新型TBM刀圈材料7Cr5Mo2MnVSi钢的回火硬度预测模型研究

doi:10.3901/JME.2025.12.083

机械工程学报 ›› 2025, Vol. 61 ›› Issue (12): 83-92.doi: 10.3901/JME.2025.12.083

• 材料科学与工程 • 上一篇

扫码分享

新型TBM刀圈材料7Cr5Mo2MnVSi钢的回火硬度预测模型研究

尚勇^1,2, 贾希贝³, 孙靖东¹, 姜海峰², 李光^1,4, 孙朝阳¹

1. 北京科技大学机械工程学院北京 100083;
2. 中铁工程装备集团隧道设备制造有限公司新乡 453000;
3. 上海航天设备制造总厂有限公司上海 200245;
4. 中铁工程装备集团盾构制造有限公司郑州 450016

收稿日期:2024-07-13 修回日期:2025-01-17 发布日期:2025-08-07
作者简介:尚勇，男，1981年出生，正高级工程师。主要研究方向为滚刀材料及结构设计，隧道掘进评估。E-mail：shangyong1006@126.com;孙朝阳(通信作者)，男，1976年出生，博士，教授，博士研究生导师。主要研究方向为材料多尺度力学行为、难变形合金热挤压理论及应用、轻量化成形制造。E-mail：suncy@ustb.edu.cn
基金资助:
国家重点研发计划(2022YFE0123700)和国家自然科学基金(U22A20186，52161145407，52275305)资助项目。

Tempering Hardness Prediction Model of New TBM Disc Cutter Material 7Cr5Mo2MnVSi Steel

SHANG Yong^1,2, JIA Xibei³, SUN Jingdong¹, JIANG Haifeng², LI Guang^1,4, SUN Chaoyang¹

1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083;
2. China Railway Engineering Equipment Group Tunnel Equipment Manufacturing Co., Ltd., Xinxiang 453000;
3. Shanghai Aerospace Equipments Manufacturer Co., Ltd., Shanghai 200245;
4. CREG Tunnel Boring Machine Manufacturing Co., Ltd., Zhengzhou 450016

Received:2024-07-13 Revised:2025-01-17 Published:2025-08-07

摘要/Abstract

摘要： 7Cr5Mo2MnVSi钢的回火过程存在二次硬化效应，使其具有较高的回火硬度，已成为新型耐磨滚刀刀圈材料之一。然而，传统的回火硬度模型无法准确预测7Cr5Mo2MnVSi钢的二次硬化硬度。为建立适用于7Cr5Mo2MnVSi钢回火硬度的预测模型，基于回火动力学模型与Orowan颗粒硬化机制，提出了考虑7Cr5Mo2MnVSi钢马氏体回复软化效应和碳化物析出强化效应对硬度影响的回火硬度模型，并通过7Cr5Mo2MnVSi钢不同回火工艺试验进行了验证。回火硬度模型的预测分析表明，碳化物颗粒尺寸显著影响7Cr5Mo2MnVSi钢的回火硬度，回火温度低于400℃时，碳化物颗粒尺寸基本不变，7Cr5Mo2MnVSi钢回火硬度由马氏体回复软化效应主导；回火温度在400～580℃时，碳化物颗粒尺寸随回火温度的升高先减小后增大，在520℃附近出现二次硬化硬度峰值62.2 HRC，与试验结果一致。本文模型和传统模型的预测结果与7Cr5Mo2MnVSi钢不同回火工艺试验结果的相关性分别为0.98和0.45，相较于传统模型，本文模型可以准确预测7Cr5Mo2MnVSi钢的回火二次硬化硬度。

