| Section | Title | Page | Authors |
|---|---|---|---|
| 1-P | KEYNOTE-VORTRÄGE | ||
| The Science and Engineering of the James Webb Space Telescope | 21 | M. T. Menzel (NASA) | |
| Digitalisierung der Entwicklung | 22 | G. Rapin (Volkswagen) | |
| 2-A | AI/ML 1 | ||
| KI in der FEM-Simulation: Beschleunigte Optimierung von Kunststoffschnapphaken-Designs in der Automobilindustrie | 23 | F. Dirisamer (Digital Physics AI) | |
| Boosting Simulation & Testing Tasks by Integrating AI/ML in SPDM | 27 | A. Köppe (PDTec); S. Mayer (SustainedBizz) | |
| Vom Wunschergebnis zur Lösung - mittels Machine Learning in Minuten zum CAD-Konzeptentscheid | 32 | M. Probst, J. Klein (CAIQ); R. Siegloch (Audi) | |
| KI-Expertensysteme in der Produktentwicklung als Chance für die Konservierung von wertvollem Expertenwissen und nachhaltigerer Ressourcenplanung | 37 | L.-C. Bütow, M. Keil (:em engineering methods); D. Rensink (Segula Technologies) | |
| 2-B | SPDM 1 | ||
| On the Introduction of Cloud-Based SPDM in Multidisciplinary Simulation Teams | 42 | M. Göttlinger (Hilti Entwicklungsgesellschaft) | |
| SPDM-Centric Systems Connection for Seamless End-To-End Simulation Data Management | 45 | I. Makropoulou (BETA CAE Systems) | |
| Datenintegration als Erfolgsfaktor für die Automobilindustrie: Vier Praxis-Beispiele für eine einheitliche Daten- und Prozessintegration sowie optimierte Arbeitsprozesse | 51 | A. Nicklaß (GNS Systems) | |
| Einführung und Nutzen eines zentralen Simulationsdatenmanagementsystems bei Dieffenbacher | 52 | D. Magagnato (Dieffenbacher); C. Stelzer (Cadfem) | |
| 2-C | CFD 1 | ||
| Ensure IP Splash- and Jet-Water Protection with Highly Automated SPH Simulation | 67 | K. Häberle (Alfred Kärcher); B. Legrady (dive solutions) | |
| Simulation of Electric Engine Oil Cooling with Smoothed Particle Hydrodynamics (SPH) | 75 | F. Pause, M. Fischer, G. Mensah (dive solutions) | |
| Einfluss von innovativen Leichtbaumaßnahmen eines permanenterregten Synchronmotors auf die simulative Ermittlung der Temperaturentwicklung seiner Komponenten | 87 | A. Dewald, J. Kern, K. Bause, S. Ott (Karlsruher Institut für Technologie (KIT)) | |
| Integrated 1D and 3D Workflow for EV Battery System Development | 99 | C. Chang, C. Stromberger, H. Li, A. Colleoni, V. Lebrun, S. Kandasamy, F. Gandhi, F. Hesse (Dassault Systèmes) | |
| 2-D | MULTIPHYSIK 1 | ||
| Der Weg zur globalen elektromagnetischen Feldsimulation in Hörgeräten | 103 | T. Fischer, S. Lensing, O. Nipp (WSAudiology) | |
| EMV-Schirmung und Thermik - Auf der Suche nach der besten Lösung | 109 | J. Kinzig (Cenit) | |
| A Multi-Physics Simulation Framework for Maxwell‘s Equations | 115 | T. Rüberg, L. Kielhorn, J. Zechner (TailSit) | |
| 2-E | VMAP 1 | ||
| Workshop: The VMAP Standard for Vendor-Neutral CAE Data Storage | |||
| 3-P | KEYNOTE-VORTRÄGE | ||
| Collaborating with CAE-Processes and -Data Across Several Brands of the VW-Group | 116 | R. Luijkx (Audi AG) | |
| Schlüsselrolle „Mindset“: Datenmanagement und KI in der Entwicklung bei Porsche | 125 | M. Rabus (Dr. Ing. h.c. F. Porsche) | |
| Engineering the Future: Exploring the Impact of AI and ML on CAE | 151 | A. Walle (Siemens Energy) | |
| Connected Engineering and Bio-Inspired Product Development | 152 | C. Hamm (Alfred-Wegener-Institut AWI) | |
| 4-A | AI/ML 3 | ||
| Workshop: KI-gestützte CAE-Projektplanung | |||
| 4-B | SPDM 2 | ||
