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Study on the effects of tool design and process parameters on the robustness of deep drawing

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

Standard

Study on the effects of tool design and process parameters on the robustness of deep drawing. / Heinzel, Christine; Thiery, Sebastian; Ben Khalifa, Noomane.
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. ed. / Anna Carla Araujo; Arthur Cantarel; France Chabert; Adrian Korycki; Philippe Olivier; Fabrice Schmidt. Millersville: MaterialsResearchForum LLC, 2024. p. 1488-1497 (Materials Research Proceedings; Vol. 41).

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

Harvard

Heinzel, C, Thiery, S & Ben Khalifa, N 2024, Study on the effects of tool design and process parameters on the robustness of deep drawing. in AC Araujo, A Cantarel, F Chabert, A Korycki, P Olivier & F Schmidt (eds), 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. Materials Research Proceedings, vol. 41, MaterialsResearchForum LLC, Millersville, pp. 1488-1497, 27th International ESAFORM Conference on Material Forming - ESAFORM 2024, Toulouse, France, 24.04.24. https://doi.org/10.21741/9781644903131-165

APA

Heinzel, C., Thiery, S., & Ben Khalifa, N. (2024). Study on the effects of tool design and process parameters on the robustness of deep drawing. In A. C. Araujo, A. Cantarel, F. Chabert, A. Korycki, P. Olivier, & F. Schmidt (Eds.), 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 (pp. 1488-1497). (Materials Research Proceedings; Vol. 41). MaterialsResearchForum LLC. https://doi.org/10.21741/9781644903131-165

Vancouver

Heinzel C, Thiery S, Ben Khalifa N. Study on the effects of tool design and process parameters on the robustness of deep drawing. In Araujo AC, Cantarel A, Chabert F, Korycki A, Olivier P, Schmidt F, editors, 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. Millersville: MaterialsResearchForum LLC. 2024. p. 1488-1497. (Materials Research Proceedings). doi: 10.21741/9781644903131-165

Bibtex

@inbook{2a97f7a5b0844b0f8956cd64fad30a85,
title = "Study on the effects of tool design and process parameters on the robustness of deep drawing",
abstract = "In metal forming manufacturing processes, parameter fluctuations and an incomplete understanding of the process can lead to an undesirable deviation of the product properties from the required specifications and, therefore, affect the robustness of the process. In deep drawing, defects such as cracks and wrinkling can be linked to uncertainties within the process- and tool design parameters. To investigate the combined effects of these parameters on the quality of the finished product, simulation models are used to study the effects of parameter changes on the product quality. With the purpose of studying the effects of significant process and tool design parameters on the deep drawing process, a numerical parameter study is carried out based on a modular tool which allows for an investigation of process parameter variations within an adjustable parameter range of tool radii. While the material draw-in and the maximum punch force are used as quality indicators of the deep-drawing process, it could be shown that the elongation of the absolute length of the finished part can be used as an additional indicator for material thinning when observing the effects of the punch shoulder and die shoulder radii on the process robustness.",
keywords = "Deep Drawing, Material Draw-In, Modular Tool, Robustness, Engineering",
author = "Christine Heinzel and Sebastian Thiery and {Ben Khalifa}, Noomane",
note = "Copyright {\textcopyright} 2024 by the author(s). Published under license by Materials Research Forum LLC., Millersville PA, USA ; 27th International ESAFORM Conference on Material Forming - ESAFORM 2024, ESAFORM 2024 ; Conference date: 24-04-2024 Through 26-04-2024",
year = "2024",
doi = "10.21741/9781644903131-165",
language = "English",
isbn = "9781644903131",
series = "Materials Research Proceedings",
publisher = "MaterialsResearchForum LLC",
pages = "1488--1497",
editor = "Araujo, {Anna Carla} and Arthur Cantarel and France Chabert and Adrian Korycki and Philippe Olivier and Fabrice Schmidt",
booktitle = "Material Forming, ESAFORM 2024",
address = "United States",
url = "https://esaform24.fr/",

}

RIS

TY - CHAP

T1 - Study on the effects of tool design and process parameters on the robustness of deep drawing

