Projects per year
Personal profile
Curriculum
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).
Keywords
- Engineering
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Research collaborations from the last five years
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Projects
- 1 Finished
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Development of a data-driven model for the evaluation and optimization of process robustness in the design of deep-drawing tools
Ben Khalifa, N. (Project manager, academic) & Heinzel, C. (Project staff)
01.04.23 → 31.03.26
Project: Research
Research output
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Optimizing dataset design for data-driven models of the deep drawing process using active transfer learning
Heinzel, C., Wollschläger, L., Nurmatov, B.-M., Heger, J. & Khalifa, N. B., 2025, In: Journal of Physics: Conference Series. 3104, 1, 11 p., 012064.Research output: Journal contributions › Conference article in journal › Research › peer-review
Open Access1 Citation (Scopus) -
Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
Wollschlaeger, L., Heinzel, C., Thiery, S., Abdine, M. Z. E., Khalifa, N. B. & Heger, J., 2024, In: Procedia CIRP. 130, p. 270-275 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
Open Access -
Study on the effects of tool design and process parameters on the robustness of deep drawing
Heinzel, C., Thiery, S. & Ben Khalifa, N., 2024, Material Forming, ESAFORM 2024: the 27th International ESAFORM Conference on Material Forming - ESAFORM 2024 - held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1488-1497 10 p. (Materials Research Proceedings; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Open Access2 Citations (Scopus) -
Calculation of tooth pair stiffness by finite element analysis for the multibody simulation of flexible gear pairs with helical teeth and flank modifications
Andary, F., Heinzel, C., Wischmann, S., Berroth, J. & Jacobs, G., 12.2023, In: Multibody System Dynamics. 59, 4, p. 395-428 34 p.Research output: Journal contributions › Journal articles › Research › peer-review
10 Citations (Scopus)