Processing maps and microstructural evolution of the type 347H austenitic heat-resistant stainless steel

Zhou, Yinghui; Liu, Yongchang; Zhou, Xiaosheng; Liu, Chenxi; Yu, Liming; Li, Chong; Ning, Baoqun

doi:10.1557/jmr.2015.168

Cited by 23 publications

(10 citation statements)

References 31 publications

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“…The NbC precipitates in Alloy 347H form within the matrix preferentially on dislocations and significantly strengthen the matrix (Refs. [55][56][57][58]. The precipitates are known to be very fine, in the range of 20 to 40 nm (Ref.…”

Section: A B a Bmentioning

confidence: 99%

Stress Relief Cracking Susceptibility in High-Temperature Alloys

Kant¹

2019

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The stress relief cracking (SRC) susceptibility of a range of austenitic and ferritic alloys was tested using Gleeble ® based test procedures. The tests were developed to study the effect of postweld heat treatment (PWHT) temperature and cold working on the SRC susceptibility. Six susceptibility parameters were identified from the test results (ductility, percentage stress relaxed, hardness increase at fracture, failure time, fracture mode, and extent/type of secondary cracks below the fracture). The susceptibility parameters were integrated with concepts of Risk Priority Number (a prioritization tool in 6-Sigma) to develop an SRC susceptibility index. Sensitivity analysis of the methodology was done to ensure its robustness. The ferritic alloys generally showed the highest SRC susceptibility at a PWHT temperature of 600C, while the austenitic alloys were generally most susceptible at 800C. Using the susceptibility index, the SRC tendency of all the alloys was divided into three regions (highly susceptible, moderately susceptible, and resistant). The newly proposed test procedure and SRC susceptibility index provide a robust approach for studying and ranking the SRC susceptibility of engineering alloys. Posttest microstructural characterization of the SRC samples provided insight into the cracking mechanisms. FEBRUARY 2019 / WELDING JOURNAL 29-s https://doi.org/10.29391/2019.98.003

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Section: A B a Bmentioning

confidence: 99%

Stress Relief Cracking Susceptibility in High-Temperature Alloys

Kant¹

2019

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“…In contrast, the austenite phase has higher thermal strength, and lower stacking fault energy during thermal deformation, which will make dislocations more prone to entanglement, resulting in processes such as the dynamic recovery often being suppressed [5][6][7][8]. The difference in two-phase mechanical properties and deformation behavior in duplex stainless steel makes its plastic deformation behavior more complex, and the difficulty of alloy hot working correspondingly increase [9], which results in the generally poor surface quality of the finished product. In recent years, more and more attention has been paid to the study of hot working properties and plastic deformation behavior of duplex stainless steel.…”

Section: Introductionmentioning

confidence: 99%

Hot deformation behavior and microstructural evolution of 2205 duplex stainless steel

Song

Wang

Zhao

et al. 2020

Mater. Res. Express

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The equiaxed compression test was used to study the microstructure evolution and the dynamic recrystallization behavior of 2205 duplex stainless steel during hot deformation under 850-1100°C with strain rates of 0.01 s −1 , 0.1 s −1 , 1 s −1 and 10 s −1 . The calculated values of thermal deformation activation energy Q and stress index n were 351.58 kJ mol −1 and 3.8543, respectively. On this basis, the Arrhenius type constitutive equation was successfully established, the microstructure of the sample was studied by electron backscatter diffraction (EBSD), and the changes of the ferrite and austenite phase under different deformation parameters were analyzed. It was seen from the phase boundary and grain boundary diagrams that, at the same temperature, as the deformation rate increased, the austenite phase content slowly decreased, while the ferrite phase content increased. The deformation amount of the two phases under the same strain at different temperatures and strain rates were respectively obtained from the grain orientation scatter diagram and the changes of recrystallization, deformation and substructure under different deformation parameters were obtained from the recrystallization diagram.

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“…Since the end of the 20th century, processing maps, i.e., power dissipation maps superimposed by flow instability maps, have been extensively studied as a very convenient tool for the optimization of hot forming processes, such as rolling, forging, etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. These maps simply display the combinations of thermomechanical conditions, i.e., strain, strain rate, and deformation temperature, which are suitable for the forming processes of an examined material.…”

Section: Introductionmentioning

confidence: 99%

“…Saxena et al [6] compiled power dissipation and flow instability maps of a Zr-2.5Nb zirconium alloy, while Duan et al [14] developed processing maps for a Pb-Mg-10Al-0.5B alloy. Various other steels and alloys have also been studied on the basis of processing maps, e.g., austenitic heat-resistant stainless steel (Zhou et al [7]), Ni-based superalloy (Zhang et al [9]), Cu-Cr-Zr-Nd alloy (Zhang et al [11]), NiTiNb shape memory alloy (Wang at al. [15]), nanoalumina composite (Suresh et al [8]), etc.…”

Section: Introductionmentioning

confidence: 99%

Extension of Experimentally Assembled Processing Maps of 10CrMo9-10 Steel via a Predicted Dataset and the Influence on Overall Informative Possibilities

Opěla

Kawulok

et al. 2019

Metals

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Processing maps embody a supportive tool for the optimization of hot forming processes. In the present work, based on the dynamic material model, the processing maps of 10CrMo9-10 low-alloy steel were assembled with the use of two flow curve datasets. The first one was obtained on the basis of uniaxial hot compression tests in a temperature range of 1073–1523 K and a strain rate range of 0.1–100 s−1. This experimental dataset was subsequently approximated by means of an artificial neural network approach. Based on this approximation, the second dataset was calculated. An important finding was that the additional dataset contributed significantly to improving the informative ability of the assembled processing maps in terms of revealing potentially inappropriate forming conditions.

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Processing maps and microstructural evolution of the type 347H austenitic heat-resistant stainless steel

Abstract: Abstract

Cited by 23 publications

References 31 publications

Stress Relief Cracking Susceptibility in High-Temperature Alloys

Stress Relief Cracking Susceptibility in High-Temperature Alloys

Hot deformation behavior and microstructural evolution of 2205 duplex stainless steel

Extension of Experimentally Assembled Processing Maps of 10CrMo9-10 Steel via a Predicted Dataset and the Influence on Overall Informative Possibilities

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