磨削烧伤、化瓦对残余应力及可靠性影响的分析与研究
Analysis and Study on the Effects of Grinding Burns and Tiles on Residual Stress and Reliability
DOI: 10.12677/met.2025.145053, PDF,   
作者: 代利强*, 孙万军, 刘 莉, 刘 宁, 郎凯旋:潍柴动力股份有限公司,山东 潍坊;国家内燃机产业计量测试中心,山东 潍坊
关键词: 残余应力磨削烧伤失效机理扫描电镜Residual Stress Grinding Burn Failure Mechanism Scanning Electron Microscope
摘要: 残余应力、微观组织及形貌等表面完整性是影响柴油机关键轴类零件服役性能的核心因素。本文针对柴油机轴类零件制造或服役过程中的表面完整性问题,运用宏观观测、残余应力检测、硬度测试、扫描电镜等手段,系统探究了残余应力形成机制及其对零件失效行为的影响,结果表明磨削烧伤和化瓦缺陷会引起表面残余应力值显著降低,进而促使疲劳裂纹在应力集中区域优先萌生,通过X射线残余应力测试及扫描电子显微镜(SEM)断口分析揭示了残余应力分布与柴油机轴类零件裂纹萌生的关联性,可为柴油机重要轴类件生产制造及可靠性分析研究提供检测借鉴和参考。
Abstract: The surface integrity of residual stress, microstructure, and morphology are the core factors affecting the service performance of key shaft components in diesel engines. This article focuses on the surface integrity issues in the manufacturing or service process of diesel engine shaft parts. By using macroscopic observation, residual stress detection, hardness testing, scanning electron microscopy and other methods, the mechanism of residual stress formation and its influence on the failure behavior of the parts are systematically explored. The results showed that grinding burns and tile defects can significantly reduce the surface residual stress values, thereby promoting the preferential initiation of fatigue cracks in stress concentration areas. The correlation between residual stress distribution and crack initiation in diesel engine shaft parts was revealed through X-ray residual stress testing and scanning electron microscopy fracture analysis, which can provide detection reference and guidance for the production and reliability analysis of important shaft parts in diesel engines.
文章引用:代利强, 孙万军, 刘莉, 刘宁, 郎凯旋. 磨削烧伤、化瓦对残余应力及可靠性影响的分析与研究[J]. 机械工程与技术, 2025, 14(5): 535-543. https://doi.org/10.12677/met.2025.145053

参考文献

[1] 姜锡山, 赵晗, 等. 钢铁显微断口速查手册[M]. 北京: 机械工业出版社, 2010.
[2] 张治国, 赵世来. 浅谈发动机轴瓦的失效模式[J]. 汽车实用技术, 2019(9): 188-191.
[3] 李国琳, 孙永华. 大功率发动机轴瓦失效分析及预防措施[J]. 内燃机与配件, 2024(5): 68-70.
[4] 邱颖博, 孔维瑜, 何湘萍, 白倩. 表面硬度与表面残余应力对FGH99微动磨损特性的影响[J/OL]. 航空学报: 1-14.
https://kns.cnki.net/kcms/detail/11.1929.v.20250720.0733.008.html, 2025-08-13.
[5] 李全新, 王守财, 康杰, 马海坤, 张子阔, 黄浩, 王敏涓, 吴大勇, 黎旺, 苏孺. SiCf/Ti3Al复合材料单轴拉伸残余应力及界面失效数值模拟[J/OL]. 河北科技大学学报: 1-11.
https://kns.cnki.net/kcms/detail/13.1225.ts.20250624.0852.002.html, 2025-08-13.
[6] Liu, Y., Chen, C., Li, G. and Li, J. (2010) Fatigue Life Prediction of Semi-Elliptical Surface Crack in 14MnNbq Bridge Steel. Engineering Failure Analysis, 17, 1413-1423. [Google Scholar] [CrossRef
[7] Chu, G.C., Hu, F.Z., Jin, X.J., Zhang, Y., Wang, Q., Hou, J.P., et al. (2022) Fatigue Properties Improvement of Low-Carbon Alloy Axle Steel by Induction Hardening and Shot Peening: A Prospective Comparison. Acta Metallurgica Sinica (English Letters), 35, 1343-1356. [Google Scholar] [CrossRef
[8] Yang, Q., Cheng, J., Guan, H., Tan, W. and Zhang, Y. (2022) Investigation of Wet Shot Peening on Microstructural Evolution and Tensile-Tensile Fatigue Properties of Ti-6Al-4V Alloy. Materials Chemistry and Physics, 291, Article ID: 126635. [Google Scholar] [CrossRef
[9] Kikuchi, S., Nambu, K., Nakamura, Y. and Akebono, H. (2020) Effect of Soft-Fine Particle Peening on Rotating Bending Fatigue Properties of Gas Carburized SCM420H Steel. Tetsu-to-Hagane, 106, 765-776. [Google Scholar] [CrossRef
[10] Salonitis, K. and Kolios, A. (2015) Experimental and Numerical Study of Grind-Hardening-Induced Residual Stresses on AISI 1045 Steel. The International Journal of Advanced Manufacturing Technology, 79, 1443-1452. [Google Scholar] [CrossRef
[11] Li, G., Xu, H., Zhou, H., Jing, X. and Sun, Y. (2018) Experimental Study of Residual Stresses of Cam Produced by Heat Treatment and Grinding Processes. The International Journal of Advanced Manufacturing Technology, 100, 1355-1362. [Google Scholar] [CrossRef
[12] 李兴林. 摩托车发动机轴承早期失效模式分析及对策[J]. 摩托车技术, 2001(9): 6-10.
[13] Hong, Y., Xiu, S., Sun, C., Zhao, Y. and Zhang, X. (2022) Metallographic Method for Temperature Measurement: Reconstruction of Grinding Temperature Field Based on Critical Austenitizing Depth and Cyclic Feedback Algorithm. Journal of Materials Processing Technology, 310, Article ID: 117770. [Google Scholar] [CrossRef