关键词: TBM刀圈材料, 7Cr5Mo2MnVSi钢, 回火工艺, 硬度预测模型

Abstract: 7Cr5Mo2MnVSi steel has secondary hardening phenomenon during tempering process, which makes it have higher tempering hardness and has become one of the new wear-resistant disc cutter ring materials. However, the traditional tempering hardness model cannot accurately predict the secondary hardening hardness of 7Cr5Mo2MnVSi steel. In order to establish a prediction model for the tempering hardness of 7Cr5Mo2MnVSi steel, a tempering hardness model of 7Cr5Mo2MnVSi steel was proposed according to the tempering kinetic model and Orowan mechanism. The effects of martensitic restitution softening and carbide precipitation strengthening on the steel hardness were comprehensively considered in this model. The tempering hardness model predicting results show that the size of carbide particles significantly affects the tempering hardness of 7Cr5Mo2MnVSi steel. When the tempering temperature is below 400 ℃, the size of carbide particles unchanged. The tempering hardness of 7Cr5Mo2MnVSi steel is dominated by the recovery softening of martensite; When the tempering temperature is between 400 ℃ and 580 ℃, the size of carbide particles first decreases and then increases with tempering temperature. The secondary hardening hardness peak of 62.2 HRC appears at the temperature around 520 ℃, which is consistent with the test results. The correlations coefficient between the prediction results of the proposed model and the test results of 7Cr5Mo2MnVSi steel under different tempering processes is 0.98，while that of between the traditional model and the test results is 0.45. Compared to the traditional model, new model can accurately predict the secondary hardening effect of tempering in 7Cr5Mo2MnVSi steel.

Key words: TBM disc cutter material, Steel 7Cr5Mo2MnVSi, tempering process, hardness prediction model

中图分类号:

TG115

尚勇, 贾希贝, 孙靖东, 姜海峰, 李光, 孙朝阳. 新型TBM刀圈材料7Cr5Mo2MnVSi钢的回火硬度预测模型研究[J]. 机械工程学报, 2025, 61(12): 83-92.

SHANG Yong, JIA Xibei, SUN Jingdong, JIANG Haifeng, LI Guang, SUN Chaoyang. Tempering Hardness Prediction Model of New TBM Disc Cutter Material 7Cr5Mo2MnVSi Steel[J]. Journal of Mechanical Engineering, 2025, 61(12): 83-92.

