2021
DOI: 10.1016/j.cirpj.2020.11.007
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A novel approach to determine the velocity dependency of the friction behavior during machining by means of digital particle image velocimetry (DPIV)

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Cited by 13 publications
(9 citation statements)
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“…Furthermore, it becomes clear that the temperatures increase significantly with the increase of S α /S γ , especially for cutting edges with K < 1. The further validation of the simulated sliding velocity as well as the tool temperature in comparison to experimental results considering the adapted simulation model is presented in detail in the works of Breidenstein et al [29] and Denkena et al [30] For an accurate prediction of the resulting wear, a parameterization of the wear rate model has to be carried out for every workpiece/tool combination. Since these investigations are an absolute comparison of the wear behavior of different cutting edge microgeometries with the same workpiece/tool combination, this can be neglected.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Furthermore, it becomes clear that the temperatures increase significantly with the increase of S α /S γ , especially for cutting edges with K < 1. The further validation of the simulated sliding velocity as well as the tool temperature in comparison to experimental results considering the adapted simulation model is presented in detail in the works of Breidenstein et al [29] and Denkena et al [30] For an accurate prediction of the resulting wear, a parameterization of the wear rate model has to be carried out for every workpiece/tool combination. Since these investigations are an absolute comparison of the wear behavior of different cutting edge microgeometries with the same workpiece/tool combination, this can be neglected.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…One of the drawbacks of these experiments is the slow cutting speed used in the cutting tests (0.5 mm/s). Recently, Denkena et al 95 analyzed the tribological mechanisms in machining via high‐speed chip formation recording. They found, for different tool coating and cutting speeds (50–150 m/min), a significant influence of the sliding speed at the tool–chip interface on the friction coefficient, as shown in Figure 15.…”
Section: Dynamics Of Chip Formationmentioning
confidence: 99%
“…(A) Material velocity calculated using particle image velocimetry and (B) sliding velocities and local friction coefficients. Reproduced with permission 95 . Copyright 2021, Elsevier…”
Section: Dynamics Of Chip Formationmentioning
confidence: 99%
“…For the investigations, a planing test rig previously used for dry cutting experiments [14,15] was extended to perform experiments with MWF. To achieve high dynamic MWF pressures without long response times, an accumulator systems is used (Fig.…”
Section: Planing Test Rigmentioning
confidence: 99%