Orthogonal Cutting Simulation of OFHC Copper Using a New Constitutive Model Considering the State of Stress and the Microstructure Effects

Denguir, Lamice; Outeiro, José; Fromentin, Guillaume; Vignal, V.; Besnard, Rémy

doi:10.1016/j.procir.2016.03.208

Cited by 20 publications

(5 citation statements)

References 10 publications

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“…Nevertheless, they are an important advancement since they intrinsically permit the simulation of microstructure and mechanical properties (e.g. hardness [145], residual stress [66]) of the machined surface, and, in addition, they can more accurately describe the material response to loading outside the model calibration range.…”

Section: Model Pros and Consmentioning

confidence: 99%

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Advances in material and friction data for modelling of metal machining

et al. 2017

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Section: Model Pros and Consmentioning

confidence: 99%

“…Zerilli-Armstrong (Z-A) [232]: [66] integrated the effects of the state of stress and dynamic recrystallization in the J-C model to simulate the machined surface integrity in orthogonal cutting of OFHC copper.…”

Section: Modelmentioning

confidence: 99%

Advances in material and friction data for modelling of metal machining

et al. 2017

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“…Instead of using the classic Johnson-Cook equation, it would also be possible to apply the modified equations developed in the last years (see e.g. [49], [50], [51]).…”

Section: Methodology For Identifying Thermal Propertiesmentioning

confidence: 99%

Determination of thermal material properties for the numerical simulation of cutting processes

Storchak

Stehle

Möhring

2021

Int J Adv Manuf Technol

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Thermal properties of work materials, which depend significantly on the change in cutting temperature, have a considerable effect on thermal machining characteristics. Therefore, the thermal properties used for the numerical simulation of the cutting process should be determined depending on the cutting temperature. To determine the thermal properties of the work materials, a methodology and a software-implemented algorithm were developed for their calculation. This methodology is based on analytical models for the determination of tangential stress in the primary cutting zone. Based on this stress and experimentally or analytically determined cutting temperatures, thermal properties of the work material were calculated, namely the coefficient of the heat capacity as well as the coefficient of thermal conductivity. Three variants were provided for determining the tangential stress: based on the normal stress calculated using the Johnson-Cook constitutive equation, based on the experimentally determined cutting and thrust forces as well as by directly calculating the tangential stress. The thermal properties were determined using the example of three different materials: AISI 1045 and AISI 4140 steel as well as Ti10V2Fe3Al titanium alloy (Ti-1023). With the developed FE cutting model, the deviation between experimental and simulated temperature values ranged from approx. 7.5% to 14.4%.

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“…It equates flow stress to the current strain, strain rate and temperature state of the metal. It remains the most commonly used model in finite element simulations of annealed copper chip formation, either without alteration and with the originally determined coefficients [25] or with further developments but keeping the original coefficients, for example for the prediction of strain, strain rate and temperature distributions that are input to further simulations of micro-structural change [26,37]; or to model the deformation within individual grains of a multi-grain material model [16,38,39]; or with the addition of a failure law and modification to include strain softening, and determining new coefficients by calibration [40].…”

Section: Modelling and Simulationmentioning

confidence: 99%