Numerical simulation and experimental verification of heat treatment after forging of SA508-3 steel for steam generator

doi:10.13251/j.issn.0254-6051.2024.05.009

Abstract

Abstract: Taking SA508-3 steel forging for steam generator as research object, the thermophysical parameters for the steel were calculated by JMatpro software. After heat treatment, the microstructure and hardness of the forging were simulated by Deform-3D software. And the experimental verification was carried out by small specimen physical simulation method. The results show that the microstructure and hardness of both the experimental test and numerical simulation are in good agreement. It can be seen that numerical simulation technology is an effective tool to determine the rationality of heat treatment process for large forgings, which has significant value in shortening production cycle and reducing cost.

Key words: SA508-3 steel, steam generator, heat treatment after forging, numerical simulation

CLC Number:

TG161

Feng Xingwang, Zhang Ke, Liu Jiujiang, Shi Ruxing, Su Wenbo, Liu Shuai, Li Zhipeng, Yang Bin. Numerical simulation and experimental verification of heat treatment after forging of SA508-3 steel for steam generator[J]. Heat Treatment of Metals, 2024, 49(5): 55-61.

References

[1]Qiu Y, Xin R, Luo J, et al. The effects of homogenizing and quenching and tempering treatments on crack healing[J]. Metals, 2020, 10(4): 427.
[2]Wang Q, Zhao Y, Li L, et al. The dynamic compressive behavior and constitutive model of SA508-3 steel at high strain rates under elevated temperatures[J]. Journal Material Science, 2023, 58: 8489-8502.
[3]Jiang Z, Wang P, Li Y, et al. Transformation mechanism for the blocky microstructure of nuclear power used SA508-3 steel[J]. Metallurgical and Materials Transactions A, 2023, 54: 1174-1185.
[4]张亚伟. 热轧高强钢回火温度场数值模拟研究[D]. 上海: 上海交通大学, 2016.
Zhang Yawei. Research ontemperature field of hot-rolled high strength steel during tempering treatment with numerical simulation method[D]. Shanghai: Shanghai Jiao Tong University, 2016.
[5]Li Z, Yan X, Shi R, et al. Numerical simulation research of the quenching and tempering temperature filed in thick nuclear power forgings of 18MnMoNi steel[J]. IOP Conference Series: Materials Science and Engineering, 2018, 452(2): 022066.
[6]Zhu H, Li S, Wang C. Numerical simulation of temperature field of gears in quenching process[J]. Applied Mechanics and Materials, 2014, 457-458: 566-570.
[7]Feng X W, Wang Y X, Han J X, et al. Numerical simulation and experimental verification of the quenching process for Ti microalloying H13 steel used to shield machine cutter rings[J]. Metals, 2024, 14(3): 313.
[8]Li J, Tang L, Li S, et al. FEM simulation and experimental verification of temperature field and phase transformation in deep cryogenic treatment[J]. Transactions of Nonferrous Metals Society of China, 2012, 22(10): 2421-2430.
[9]Tian Y, Tan Z, Li H, et al. A new finite element model for Mn-Si-Cr bainitic/martensitic product quenching process: Simulation and experimental validation[J]. Journal of Materials Processing Technology, 2021, 294: 117137.
[10]刘婷, 王巍, 谢景洋, 等. 30NiCrMoV12金属轴承锻件热处理过程数值模拟研究[J]. 世界有色金属, 2020(4): 1-3.
Liu Ting, Wang Wei, Xie Jingyang, et al. Numerical simulation study on heat treatment process of 30NiCrMoV12 metal bearing forgings[J]. World Nonferrous Metals, 2020(4): 1-3.
[11]Wang R, Jiang H, Shao W, et al. Quenching induced residue stress in M50 steel ring: A FEM simulation[J]. Journal Material Research Technology, 2023, 24: 5298-5308.
[12]刘馨宇, 谢本昌, 王业双, 等. 基于Jmatpro和Deform的钛合金试件热处理模拟[J]. 金属热处理, 2023, 48(4): 253-256.
Liu Xinyu, Xie Benchang, Wang Yeshuang, et al. Heat treatment simulation of titanium alloy part based on Jmatpro and Deform[J]. Heat Treatment of Metals, 2023, 48(4): 253-256.
[13]王中琳, 李权, 龚志华, 等. 丝杠用1Cr15Ni4Mo2CuN不锈钢热处理温度场的有限元数值模拟[J]. 金属热处理, 2023, 48(4): 245-252.
Wang Zhonglin, Li Quan, Gong Zhihua, et al. Finite element numerical simulation of heat treatment temperature field of 1Cr15Ni4Mo2CuN stainless steel for screw[J]. Heat Treatment of Metals, 2023, 48(4): 245-252.
[14]Tong D, Gu J, Yang F. Numerical simulation on induction heat treatment process of a shaft part: Involving induction hardening and tempering[J]. Journal of Materials Processing Technology, 2018, 262: 277-289.
[15]董嘉兵, 王慧军, 陈林, 等. 新型H380级别高强度钢轨热处理工艺的数值模拟[J]. 特殊钢, 2020, 41(4): 1-5.
Dong Jiabing, Wang Huijun, Chen Lin, et al. Numerical simulation on heat treatment process of H380 new high strength steel rail[J]. Special Steel, 2020, 41(4): 1-5.
[16]Takeuchi H, Yogo Y. Jet quenching simulation with consideration for distribution of heat transfer coefficient and latent heat for martensitic transformation under rapid cooling[J]. ISIJ International, 2021, 61(3): 871-880.
[17]Jiang Y, Liu F, Wang J, et al. Solid-state phase transformation kinetics in the near-equilibrium regime[J]. Journal of Materials Science, 2015, 50(2): 662-677.
[18]Cahn J W. Transformation kinetics during continuous cooling[J]. Acta Metallurgica, 1956, 4(6): 572-575.
[19]Liu F, Sommer F, Bos C, et al. Analysis of solid state phase transformation kinetics: Models and recipes[J]. International Materials Reviews, 2007, 52(4): 193-212.
[20]苏兴武, 顾敏. 淬火冷却过程数值模拟的研究现状及展望[J]. 金属热处理, 2008, 33(6): 1-7.
Su Xingwu, Gu Min. Research status and prospects of numerical simulation of quenching process[J]. Heat Treatment of Metals, 2008, 33(6): 1-7.
[21]Hömberg D, Liu Q, Montalvo-Urquizo J, et al. Simulation of multi-frequency-induction-hardening including phase transitions and mechanical effects[J]. Finite Elements in Analysis and Design, 2016, 121: 86-100.
[22]Zhang X, Tang J, Zhang X. An optimized hardness model for carburizing-quenching of low carbon alloy steel[J]. Journal of Central South University, 2017, 24(1): 9-16.
[23]李永堂, 杨卿, 齐会萍, 等. 基于铸辗复合成形的铸态42CrMo钢热物理性能参数的研究[J]. 机械工程学报, 2014(16): 77-82.
Li Yongtang, Yang Qing, Qi Huiping, et al. Study on the thermal-physical characteristic parameters of casting 42CrMo based on cast-rolling forming technology[J]. Journal of Mechanical Engineering, 2014(16): 77-82.