Study of Quenched Crankshaft High-Cycle Bending Fatigue Based on a Local Sub Model and the Theory of Multi-Axial Fatigue

Sun, Songsong; Xingzhe, Zhang; Ma, Wensheng; Gong, Xiaolin; Xu, Xiaomei

doi:10.3390/met12060913

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…This method can conveniently determine the fatigue life of the smooth specimen under the given load, but the results always contains obvious errors due to the dispersion property of the fatigue experiment results, especially for the high cycle fatigue components (the errors may be more than double) [ 33 , 34 ]. In addition, as mentioned in the published works, the crankshaft usually shows obvious multi-axial stress property even though the type of the load applied on it is uniaxial, which result in the extra difficulty in determining the S-N curve of them [ 35 – 37 ]. In previous study, the particle filtering algorithm was applied in predicting the fatigue failure time node crankshaft during the bending fatigue test.…”

Section: Methodsmentioning

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: Methodsmentioning

confidence: 99%

“…usually shows obvious multi-axial stress property even though the type of the load applied on it is uniaxial, which result in the extra difficulty in determining the S-N curve of them [35][36][37].…”

Section: Plos Onementioning

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

Self Cite

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“…In order to improve the heating efficiency and quality of the induction coil, a magnetizer is incorporated into the model to adjust the magnetic field distribution surrounding the induction coil. Additionally, to ensure accurate analysis and prevent the electromagnetic field from escaping into the surrounding air, a far-field model of the air is established during the induction heating process (Sun et al, 2022).…”

Section: Geometric Modelmentioning

confidence: 99%

Study on induction hardening performance of 34CrNi3MoA steel crankshaft

Shi,

Lv,

et al. 2023

Front. Mater.

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The evolution of the temperature field, microstructure field, and residual stress field of a 34CrNi3MoA steel marine diesel engine crankshaft during medium-frequency induction hardening was studied based on an electromagnetic-thermal-transformation-stress coupled numerical model, which considers the effect of internal stress induced by transformation induced plasticity on residual stress. Using the equal conversion rate method, the austenitizing region of the crankshaft was determined during the induction heating stage. In the quenching stage, the parameters of the phase transformation model are derived from the continuous heating expansion curve and the continuous cooling transformation curve, and the phase transformation kinetics equation is used to analyze the phase transformation process of the crankshaft. The results indicate that extending the heating time can enhance the uniformity of the surface temperature of the crankshaft and the thickness of the hardened layer. The simulation results are validated by measurements of hardened layer, hardness and residual stress, and the simulation results are in good agreement with the experimental results.

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“…In recent years, with the rapid development of intelligent manufacturing and the industrial Internet, health monitoring has been widely used in vehicle control systems [1,2], battery health management systems [3][4][5], operation and maintenance systems of key components of equipment [6][7][8], and other engineering systems. As aero-engines operate in harsh working conditions (high temperature, high load, etc.)…”

Section: Introductionmentioning

confidence: 99%

Dynamic Health Monitoring of Aero-Engine Gas-Path System Based on SFA-GMM-BID

Yang

Zhang

et al. 2023

Electronics

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This paper proposes a dynamic health monitoring method for aero-engines by extracting more hidden information from the raw values of gas-path parameters based on slow feature analysis (SFA) and the Gaussian mixture model (GMM) to improve the capability of detecting gas-path faults of aero-engines. First, an SFA algorithm is used to process the raw values of gas-path parameters, extracting the effective features reflecting the slow variation of the gas-path state. Then, a GMM is established based on the slow features of the target aero-engine in a normal state to measure its health status. Moreover, an indicator based on the Bayesian inference distance (BID) is constructed to quantitatively characterize the performance degradation degree of the target aero-engine. Considering that the fixed threshold does not suit the time-varying characteristics of the gas-path state, a dynamic threshold based on the maximum information coefficient is designed for aero-engine health monitoring. The proposed method is verified using a set of actual operation data of a certain aero-engine. The results show that the proposed method can better reflect the degradation process of the aero-engine and identify aero-engine anomalies earlier than other aero-engine fault detection methods. In addition, the dynamic threshold can reduce the occurrence of false alarms. All these advantages give the proposed method high value in real-world applications.

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Study of Quenched Crankshaft High-Cycle Bending Fatigue Based on a Local Sub Model and the Theory of Multi-Axial Fatigue

Cited by 4 publications

References 23 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

Study on induction hardening performance of 34CrNi3MoA steel crankshaft

Dynamic Health Monitoring of Aero-Engine Gas-Path System Based on SFA-GMM-BID

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