Temperature Dependent Friction Modelling: The Influence of Temperature on Product Quality

Waanders, Daan; Hazrati, Javad; Kott, Matthäus; Gastebois, Sabrina; Hol, J.

doi:10.1016/j.promfg.2020.04.159

Cited by 14 publications

(7 citation statements)

References 6 publications

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“…Several authors, including Sigvent et al [1] and Hol et al [2], have outlined the importance of dynamic friction models (dependent on pressure, velocity and straining) and the coating on the material. An addition to the discussion on tribology recently raised by Waanders et al [3] and Kott et al [4] is the impact of temperature increases on friction behaviour during running production.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Temperature Impact on Friction Conditions in Running Production of Automotive Body Components

Barlo,

Sigvant,

Pilthammar

2024

IOP Conf. Ser.: Mater. Sci. Eng.

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During the running production of automotive body components drifts in the process window is seen causing problems with non-conforming parts. Up until now, these drifts have been counter-acted based on the knowledge and experience of the press line operators. This experience-based process control will however become more troublesome in the future as recycled material grades will undoubtedly present larger in-coil variations in material parameters and effect also the friction conditions from component to component. The following study will present two cases from production of the Volvo XC60. For the two cases, the initial simulations made for the components showed a safe part, but during running production failure occurred suspected to be due to temperature effects in the tribology system. The study will furthermore present updated simulations considering developing thermal effects to replicate the failures, as well as present both standard and thermal simulations of the adjustments made in production.

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Section: Introductionmentioning

confidence: 99%

Investigation of Temperature Impact on Friction Conditions in Running Production of Automotive Body Components

Barlo,

Sigvant,

Pilthammar

2024

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Friction is a complex function of, above all, normal pressures [7,8], lubrication conditions [9], load type (static or dynamic load) [10], sliding speed [11], material combination of the friction pair [12], tool coating [13], temperature [14], and surface roughness and topography both of the tool and the sheet metal [15]. The phenomenon of friction in the blankholder zone is experimentally modelled using the strip drawing test [16] with different tool geometries: flat/flat, cylinder/cylinder, and flat/cylinder.…”

Section: Introductionmentioning

confidence: 99%

An Investigation into the Friction of Cold-Rolled Low-Carbon DC06 Steel Sheets in Sheet Metal Forming Using Radial Basis Function Neural Networks

Trzepieciński,

Szwajka,

Szewczyk

2023

Applied Sciences

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This article presents the friction test results for cold-rolled low-carbon DC06 steel sheets, which are commonly processed into finished products using sheet metal forming methods. A strip drawing test with flat dies was used in the experimental tests. The strip-drawing test is used to model the friction phenomena in the flange area of the drawpiece. The tests were carried out using a tester that enabled lubrication with a pressurised lubricant. The friction tests were carried out at different nominal pressures, oil pressures, and friction conditions (dry friction and oil lubrication). Oils destined for deep-drawing operations were used as lubricants. Neural networks with radial base functions (RBFs) were used to explore the influence of individual friction parameters on the value of the coefficient of friction (COF). Under lubrication with both oils considered, the value of the COF increased with decreasing oil pressure. This confirms the correctness of the concept of the device for reducing friction in the flange area of the drawpiece. The developed concept of pressurised lubrication is most effective at relatively small nominal pressures of 2–4 MPa. This range of nominal pressures corresponds to the actual nip pressures when forming deep-drawing steel sheets. Under conditions of dry friction, the values obtained for the COF rise above 0.3, while under lubrication conditions, even without pressure-assisted lubrication, the COF does not exceed 0.2. As the nominal pressure increases, the effectiveness of the lubrication exponentially decreases. It was found that the Sq parameter carries the most information regarding the value of the COF. The RBF neural network with nine neurons in the hidden layer (RBF-8-9-1) and containing the Sq parameter as the input was characterised by an R2 of 0.989 and an error of 0.000292 for the testing set.

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“…Recent industrial studies have proven that accuracy of numerical results increases when these new models are used [14][15][16][17]. Recently, studies have been published where temperature-dependent friction laws have been used in order to capture the heating up of the tools until the steady state production run is established [18,19]. Anyhow, none of these friction laws have been employed in tube hydroforming process modeling and their effect is unknown for the tribological conditions that are present in hydroforming (high contact pressures, variable sliding velocities and large surface expansions).…”

Section: Introductionmentioning

confidence: 99%

Friction Modelling for Tube Hydroforming Processes—A Numerical and Experimental Study with Different Viscosity Lubricants

et al. 2022

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The final quality of sheet and tube metal–formed components strongly depends on the tribology and friction conditions between the tools and the material to be formed. Furthermore, it has been recently demonstrated that friction is the numerical input parameter that has the biggest effect in the numerical models used for feasibility studies and process design. For these reasons, industrial dedicated software packages have introduced friction laws which are dependent on sliding velocity, contact pressure and sometimes strain suffered by the sheet, and currently, temperature dependency is being implemented as it has also a major effect on friction. In this work, three lubricants having different viscosity have been characterized using the tube-sliding test. The final aim of the study is to fit friction laws that are contact pressure and sliding velocity dependent for their use in tube hydroforming modeling. The tests performed at various contact pressures and velocities have demonstrated that viscosity has a major effect on friction. Experimental hydroforming tests using the three different lubricants have corroborated the importance of the lubricant in the final forming of a triangular shape. The measurement of the axial forces and the final principal strains of the formed tubes have shown the importance of using advanced friction laws to properly model the hydroforming process using the finite element modeling.

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Temperature Dependent Friction Modelling: The Influence of Temperature on Product Quality

Cited by 14 publications

References 6 publications

Investigation of Temperature Impact on Friction Conditions in Running Production of Automotive Body Components

Investigation of Temperature Impact on Friction Conditions in Running Production of Automotive Body Components

An Investigation into the Friction of Cold-Rolled Low-Carbon DC06 Steel Sheets in Sheet Metal Forming Using Radial Basis Function Neural Networks

Friction Modelling for Tube Hydroforming Processes—A Numerical and Experimental Study with Different Viscosity Lubricants

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