Tobias Lehrer

ORCID: 0000-0002-0192-9108
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About
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Research Areas
  • Metal Forming Simulation Techniques
  • Metallurgy and Material Forming
  • Advanced Multi-Objective Optimization Algorithms
  • Thermography and Photoacoustic Techniques
  • Welding Techniques and Residual Stresses
  • Power Transformer Diagnostics and Insulation
  • Advanced Sensor Technologies Research
  • High voltage insulation and dielectric phenomena
  • Oil and Gas Production Techniques
  • Manufacturing Process and Optimization
  • Probabilistic and Robust Engineering Design

Technical University of Munich
2023-2024

Regensburg University of Applied Sciences
2019-2023

Abstract In the early-stage development of sheet metal parts, key design properties new structures must be specified. As these decisions are made under significant uncertainty regarding drawing configuration changes, they sometimes result in parts that, at a later stage, will not drawable. result, there is need to increase certainty experience-driven decisions. Complementing this process with global sensitivity analysis (GSA) can provide insight into impact various changes configurations on...

10.1115/1.4065143 article EN ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering 2024-03-22

Abstract New structural sheet metal parts are developed in an iterative, time-consuming manner. To improve the reproducibility and speed up iterative drawability assessment, we propose a novel low-dimensional multi-fidelity inspired machine learning architecture. The approach utilizes results of low-fidelity high-fidelity finite element deep drawing simulation schemes. It hereby relies not only on parameters, but also additional features to generalization ability applicability assessment...

10.1007/s12289-023-01770-3 article EN cc-by International Journal of Material Forming 2023-08-22

Abstract Multi-fidelity optimization, which complements an expensive high-fidelity function with cheaper low-fidelity functions, has been successfully applied in many fields of structural optimization. In the present work, exemplary cross-die deep-drawing optimization problem is investigated to compare different objective functions and assess performance a multi-fidelity efficient global technique. To that end, hierarchical kriging combined infill criterion called variable-fidelity expected...

10.1007/s00158-023-03631-8 article EN cc-by Structural and Multidisciplinary Optimization 2023-07-12

During the factory acceptance test, sound levels are measured. If measured exceed pre-specified values, modifications must be made to transformer's active part or tank. Tank resonance at twice main power frequency and its higher harmonics, if it occurs, is one of reasons amplification generated levels. Therefore, preferable know in early design stage about occurrence tank propose reliable solutions. The current study presents a newly developed model for calculating mode shapes corresponding...

10.23919/arwtr54586.2022.9959917 article EN 2022-10-23
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