| Vernetzung der Test- und Simulationswelt in einem PLM-System zur Förderung einer nachhaltigeren Entwicklung | 153 | L.-C. Bütow, M. Keil, R. Kircher (:em engineering methods) | |
| Scale and Democratize Reduced Order Modeling Techniques within an SPDM Framework | 159 | M. Turchetto, T. Gloesslein, A. Viola (Esteco) | |
| Raising the Treasure of SPDMs - How Data Compression and Automatized Event Detection Support Engineers | 162 | D. Borsotto, V. Krishnappa, S. Müller, F. Natter, T. Roth, K. Schreiner, H. Talaat, C.-A. Thole, T. Weinert (Sidact) | |
| 4-C | AI/ML 2 / CFD 2 | ||
| KI in CFD-Simulationen: Neuronale Netzwerke optimieren atmosphärische Wassergeneratoren zur Reduktion des Energiebedarfs | 168 | F. Dirisamer (Digital Physics AI) | |
| ML-basiertes Auslegungstool für Leistungselektronikkühler auf Basis von CFD-Simulationsdaten | 172 | A. Sehlinger, D. Plein, H. Plooij, S. Spring (Tplus Engineering) | |
| Fully Transient Vehicle Crash Predictions Powered by SimAI | 177 | M. Husek, S. Adya, P. Yser (Ansys) | |
| 4-D | FATIGUE-FAILURE-DURABILITY 1 | ||
| Superelement Welds Concept for Fatigue Evaluation | 188 | C. Tegos (BETA CAE Systems) | |
| Vorteile durch die Integration der Lebensdaueranalyse in den FEM-Solver | 192 | M. Klein, E. Heinemeyer (Intes) | |
| Enhanced Lowcycle Fatigue Analyses | 203 | A. Werkhausen, G. Spindelberger (Magna Powertrain, Engineering Center Steyr) | |
| 4-E | METHODEN 1 | ||
| Enhanced AK-IS / AK-MCS Algorithm for Efficient and Accurate Reliability and Sensitivity Analysis | 207 | P. Wurm, A. Rabofsky (Magna Steyr Fahrzeugtechnik) | |
| Preplanning of an Experimental Modal Analysis with Impulse Hammer by using a Simulation Model | 213 | M. Mahler, P. Leistner, T. Müller (Univ. Stuttgart) | |
| OFPL: A Solver-Independent Description Language for the Simulation of Forming Processes | 220 | K. Kassem, D. Sihling (GNS Gesellschaft für numerische Simulation) | |
| 5-A | AI/ML 4 | ||
| CAE Results Animations, Images and Sounds in AI/ML | 226 | C. Thieme (Hexagon) | |
| Effizientes probabilistisches maschinelles Lernen für den Ingenieursalltag | 232 | K. Cremanns (PI Probaligence); T. Iberer, M. Moosrainer (Cadfem Germany) | |
| Transformative Evolution: The Journey of AI/ML in Computer-Aided Engineering Optimization | 240 | D. Schneider (Ansys) | |
| Removing the Data Science Barriers to Deep Learning Surrogates | 246 | H. Habip (Key Ward); A. Fine (Fine Physics) | |
| 5-B | SPDM 3 | ||
| Addressing Challenges in the BiW Model Build-Up Process in AUDI AG | 251 | A. Fassas, S. Karastamatiadis (BETA CAE Systems); R. Lindner (Audi) | |
| Verwaltung der datengetriebenen Produktentwicklung mit einer einheitlichen Umgebung für Engineering Daten | 255 | S. Fink, C. Woll (GNS Systems) | |
| The Way to SPDM: Benefits, Introduction Methodology and Experiences from 20 Years of SPDM Projects | 261 | S. Schweigert-Recksiek, M. Krastel, D. Meier (:em engineering methods) | |
| Leveraging Business Process Management for CAE-Based Product Development | 267 | K. Schmidt (Cummins Deutschland); T. Gloesslein (Esteco) | |
| 5-C | AI/ML - 5 / CFD 3 | ||
| Unsupervised Physics-Informed Deep Learning of the Flow around an Airfoil using a Mixed-Variable Network | 272 | J. H. Harmening, F.-J. Peitzmann (West. Hochschule); O. el Moctar (Univ. Duisburg) | |
| Kopplung von CFD mit datengetriebenen Modellen: Sorption von Wasserstoff | 279 | G. Klepp (Techn. Hochschule Ostwestfalen-Lippe (OWL)) | |
