Characterization of precipitates in X12CrMoWVNbN10-1-1 steel during heat treatment

Tao, Xingang; Gu, Jianfeng; Han, Lizhan

doi:10.1016/j.jnucmat.2014.06.018

Cited by 40 publications

(15 citation statements)

References 25 publications

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“…In general, different types of precipitates can form in 9–12%Cr steel during tempering, involving M 3 C, M 2 X, MX, M 7 C 3 , M 23 C 6 , and M 5 C 2 . [ 5,6 ] Tao et al [ 7 ] suggest that only M 3 C particles exist in the matrix of X12 steel after tempering at 500 °C, whereas M 7 C 3 , M 23 C 6 , M 2 N, and MN are formed above 570 °C. Jones et al [ 8 ] report that Cr 2 C or Cr 2 (C, N), M 7 C 3 , and M 23 C 6 form in 9Cr steel only tempering above 650 °C.…”

Section: Introductionmentioning

confidence: 99%

Effect of Tempering Temperature on Microstructure Evolution and Hardness of 9Cr1. 5Mo1CoB(FB2) Steel

Zhang

Shen

et al. 2021

steel research int.

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The microstructure evolution and hardness variation of FB2 steel influenced by tempering are investigated. The results show that water‐cooling from 1100 °C produces lathy martensite microstructure. After tempering at 500 °C, the steel exhibits a martensite structure with 4.2% needle‐like Fe3C particles. The (Cr, Mo)2C and Cr‐rich M7C3 particles are detected in the sample tempered at 570 °CAs the tempering temperature enhances from 620 to 700 °C the (Cr, Mo)2C and Cr‐rich M7C3 in the matrix are replaced by Cr‐rich M23C6. Besides, the (V, Nb)C particles are identified in samples tempered above 620 °C. Thus, the evolution of carbides in FB2 steel during tempering can be summarized as: Fe3C→(Cr, Mo)2C + Cr‐rich M7C3→(Cr, Mo)2C + Cr‐rich M7C3 + Cr‐rich M23C6→Cr‐rich M23C6. Furthermore, the results suggest that M3C, M2C + M7C3, M23C6, and MX have high reaction rates at 500, 570, 620, and 700 °C respectively. In addition, the dislocation density reduces from 6.8 × 1014 m−2 to 2.1 × 1014 m−2, and the volume fraction of carbides increases from 4.2% to 12.6% with increasing temperatures from 500 to 700 °C leading to hardness decrease from 485 to 284 Hv. Finally, the quantitative relationship between the hardness and microstructure evolution during tempering is discussed.

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Section: Introductionmentioning

confidence: 99%

Effect of Tempering Temperature on Microstructure Evolution and Hardness of 9Cr1. 5Mo1CoB(FB2) Steel

Zhang

Shen

et al. 2021

steel research int.

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“…Among the improved low alloy steels, the 10 wt.% Cr steel, X12CrMoWVNbN.10.1.1 (referred to as X12), has been widely used in high-temperature applications such as boiler and turbine components of power plants [1,2,3]. In addition to the low cost of the X12 alloy, it has superior properties at elevated temperatures, in particular creep resistance, durability, and corrosion resistance [4,5]. Therefore, considering the hot deformation behavior of the X12 alloy is essential to be able to design and analyze components that are subjected to high temperature applications.…”

Section: Introductionmentioning

confidence: 99%

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

et al. 2019

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The aim of this paper is to establish a reliable model that provides the best fit to the specific behavior of the flow stresses of the 10%Cr steel alloy at the time of hot deformation. Modified Johnson–Cook and strain-compensated Arrhenius-type (phenomenological models), in addition to two Artificial Neural Network (ANN) models were established with the view toward investigating their stress prediction performances. The ANN models were trained using Scaled Conjugate Gradient (SCG) and Levenberg–Marquardt (LM) algorithms. The prediction accuracy of the established models was evaluated using the following well-known statistical parameters: (a) correlation coefficient (R), (b) Average Absolute Relative Error (AARE), (c) Root Mean Squared Error (RMSE), and Relative Error (RE). The results showed that both of the modified Johnson–Cook and strain-compensated Arrhenius models could not competently predict the flow behavior. On the contrary, the results indicated that the two proposed ANN models precisely predicted the flow stress values and that the LM-trained ANN provided a superior performance over the SCG-trained model, as it yielded an RMSE of as low as 0.441 MPa.

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“…These Nb-rich MN particles were very stable at high temperature. It was reported that in this steel more than half of these precipitates were not dissolved after austenitization at 1080 • C for 16 h [16]. These dispersed particles exerted a strong pinning force on the growth of austenite grains [9].…”

Section: Microstructure After Austenitizationmentioning

confidence: 82%

Microstructure evolution and mechanical properties of X12CrMoWVNbN10-1-1 steel during quenching and tempering process

Tao

Han

et al. 2016

Journal of Materials Research and Technology

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Characterization of precipitates in X12CrMoWVNbN10-1-1 steel during heat treatment

Cited by 40 publications

References 25 publications

Effect of Tempering Temperature on Microstructure Evolution and Hardness of 9Cr1. 5Mo1CoB(FB2) Steel

Effect of Tempering Temperature on Microstructure Evolution and Hardness of 9Cr1. 5Mo1CoB(FB2) Steel

Constitutive Models for the Prediction of the Hot Deformation Behavior of the 10%Cr Steel Alloy

Microstructure evolution and mechanical properties of X12CrMoWVNbN10-1-1 steel during quenching and tempering process

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