Sebastian Bickel

Chair of Engineering Design (KTmfk)

Testing the Generalizability of Deep Learning Based Plausibility Detection with Unknown Finite Element Simulations (2024) Bickel S, Götz S, Wartzack S Conference contribution Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning (2024) Bickel S, Götz S, Wartzack S Journal article Integration of product development data for further ontological utilization (2024) Pickel J, Bickel S, Götz S, Wartzack S Conference contribution Challenges in the Virtual Geometry Assurance of Proton Exchange Membrane Fuel Cell Stacks (2024) Roth M, Bickel S, Götz S, Wartzack S Conference contribution, Conference Contribution FROM SKETCHES TO GRAPHS: A DEEP LEARNING BASED METHOD FOR DETECTION AND CONTEXTUALISATION OF PRINCIPLE SKETCHES IN THE EARLY PHASE OF PRODUCT DEVELOPMENT (2023) Bickel S, Götz S, Wartzack S Journal article Detection of Plausibility and Error Reasons in Finite Element Simulations with Deep Learning Networks (2023) Bickel S, Götz S, Wartzack S Journal article DETECTION OF SINGULARITIES IN FINITE ELEMENT SIMULATIONS: A 3D DEEP LEARNING APPROACH (2023) Bickel S, Götz S, Wartzack S Conference contribution A Novel Shape Retrieval Method for 3D Mechanical Components Based on Object Projection, Pre-Trained Deep Learning Models and Autoencoder (2023) Bickel S, Schleich B, Wartzack S Journal article Generating Digital Twins for Path-Planning of Autonomous Robots and Drones Using Constrained Homotopic Shrinking for 2D and 3D Environment Modeling (2022) Denk M, Bickel S, Steck P, Götz S, Völkl H, Wartzack S Journal article Enabling Initial Design-Checks of Parametric Designs Using Digital Engineering Methods (2022) Gerschütz B, Bickel S, Schleich B, Wartzack S Journal article