齿轮钢18Cr2Ni4WA磨削烧伤实验及仿真预测研究

doi:10.3969/j.issn.1000-1093.2017.10.016

兵工学报 ›› 2017, Vol. 38 ›› Issue (10): 1995-2001.doi: 10.3969/j.issn.1000-1093.2017.10.016

齿轮钢18Cr2Ni4WA磨削烧伤实验及仿真预测研究

梁志强¹，黄迪青¹，周天丰¹，李宏伟^1,2，乔治¹，王西彬¹，刘心藜²

（1.北京理工大学先进加工技术国防重点学科实验室，北京 100081；2.北京北方车辆集团有限公司，北京 100072）

收稿日期:2017-03-02 修回日期:2017-03-02 上线日期:2017-11-22
通讯作者: 周天丰（1981—），男，教授，博士生导师 E-mail:zhoutf@bit.edu.cn
作者简介:梁志强（1984—），男，副教授，硕士生导师。 E-mail： liangzhiqiang@bit.edu.cn;
黄迪青（1993—），男，硕士研究生。 E-mail： huangdiqing1993@foxmail.com
基金资助:
国家国防科技工业局技术基础科研项目（A0920132008）；国家重点基础研究计划项目(2015CB059900)

Experiment and Simulation Prediction of Grinding Burn of Gear Steel 18Cr2Ni4WA

LIANG Zhi-qiang¹， HUANG Di-qing¹， ZHOU Tian-feng¹， LI Hong-wei^1,2， QIAO Zhi¹， WANG Xi-bin¹， LIU Xin-li²

(1.Key Laboratory of Fundamental Science for Advanced Machining, Beijing Institute of Technology, Beijing 100081, China; 2.Beijing North Vehicle Group Corporation, Beijing 100072, China)

Received:2017-03-02 Revised:2017-03-02 Online:2017-11-22

摘要/Abstract

摘要： 18Cr2Ni4WA钢以其韧性好和强度高的特点，广泛使用于螺旋伞齿轮等重载齿轮的生产与制造。磨齿作为齿轮加工的最后工序，磨削区域较高温度场容易引起磨削烧伤发生，使加工表面质量和疲劳寿命难以保证。针对齿轮钢18Cr2Ni4WA磨削烧伤问题，设计SG砂轮磨削实验，研究其发生磨削烧伤时表面形貌、显微硬度的变化规律，并通过有限元仿真预测烧伤层深。研究结果表明：当砂轮速度为20.3 m/s、工件速度为0.03 m/s、磨削深度大于0.05 mm时工件发生磨削烧伤，随着磨削深度的增加，烧伤程度加重，磨削表面氧化层颜色由淡黄色转为褐色最后呈现青色，表面形貌由纹理清晰转为涂覆；工件产生回火烧伤时，产生硬度较低的回火索氏体；烧伤层深的仿真模拟值与实验测量值基本吻合，验证了有限元仿真对磨削烧伤预测的可行性。

关键词: 材料表面与界面, 磨削烧伤, 齿轮钢, 显微硬度, 有限元仿真

Abstract: 18Cr2Ni4WA steel has been widely used to manufacture the heavy-duty gears, such as spiral bevel gear, which is characterized by high toughness and high strength. Grinding burn easily occurs due to the high temperature during grinding, which makes the grinding precision and surface quality difficult to meet the requirements. The surface hardness, hardness gradient and surface morphology of workpiece are analyzed through single factor experiment, and the degree of grinding burn is simulated using the finite element analysis software. The results show that, with the increase in grinding depth, the degree of grinding burn is aggravated, the color of oxide layer is changed from faint yellow to brown, and finally becomes cyan, and the surface morphology is changed from clear texture to heavily coated. The hardness of surface layer decreases and a tempered sorbite is produced due to tempering burn. The measured and simulated values of grinding burn depth are basically identical, which shows that the degree of grinding burn can be predicted by the finite element simulation. Key

Key words: surfaceandinterfaceofmaterials, grindingburn, gearsteel, microhardness, finiteelementanalysis

中图分类号:

TG580.64

梁志强，黄迪青，周天丰，李宏伟，乔治，王西彬，刘心藜. 齿轮钢18Cr2Ni4WA磨削烧伤实验及仿真预测研究[J]. 兵工学报, 2017, 38(10): 1995-2001.