| CFD Simulations in Manufacturing – Cloud, AI/ML, GPUs – Lessons Learned, and Recommendations | 290 | W. Gentzsch (Simr, formerly UberCloud) | |
| Rapid Aerodynamic Development using CFD and Machine Learning | 292 | F. Hesse, J. Higgins, F. Gandhi, J. Bi, V. Oancea, J. Iseler, H. Motiwala, V. Jambhekar (Dassault Systèmes) | |
| 5-D | OPTIMIERUNG 1 | ||
| Neuentwicklungen in der Form- und Sickenoptimierung | 297 | M. Scherer, R. Meske (Tenneco) | |
| Topology Optimization of Continua Considering Stress Charactereristics | 298 | N. Wagner, S. Suresh, C. Wulf (Intes) | |
| Topologieoptimierung des Querschnitts von crashbelasteten Profilen am Beispiel des seitlichen Batterieschutzes eines Audi Q8 e-tron | 305 | D. Schneider, S. Link, F. Beyer, G. Schmidt (Induvos) | |
| Design of Cooling Components Through the Combination of Implicit Modeling and Topology Optimization | 311 | L. Vervecken, S. da Silva Andrade, N. Verdijck, I. Vandebeek (Diabatix) | |
| 5-E | AUTOMATION | ||
| Quick and Reliable Simulation Process Automation - A Critical Driver for Reducing Product Development Time and Cost | 316 | K. Peters, B. Webster (Novus Nexus); M. Felice (virsolTech) | |
| Automatisierung von CAE-Prozessen | 322 | A. Backes (Tecosim) | |
| From Automatic Event Detection to Automatic Cause Correlation | 326 | N. Abdelhady, D. Borsotto, V. Krishnappa, S. Mertler, K. Schreiner, C.-A. Thole (Sidact) | |
| Automated Construction of Compressor Performance Maps | 332 | N. Moello (pSeven) | |
| 6-A | AI/ML 6 | ||
| Synergizing Data Analysis and Machine Learning with Simulation Data Management | 344 | M. Thiele, M. Liebscher, F. Leichsenring (Scale); N. Abdelhandy, D. Borsotto (Sidact); D. Kracker (Dr. Ing. h.c. F. Porsche) | |
| Machine Learning to Empower Engineering Organizations: Technology & Applications | 353 | P. Mc Grath, P. Baqué, K. Kritikos, T. von Tschammer (Neural Concept) | |
| Leveraging Physics-Informed Neural Networks: An Introductory Guideline for Problem-Solving across Various Physical Domains | 355 | L. Schmeing, F. Pioch, J. H. Harmening (Westfälische Hochschule) | |
| Hydrogen Storage 3D Architecture Automated Generation with AI | 363 | J.-P. Roux (DessIA Technologies); H. Massé (OP Mobility) | |
| 6-B | SPDM 4 | ||
| Collaboration and SPDM | 367 | M. Schlenkrich (Hexagon) | |
| Accelerating AI Adoption in CAE with Cloud-Native SPDM | 368 | R. Szoeke-Schuller, J. Wilder, N. Khan (SimScale) | |
| Managing Key Parameters from Simulation Inputs and Results | 372 | F. Doucoure, L. Garategaray, H. Giagnorio (Inensia) | |
| Unlocking the Potential of Simulation Results Inside SPDM: “Smart Simulation Results Management“ within SPDM | 384 | P. Mandava (Visual Collaboration Techn.) | |
| 6-C | MBSE - SIM. CREDIBILITY - VVUQ | ||
| Guard Rails for Simulation Credibility Standards and Recommendation | 405 | H.-M. Heinkel, M. Atak (Robert Bosch); M. Geissen (Unity) | |
| Risk Based Decision and Approach for Credibility Assessment / Check | 416 | H.-M. Heinkel, A. Filimon, M. Atak (Robert Bosch); M. Geissen (Unity) | |
| Identifikation von Parameterunsicherheiten in kalibrierten Simulationsmodellen | 430 | T. Most (Univ. Weimar) | |
| Hierarchical VVUQ Strategy for the Development and Credibility Assessment of a Biodegradable Pulmonary Heart Valve | 436 | N. Götzen, T. Turgut, O. Zahalka, V. Bouwman (4RealSim Services); M. Rolf-Pissarczyk (TU-Graz); M. Isasi (Leartiker); M. J. Mirzaali, M. Pierlink, R. van Tunen (TU-Delft) | |