参考文献

[1] GENG Qi，WEI Zhengying，HE Fei，et al. Comparison of the mechanical performance between two-stage and flat-face cutter head for the rock tunnel boring machine (TBM)[J]. Journal of Mechanical Science and Technology，2015，29(5)：2047-2058.
[2] HUO Junzhou，SUN Xiaolong，LI Guangqing，et al. Multi-degree-of-freedom coupling dynamic characteristic of TBM disc cutter under shock excitation [J]. Journal of Central South University，2015，22：3326-3337.
[3] 王超，乔世范，刘红中. TBM破岩过程的滚刀受力计算模型研究[J]. 工程力学，2021，38(10)：54-63. WANG Chao，QIAO Shifan，LIU Hongzhong. Research on force calculation model of hob in TBM rock breaking process[J]. Engineering Mechanics，2021，38(10)：54-63.
[4] SUN Jingdong，SHANG Yong，WANG Kai，et al. A new prediction model for disc cutter wear based on cerchar abrasivity index[J]. Wear，2023，526-527：204927.
[5] 罗海文，沈国慧. 超高强高韧化钢的研究进展和展望[J]. 金属学报，2020，56(4)：494-512. LUO Haiwen，SHEN Guohui. Progress and perspective of ultra-high strength steels having high toughness[J]. Acta Metallurgica Sinica，2020，56(4)：494-512.
[6] ZHANG Yinhui，YANG Jian. Calphad-based alloy design of cast austenitic heat-resistant steels with enhanced strength at 1000℃[J]. Calphad，2019，67：101679.
[7] 苏薇，刘伟峰. 冷作钢7Cr5Mo2MnVSi在盾构机滚刀中的应用研究[J]. 工艺装备，2022，47(2)：132-135. SU Wei，LIU Weifeng. Application research of cold-worked steel 7Cr5Mo2MnVSi in shield machine hob[J]. Automobile Applied Technology，2022，47(2)：132-135.
[8] WANG Xubiao，LIU Changbo，QIN Yuman，et al. Effect of tempering temperature on microstructure and mechanical properties of nanostructured bainitic steel[J]. Materials Science and Engineering：A，2022，832(14)：142357.
[9] YAN Zhijie，LIU Kun，Eckert J. Effect of tempering and deep cryogenic treatment on microstructure and mechanical properties of Cr-Mo-V-Ni steel[J]. Materials Science and Engineering：A，2020，787：139520.
[10] WANG Jian，XU Zinuo，LU Xiaofeng. Effect of the quenching and tempering temperatures on the microstructure and mechanical properties of H13 steel[J]. Journal of Materials Engineering and Performance，2020，29(27)：1849-1859.
[11] JAFFE L D，HOLLOMON J H. Time-temperature relations in tempering steel[J]. Trans. AIME，1945，162：223.
[12] GRANGE R A，HRIBAL C R，PORTER L F. Hardness of tempered martensite in carbon and low alloy steels[J]. Metallurgical Transactions A，1977，8(11)：1775-1785.
[13] KHAN D，GAUTHAM B P. Integrated modeling of carburizing-quenching-tempering of steel gears for an ICME framework[J]. Integrating Materials and Manufacturing Innovation，2018，7(1)：28-41.
[14] WAN Nong，XIONG Weihao，SUO Jinping. Mathematical model for tempering time effect on quenched steel based on Hollomon parameter[J]. Journal of Material Science Technology，2005，21(6)：803.
[15] EUSER V K，WILLIAMSON D L，CLARKE K D，et al. Effects of short-time tempering on impact toughness，strength，and phase evolution of 4340 steel within the tempered martensite embrittlement regime[J]. Metallurgical and materials Transactions A，2019，50(8)：3654-3662.
[16] YUAN J，KANG J，RONG Y，et al. FEM modeling of induction hardening processes in steel[J]. Journal of Materials Engineering and Performance，2003，12(5)：589-596.
[17] MUKHERIEE M，DUTTA C，HALDAR A. Prediction of hardness of the tempered martensitic rim of TMT rebars [J]. Materials Science and Engineering：A，2012，543：35.
[18] ZHANG Zhanping，Delagnes D，Bernhart G. Microstructure evolution of hot-work tool steels during tempering and definition of a kinetic law based on hardness measurements[J]. Materials Science and Engineering：A，2004，380(1-2)：222-230.
[19] DU Ningyu，LIU Hongwei，FU Paixian，et al. Microstructural stability and softening resistance of a novel hot-work die steel[J]. Crystals，2020，10(4)：238.
[20] ZHOU Qingchun，WU Xiaochun，SHI Nannan，et al. Microstructure evolution and kinetic analysis of DM hot-work die steels during tempering[J]. Materials Science and Engineering：A，2011，528(18)：5696-5700.
[21] JILG A，SEIFERT T. Temperature dependent cyclic mechanical properties of a hot work steel after time and temperature dependent softening[J]. Materials Science and Engineering：A，2018，721：96-102.
[22] MARKEZIC R，MOLE N，NAGLIC I，et al. Time and temperature dependent softening of H11 hot-work tool steel and definition of an anisothermal tempering kinetic model[J]. Materials Today Communications，2020，22：100744.
[23] PAVLINA E J，VAN TYNE C J. Correlation of yield strength and tensile strength with hardness for steels[J]. Journal of Materials Engineering and Performance，2008，17(6)：888-893.
[24] ABE F. Coarsening behavior of lath and its effect on creep rates in tempered martensitic 9Cr-W steels[J]. Materials Science and Engineering：A，2004，387：565-569.
[25] 李爽，时彦林，杨晓彩，等. 钼钨钒合金化热作模具钢高温回火组织演变[J]. 工程科学学报，2020，42(7)：902-911. LI Shuang，SHI Yanlin，YANG Xiaocai，et al. Microstructural evolution of Mo-W-V alloyed hot- work die steel during high-temperature tempering[J]. Chinese Journal of Engineering，2020，42(7)：902-911.
[26] CHEN Jundan，MO Wenlin，WANG Pei，et al. Effects of tempering temperature on the impact toughness of steel 42CrMo[J]. Acta Metallurgica Sinica，2012，48(10)：1186-1193.
[27] LI Zhenjiang，XIAO Namin，LI Dianzhong，et al. Influence of microstructure on impact toughness of G18CrMo2-6 steel during tempering[J]. Acta Metallurgica Sinica，2014，50(7)：777-786.
[28] 迟宏宵，马党参，王昌，等. Cr8Mo2SiV钢二次硬化机理的研究[J]. 金属学报，2010，46(10)：1181-1185. CHI Hongxiao，MA Dangshen，WANG Chang，et al. Study on secondary hardening mechanism of Cr8Mo2SiV steel[J]. Acta Metallurgica Sinica，2010，46(10)：1181-1185.
[29] 温涛，胡小锋，宋元元，等. 回火温度对一种Fe-Cr-Ni-Mo高强钢碳化物及其力学性能的影响[J]. 金属学报，2014，50(4)：447-453. WEN Tao，HU Xiaofeng，SONG Yuanyuan，et al. Effect of tempering temperature on carbide and mechanical properties in a Fe-Cr-Ni-Mo high-strength steel[J]. Acta Metallurgica Sinica，2014，50(4)：447-453.

