Advances in Tunable Bandgaps of Piezoelectric Phononic Crystals

Wang, Yiwei; Xu, Xiaomei; Li, Li

doi:10.3390/ma16186285

Cited by 9 publications

(1 citation statement)

References 128 publications

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“…As a result of this, compared with the common fatigue property evaluation parameter (usually the fatigue life under a given load), it is more important to correctly evaluate the high-cycle fatigue load of a crankshaft under a specified fatigue life [35,36]. According to previous studies, the SAFL (Statistical Analysis for Fatigue Limit) approach is considered to be an effective method for analyzing the distribution property of the fatigue limit load [37]. With the combination of the predicted fatigue life and the SAFL method, it is possible to analyze the fatigue limit load of the crankshaft under different survival rates; the results are shown in Figure 14.…”

Section: Fatigue Limit Load Analysis Resultsmentioning

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: Fatigue Limit Load Analysis Resultsmentioning

confidence: 99%