Testing and Modelling of Material Response to Deformation in Bulk Metal Forming

Bariani, Paolo Francesco; Negro, T. Dal; Bruschi, Stefania

doi:10.1016/s0007-8506(07)60030-4

Cited by 78 publications

(42 citation statements)

References 95 publications

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“…These parameters are usually identified from experimental data obtained from mechanical [111] and/or machining tests [172]. Different methods, including direct and inverse methods, can be used to identify the model parameters [28].…”

Section: Identification Of Constitutive Model Parametersmentioning

confidence: 99%

“…For complex constitutive models with many parameters, the inverse method, which utilizes optimization-based approaches, is the best solution for identifying the model parameters. The inverse method consists of simulating the experimental test by modifying the constitutive model parameters iteratively to minimize the difference between the predicted and measured data [28]. Several optimization-based methods (see Table 3) can be used for this purpose [45,222].…”

Section: Identification Of Constitutive Model Parametersmentioning

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: Identification Of Constitutive Model Parametersmentioning

confidence: 99%

Section: Identification Of Constitutive Model Parametersmentioning

confidence: 99%

Advances in material and friction data for modelling of metal machining

et al. 2017

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“…Because of the difficulties and complexity of the numerical scheme, the practical application of this kind of consistent model to industrial processes is not always promoted, as was discussed by Bariani and co-workers, 28) particularly by forming scientists and engineers. More sophisticated software, built on the CAD platform, for predicting the microstructure and macroscopic deformation in industrial hot forming processes should be realized.…”

Section: Resultsmentioning

confidence: 99%

Numerical Analysis for the Prediction of Microstructure after Hot Forming of Structural Metals

2009

Mater. Trans.

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The importance of structural metals for industrial applications is based on their superior combination of mechanical properties-strength, elongation, toughness and corrosion resistance-achieved at the end of forming processes. A numerical analysis for the prediction of microstructure is strongly required for the optimization of hot forming process parameters, because the microstructure of structural metals, which has the significant effects on mechanical properties, is strongly dependent to forming process conditions as well as the chemical composition. The incremental dislocation density and microstructural evolution analysis method enables the prediction of the change in microstructure after forming. The outline of the analytical scheme is explained briefly, and the results of its application to strip rolling, bar rolling and shape rolling are presented. Finally, the remaining research topics in this field are discussed.

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“…2, which consists into an identification of the initial values of the model coefficients using a direct method, followed by the application of an optimization-based indirect method to identify the final values of the coefficients. So, the direct method is used only to identify the initial values of the coefficient, which will be used in the optimization-based method to improve its convergence ( Bariani et al 2004). …”

Section: Identification Of the Plasticity Constitutive Model's Coeffimentioning

confidence: 99%

A physical-based constitutive model for surface integrity prediction in machining of OFHC copper

Denguir

Outeiro

Fromentin

et al. 2017

Journal of Materials Processing Technology

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A R T I C L E I N F O A B S T R A C T Keywords:Constitutive Model; OFHC Copper; Orthogonal Cutting; Modelling; Surface Integrity.Due to the rising interest in predicting machined surface integrity and sustainability, various models for metal cutting simulation have been developed. However, their accuracy depends deeply on the physical description of the machining process. This study aims to develop an orthogonal cutting model for surface integrity prediction, which includes a physical-based constitutive model of Oxygen Free High Conductivity (OFHC) copper. This constitutive model incorporates the effects of the state of stress and microstructure on the work material behavior, as well as a dislocation density-based model for surface integrity prediction. The coefficients of the constitutive model were identified through a hybrid experimental/numerical approach, consisting in mechanical tests, numerical simulations and an optimization-based algorithm. The orthogonal cutting model was simulated by FEM, using ALE formulation, and was validated by comparing predicted and measured results, including residual stresses, dislocation density and grain size. The model is then used to analyze the influence of the cutting parameters and cutting geometry on surface integrity, and its results are compared to those obtained by the Johnson-Cook model.

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Testing and Modelling of Material Response to Deformation in Bulk Metal Forming

Cited by 78 publications

References 95 publications

Advances in material and friction data for modelling of metal machining

Advances in material and friction data for modelling of metal machining

Numerical Analysis for the Prediction of Microstructure after Hot Forming of Structural Metals

A physical-based constitutive model for surface integrity prediction in machining of OFHC copper

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