Effect of temperature and strain rate on the compressive deformation behavior of 42CrMo steel

Lin, Yingying; Chen, Mingsong; Zhong, Jue

doi:10.1016/j.jmatprotec.2007.11.113

Cited by 187 publications

(75 citation statements)

References 17 publications

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“…the rapid decrease of flow stress due to DRX and high dislocation annihilation followed by a steady state flow stress are less discrete as DRV becomes the principal phenomenon. The same work 15 notes that the alloy's flow stress is greatly influenced by test temperature and strain rate.…”

mentioning

confidence: 97%

Thermomechanical deformation behaviour of DH36 steel during friction stir welding by experimental validation and modelling

Toumpis

Galloway

Arbaoui

et al. 2014

Science and Technology of Welding and Joining

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Friction stir welding is a solid state thermo-mechanical deformation process from which the plasticisation behaviour of the stirred material can be evaluated through the study of flow stress evolution. Flow stress data also supporting the development of a local microstructural numerical model have been generated. Hot compression testing of DH36 steel has been performed at a temperature range of 700 o C1100 o C and strain rates from 10 -3 s -1 to 10 2 s -1 to study the alloys thermo-mechanical deformation behaviour in conditions which simulate the actual friction stir welding process. It has been found that the evolution of flow stress is significantly affected by the test temperature and deformation rate. The materials constitutive equation and constants have been calculated after analysis of these data. Preliminary numerical analysis results are in good agreement with experimental observations.

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mentioning

confidence: 97%

Thermomechanical deformation behaviour of DH36 steel during friction stir welding by experimental validation and modelling

Toumpis

Galloway

Arbaoui

et al. 2014

Science and Technology of Welding and Joining

View full text Add to dashboard Cite

show abstract

“…Já para o tempo máximo de manutenção nas temperaturas, 200 minutos, houve expressivas quedas na força necessária à conformação, sendo 90,2, 81,3, 53,3 e 38,8 kN para as temperaturas de 900, 1000, 1100 e 1200ºC. Como frequentemente encontrado na literatura 5,7,8 , esses resultados remetem que a redução necessária à conformação é resultado da redução da tensão de escoamento, kf , do material que é função dependente da temperatura, além, da deformação verdadeira e velocidade de deformação condições de deformação a quente. A influência do fator tempo em que as peças foram mantidas nas referidas temperaturas dá-se pelo aumento do grão austenítico.…”

Section: Ensaio Mecânico De Compressãounclassified

Estudo Da Influência Da Temperatura De Austenitização E De Resfriamento Sobre a Microestrutura E Dureza Do Aço Abnt 4140 Forjado a Quente

Rosiak¹,

Costa²,

Brito³

et al. 2017

Anais Do Enemet - Encontro Nacional De Estudantes De Engenharia Metalúrgica, De Materiais E De Minas

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ResumoNo processo de forjamento a quente, devido aos ciclos térmicos e mecânicos a que o material é submetido, diversos fatores influenciam e ampliam a gama de propriedades mecânicas que podem ser obtidas nas peças metálicas produtos deste processo. A proposta deste artigo é estudar a influência dos fatores tempo de austenitização, temperatura e deformação sobre a variação da dureza do aço ABNT 4140. Para isso, o material foi mantido em diferentes temperaturas, durante diferentes períodos de tempo e, posteriormente, forjado e tratado termicamente em patamares semelhantes aos de recozimento direto e revenimento. Esta pesquisa corresponde a uma das etapas do projeto BRAGECRIM (Iniciativa Brasil-Alemanha para Pesquisa Colaborativa em Tecnologia de Manufatura). Palavras-chave: Propriedades mecânicas; Temperatura de austenitização; Deformação; Aço ABNT 4140. STUDY OF INFLUENCE OF AUSTENITIZATION TEMPERATURE AND COOLING ON THE MICROSTRUCTURE AND HARDNESS OF A HOT FORGED ABNT 4140 STEEL AbstractIn hot forging, several parameters influence and increase the range of mechanical properties that can be obtained in metallic parts due to thermo-mechanical cycling that the material is subjected. The goal of this paper is studying the influence of the austenitization time, temperature, and deformation on the hardness of an ABNT 4140 steel. The material was maintained at different temperatures for different times, forged and heat treated in similar conditions to the annealing and tempering treatments. This research corresponds to one step of BRAGECRIM project (BrazilGermany Initiative for Collaborative Research in Manufacturing Technology).

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“…However, strain shows a significant effect on flow behaviors of magnesium alloy, thus the compensation of strain should be considered. Lin et al 45,46 presented a modified hyperbolic sine constitutive equation, in which the hot forming parameters (such as Q, n, a, and A) as functions of strain were incorporated in the improved the Arrhenius-type constitutive equation. Quan et al 22 calculated a series of coefficients (Q, n, A, and a) shown in Table 2 …”

Section: Existing Improved Arrhenius-type Constitutive Model For Az80mentioning

confidence: 99%

Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

et al. 2015

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Hot compressions of as-cast AZ80 magnesium alloy in a wide temperature range of 523-673 K and strain rate range of 0.01-10 s -1 with a height reduction of 60% were conducted by a Gleeble-1500 thermo-mechanical test simulator. The hot flow behaviors show highly non-linear intrinsic relationships with temperature, strain and strain rate. In order to model the complicated flow behaviors, error back-propagation algorithm, a representative method to minimize the target error, was selected to train the artificial neural network. A comparative study was made on the predictabilities of the improved Arrhenius-type and BP-ANN model by using two standard statistical parameters including correlation coefficient (R) and average absolute relative error (AARE). Comparison results show that the well-trained BP-ANN has higher prediction accuracy. Three highlight applications were presented. Firstly, the strain-stress data volume was expanded by BP-ANN predictions above experimental conditions. Secondly, the expanded data were applied in the simulations of isothermal compressions, and high simulation accuracy for the load-stroke curve was achieved. Thirdly, a three-dimensional (3D) interaction space of stress, strain, temperature and strain rate was constructed based on the intensive data, which supplies the stress data to arbitrary temperature, strain rate, and strain.

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Effect of temperature and strain rate on the compressive deformation behavior of 42CrMo steel

Cited by 187 publications

References 17 publications

Thermomechanical deformation behaviour of DH36 steel during friction stir welding by experimental validation and modelling

Thermomechanical deformation behaviour of DH36 steel during friction stir welding by experimental validation and modelling

Estudo Da Influência Da Temperatura De Austenitização E De Resfriamento Sobre a Microestrutura E Dureza Do Aço Abnt 4140 Forjado a Quente

Modelling the Hot Flow Behaviors of AZ80 Alloy by BP-ANN and the Applications in Accuracy Improvement of Computations

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