
Alexander Fischer
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Alexander Fischer
- Bis heute 6 Jahre und 11 Monate, seit Sep. 2018
Computational Engineer Cell Contacting Systems
Diehl Advanced Mobility GmbH
Mechanical and thermal-electric modeling (FE tool: Ansys) and validation of battery contacts (application in e-car) with respect to physical limits and requirement specifications in the product development process Optimization of components with Python/ application of evolutionary algorithms: Increasing load but decreased need of material Optimization of fuse design with respect to disconnection behaviour, heat distribution and behaviour under mechanical loads
- 3 Jahre, Sep. 2015 - Aug. 2018
Computational Engineer, R&D HEV
LuK GmbH & Co. KG
Cross functional evaluation of hybrid electric vehicle (HEV) conecpts, identification of novel and forward-looking hybrid systems Evaluation of the dynamic behaviour of the electric motor, optimisation of a bearing concept for a smoother operation of the e-motor Standardization of the simulation process, thus decreasing the simulation time and applying it to a wide range of hybrid systems Evaluation of vibrating and rotating machinery using self-written programs (Matlab, VBA) and commercial software
- 8 Monate, Sep. 2013 - Apr. 2014
Diplomand
IAV GmbH
Diploma thesis in multibody dynamics, simulating the behaviour of gear wheels used in a balance shaft system of a four-cylinder in-line engine Simulation of gear wheels with different level of detail Comparison of the simulations results with measured data/ identification of measurement errors Multibody software: Simpack
Internship in the research department, developed a program to evaluate the bearing force and moment reactions of a crankshaft applying a variety of different engine configurations Simulating a novel crank drive mechanism based on an eccentric piston pin to increase the efficiency using the multibody tool ADAMS
Ausbildung von Alexander Fischer
- 6 Jahre und 10 Monate, Okt. 2007 - Juli 2014
Mechanical Engineering/ Applied Mechanics
Otto-von-Guericke-Universität Magdeburg
Applied mechanics (dynamics of machinery, rotordynamics, vibrations, continuum mechanics) Numerical mathematics Multibody simulation, finite element method Applied programming (Matlab, Python, Fortran, Exel-VBA)
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
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