Tool-based inverse determination of material model of Direct Aged Alloy 718 for FEM cutting simulation

Klocke, Fritz; Döbbeler, Benjamin; Peng, Bingxiao; Schneider, Sebastian

doi:10.1016/j.procir.2018.08.211

Cited by 18 publications

(7 citation statements)

References 1 publication

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“…Each simulation is conducted for a time interval that is defined as the time needed for the stress and temperature values to reach an equilibrium stage, at which no variation and no increment at these measures is observed. The use of this assumption has been verified by the evolution of these measures in time as well as by Klocke et al 33 This process of sequential simulations and the corresponding timing is shown in Figure 3; the evolving measure can be either temperature or stress level, δt refers to simulation time, t denotes actual time, and the red dotted curve corresponds to the tool wear level.…”

Section: Methodsmentioning

confidence: 66%

Indirect online tool wear monitoring and model-based identification of process-related signal

Stavropoulos

Papacharalampopoulos

Souflas

2014

Advances in Mechanical Engineering

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Tool wear monitoring using vibrations is a complex task, due to various simultaneously occurring vibration sources and due to distortion of the signals acquired. This work investigates the mechanism by which tool wear information is concealed within acquired process-intrinsic vibration signals. Excluding other sources of vibration, such as machine-related, is attempted utilizing process simulations. As a case study, face milling is performed for three different cutting speeds. At first, the resulted simulated wear curves have been compared with experimental ones resulted under the same cutting conditions. Then, a quantification of the effect of tool wear on the acquired signals is presented.

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Section: Methodsmentioning

confidence: 66%

Indirect online tool wear monitoring and model-based identification of process-related signal

Stavropoulos

Papacharalampopoulos

Souflas

2014

Advances in Mechanical Engineering

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“…A temperaturedependent friction coefficient model was established in which the friction coefficient was regarded as a function of the rake face's average cutting temperature [80]. The modified model further considered the softening effect resulting from the increase in cutting temperature [81]. The statistical fitting method was also adopted to establish the change law of the friction coefficient with various cutting parameters.…”

Section: Moufki Andmentioning

confidence: 99%

Friction behaviors in the metal cutting process: state of the art and future perspectives

Liang

Wang

et al. 2022

Int. J. Extrem. Manuf.

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Material removal in the cutting process is regarded as a friction system with multiple input and output variables. The complexity of cutting friction system is caused by the extreme conditions existing on the tool-chip and tool-workpiece interfaces. The key issue is extremely important to use knowledge of cutting friction behaviors to guide researchers and industrial manufacturing engineers in designing reasonable cutting processes to reduce tool wear and improve surface quality. This review focuses on the state of the art of research on friction behaviors in cutting processes as well as future perspectives. First, the cutting friction phenomena under extreme conditions, such as high temperature, large strain/strain rates, sticking-sliding contact states, and diverse cutting conditions are analyzed. Second, the theoretical models of cutting friction behaviors and the application of simulation technology are discussed. Third, the factors that affect friction behaviors are analyzed including material matching, cutting parameters, lubrication/cooling conditions, micro/nano surface textures and tool coatings. Then, the consequences of the cutting friction phenomena including tool wear patterns, tool life, chip formation, and the machined surface are analyzed. Finally, the research limitations and future work for cutting friction behaviors are discussed. This review contributes to the understanding of cutting friction behaviors and the development of high-quality cutting technology.

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“…Parameters for the Johnson-Cook constitutive and damage models for Inconel 718 [39]. on every node at the end of the wedge cavity is obtained as a function of the cutting width, y, by fitting the discrete values with a second order polynomial expression (Fig.…”

Section: Tablementioning

confidence: 99%

On modelling coolant penetration into the microchannels at the tool-workpiece interface

Wei

Robles-Linares

Liao

et al. 2022

Journal of Manufacturing Processes

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Tool-based inverse determination of material model of Direct Aged Alloy 718 for FEM cutting simulation

Cited by 18 publications

References 1 publication

Indirect online tool wear monitoring and model-based identification of process-related signal

Indirect online tool wear monitoring and model-based identification of process-related signal

Friction behaviors in the metal cutting process: state of the art and future perspectives

On modelling coolant penetration into the microchannels at the tool-workpiece interface

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