LIANG Zhi-qiang， HUANG Di-qing， ZHOU Tian-feng， LI Hong-wei， QIAO Zhi， WANG Xi-bin， LIU Xin-li. Experiment and Simulation Prediction of Grinding Burn of Gear Steel 18Cr2Ni4WA[J]. Acta Armamentarii, 2017, 38(10): 1995-2001.

参考文献

［1］徐子健, 魏绍鹏, 周鹏, 等. 18Cr2Ni4WA钢真空渗碳后热处理工艺的优化[J]. 金属热处理, 2014, 39(9)：32-35.
XU Zi-jian, WEI Shao-peng, ZHOU Peng, et al. Optimization of heat treatment process after vacuum carburizing of 18Cr2Ni4WA steel[J]. Heat Treatment of Metals, 2014, 39(9)：32-35. (in Chinese)
[2] 乔治, 梁志强, 赵文祥, 等. 齿轮钢30CrMnTi磨削强化试验[J].中国表面工程, 2017, 30(1)：26-32.
QIAO Zhi, LIANG Zhi-qiang, ZHAO Wen-xiang, et al. Grinding hardening of 30CrMnTi gear steel[J]. China Surface Engineering, 2017, 30(1)：26-32. (in Chinese)

[3] 黄新春, 张定华, 姚倡锋, 等. 超高强度钢AerMet100磨削烧伤研究[J]. 机械工程学报, 2015, 51(9)：184-190.
HUANG Xin-chun, ZHANG Ding-hua, YAO Chang-feng, et al. Research on the grinding burn of the ultrahigh strength steel AerMet100[J]. Journal of Mechanical Engineering, 2015, 51(9)：184-190. (in Chinese)
[4] 张红霞, 陈五一, 陈志同. SG砂轮磨削钛合金烧伤机理[J]. 北京航空航天大学学报, 2008, 34(1)：22-26.
ZHANG Hong-xia, CHEN Wu-yi, CHEN Zhi-tong. Grinding burn mechanism of titanium alloys with SG wheels[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(1)：22-26. (in Chinese)
[5] 明兴祖, 李飞, 周静. 弧齿锥齿轮磨削表面烧伤建模仿真与实验验证[J]. 机械传动, 2014, 38(5)：15-20.
MING Xing-zu, LI Fei, ZHOU Jing. Modeling simulation and experimental validation of grinding surface burn of spiral bevel gear[J]. Journal of Mechanical Transmission, 2014, 38(5)：15-20. (in Chinese)
[6] Dai C, Ding W, Xu J, et al. Effects of undeformed chip thickness on grinding temperature and burn-out in high-efficiency deep grinding of Inconel718 superalloys[J]. International Journal of Advanced Manufacturing Technology, 2017, 89(4)：1841-1852.
[7] Ding W, Linke B, Zhu Y, et al. Review on monolayer CBN superabrasive wheels for grinding metallic materials[J]. Chinese Journal of Aeronautics, 2017, 30(1)：109-134.
[8] Ding W F, Xu J H, Chen Z Z, et al. Fabrication and performance of porous metal-bonded CBN grinding wheels using alumina bubble particles as pore-forming agents[J]. The International Journal of Advanced Manufacturing Technology, 2013, 67(5)：1309-1315.
[9] 郭力, 盛晓敏, 李波. 超高速深磨磨削表面烧伤的试验研究[J]. 精密制造与自动化, 2012(4)：6-8.
GUO Li, SHENG Xiao-min, LI Bo. Experimental study on surface burn of ultra high speed deep grinding[J]. Precise Manufacturing & Automation, 2012(4)：6-8. (in Chinese)