AU - Heinzel, Christine

AU - Thiery, Sebastian

AU - Ben Khalifa, Noomane

N1 - Conference code: 27

PY - 2024

Y1 - 2024

N2 - In metal forming manufacturing processes, parameter fluctuations and an incomplete understanding of the process can lead to an undesirable deviation of the product properties from the required specifications and, therefore, affect the robustness of the process. In deep drawing, defects such as cracks and wrinkling can be linked to uncertainties within the process- and tool design parameters. To investigate the combined effects of these parameters on the quality of the finished product, simulation models are used to study the effects of parameter changes on the product quality. With the purpose of studying the effects of significant process and tool design parameters on the deep drawing process, a numerical parameter study is carried out based on a modular tool which allows for an investigation of process parameter variations within an adjustable parameter range of tool radii. While the material draw-in and the maximum punch force are used as quality indicators of the deep-drawing process, it could be shown that the elongation of the absolute length of the finished part can be used as an additional indicator for material thinning when observing the effects of the punch shoulder and die shoulder radii on the process robustness.

AB - In metal forming manufacturing processes, parameter fluctuations and an incomplete understanding of the process can lead to an undesirable deviation of the product properties from the required specifications and, therefore, affect the robustness of the process. In deep drawing, defects such as cracks and wrinkling can be linked to uncertainties within the process- and tool design parameters. To investigate the combined effects of these parameters on the quality of the finished product, simulation models are used to study the effects of parameter changes on the product quality. With the purpose of studying the effects of significant process and tool design parameters on the deep drawing process, a numerical parameter study is carried out based on a modular tool which allows for an investigation of process parameter variations within an adjustable parameter range of tool radii. While the material draw-in and the maximum punch force are used as quality indicators of the deep-drawing process, it could be shown that the elongation of the absolute length of the finished part can be used as an additional indicator for material thinning when observing the effects of the punch shoulder and die shoulder radii on the process robustness.

KW - Deep Drawing

KW - Material Draw-In

KW - Modular Tool

KW - Robustness

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85195974421&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/f01899f8-8426-3ff2-8fa3-d1a2945b3968/

U2 - 10.21741/9781644903131-165

DO - 10.21741/9781644903131-165

M3 - Article in conference proceedings

AN - SCOPUS:85195974421

SN - 9781644903131

T3 - Materials Research Proceedings

SP - 1488

EP - 1497

BT - Material Forming, ESAFORM 2024

A2 - Araujo, Anna Carla

A2 - Cantarel, Arthur

A2 - Chabert, France

A2 - Korycki, Adrian

A2 - Olivier, Philippe

A2 - Schmidt, Fabrice

PB - MaterialsResearchForum LLC

CY - Millersville

T2 - 27th International ESAFORM Conference on Material Forming - ESAFORM 2024

Y2 - 24 April 2024 through 26 April 2024

ER -

Other publications by the same author(s)

Analysis of tailored residual stress fields of deep rolled AA2024 sheets

Lehmann, J., Pöltl, D., Esterl, F., Kashaev, N. & Ben Khalifa, N., 09.2025, In: International Journal of Material Forming. 18, 3, 12 p., 66.

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

Comparison of different machine control modes during friction extrusion of AA2024

Rana, H., Chan, C., Suhuddin, U. F. H., Ben Khalifa, N. & Klusemann, B., 2025, 28th International ESAFORM Conference on Material Forming, ESAFORM 2025. Carlone, P., Filice, L. & Umbrello, D. (eds.). Association of American Publishers, p. 772-779 8 p. (Materials Research Proceedings; vol. 54).

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

Comprehensive analysis of the forming zone and improvement of diameter reduction prediction in the dieless wire drawing process

Braatz, M., Bohlen, J. & Ben Khalifa, N., 15.04.2025, In: Journal of Manufacturing Processes. 139, p. 210-223 14 p.

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

Connecting texture development to die design in extruded flat products

Esterl, F., Nienaber, M., Bohlen, J. & Ben Khalifa, N., 31.01.2025, In: Journal of Manufacturing Processes. 134, p. 891-903 13 p.

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

Die geometry influence on the texture and microstructure development during extrusion of AZ31 and ZK60 magnesium alloy chips

Hendriok, L., Nienaber, M., Kurz, G. & Ben Khalifa, N., 01.2025, In: Materials and Design. 249, 13 p., 113545.

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

DOI

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