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Stefan Goetz 0001

dblp:246/0298 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-0326-9158ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 79% Computer animation and physical simulation · 21%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
finite element method
0.312026
Linking Model-Based Definition and Non-Intrusive Finite Element Analysis for Automated Variation Simulation · Comput. Aided Des. 2026

Methods — techniques the papers use, named apart from their topics

quality information framework · 1.0mesh decomposition · 1.0GD&T · 1.0
YearPublicationVenuePosition
2026 Linking Model-Based Definition and Non-Intrusive Finite Element Analysis for Automated Variation Simulation
abstract
Computer-Aided Tolerancing (CAT) software has become the standard for statistically analyzing the effects of geometrical part variations on product quality. Irrespective of CAT’s scope and technical depth, Finite Element Analysis (FEA) software, used to simulate the physical product behavior for ideal part geometry in the first place, is also often used for studies with geometrical shapes deviating from their nominal. However, this requires a manual translation of the tolerances specified in the design phase into geometrical variations represented by Finite Element (FE) meshes and their transfer to the FEA software. The method presented in this article exploits the potential of Model-Based Definition by establishing a link between Computer-Aided Design and FEA software to empower the latter for variation simulation based on semantic Geometric Dimensioning and Tolerancing (GD&T) information. To transfer this information exchanged via the Quality Information Framework (QIF) standard, a new mapping algorithm is presented that automatically decomposes FE meshes into geometrical face elements and creates a semantic link with the GD&T information carried in QIF. As a result, geometrical features are simultaneously described through meshes with nodes in the 3D Euclidean space and mathematical geometrical faces in the 2D parameter space. Exploiting this duality, mesh deviations are modeled indirectly by adjusting the mapped feature descriptions. An exemplary implementation in ANSYS® and its usage for non-intrusive structural simulations illustrates that sharing tolerancing information via QIF enables an automated, GD&T standards-compliant variation simulation within FEA software environments and is one step closer to a seamless digital thread for geometry assurance.
Martin Roth, Jan Kopatsch, Kristina Wärmefjord, Rikard Söderberg, Stefan Goetz 0001
Comput. Aided Des.5
2019 Mapping of GD&T information and PMI between 3D product models in the STEP and STL format
Martin Hallmann, Stefan Goetz 0001, Benjamin Schleich
Comput. Aided Des.2