Investigation of the tribological behavior of car body parts in series production

Hansen, Bertel; Purr, S.; Meinhardt, Josef; Merklein, Marion

doi:10.1016/j.promfg.2018.12.043

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The strip drawing test results (Figure 7a-c) were in agreement with the state of the art. The CoF decreases with increasing sliding velocity [4,13,33,34] and with increasing contact pressure [5,6]. As observed in Figure 7, the trend of CoF decreasing with contact pressure was more pronounced from 2 to 10 MPa.…”

Section: Discussionmentioning

confidence: 62%

On the Use of Advanced Friction Models for the Simulation of an Industrial Stamping Process including the Analysis of Material and Lubricant Fluctuations

Muñiz

Trinidad

García³

et al. 2023

Lubricants

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The use of numerical simulations for tool tryout and process control is becoming increasingly prevalent. In this work, the deep drawing process of a car inner door panel of DC06 mild steel is numerically analyzed and compared with industrial process results. Five batches of DC06 material were analyzed mechanically and tribologically. Diverse tribological models were developed based on experimental strip drawing tests, where a Coefficient of Friction (CoF) was obtained as a function of contact pressure, sliding velocity, and amount of lubricant. A topography analysis was defined to compare material batches and to replicate industrial tool conditions. The simulation was fed with three tribological models: constant (CoF 0.15), Filzek pressure and velocity dependent, and TriboForm with lubrication zones. Thinning, Forming Limit Diagram (FLD) and draw-in were used as indicators for the comparison. Using the industrial tool, both FLD and draw-in were measured and compared with the numerical models. The constant model predicted the most conservative strain state and also differed most from the experimental results. The P-v-dependent and TriboForm models more accurately predicted the experimental results. This work highlights the importance of considering more complex tribological models to feed numerical simulations to yield results closer to real process conditions.

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Section: Discussionmentioning

confidence: 62%

On the Use of Advanced Friction Models for the Simulation of an Industrial Stamping Process including the Analysis of Material and Lubricant Fluctuations

Muñiz

Trinidad

García³

et al. 2023

Lubricants

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“…6-10) is significantly higher than on the left side (pos. [16][17][18][19][20] and leads to necking. Differences can also be observed between positions 3 and 13.…”

Section: Controllability and Compensation Strategymentioning

confidence: 99%

“…Recently, however, optical measurement systems have been preferred, although there is a risk of contamination by oil or dust, which may lower their operational suitability. Camera-based systems are able to capture the skid-line distance to the part flange [15] as well as the local material flow [16] and allow the measurement of the global blank draw-in [17] or at least large parts of the global blank draw-in [18]. While these systems are only able to detect the final state of the drawn part and neglect the draw-in curve, laser displacement sensors can overcome this shortcoming and may be an alternative [13].…”

Section: Introduction and State Of The Artmentioning

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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A concise overview of deep drawing in the metal forming operation

Ikumapayi

Afolalu

Kayode

et al. 2022

Materials Today: Proceedings

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Investigation of the tribological behavior of car body parts in series production

Cited by 5 publications

References 2 publications

On the Use of Advanced Friction Models for the Simulation of an Industrial Stamping Process including the Analysis of Material and Lubricant Fluctuations

On the Use of Advanced Friction Models for the Simulation of an Industrial Stamping Process including the Analysis of Material and Lubricant Fluctuations

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

A concise overview of deep drawing in the metal forming operation

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