新型TBM刀圈材料7Cr5Mo2MnVSi钢的回火硬度预测模型研究

Tempering Hardness Prediction Model of New TBM Disc Cutter Material 7Cr5Mo2MnVSi Steel

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	胡朋, 赵瑞祥, 杨淑言, 段志荣, 解社娟, 陈振茂, 郑阳. 一种基于电磁-声复合检测方法的分时策略研究[J]. 机械工程学报, 2025, 61(2): 1-10.
[2]	张超, 王宏远, 季宏丽, 朱丽晨, 裘进浩. 金属-有机材料层合结构的脱粘损伤识别方法[J]. 机械工程学报, 2025, 61(2): 24-35.
[3]	赵宇辉, 赵吉宾, 李明玥, 何振丰, 王志国, 贺晨. 激光熔化沉积TC4钛合金电涡流检测仿真及亚表面缺陷检测[J]. 机械工程学报, 2024, 60(14): 34-41.
[4]	张赛凡, 李博, 轩福贞. 激光选区熔化过程声发射信号的降噪与分类预测方法[J]. 机械工程学报, 2024, 60(6): 163-176.
[5]	涂洪铭, 伍剑波, 柯瑞, 夏慧, 陈笑天, MACIEJ Roskosz. 激励参数对Q235钢增量磁导率蝶形图的影响研究[J]. 机械工程学报, 2024, 60(2): 27-35.
[6]	崔学习, 万敏, 吴向东, 关铂镔, 周兵营. 基于应变演化的集中性失稳确定方法[J]. 机械工程学报, 2023, 59(22): 234-244.
[7]	董海江, 郑婷婷, 于进涛, 付正家, 刘秀成, 邢智翔, 闫正祥, 何存富. 汽车B柱加强板软硬部过渡特性的磁巴克豪森噪声检测方法[J]. 机械工程学报, 2023, 59(4): 10-17.
[8]	金士杰, 张波, 孙旭, 王志诚, 林莉. 基于TOFD周向扫查图像特征的管道缺陷超声检测[J]. 机械工程学报, 2023, 59(4): 18-24.
[9]	温银堂, 付凯, 张玉燕, 张芝威. 基于超分辨率改进Faster R-CNN的点阵结构内部缺陷判识方法[J]. 机械工程学报, 2022, 58(21): 266-273.
[10]	宋明, 祖毅真, 马帅, 王炳英, 曹宇光, 蒋文春. 贯穿型缺口小冲杆试样确定高钢级管线钢断裂韧度的研究[J]. 机械工程学报, 2022, 58(12): 83-92.
[11]	刘志斌, 乔媛媛, 赵宁. Zn含量对Cu/Sn/Cu-xZn微焊点界面反应的影响[J]. 机械工程学报, 2022, 58(2): 269-275.
[12]	李望云, 李兴民, 汪健, 梁泾洋, 秦红波. 电-热-力耦合载荷下非均匀组织Cu/Sn-58Bi/Cu微焊点拉伸力学性能研究[J]. 机械工程学报, 2022, 58(2): 307-320.
[13]	王慧, 付秀丽, 门秀花, 张泽文. 基于各向异性特征的7050-T7451铝合金位错密度及其演变规律[J]. 机械工程学报, 2021, 57(18): 164-171.
[14]	杨庆宁, 解社娟, 何琨, 王凯强, 仝宗飞, 陈洪恩, 陈振茂. 一种新型环向偏心涡流探头及其在小径管缺陷检测中的应用[J]. 机械工程学报, 2021, 57(12): 109-117.
[15]	郑凯, 武兴, 李俊燕, 倪辰荫, 沈中华, 马向东, 俞燕萍, 何君华. 高温下金属材料厚度的激光超声检测研究[J]. 机械工程学报, 2021, 57(10): 21-27.