[10] 关宏博, 陈磊, 张修铭, 等. 预应力干磨削加工40Cr工件表面微结构损伤[J]. 中国表面工程, 2016, 29(2)：117-122.
GUAN Hong-bo, CHEN Lei, ZHANG Xiu-ming, et al. Surface micro-structure damage of 40Cr samples in pre-stressed dry grinding process[J].China Surface Engineering, 2016, 29(2)：117-122. (in Chinese)
[11] Wang Z, Willett P, Deaguiar P R, et al. Neural network detection of grinding burn from acoustic emission[J]. International Journal of Machine Tools & Manufacture, 2001, 41(2)：283-309.
[12] Santa-Aho S, Vippola M, Sorsa A, et al. Development of bark hausen noise calibration blocks for reliable grinding burn detection[J]. Journal of Materials Processing Technology, 2012, 212(2)： 408-416.
[13] Santa-Aho S, Vippola M, Sorsa A, et al. Optimized laser processing of calibration blocks for grinding burn detection with Barkhausen noise[J]. Journal of Materials Processing Technology, 2012, 212(11)：2282-2293.
[14] 任敬心, 华定安. 磨削原理[M]. 北京: 电子工业出版社, 2011: 242-243.
REN Jing-xin, HUA Ding-an. Grinding principle [M]. Beijing: Publishing House of Electronics Industry, 2011: 242-243. (in Chinese)
[15] Rowe W B, Black S, Mills B, et al. Grinding temperatures and energy partitioning[J]. Proceedings of the Royal Society, 1997, 453(1)：1083-1104.
[16] Andrews K W. Empirical formulae for calculation of some transformation temperatures[J]. Journal of the Iron and Steel Institute, 1965, 203(7)：721-72.

第38卷
第10期2017 年10月兵工学报ACTA
ARMAMENTARIIVol.38No.10Oct.2017

[1]	王超，王文龙，孙芹东，孙文祺. 同振式矢量水听器耐压球壳优化设计[J]. 兵工学报, 2021, 42(8): 1744-1752.
[2]	沈浩，蔡杰，吕鹏，张从林，李玉新，关庆丰. 激光工艺参数对NiCoCrAlYSi熔覆层微观组织及性能的影响[J]. 兵工学报, 2021, 42(7): 1524-1534.
[3]	石岩，刘东炜，刘佳，李凌宇. 硬脆钢50SiMnVB激光预控裂纹工艺试验研究[J]. 兵工学报, 2018, 39(10): 1997-2005.
[4]	张玉燕，孙莎莎，王振春，曹海要，战再吉. 高速载流电枢表面瞬态温度场仿真与测量[J]. 兵工学报, 2017, 38(9): 1692-1698.
[5]	何泽地，田东宁，杨金川，姚智慧. 薄壁球壳真空吸附装夹变形力学分析与控制[J]. 兵工学报, 2017, 38(7): 1409-1415.
[6]	朴钟宇，赵朦朦，徐滨士，王海斗，文东辉. 等离子喷涂铁基涂层疲劳磨损裂纹捕捉技术研究[J]. 兵工学报, 2016, 37(1): 109-113.
[7]	田欣利, 王龙, 王望龙, 唐修检, 吴志远. 基于灰度共生矩阵和神经网络的Si3N4陶瓷推挤加工表面纹理分析[J]. 兵工学报, 2015, 36(8): 1518-1524.
[8]	孔德军，谢春洋. Cr12MoV冷作模具钢渗硼层表面与界面分析[J]. 兵工学报, 2015, 36(3): 571-576.
[9]	齐烨，常秋英，王斌，李娟. 激光织构对干摩擦性能的影响及机理研究[J]. 兵工学报, 2015, 36(2): 200-205.
[10]	骆芳，赵兵，姚建华. 激光辅助冷喷涂Cu颗粒撞击45钢的数值模拟[J]. 兵工学报, 2015, 36(11): 2157-2163.
[11]	刘芳怡，娄文忠，丁旭冉，王辅辅，王瑛. 瞬时大电流下微机电引信硅通孔封装的失效机理与实验研究[J]. 兵工学报, 2014, 35(9): 1356-1362.
[12]	张鸿雁，王迎春，刘金旭，赵紫盈，郭文启，李树奎. 钨粉表面化学镀镍工艺研究[J]. 兵工学报, 2014, 35(9): 1481-1487.
[13]	张雪辉, 林晨光, 崔舜, 李增德, 胡晓康. 钨及其合金涂层的研究现状[J]. 兵工学报, 2013, 34(3): 365-372.
[14]	骆芳, 孔凡志, 威廉·欧尼尔，姚建华, 柴国钟. 激光加热温度对冷喷Stellite 6合金沉积层表面特性的影响[J]. 兵工学报, 2012, 33(7): 840-846.
[15]	李萍，章凯，薛克敏，王晓溪. 新型药型罩温压扭成形模拟与实验研究[J]. 兵工学报, 2012, 33(4): 437-442.

齿轮钢18Cr2Ni4WA磨削烧伤实验及仿真预测研究

Experiment and Simulation Prediction of Grinding Burn of Gear Steel 18Cr2Ni4WA

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