Christine Heinzel, M.Sc.
Doctoral candidate, Professorship of Manufacturing – Innovative Manufacturing
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
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Entwicklung eines datengetriebenen Modells zur Bewertung und Optimierung der Prozessrobustheit bei der Wirkflächenauslegung von Tiefziehwerkzeugen
Noomane Ben Khalifa (Project manager, academic) , Christine Heinzel (Project staff)
→Project: Research
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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
Noomane Ben Khalifa (Project manager, academic) , Christine Heinzel (Project staff)
→Project: Research
Publications
Journal contributions
- Optimizing dataset design for data-driven models of the deep drawing process using active transfer learning
Bek-Myrza Nurmatov (Author) , Jens Heger (Author) , Noomane Ben Khalifa (Author) , Christine Heinzel (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
- Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
Noomane Ben Khalifa (Author) , Jens Heger (Author) , Christine Heinzel (Author) , Sebastian Thiery (Author) , Mazhar Zein El Abdine (Author) , 01.01.2024 , in: Procedia CIRP, 130 , p. 270-275 , 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- 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) , Stefan Wischmann (Author) , Joerg Berroth (Author) , Georg Jacobs (Author) , Christine Heinzel (Author) , 01.12.2023 , in: Multibody System Dynamics, 59, 4 , p. 395-428 , 34 p.Research output: Journal contributions › Journal articles › Research › peer-review
Contributions to collected editions/anthologies
- Study on the effects of tool design and process parameters on the robustness of deep drawing
Noomane Ben Khalifa (Author) , Christine Heinzel (Author) , Sebastian Thiery (Author) , 01.01.2024 Millersville , p. 1488-1497 , 10 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review