, which meet the requirements of production, assembly, verification and function by close cooperation between the departments responsible for product design, assembly and metrology. The aim of this contribution is to determine the manufacturing process scatter as well as the measurement uncertainty and establish ways and means to include that information into efficient meta-models, ultimately enabling improved and accurate tolerance analyses.

Keywords

Tolerance representation and managementUncertaintyProduct modelling / models
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3501 - 3510
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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