RELATION BETWEEN SUPPORTING ROLLER FATIGUE FATE OF ROTARY KILN AND AXIS LINE AND HOW TO PREDICT ITS FATE

Abstract

Abstract: When the fatigue fate of supporting roller of rotary kiln is analyzed quantificationally, load ratio is introduced. The roller stress distributing rule, under different load ratio and vertical load is analyzed with finite element method. Based on the rule, the linear relations between roller largest stress and equivalence stress and load ratio are derived. And the relations between fatigue scathe and fatigue fate and axis line deflection are deduced. The practical example is given to predict fatigue fate of roller with axes measuring, which provides useful theory reference to maintain and regulate rotary kiln. The study indicates that the axis reasonable regulated can increase fatigue fate and reduce fatigue crack of roller.

Key words: Axis line deflection, Fatigue fate, Load ratio, Predict, Rotary kiln

CLC Number:

TH1123+3

LI Xuejun;SHEN Yiping;CHU Fulei. RELATION BETWEEN SUPPORTING ROLLER FATIGUE FATE OF ROTARY KILN AND AXIS LINE AND HOW TO PREDICT ITS FATE[J]. , 2006, 42(10): 65-69.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://www.cjmenet.com.cn/EN/

http://www.cjmenet.com.cn/EN/Y2006/V42/I10/65

[1]	FENG Xiaoming, WAN Zhenping, SUN Dongsheng, LONG Yuanxiang. Research Status and Development Trends of Brake Force-amplifying Transmission Mechanisms [J]. Journal of Mechanical Engineering, 2026, 62(8): 1-20.
[2]	PI Dawei, LI Xuhang, ZHANG Chenshuo, YAN Yongjun, WANG Hongliang, WANG Xianhui. Predictive Control for Path Tracking of Corner Module Vehicle Based on Instantaneous Center of Rotation Slover [J]. Journal of Mechanical Engineering, 2026, 62(8): 450-461.
[3]	LUO Zhong, LI Hongyu, LI Lei, DONG Yinzhe. Real-time Prediction Method for Response of Difficult-to-measure Points of Rotor System Under Variable Working Conditions Driven by Digital Twin [J]. Journal of Mechanical Engineering, 2026, 62(7): 221-233.
[4]	YUAN Yuan, Liu Xiucheng, QI Pan, Cao Wenbo, Wang Zhenghong, WU Bin, Gao Xiang. A Non-Destructive Surface Hardness Testing Method Utilizing the Transduction Curve of a Magnetostrictive SH₀ Guided Wave Sensor [J]. Journal of Mechanical Engineering, 2026, 62(6): 228-236.
[5]	LIU Hui, Ma Xiaokang, HAN Lijin, XIANG Changle. Real-time Energy Management Strategy for Hybrid Electric Vehicles Based on Deep Reinforcement Learning and Model Predictive Control [J]. Journal of Mechanical Engineering, 2026, 62(6): 302-313.
[6]	SHI Yihan, ZHANG Xu, ZHUANG Cunbo, LIU Jinshan, WANG Jiaxiu, SUN Liansheng. Discrete Workshop Production Bottleneck Prediction with CNN-LSTM Spatio-temporal Network Integrated with Dual Attention Mechanism [J]. Journal of Mechanical Engineering, 2026, 62(5): 49-60.
[7]	TANG Xiaolin, ZHANG Kunyi, CHEN Zhige, YANG Jianying, YANG Wei. Research on Autonomous Driving Safety Planning Method Integrating Interactive Prediction Information [J]. Journal of Mechanical Engineering, 2026, 62(4): 249-262.
[8]	YANG Liangliang, GONG Zhuangzhuang, HE Xiwang, WANG Muchen, MIN Qiang, KAN Ziyun, SONG Xueguan. Digital Twin Construction for Structural Damage Identification [J]. Journal of Mechanical Engineering, 2026, 62(4): 328-341.
[9]	ZHAN Yuanxin, LIN Qinlong, LIU Yang, GAO Ying, WU Jianming, ZHANG Jiazheng. Advances in Machine Learning for Additive Manufacturing of Ti-6Al-4V [J]. Journal of Mechanical Engineering, 2026, 62(3): 86-103.
[10]	LI Yulu, LI Junfeng, WAN Zhangyi, WEI Zhengying. Study on Classification and Recognition of Laser Powder Bed Fusion Forming Layer Morphology and Prediction of Forming Quality Based on YOLO Algorithm [J]. Journal of Mechanical Engineering, 2026, 62(3): 218-234.
[11]	WANG Weimin, LIU Yanzhen. Review on Aero-engine Fault Diagnosis and Early Warning Technology Based on Blade Tip Monitoring [J]. Journal of Mechanical Engineering, 2026, 62(2): 1-16.
[12]	GAO Shuyan, HUANG Mingkun, HUANG Tao, ZHANG Xiaoming, DING Han. Efficient Computation of Cutter-workpiece Engagement and Cutting Force Prediction for General Cutter in Five-axis Machining [J]. Journal of Mechanical Engineering, 2025, 61(9): 132-141.
[13]	ZHAO Lihui, WANG Zhen, LIU Tianyin, LIU Dongjian, WENG Shuo, ZHANG Dongdong. Research on Fatigue Life Prediction Method of High-speed Ball Bearing of Electric Drive System under Random Load [J]. Journal of Mechanical Engineering, 2025, 61(8): 214-227.
[14]	XIAO Zhao, CAO Zhihui, DENG Jiewen, DUAN Shuyong, ZHAO Qiancheng, DAI Juchuan, TAO Jie. Wind Turbine Load Prediction Method Combining Fiber Bragg Grating Sensor Data and Gated Recurrent Units Neural Network [J]. Journal of Mechanical Engineering, 2025, 61(8): 272-282.
[15]	ZHU Haihua, FU Tairan, LI Fei, LIU Changchun, CAI Qixiang, TANG Dunbing. Prediction of Process-level Kitting Time of Assembly Materials for Complex Products Based on Digital Twin [J]. Journal of Mechanical Engineering, 2025, 61(8): 384-398.

RELATION BETWEEN SUPPORTING ROLLER FATIGUE FATE OF ROTARY KILN AND AXIS LINE AND HOW TO PREDICT ITS FATE

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments