Simulation of Heat Treatment and Materials with the Use of the Abaqus Software

Yaakoubi, Mahmoud; Kchaou, Mohamed; Dammak, Fakhreddine

doi:10.1007/s11041-013-9641-5

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…7). Phase transformation kinetics is modeled by using the JMAK formalism Yaakoubi et al, 2013a). Thermo-physical properties of the material are available in Moumni et al (2011).…”

Section: Simulations and Discussionmentioning

confidence: 99%

A semi-theoretical model for transformation plasticity occurred during bainitic transformation

Yaakoubi¹,

Dammak²

2017

jtam

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This study addresses the task of predicting the transformation plasticity induced during phase transformation of the 16MND5 carbon steel from austenite to bainite under low externally applied stress using a semi-theoretical model based on the Greenwood-Johnson mechanism. Both models proposed by Leblond et al. (1989) and Taleb and Sidoroff (2003) sufficiently describe the evolution of the TRansformation Induced Plasticity (TRIP) during continuous cooling of the austenitic phase. Nevertheless, TRIP values predicted by these models underestimate measured data through the first half of the transformation and overestimate them through the second half. So, we propose in this paper a method to improve Taleb's model in order to remove discrepancies between theoretical and experimental results throughout the whole transformation and obtain a better description of experimental data.

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“…7). Phase transformation kinetics is modeled by using the JMAK formalism Yaakoubi et al, 2013a). Thermo-physical properties of the material are available in Moumni et al (2011).…”

Section: Simulations and Discussionmentioning

confidence: 99%

A semi-theoretical model for transformation plasticity occurred during bainitic transformation

Yaakoubi¹,

Dammak²

2017

jtam

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“…Simsir [ 20 ] used the stressed dilatometry technique to determine the transformation induced plasticity (TRIP) parameter of 52100 steel and investigated the effect of applied stress on phase transformations. Yaakoubi et al [ 21 , 22 ] developed the user subroutines via the ABAQUS software to analyze the metallurgical and mechanical behaviors of steels in the heat treatment such as phase fractions, hardness, and stress genesis. Lingamanaik et al [ 23 ] combined the heat treatment software DANTE with ABAQUS to promote favourable compressive residual stresses in steel by altering the quenching parameters such as heat transfer coefficients, quenching duration, and quenching locations.…”

Section: Introductionmentioning

confidence: 99%

Study on the Compressive Stress Retention in Quenched Cam of 100Cr6 Steel Based on Coupled Thermomechanical and Metallurgical Modeling

et al. 2021

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The assembled camshaft has obvious advantages in material optimization and flexible manufacturing. As the most important surface modification technique, the heat treatment process is utilized in this work to promote the desired compressive residual stress on the near-surface of the 100Cr6 steel assembled cam. The Johnson-Mehl-Avrami equation and Koistinen-Marbuger law are integrated into the ABAQUS software via user subroutines to simulate the evolution of diffusional transformation and diffusionless transformation, respectively. The linear mixture law is used for describing the coupled thermomechanical and metallurgical behaviors in the quenching of steel cam. The influences of various quenchants and the probable maximum phase volume fractions on surface residual stress or hardness are analyzed. Results show that a greater amount of martensite volume fraction and a slower martensitic transformation rate are beneficial for the compressive stress retention. Compared with the conventional quenching oil, the fast oil quenched cam surface has higher final compressive stress and hardness.

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“…There are different approaches for HTC determination as most commonly used are Lumped-heat-capacity method [1][2][3][4][5][6] and Temperature gradient method [5][6][7][8][9][10][11][12][13][14][15]. A feature of these methods is the need for initial information about how the temperature changes with time at one or several points in the bulk of the object being cooled.…”

Section: Introductionmentioning

confidence: 99%

Influence of Heat Transfer Coefficient on Quenching Processes Simulation

Danev

Gospodinov

Radev

et al. 2020

METAL 2020 Conference Proeedings

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Currently, heat treatment is the most common and effective method for changing the properties of metals and their alloys. Ferrous alloys most often are heat treated and the most commonly used process of heat treatment is the quenching. At quenching the final structure and material's properties are formed during the fast cooling process. Therefore, the correct choice of cooling conditions is critical for quality of quenched parts. The simulation of quenching is one of the modern approaches for researching the cooling processes. In order to obtain reliable results, the correct input data for simulation are crucial. It is commonly accepted that the heat transfer coefficient (HTC) plays most significant influence on the simulation results. Meanwhile in the specialized literature there are quite different values of HTC even at equal cooling conditions and a few data regarding its influence on the simulation results. The aim of this paper is to determine to what extent the results obtained after simulation of quenching processes are influenced by HTC. Samples of different dimensions and ratios between length and diameter (L/D), made of medium carbon steel (C45 EN 10083), were studied. Results for the influence of HTC together with geometry of the quenched parts, especially samples with different ratio length/diameter (L/D), are presented in the article.

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Simulation of Heat Treatment and Materials with the Use of the Abaqus Software

Cited by 10 publications

References 7 publications

A semi-theoretical model for transformation plasticity occurred during bainitic transformation

A semi-theoretical model for transformation plasticity occurred during bainitic transformation

Study on the Compressive Stress Retention in Quenched Cam of 100Cr6 Steel Based on Coupled Thermomechanical and Metallurgical Modeling

Influence of Heat Transfer Coefficient on Quenching Processes Simulation

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