German Success Stories in Industrial Mathematics (Mathematics in Industry, 35)

This book should illustrate the impact of collaborations between mathematics and industry. It is both an initiative of and coordinated by the German Committee for Mathematical Modeling, Simulation and Optimization (KoMSO). This publication aims at comparing the state of the art at the intersection of mathematics and industry, as well as the demands for future development of science and technology in Germany and beyond. Each contribution addresses the importance of mathematics in innovation by means of introducing a successful cooperation with an industrial partner in order to display the wide range of industrial sectors where the use of mathematics is the crucial factor for success, but also show the variety of mathematical areas involved in these activities. The success stories introduced in this volume will be supplemented by appropriate illustrations. It is the goal of this publication to highlight cooperation between mathematics and industry as a two-way technology and knowledge transfer, providing industry with solutions and mathematics with new research topics and inspiring new methodologies. Table of Contents Preface Keynotes From Probabilistic Prediction of Fatigue Life to a New Design Approach for Gas Turbines Increasing the Reliability of Multi-Megawatt Gas Compressors Mathematical Modeling, Simulation and Optimization for CERN‘s Quench Protection System Efficient Gas Network Simulations Capacity Evaluation for Large-Scale Gas Networks Purity Assessment of Pellets using Deep Learning Modelling and Simulation of High-Frequency Induction Welding Digital Material Characterization Virtual Product Development and Digital Validation in Automotive Industry Nonwoven Production Processes Optimization of Multimaterial Dies via Numerical Simulations Energy Conservation for Wine Fermentation Modelling and Simulation of Tank Mixing Personalized Medicine – Optimized EPO Dosing Wear Testing of Knee Implants Radiotherapy Treatment Planning MALDI Imaging: Exploring the Molecular Landscape Energy-Efficient Timetabling in a German Underground System Mathematical Optimization and Machine Learning for Efficient Urban Traffic Train Rotation Optimization MESHFREE Simulations in car Design: closing the gaps of Classical Simulation Tools PASIROM: Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters Efficient Virtual Design and Testing of Autonomous Vehicles Tetgen: Tetrahedral Mesh Generation for Complex Simulations WORHP: Development and Applications of the ESA NLP SOLVER Non-Convex Pareto Set Navigation Correction to: Capacity Evaluation for Large-Scale Gas Networks