Failure analysis and improvement of a 42CrMo crankshaft for a heavy-duty truck

Wang, Yanping; Luo, Yucheng; Mo, Qiuyun; Huang, Bin; Wang, Siyuan; Mao, Xiaofeng; Zhou, Lei

doi:10.1016/j.engfailanal.2023.107567

Cited by 10 publications

(1 citation statement)

References 38 publications

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“…Hosseini used the acoustic emission entropy method in researching the fatigue crack property of the crankshaft; in this way, the data volume was greatly reduced and it was much more practical and cost-effective for real-time health monitoring [6]. Yanping Wang analyzed a broken 42CrMo crankshaft from the heavy truck and found that that the crack source was located at the junction of the threaded bottom hole column surface and taper surface, and the main reason for the fracture was the stress concentration caused by the lack of an obvious transition fillet within the same area, as well as the metallographic structure transformation of the surface layer of the bottom hole sidewall caused by the high machining temperature [7]. Shuailun Zhu presented the failure analysis and the numeral simulation work of a given crankshaft with the combination of the relevant response surface optimization; in this way, the stress and deformation of the part was reduced obviously [8].…”

Section: Introductionmentioning

confidence: 99%

Crankshaft High-Cycle Bending Fatigue Experiment Design Method Based on Unscented Kalman Filtering and the Theory of Crack Propagation

Que,

Jiang,

Sun

et al. 2023

Materials

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The high-cycle bending fatigue experiment is one of the most important necessary steps in guiding the crankshaft manufacturing process, especially for high-power engines. In this paper, an accelerated method was proposed to shorten the time period of this experiment. First, the loading period was quickened through the prediction of the residual fatigue life based on the unscented Kalman filtering algorithm approach and the crack growth speed. Then, the accuracy of the predictions was improved obviously based on the modified training section based on the theory of fracture mechanics. Finally, the fatigue limit load analysis result was proposed based on the predicted fatigue life and the modified SAFL (statistical analysis for the fatigue limit) method. The main conclusion proposed from this paper is that compared with the conventional training sections, the modified training sections based on the theory of fracture mechanics can obviously improve the accuracy of the remaining fatigue life prediction results, which makes this approach more suitable for the application. In addition, compared with the system’s inherent natural frequency, the fatigue crack can save the experiment time more effectively and thus is superior to the former factor as the failure criterion parameter.

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Section: Introductionmentioning

confidence: 99%