| 6-D | MATERIAL | ||
| Konsolidierung von Materialkarten für die FEM-Simulation mit unterschiedlichen CAE-Systemen | 442 | U. Diekmann, C. Bunge, T. Marwitz, A. Miron (Matplus) | |
| Integrating of Carbon Footprint into Material Selection within the CAE Simulation Chain | 447 | D. Trost, V. Pocajt (Total Materia) | |
| Mechanical Testing and Material Modeling of Short Glass Fiber Reinforced Plastics - Fossil and Bio-Based | 454 | F. Dillenberger, G. Stoll (Fraunhofer LBF); M. Fornoff (Simcon) | |
| Entwicklung eines Vorgehens zur automatisierten Auslegung zyklisch belasteter, endlosfaserverstärkter Bauteile | 461 | M. Gadinger, C. Bode, S. Wartzack (Univ. Erlangen-Nürnberg) | |
| 6-E | CFD 4 | ||
| Workshop: Machine Learning im CFD | |||
| 7-A | AI/ML 7 | ||
| Enhancing ML-Based VRU Injury Prediction with High-Fidelity Crash Simulation Data and Domain Knowledges | 467 | N. Ballal, T. Soot, M. Dlugosch (Fraunhofer EMI) | |
| Structured Representation of the Relationship Between Model Changes and Findings from the Simulation Results Analysis using an Explorative ML-based Approach | 473 | D. Steffes-lai, R. Iza-Teran, M. Pathare, T. N. Klein, J. Garcke (Fraunhofer SCAI) | |
| Machine Learning Optimization and Quick Verification of an Electric Vehicle Rocker Design | 480 | C. Chatzigeorgiadou, A. Papadopoulos, D. Drougkas, A. Fassas (BETA CAE Systems) | |
| 7-B | OPTIMIZATION 2 | ||
| Multidisciplinary Design Optimization for Additive Manufacturing Repair | 485 | T. Akkaoui, M. Turrin, S. Brancart (Delft Univ.); B. Gholami (BMW) | |
| Analyzing the Structure of an Aircraft Wing | 492 | C. Sahin (Noesis Solutions) | |
| Non-Parametric Optimized E-Machine in Dynamic Noise and Vibration Simulation | 498 | Y. Zhou, C. Kremers, M. Pöschl, M. Quiring, T. Baruth (Dassault Systèmes) | |
| 7-C | CFD 5 | ||
| Automatisierte CFD-Auslegungswerkzeuge am Beispiel der Wärmebehandlung von Titanbauteilen | 504 | U. Heck, M. Becker (DHCAE Tools) | |
| CFD-Simulation von rotierenden Vakuumverdrängerpumpen: Möglichkeiten und Herausforderungen | 509 | A. Spille (CFX Berlin Software) | |
| Meshfree Simulations for Industrial Applications | 524 | F. Castelli, I. Michel, J. Kuhnert (Fraunhofer ITWM) | |
| 7-D | MULTIPHYSIK 2 | ||
| Modeling High-Pressure, High-Temperature Diamond Crystal Growth | 526 | M. Hainke, M. Lang, C. Kranert, J. Friedrich (Fraunhofer IISB); I. Ponomarev (Euclid Beamlabs); B. N. Feigelson (U.S. Naval Research Laboratory); S. S. Dossa, J. J. Derby (Univ. of Minnesota) | |
| Beitrag zum Stand der Simulation der Induktiven Erwärmung | 529 | R. Paßmann (systemworkx) | |
| Modellierung des Laserschneidens von Glasröhren für pharmazeutische Anwendungen | 534 | M. Lang, M. Hainke (Ostbayerische Technische Hochschule Amberg-Weiden (OTH); D. Ruider, S. Fröhle, B. Schmitt (Medical Systems, Gerresheimer Regensburg) | |
| 7-E | SPDM 5 | ||
| Discussion: SPDM: Today‘s Challenges, New Capabilities and Upcoming Developments | |||
| 8-A | AI/ML 8 | ||
| Robust Quality Measures for the Assessment of Machine Learning Models | 538 | T. Most, L. Gräning, S. Wolff (Ansys) | |
| Interaktives 3D Design und Simulation basierend auf Neuronalen Netzwerken | 544 | T. Emmel, A. Fellmeth, J. Bi, V. Oancea (Dassault Systèmes) | |
