Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

Barraza-Contreras, Jesús M.; Piña‐Monarrez, Manuel R.; Molina, Alejandro Martínez

doi:10.3390/app10186384

Cited by 20 publications

(10 citation statements)

References 24 publications

(42 reference statements)

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“…(2022) compared the P-S-N curves fitted by the Basquin model and Weibull distribution, and the results showed that the extrapolation of the Weibull distribution fitted in finite fatigue region performed better than the Basquin model in the high and ultra-high cycle fatigue regions. Due to the limitations of the Goodman, Gerber, Soderber and Elliptical failure theories in determining the failure time of mechanical components, Barraza-Contreras et al . (2020) combined fatigue life and Weibull distribution to predict the failure time, validated with numerical calculations, finite element analysis results, and static analysis method.…”

Section: Introductionmentioning

confidence: 99%

Research on fatigue life evaluation method of shaft parts based on small sample

Liu

Zhang

Zhu

et al. 2023

IJSI

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PurposeDue to the limitation of experimental conditions and budget, fatigue data of mechanical components are often scarce in practical engineering, which leads to low reliability of fatigue data and reduces the accuracy of fatigue life prediction. Therefore, this study aims to expand the available fatigue data and verify its reliability, enabling the achievement of life prediction analysis at different stress levels.Design/methodology/approachFirst, the principle of fatigue life probability percentiles consistency and the perturbation optimization technique is used to realize the equivalent conversion of small samples fatigue life test data at different stress levels. Meanwhile, checking failure model by fitting the goodness of fit test and proposing a Monte Carlo method based on the data distribution characteristics and a numerical simulation strategy of directional sampling is used to extend equivalent data. Furthermore, the relationship between effective stress and characteristic life is analyzed using a combination of the Weibull distribution and the Stromeyer equation. An iterative sequence is established to obtain predicted life.FindingsThe TC4–DT titanium alloy is selected to assess the accuracy and reliability of the proposed method and the results show that predicted life obtained with the proposed method is within the double dispersion band, indicating high accuracy.Originality/valueThe purpose of this study is to provide a reference for the expansion of small sample fatigue test data, verification of data reliability and prediction of fatigue life data. In addition, the proposed method provides a theoretical basis for engineering applications.

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Section: Introductionmentioning

confidence: 99%

Research on fatigue life evaluation method of shaft parts based on small sample

Liu

Zhang

Zhu

et al. 2023

IJSI

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“…4 Weibull distribution is the most commonly used distribution model for describing the life of mechanical products, such as bearings, gears, and numerical control machines, etc. [5][6][7] The three-parameter Weibull distribution is widely used in the fatigue life distribution model of mechanical components because it can describe the minimum fatigue life of samples and has strong adaptability.…”

Section: Introductionmentioning

confidence: 99%

Research on parameter estimation methods of fatigue life distribution model of automotive chassis parts

Liu

et al. 2022

Advances in Mechanical Engineering

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The reliability assessment of fatigue life of automotive chassis parts is an important part of automobile safety. The fatigue endurance tests of automotive half-axles were carried out. The three-parameter Weibull distribution model was established according to the fatigue life distribution of samples. Using the right approximation method and the genetic algorithm to estimate three parameters of the distribution model and a comparative analysis was made. The results show that the initial life unreliability estimated by the median rank in the right approximation method had a large deviation from the true value, which may cause the iterative algorithm fall into the local optimal solution and affect the estimation accuracy. Therefore, a new parameter estimation method based on dual genetic algorithm was proposed. The newly proposed dual genetic algorithm not only improves the iteration speed, but also improves the accuracy of parameter estimation, which provides new ideas and theoretical basis for reliability assessment of mechanical components.

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“…The Weibull distribution can fit a wide range of data from many different fields, including biology, medicine, economics, environmental science, and other kinds of science [4][5][6]. However, one of the most important application areas is engineering, where it is commonly used for the fatigue life prediction of different types of products, components, or elements [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Thanks to its versatility and relative simplicity, the Weibull distribution is also widely used in material engineering for the analysis of different kinds of materials, including metals and their alloys [8,9], ceramics [20], plastic materials [21,22], and asphalt mixtures [23]. Nowadays, research in the area of composite materials is very extensive, in connection with statistical predictions and probability models based on the Weibull distribution [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Influence of Disinfectants on Airport Conveyor Belts

et al. 2021

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The coronavirus disease has influenced almost all of our everyday activities. Traveling and transportation have been influenced significantly and there is no doubt that air transportation has been restricted and therefore reduced considerably. It is predicted that the change back to pre-pandemic conditions will take several years, and so it is a reasonable assumption that disinfectants will be used more frequently for a long time. The presented article initially deals with the possible impacts of the pandemic on aircraft infrastructure—namely, on the influence of disinfectants on the rubber materials used, for example, in conveyor belts. The proposed methodology is based on the Weibull analysis for conveyor belt lifetime prediction regarding the impact of disinfectants. The Weibull distribution is a continuous probability distribution that can be applied as a theoretical model for statistical data processing. It was named after Weibull, who suggested shape, scale, and location parameters that made the distribution meaningful and useful. Currently, this distribution is applied in many areas, such as biology, economics, and hydrology. In engineering applications, it can be used for reliability and survival analysis. It is used mainly in cases where failure time is dependent on the operating hours, cycles, or age of the component. In the reliability area, it can be used, for example, to predict the lifetime or failure time of a component. To show the consequences of material changes due to the use of disinfectants, this article also presents a CAE (Computer Aided Engineering) analysis that was used for the evaluation of other hyperelastic material characteristics. This research is based on the results of experimental measurements, during which the influence of the types of disinfectant commonly used for the elimination of the coronavirus disease on airport conveyor belt rubber segments was tested. From the performed analysis, it was found that the influence of disinfectants on the material characteristics, including material hardness, elasticity, and static and dynamic loading, could be significant. Therefore, the probability of mechanical damage to the rubber part of the conveyor belt becomes higher, and time intervals for the maintenance or repair of airport conveyor belts should be considered.

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Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

Cited by 20 publications

References 24 publications

Research on fatigue life evaluation method of shaft parts based on small sample

Research on fatigue life evaluation method of shaft parts based on small sample

Research on parameter estimation methods of fatigue life distribution model of automotive chassis parts

Influence of Disinfectants on Airport Conveyor Belts

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