Christine Heinzel, M.Sc.

21335 Lüneburg, Universitätsallee 1, C12.220
Fon +49.4131.677-1897, christine.heinzel@leuphana.de
Wiss. Mitarbeiter*in, Professorship of Manufacturing – Innovative Manufacturing
Promovierende*r, Professorship of Manufacturing – Innovative Manufacturing

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Vita

since 06/2023 Research associate - Professorship of Manufacturing (IPTS)

10/2022 Master of Science General Mechanical Engineering with focus on Simulation Technology at RWTH Aachen University

09/2020 Bachelor of Science Mechanical Engineering with focus on Aeronautical Engineering at RWTH Aachen University

RESEARCH INTERESTS

As part of my research, I am working on developing a methodology for accelerating the design of the effective surfaces of deep drawing tools while increasing the robustness of the process. The aim is to create a foundational data set for a data-driven model that can explain the stochastic fluctuations within the manufacturing process and the effects on product quality. Fluctuations are studied in the laboratory and recorded in production and taken into account for optimizing the design of deep drawing tools. First, a basic modelling approach is developed using a cross-die geometry. For this purpose, the training data set is derived from experimental and numerical investigations. This modelling approach is then transferred to industrial geometries using process data from series production.

The project is funded by the DFG (German Research Foundation).

Projects

Publications

Journal contributions

  1. Optimizing dataset design for data-driven models of the deep drawing process using active transfer learning
    Christine Lucie Heinzel (Author) , Lea Wollschläger (Author) , Bek-Myrza Nurmatov (Author) , Jens Heger (Author) , Noomane Ben Khalifa (Author) , 01.01.2025 , in: Journal of Physics: Conference Series, 3104, 1 , 11 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  2. Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
    Lea Wollschläger (Author) , Christine Lucie Heinzel (Author) , Sebastian Thiery (Author) , Mazhar Zein El Abdine (Author) , Noomane Ben Khalifa (Author) , Jens Heger (Author) , 01.01.2024 , in: Procedia CIRP, 130 , p. 270-275 , 6 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  3. Calculation of tooth pair stiffness by finite element analysis for the multibody simulation of flexible gear pairs with helical teeth and flank modifications
    Faysal Andary (Author) , Christine Lucie Heinzel (Author) , Stefan Wischmann (Author) , Joerg Berroth (Author) , Georg Jacobs (Author) , 01.12.2023 , in: Multibody System Dynamics, 59, 4 , p. 395-428 , 34 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

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Contributions to collected editions/anthologies

  1. Study on the effects of tool design and process parameters on the robustness of deep drawing
    Christine Lucie Heinzel (Author) , Sebastian Thiery (Author) , Noomane Ben Khalifa (Author) , 01.01.2024 Millersville , p. 1488-1497 , 10 p.

    Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review

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Teaching