| Leveraging Machine Learning for Optimal Seal Design in Automotive Connectors | 548 | R. Kumar (TE Connectivity Germany) | |
| Kerbspannungsnachweis von Schweißnähten mit Unterstützung von neuronalen Netzwerken | 552 | W. Feickert, T. Kirchhoff (ihf Ingenieurges.) | |
| 8-B | DIGITAL TWINS - DEMOKRATISIERUNG | ||
| Digital Twins at Rolls-Royce | 558 | A. Keskin (Rolls Royce Group) | |
| Vereinfachte Verhaltensmodelle zur Bewertung der thermomechanischen Zuverlässigkeit leistungselektronischer Baugruppen | 559 | R. Döring, R. Dudek, S. Rzepka (Fraunhofer ENAS); C. Walbrecker-Baar (Siemens); P. Langbehn (iPoint-systems) | |
| Beispiele zur Demokratisierung der Simulation | 564 | R. Paßmann (systemworkx) | |
| “Was ist es, was die Welt (der Simulation) im Innersten zusammenhält?“ – der Medici-Effekt in der Simulation | 571 | M. Stuhlmann-El Sharif, M. Küssner (Technia) | |
| 8-C | CFD 6 | ||
| Development and Credibility Assessment of a TAVI Heart-Valve FSI-Model | 575 | N. Götzen, T. Turgut, O. Zahalka, V. Bouwman, (4RealSim Services) | |
| CFD-Simulation der Fluid-Struktur-Interaktion in der Pumpenkonstruktion | 579 | B. A. Lobo (Cascate) | |
| Data-Driven Modelling of Particle-Induced Turbulence in Sediment Transport | 589 | Y. Stöcker (TU Wien) | |
| 8-D | METHODEN 2 | ||
| GPU-beschleunigte automatische Kontakterkennung | 590 | S. Ferreira, T. Schulz, S. Besler, J. Mueller-Roemer, D. Weber (Fraunhofer IGD / TU Darmstadt) | |
| Nonlinear Dynamic Analysis Using Harmonic Balance Method | 595 | M. Klein, R. Helfrich, T. Willerding (Intes) | |
| Managing Technical Parameters to Setup Virtual Tests | 606 | H. Krappe, A. Mahl (PDTec) | |
| Automatische, baugruppenbasierte Modellierung und Simulation | 611 | A. Dadalau (Meshparts) | |
| 8-E | SPDM 6 | ||
| Discussion: SPDM Best-Practices | |||
| 9-A | AI/ML 9 | ||
| Diskussion: Artificial Intelligence und Machine Learning in der CAE-basierten Simulation | |||
| 9-B | PROZESSE - HPC | ||
| Die Verbindung von Workflow Management Systemen und Cloud Computing | 641 | R. Bitsche (Rescale) | |
| Das Projekt EuroCC | 647 | H. Strauss, A. Wierse (Sicos BW) | |
| 9-C | FATIGUE-FAILURE-DURABILITY 2 | ||
| Interoperability of CAD and CAE for Enhanced Car Component Design and Optimization in Crash Scenarios | 656 | M. Tryfonidis, Z. Kanellia (BETA CAE Systems) | |
| Fatigue Strength Assessment of Injection-Molded Fiber-Reinforced Plastic Components for Electric Vehicles | 663 | M. Stojek, S. Pazour (PART Engineering); V. Mortazavian (Ascend Performance Materials) | |
| Cracking the Code of Welded Shaft Reliability in e-Axle Motors | 665 | H. Moorthy, A. Marchi (Valeo Automotive) | |
| 9-D | MEHRKÖRPERSIMULATION MKS | ||
| Nonlinear Modeling of a Flat Flexible Body in Multibody Dynamics by a 2D Segmentation Approach | 667 | T. Ulmer (Airbus Operations) | |
| Multi-Body Simulation of the Switching Processes within an Innovative Ankle Foot Orthosis Mechanics | 674 | P. Steck, D. Scherb, J. Miehling, S. Wartzack (Univ. Erlangen-Nürnberg) | |
| Elastische Mehrkörpersimulation von Wälzlagern | 689 | T. Baumann, S. Tremmel (Univ. Bayreuth); B. Hahn (Schaeffler Technologies) |
| Reference | dach24-proceedings |
|---|---|
| Authors | NAFEMS NAFEMS DACH Steering Committee |
| Language | English |
| Audiences | Analyst |
| Type | Event Proceedings |
| Date | 10th June 2024 |
| Organisations | NAFEMS |
| Region | DACH |
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