Experimental investigation on friction under metal cutting conditions

Puls, Hendrik; Klocke, Fritz; Lung, Dieter

doi:10.1016/j.wear.2013.12.020

Cited by 124 publications

(51 citation statements)

References 19 publications

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“…For example, Puls et al [9] proposed a velocity-dependent friction coefficient ranging from μ = 0.61 at 20 m/min to μ = 0.23 at 200 m/min, for the same tool-work material pair. The same group of authors [10] presented similar results obtained from a later experimental setup, which demonstrated that the decrease in friction coefficient with increasing sliding speed coincided with increasing temperature in the range of 450-875°C, which agrees with the tribometer results presented earlier (Fig. 3).…”

Section: Validity Of the Friction Datasupporting

confidence: 88%

“…3). The experimental setups used in [9] and [10] involve essentially a highly negative rake angle tool that ploughs through work material. That the heavy-load, high- temperature tribometer presented in this paper can yield such similar friction data to these tests only adds validity to the use of its temperature-dependent friction data in cutting simulations.…”

Section: Validity Of the Friction Datamentioning

confidence: 99%

“…The limitation in these and many other studies is the lack of empirical friction data available to guide the numerical assignment of parameters in the models, especially in exploring different cutting conditions. Some have attempted a more empirical approach to establishing tool-chip friction models, devising test methods that approximate the extreme contact conditions found in metal cutting [7][8][9][10]. However, these all entail subsequent FE modeling of the friction test itself and considerable numerical treatment in order to identify a physically meaningful friction model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved prediction of cutting forces via finite element simulations using novel heavy-load, high-temperature tribometer friction data

Boyd

Hosseinkhani

Veldhuis

et al. 2016

Int J Adv Manuf Technol

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Prediction of forces in cutting operations is a valuable asset to manufacturers. This paper demonstrates the improvements in force prediction achievable in finite element simulations of orthogonal cutting with the incorporation of temperature-dependent friction data obtained from a custom heavy-load, high-temperature tribometer. The tribometer employed is briefly described and its similarities to tool-chip contact in cutting discussed. Simulations with the temperature-dependent friction data were performed over a range of uncut chip thickness, cutting speed, and tool flank wear conditions. For comparison sake, select simulations were also run using a constant friction coefficient model and all simulation results were validated against experimentally obtained force measurements. The temperature-dependent friction data simulations capture the experimental trends in force with respect to all three of the parameters investigated. For unworn tools, the simulations tend to slightly overestimate the tangential and feed force components. For worn tool profiles, the simulations predicted forces with minimal error for most scenarios, overestimating the tangential force and underestimating the feed force. Comparison of simulated temperatures with the range of those for which experimental material properties were obtained, particularly friction coefficients, is proposed as a useful check as to whether simulation results can be reasonably trusted.

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Section: Validity Of the Friction Datasupporting

confidence: 88%

Section: Validity Of the Friction Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved prediction of cutting forces via finite element simulations using novel heavy-load, high-temperature tribometer friction data

Boyd

Hosseinkhani

Veldhuis

et al. 2016

Int J Adv Manuf Technol

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show abstract

“…However, during a single rotation of the workpiece and the very short contact time, it is difficult to achieve a steady thermal state. This method was further refined by using a broaching machine [181].…”

Section: Experimental Methods For Determining the Friction Data For Mmentioning

confidence: 99%

Advances in material and friction data for modelling of metal machining

et al. 2017

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“…Due to its simplicity and its availability in all FE codes such as Abaqus [43] , the Coulomb friction model is commonly used for this application as done by Bäker [19] . Extensive studies were carried out at the tool/chip interface by Puls et al [44] which are shown a strong material adhesion at the tool tip vicinity. When moving along the rake face, a sliding motion of the chip was observed.…”

Section: Contact and Friction Modelingmentioning

confidence: 99%

Numerical and experimental investigations of Ti-6Al-4V chip generation and thermo-mechanical couplings in orthogonal cutting

Harzallah

Pottier

Senatore

et al. 2017

International Journal of Mechanical Sciences

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a b s t r a c tThe chip formation mechanism of the Ti-6Al-4V remains a challenging problem in the machining process as well as its modeling and simulation. Starting from experimental observation on the titanium alloys Ti-6Al-4V machining shows that the ductile fracture in the chip formation is dominated by the shear phenomenon under high strain rate and temperature, the present work develops a new coupled behavior and damage model for better representation and understanding of the chip formation process. The behavior and damage of Ti-6Al-4V have been studied via hat-shaped specimen under temperature up to 900 °C and strain rate up to 1000 s − 1 . An inverse identification method based on Finite Element (FE) is established in order to determine the constitutive law's parameters. The prediction of the segmented chip was analyzed through 3D finite element orthogonal cutting model which was validated by an in-situ and post-mortem orthogonal cutting machining observations. Finally, a particular attention is focused on the chip formation genesis which is described by three steps: Growth, Germination and Extraction.

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Experimental investigation on friction under metal cutting conditions

Cited by 124 publications

References 19 publications

Improved prediction of cutting forces via finite element simulations using novel heavy-load, high-temperature tribometer friction data

Improved prediction of cutting forces via finite element simulations using novel heavy-load, high-temperature tribometer friction data

Advances in material and friction data for modelling of metal machining

Numerical and experimental investigations of Ti-6Al-4V chip generation and thermo-mechanical couplings in orthogonal cutting

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