The Life Evaluation to Determine Remanufacturing Access Period of Telescopic Boom for Mobile Crane

Abstract:

In order to determine the remanufacturing access period of telescopic boom for mobile crane, it is needed to study one of its main failure forms—fatigue damage to predict remaining fatigue life which is regarded as parameter to remanufacture and foundation to make comprehensive evaluation. First of all, in certain period, the numbers of work cycles corresponding to different lifting loads for different rated lifting capacity of telescopic boom are collected, so that a set of data can be got as learning sample, then editing a neural network program and training it by entering the learning sample obtain the appropriate neural network weights, finally through inputting rated lifting capacity and lifting loads of telescopic boom needed life evaluation to the neural network program, the numbers of work cycles are obtained. Building on the principle of Miner fatigue damage accumulation and combining with the Paris-Eadogan equation, the formula of remaining fatigue life is deduced, and finally the graph of remaining fatigue life corresponding to different initial crack is drew. The results show that the initial crack effect on the remaining fatigue life largely and crack of 0.4mm should be tracked and monitored as a starting point, so remanufacturing the boom at an appropriate time ensures safe and reliable operation of mobile crane.

• Periodical: Applied Mechanics and Materials (Volume 551)
• Pages: 182-188
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.551.182
• Online since: May 2014
• Authors: Feng Yi Lu*, Wei Zhu, Ge Ning Xu, Ru Gang Yang
• Keywords: Remaining Fatigue Life, Remanufacturing Access Period, Telescopic Boom

References

[1] Xian Liu. The analysis of ultrasonic flaw detection about fatigue crack of SS4 Modified Electric Locomotive wheel and axle [J]. Electric Drive for Locomotives, 2008, 4: 64-66.

[2] Mingzhu Liu. Barkhausen Noise Application in the Detection of Stress and Fatigue Damage [J]. Journal of Harbin Institute of Technology University, 2001, 6(1): 73-76.

[3] Yun Zhou. Detection of seam using active infrared imaging [J]. Electric Welding Machine, 34(4): 49-51.

[4] Chong Wang. Fatigue Life Prediction of TA15 Titanium Ally [J]. Heat Treatment of Metals, 32: 437-439.

[5] Gening Xu, Bin Zuo. Research on Method for Fatigue Life Estimation of Hoisting Machine Structure[J]. China Safety Science Journal, 2007, 17(3): 126-130.