A new crankshaft bending fatigue test method: both residual life prediction and statistical analysis

Liu, Jinyan; Sun, Songsong; Gong, Xiaolin

doi:10.1007/s41939-023-00151-2

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…For the components made by this high strength alloy steel, the fatigue crack growth process is usually composed by three parts: the initiation period, the steady propagation period, and the quick growth period. In each stage, the propagation speed varies greatly from those among the other two stages [ 23 , 24 ]. This difference makes the prediction within different ranges may contains obvious errors.…”

Section: Resultsmentioning

confidence: 99%

“…In previous study, the particle filtering algorithm was applied in this topic, in this way the loading time of the experiment can be shortened to save time and money [ 23 , 24 ], but the predictions usually contains obvious errors (sometimes the relative error is more than 20%). In this paper, the UKF (unscented Kalman filtering algorithm) was chosen to predict the fatigue failure time node during the experiment, in this way the loading procedure was quickened obviously.…”

Section: Introductionmentioning

confidence: 99%

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Research of the crankshaft high cycle bending fatigue experiment design method based on the modified unscented Kalman filtering algorithm and the SAFL approach

Rui,

Jiang,

Sun

et al. 2023

PLoS ONE

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In modern engineering application, enough high cycle bending fatigue strength is the necessary factor to provide the basic safety security for the application of the crankshaft in automobile engines (both diesel and gasoline types). At present, this parameter is usually obtained through the standard bending fatigue experiment process, which is time consuming and expensive. In this paper, a new accelerated crankshaft bending fatigue experiment was proposed step by step. First the loading procedure was quickened through the prediction of the residual fatigue life based on the UKF (unscented Kalman filtering algorithm). Then the accuracy of the predictions was improved based on the modified sampling range and the theory of fracture mechanics. Finally the statistical analysis method of the fatigue limit load was performed based on the above predictions. The main conclusion of this paper is that the proposed accelerated bending fatigue experiment can save more than 30% of the bending fatigue experiment period and provide nearly the same fatigue limit load analysis result. In addition, compared with the particle filtering algorithm method, the modified UKF can provide much higher accuracy in predicting the residual bending fatigue life of the crankshaft, which makes this method more superior to be applied in actual engineering.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research of the crankshaft high cycle bending fatigue experiment design method based on the modified unscented Kalman filtering algorithm and the SAFL approach

Rui,

Jiang,

Sun

et al. 2023

PLoS ONE

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Efficient and accurate determination of crack propagation rate without unloading-induced crack closure

Ren,

Liu,

Yan

et al. 2025

Measurement

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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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A new crankshaft bending fatigue test method: both residual life prediction and statistical analysis

Cited by 3 publications

References 29 publications

Research of the crankshaft high cycle bending fatigue experiment design method based on the modified unscented Kalman filtering algorithm and the SAFL approach

Research of the crankshaft high cycle bending fatigue experiment design method based on the modified unscented Kalman filtering algorithm and the SAFL approach

Efficient and accurate determination of crack propagation rate without unloading-induced crack closure

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

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