Bake hardening behavior of TRIP and DP steels

Zhang, Jicheng; Fu, Ren-yu; Zhang, Mei; Liu, Rendong; Wei, Xicheng; Li, Lin

doi:10.1016/s1005-8850(08)60026-2

Cited by 29 publications

(22 citation statements)

References 24 publications

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“…The set of data useful for defining the training and the testing of each neural model were collected considering a wide experimental campaign, previously conducted, to highlight the influence of the IA and IBT operating parameters on the UTS and the BH properties of TRIP steel (Barcellona et al [16,17]). In order to enlarge the training and the test data set, experimental results also derived from literature data have been considered (Zhang et al [18], Timokhina et al [19], Wang et al [20], Pereloma et al [21], Kvačkaj and Mamuzić [22]). In order to highlight the trend of performance data at the varying of the number of the hidden neurons, eight neural networks differing in the number of the hidden neurons have been displayed in their training and testing phases.…”

Section: Model Application and Resultsmentioning

confidence: 99%

ANN Model to predict the bake hardenability of Transformation-Induced Plasticity steels

Palmeri

Riccobono

2009

Computational Methods and Experiments in Materials Characterisation IV

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Neural networks are useful tools for optimizing material properties, considering the material's microstructure and therefore the thermal treatments it has undergone. In this research an artificial neural network (ANN) with a Bayesian framework able to predict the bake hardening and the mechanical properties of the Transformation-Induced-Plasticity (TRIP) steels was designed. The forecast ability of the ANN model is achieved taking into account the operating parameters involved in the Intercritical Annealing (IA), in the Isothermal Bainite Treatment (IBT) and also considering the different prestrain values and the volume fraction of the retained austenite before the Bake Hardening (BH) treatment. This approach allowed one to overcome the need to know the metallurgical rules that describe all the active phenomena in multiphase steels. The neural network approach allowed one to overcome the lack of prediction capability in the existing numerical models.

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Section: Model Application and Resultsmentioning

confidence: 99%

ANN Model to predict the bake hardenability of Transformation-Induced Plasticity steels

Palmeri

Riccobono

2009

Computational Methods and Experiments in Materials Characterisation IV

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“…O efeito BH é uma difusão controlada que resulta da migração de átomos de carbono e nitrogênio em solução na rede para as discordâncias, formando a Atmosfera Cottrel. A formação destas atmosferas faz com que a tensão necessária para causar novamente a deformação plástica aumente, resultando em ganhos no limite de escoamento que podem variar entre 30 e 40 MPa [5]. Com isso, será necessária a aplicação de uma tensão maior para fazer que a discordância se livre da atmosfera ou se mova junto com os átomos.…”

Section: Características Dos Aços Bhunclassified

“…A difusão desses átomos é função do tempo, da temperatura e da quantidade de átomos em solução presente no material. O tamanho de grão e densidade de discordâncias também pode influenciar nesse processo [5]. Entre os aços mais empregados pela indústria automotiva, o BH se situa em uma faixa aproximada de limite de resistência de 200 a 350 MPa (antes de estampagem e pintura) e alongamento de 30 a 40%, situando-o em uma faixa de aços de alta ductilidade, mas de baixa a média resistência [6].…”

Section: Características Dos Aços Bhunclassified

Análise Das Propriedades Mecânicas Do Aço Bh 180

Faria¹,

Xavier²,

César³

et al. 2017

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

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ResumoA corrida pela alta produtividade, a demanda pela otimização de processos, que proporciona maior economia de combustível, impulsiona o desenvolvimento de estruturas veiculares de menor peso. O aço Bake Hardening (BH) é um aço de ultra baixo carbono estabilizado ao titânio, que apresenta átomos de carbono em solução sólida ocupando posições intersticiais. Este passa por um tratamento realizado durante o trabalho de pintura do veículo, permitindo que as chapas sejam endurecidas pelo efeito BH, conferindo resistência à endentação. Neste estudo um aço BH foi analisado em quatro condições de processo: laminação a quente, laminação a frio, recozimento e encruamento, com o objetivo de estudar os efeitos da variação destes parâmetros nas propriedades mecânicas do material, através dos ensaios de tração, obtendo resultados como valor de alongamento adquirido e dureza. Palavras-chave: Bake hardening; Estruturas veiculares; Propriedades Mecânicas. ANALYSIS OF MECHANICAL PROPERTIES OF STEEL BH 180 AbstractThe race for high productivity, the demand for process optimization, providing improved fuel economy, drives the development of vehicle structures of lower weight. The Bake hardening steel (BH) and an ultra low carbon steel stabilized titanium, which has carbon atoms in solid solution occupying interstitial positions. This undergoes a treatment carried out during the vehicle paint job, allowing the plates are hardened by BH effect conferring resistance to indentation. In this study, a steel BH was analyzed in four process conditions: hot rolling, cold rolling, annealing and hardening, in order to study the effects of varying these parameters on the mechanical properties of the material, through tensile tests, obtaining results for granted elongation value and hardness.

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“…Such an approach is desirable, because it yields to improvement of the mechanical properties due to the wide range of properties that are derived from refined microstructures since its constituents range within submicron to nanoscale. In parallel, no need exists for heavily alloyed materials and excessively long or complex (two, three or four step) heat treatments [6,7]. Additionally, ultrafast heating is interesting for welding processes, as similar heat cycles are a common ground.…”

Section: Introductionmentioning

confidence: 99%

Ultrafast Heating and Initial Microstructure Effect on Phase Transformation Evolution of a CrMo Steel

Papaefthymiou

Karamitros

Bouzouni

2019

Metals

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Main target of the present work is to elucidate the effect of both initial microstructure and heating rate on phase transformations that occur during ultrafast processing. For this purpose, two initial microstructures, a ferritic-pearlitic and a soft-annealed microstructure were considered. We applied different heating rates (10 °C/s, 200 °C/s, 300 °C/s) up to the peak austenitization temperature, θ ≅ 900 °C. The evolving microstructure is analysed via SEM and EBSD, whereas the carbide dissolution and austenite formation is simulated with Thermocalc® and DICTRA software. Data obtained in this research proves that, when the heating rate increases, the carbide dissolution rate is disseminated. Compared to a conventional heating rate, where the local chemical composition homogenizes as a result of diffusion, rapid reheating leads to intense segregation of the substitutional atoms at the cementite/austenite interface and turns diffusion to a sluggish process. This fact, combined to the infinitesimal time for diffusion, forms an inhomogeneous carbon distribution along the microstructure. This inhomogeneity is further enhanced by the presence of increased carbides’ size present in the initial microstructure. Due to rapid heating, these carbides cannot be decomposed since the diffusion distance of alloying elements increases and the diffusion of alloying elements is impeded during ultrafast heating, thus, remain undissolved at peak austenitization temperature. Their presence and effect in heterogeneous ferrite nucleation restrict austenite grain growth. Consequently, fine austenite grains in conjunction with their chemical heterogeneity lead to the coexistence of fine martensite, bainite laths and undissolved carbides in the final microstructure after quenching.

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Bake hardening behavior of TRIP and DP steels

Cited by 29 publications

References 24 publications

ANN Model to predict the bake hardenability of Transformation-Induced Plasticity steels

ANN Model to predict the bake hardenability of Transformation-Induced Plasticity steels

Análise Das Propriedades Mecânicas Do Aço Bh 180

Ultrafast Heating and Initial Microstructure Effect on Phase Transformation Evolution of a CrMo Steel

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