THE INFLUENCE OF THE PARAMETERS OF HEAT TREATMENT ON THE CRACK PROPAGATION OF LOW-CYCLE FATIGUE IN HIGH CARBON STEELS

Abstract

Abstract: The crack propagation of low-cycle fatigue in high carbon steels(1.00o C carbon steel and 1.0%`C, 1.5%Cr bearing steel), which are treated at various temperatures, has been studied. It is showed that:1.The rate of crack propagation da/Dn is affected by following parameters; quenching temperature, tempering temperatures mechanism of crack propagation, carbide size and depth of hardening.2.The critical length of fatigue crack a. is only affected by tempering temperature, and is not effected by other parameters.3.If the steels are treated by a high temperature queuching with low tempering; the fatigue crack propagates along the boundaries of prior austenite grains.

Key words: Component signal, Signal separation, Variable matrix structure, Singular value decomposition

Feng Xiaozeng;Liu Beixing;Liu Qiaohong. THE INFLUENCE OF THE PARAMETERS OF HEAT TREATMENT ON THE CRACK PROPAGATION OF LOW-CYCLE FATIGUE IN HIGH CARBON STEELS[J]. , 1985, 21(4): 46-54.

[1]	WANG Yi, DING Jiakai, SUN Haoran, QIN Yi, TANG Baoping. Interpretable Intelligent Diagnosis Method for Aero-engines Based on Deep Signal Separation [J]. Journal of Mechanical Engineering, 2024, 60(12): 77-89.
[2]	LIU Guangyu, GONG Dao, ZHOU Jinsong, REN Lihui, WANG Zegen, SUN Weiguang, TANG Jilie. Vibration Reduction Design of High-speed EMU Car Body Based on Modal Vibration Decomposition Method [J]. Journal of Mechanical Engineering, 2023, 59(18): 239-250.
[3]	CUI Lingli, LIU Yinhang, WANG Xin. Feature Extraction of Weak Fault for Rolling Bearing Based on Improved Singular Value Decomposition [J]. Journal of Mechanical Engineering, 2022, 58(17): 156-169.
[4]	LI Hua, LIU Tao, WU Xing, LI Shaobo. Application of SVD Based on Correlated Singular Value Ratio in Bearing Fault Diagnosis [J]. Journal of Mechanical Engineering, 2021, 57(21): 138-149.
[5]	CHEN Shuai, ZHAO Ming, GUO Dong, LIN Jing. Missing Data Imputation Using SVD-KDR Algorithm in Industrial Monitoring Data [J]. Journal of Mechanical Engineering, 2021, 57(2): 30-38.
[6]	ZHAO Xuezhi, YE Bangyan, CHEN Tongjian. Frequency Adding Singular Value Decomposition Algorithm and Its Application in Fault Feature Extraction [J]. Journal of Mechanical Engineering, 2021, 57(10): 10-20.
[7]	DONG Shaojiang, PEI Xuewu, WU Wenliang, TANG Baoping, ZHAO Xingxin. Rolling Bearing Fault Diagnosis Method Based on Multilayer Noise Reduction Technology and Improved Convolutional Neural Network [J]. Journal of Mechanical Engineering, 2021, 57(1): 148-156.
[8]	WANG Huaqing, REN Bangyue, SONG Liuyang, DONG Fang, WANG Mengyang. Sparse Representation Method Based on Termination Criteria Improved K-SVD Dictionary Learning for Feature Enhancement [J]. Journal of Mechanical Engineering, 2019, 55(7): 35-43.
[9]	ZHAO Xuezhi, SHAO Qipeng, YE Bangyan, CHEN Tongjian. Matrix Dimension Considering Frequency Factor in Singular Value Decomposition [J]. Journal of Mechanical Engineering, 2019, 55(16): 7-16.
[10]	CHENG Li, YANG Wukui, LIANG Tao, WEN Bi, YAO Dongye. Failure Diagnosis on Gas Path of Fan/compressor Based on Acoustic Mode [J]. Journal of Mechanical Engineering, 2019, 55(13): 38-44.
[11]	ZHANG Tie, YE Jingyang, LIU Xiaogang. Weighted Hand-eye Calibration Algorithm for Robot Grinding [J]. Journal of Mechanical Engineering, 2018, 54(17): 142-148.
[12]	ZHAO Xuezhi, CHEN Tongjian, YE Bangyan. Variable Structure SVD Algorithm and Its Application to Signal Separation [J]. Journal of Mechanical Engineering, 2017, 53(22): 11-21.
[13]	HUANG Tao, YANG Kaiming, YANG Jin, ZHU Yu, HU Chuxiong. Identification of Multiple Input Multiple Output Motion System with Flexible Structures [J]. Journal of Mechanical Engineering, 2016, 52(11): 42-49.
[14]	ZENG Ming, YANG Yu, ZHENG Jinde, CHENG Junsheng. μ-SVD Based Denoising Method and Its Application to Gear Fault Diagnosis [J]. Journal of Mechanical Engineering, 2015, 51(3): 95-103.
[15]	WANG Jianguo, LI Jian, WAN Xudong. Fault Feature Extraction Method of Rolling Bearings Based on Singular Value Decomposition and Local Mean Decomposition [J]. Journal of Mechanical Engineering, 2015, 51(3): 104-110.

THE INFLUENCE OF THE PARAMETERS OF HEAT TREATMENT ON THE CRACK PROPAGATION OF LOW-CYCLE FATIGUE IN HIGH CARBON STEELS

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments