A Speed-up Method for Numerical Simulations of Multi-strokes Cold Metallic Sheet Forming Processes

Krairi, Anouar; Marmi, Jalil; Gastebois, Sabrina; Veldhuis, Mark; Kott, Matthäus

doi:10.1016/j.promfg.2020.04.173

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…This demonstrates its effectiveness in AADD variable COF simulation. Since 2016, there is an extensive collaboration on friction modelling between Volvo cars [135][136][137][138][139][140][141][142], Mercedes-Benz cars [133,143], Ford cars [144], Renault cars [145], Opel cars [5,146], and TriboForm engineering. The involved automotive panels are Volvo's inner door, front door ringframe, A-pillar reinforcement panel, and fender, Mercedes-Benz's door-outer and front fender, Ford's hood inner panel, Renault's trunk lid inner part, and Opel's spare wheel well.…”

Section: Variable Cof Simulationmentioning

confidence: 99%

“…In 2018, Tatipala et al [2,3] analyzed the influence of lubrication performance changes on the quality of the front door inner of a Volvo XC90 based on the lubrication amount and lubrication distribution data measured in production, which improved the prediction accuracy of the part forming performance. In 2020, Veldhuis et al [4,5] studied the sensitivity of the process to temperature-induced frictional effects, and adjusted the blank holder force F H and ejection force in real time to adapt the process to the tribological system changes caused by die heating, thereby avoiding the fracture caused by the deterioration of friction conditions. Thus, building the link between the control systems based on friction models and the manufacturing technologies can realize stable process control to improve the quality of deep drawing parts and the overall production stability.…”

Section: Introductionmentioning

confidence: 99%

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Advances in friction of aluminium alloy deep drawing

Gao

Zhao

et al. 2023

Friction

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Broad use of lightweight aluminium alloy parts in automobile manufacturing, aerospace, electronic communication, and rail transit is mainly formed through deep drawing process. Deep drawing friction is a key boundary condition for controlling the forming quality of aluminium alloy parts. However, due to the oxidation and adhesion tendency of aluminium alloys, the tribological situations of aluminium alloy deep drawing (AADD) system is more complicated than those of traditional deep drawing of steel sheets. Therefore, the study of AADD friction is essential for manufacturing high-performance aluminium alloy parts. Herein, aiming to provide a valuable reference for researchers in related fields, a comprehensive review of AADD friction is provided, including friction mechanism, influencing factors, friction measurement, friction model, friction simulation, and lubrication-free friction control. Finally, a brief conclusion and several current challenges were discussed.

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Section: Variable Cof Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advances in friction of aluminium alloy deep drawing

Gao

Zhao

et al. 2023

Friction

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show abstract

“…For this purpose, an advanced thermal-mechanical coupled simulation is used, taking into account a friction model that depends on the sliding velocity, contact pressure and temperature. Detailed information on the mechanical and thermal properties as well as the contact and friction modelling of this simulation can be found in [44]. Assuming a simplified initial homogeneous temperature on the tools of 60 °C and an initial metal sheet temperature of 20 °C, rupture and necking are to be expected in the rib of the part (see Fig.…”

Section: Controllability and Compensation Strategymentioning

confidence: 99%

Methodological approach for the development of an operator assistance system for the press shop

Kott¹,

Echler

Groche

2021

Int J Adv Manuf Technol

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The productivity of a deep drawing process strongly relies on its robustness as well as the experience of the machine operator. Steadily increasing requirements regarding weight, design and efficiency lead to a production operating increasingly closer to the process limits, making it more challenging to ensure a high robustness of the process. Minimal process fluctuations caused by disturbances such as varying material properties or changing tribological conditions may negatively affect the process due to deteriorated product properties as well as an increased risk of scrap. Thus, a target-oriented adjustment of available parameters by the machine operator becomes more difficult, and an increased knowledge about the causes of defects is more important. In the past, several approaches with different combinations of sensors and actuators have been investigated to enable a stable process window based on a control system. This paper presents a method to address the need for a more robust process by developing an operator assistance system that enables the identification of the component state and provides decision support to the machine operator. The methodological approach includes a thorough process analysis to evaluate the expediency of such a system and to make a reasonable preselection of sensors in order to avoid unnecessary costs.

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Parametric investigation of the effects of variables controlling thermal characteristics during continuous and high-speed cold stamping processes with active cooling structures

Yao,

Wei

et al. 2024

Applied Thermal Engineering

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A Speed-up Method for Numerical Simulations of Multi-strokes Cold Metallic Sheet Forming Processes

Cited by 6 publications

References 9 publications

Advances in friction of aluminium alloy deep drawing

Advances in friction of aluminium alloy deep drawing

Methodological approach for the development of an operator assistance system for the press shop

Parametric investigation of the effects of variables controlling thermal characteristics during continuous and high-speed cold stamping processes with active cooling structures

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