DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022) 2022
DOI: 10.35199/dfx2022.18
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A model-based approach for early robustness evaluation – Combination of Contact and Channel Approach with tolerance graphs in SysML

Abstract: Considering variations is essential for the development of robust products, but the applicability of existing robust design approaches in early stages is challenging due to the lack of product information and high levels of abstraction. To overcome this, a combined model is presented, which enables a holistic robustness evaluation in a linked approach. This approach uses the contact and channel approach to identify the relations between embodiment and functions as well as the robustness evaluation based on tol… Show more

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Cited by 2 publications
(8 citation statements)
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“…Moreover, evaluation criteria are derived for the principles so that a more precise evaluation can take place. Compared to Horber et al (2022), the use of the information from C&C²-A for RD and robustness evaluation has been explored. Although this information is now available, the information retrieval is currently done manually by the users.…”
Section: Discussionmentioning
confidence: 99%
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“…Moreover, evaluation criteria are derived for the principles so that a more precise evaluation can take place. Compared to Horber et al (2022), the use of the information from C&C²-A for RD and robustness evaluation has been explored. Although this information is now available, the information retrieval is currently done manually by the users.…”
Section: Discussionmentioning
confidence: 99%
“…These insights were then used for concept improvements regarding its robustness focusing on the EFR (Grauberger et al, 2020). Based on that initial concept, Horber et al (2022) developed the embodiment function relation and tolerance (EFRT-) model. Resulting from the fact, that both approaches rely on graphical models, a unifying model combination was developed.…”
Section: The Embodiment Function Relation and Tolerance Modelmentioning
confidence: 99%
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