NAFEMS Iberia is delighted to introduce you to the preliminary agenda for the 2024 NAFEMS Iberia Conference
PROVISIONAL AGENDA: | |
Universidad Politécnica de Madrid (UPM), Madrid 14 November 2024 | |
11:30 | Registration |
SESSION 1: Room A-201 Torres Quevedo (2nd floor) | |
12:00 | Welcome (NAFEMS Iberia) |
12:05 | Presentation by NAFEMS International |
12:15 | Structural Topology Optimization as a Convolutional Neural Network. |
Raul Llamas (Airbus) | |
12:40 | Rapid Generative Design Exploration & Simulation Methods for Additively Manufactured Heat Exchangers. |
Alejandro Lopez (nTopology Inc.) | |
13:05 | How can classic engineering methods be combined with machine learning algorithms to reduce cabin noise? |
Annika Schmidt (Technical University of Applied Sciences Wildau) | |
13:30 | Questions & Answers (additional) |
13:40 | SPONSOR presentation: Dassault |
13:45 | Snack lunch break (Exhibition area) |
SESSION 2: Room A-201 Torres Quevedo (2nd floor) ** in parallel with SESSION 3, please note timing | |
14:25 | Analysis of Insertion and Extraction Processes. |
Pablo González & Javier Rodríguez (Principia) | |
14:50 | A cost-effective Cold Roll-Forming FE model for industrial applications |
Timothy Senart (CRM Group) | |
15:15 | Simulación CFD-DEM en el diseño de gasificadores de biomasa de lecho fluidizado. |
Pedro Gómez Molina & Álvaro José Martínez González (ICEMM) | |
15:40 | Body in White stiffness prediction and Optimization. |
Dimitrios Drougkas (Beta CAE Systems SA) & Fabiola Cavaliere (Centro Técnico de SEAT S.A.) | |
16:05 | Questions & Answers (additional) |
16:10 | Coffee break (Exhibition area) |
SESSION 3: Room A-102 Emilio Herrera (1st floor) ** in parallel with SESSION 2, please note timing | |
14:25 | Thermodynamics-informed Neural Networks in Physical Simulation. |
Alberto Badias (Universidad Politécnica de Madrid) | |
14:50 | Development of a reduced FE model for failure prediction of recycled composite plies structures. |
Miguel Herraez (TecnoDigital School) | |
15:15 | Intelligence Morphing: Using CAD morphing and machine learning to predict CAE results |
Alberto Perez, Victor Jaouen & Vidya Shankar (Simulexa) | |
15:40 | Optimización multiobjetivo mediante algoritmos genéticos. |
Nicolas Escribano, Gabriel Beltrán Lostal, José Manuel Bielsa Gimeno & Begoña García Arregui (Instituto Tecnológico de Aragón (ITA)) | |
16:05 | Questions & Answers (additional) |
16:10 | Coffee break (Exhibition area) |
SESSION 4: Room A-201 Torres Quevedo (2nd floor) | |
16:40 | SPONSOR presentation: BETA CAE Systems |
16:45 | A Framework for Analytical Decomposition of Subjective Attributes Within Vehicle Dynamics. |
Dylan Watt (Jaguar Land Rover) | |
17:10 | The Atmospheric Boundary Layer. Discussion and methodology proposal for proper development of numerical wind tunnels. |
Francisco Hurtado (Cade Solutiones de Ingenieria S.L.) | |
17:35 | Application of machine learning for reduce modelling in order to calibrate a 1D ventilation model of a complex road tunnel network. |
Fabian de Kluijver & Alberto Lopez de Arriba (JVVA) | |
18:00 | Questions & Answers (additional) |
18:10 | Concluding remarks (NAFEMS Iberia) |
18:15 | Close |
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