Fatigue life prediction and influencing factors analysis of mesh flexible spoke non-pneumatic tire

A mesh flexible spoke non-pneumatic tire is designed to avoid tire burst and other hidden dangers in the traditional pneumatic tires, and improve driving safety. The purpose of this study is to explore the fatigue performance and fatigue life prediction method of the non-pneumatic tire and analyze the influence of structural parameters on the fatigue life of non-pneumatic tire. Based on the crack propagation method of energy release rate by J-integral, the fatigue life of the meshed flexible spoke non-pneumatic tire is predicted. Using numerical simulation method, the influence of key structural parameters, such as the curvature, unit angle and thickness of the lateral spoke and the tread thickness, on tire fatigue life is studied. The results show that the fatigue life prediction method proposed can be used to predict the fatigue life of flexible spoke non-pneumatic tire, and the fatigue life of non-pneumatic tire with flexible spoke can be improved by selecting appropriate structural parameters, which could provide some reference for the structural optimization design of the fatigue performance of the non-pneumatic tire.

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Rapid Characterization of Fatigue Performance With Application to Additive Manufactured Components

Volume 10B: Structures and Dynamics ◽

10.1115/gt2020-14727 ◽

2020 ◽

Author(s):

Dino A. Celli ◽

M.-H. Herman Shen ◽

Onome E. Scott-Emuakpor ◽

Tommy J. George

Keyword(s):

Experimental Data ◽

Fatigue Life ◽

Life Prediction ◽

Prediction Method ◽

Experimental Tests ◽

Parameter Selection ◽

Process Parameter ◽

Fatigue Life Prediction ◽

Fatigue Performance ◽

Cycles To Failure

Abstract The aim of this paper is to provide a fatigue life prediction method which can concurrently approximate both SN behavior as well as the inherent variability of fatigue efficiently with a limited number of experimental tests. The purpose of such a tool is for the quality assessment and verification of components using Additive Manufacturing (AM) processes and other materials with a limited knowledgebase. Interest in AM technology is continually growing in many industries, such as aerospace, automotive, or biomedical. But components often result in highly variable fatigue performance. The determination of optimal process parameters for the build process can be an extensive and costly endeavor due to either a limited knowledgebase or proprietary restrictions. Quantifying the significant variability of fatigue performance in AM components is a challenging task as there are many causes including machine to machine differences, recycles of powder, and process parameter selection. Therefore, a life prediction method which can rapidly determine the fatigue performance of a material with little or no prior information of the material and a limited number of experimental tests is developed as an aid in process parameter selection and fatigue performance qualification. This is performed by using a previously developed and simplistic energy based fatigue life prediction method, or Two Point method, to predict the inherent variability associated with fatigue performance. The proposed approach is verified by using predicted distributions of stress and cycles to failure and comparing with experimental data at 104 and 106 cycles to failure. SN life prediction is modeled via a modified Random Fatigue Limit (RFL) model where the two RFL model parameters are evaluated using Bayesian statistical inference and stochastic sampling techniques for distribution estimation. This is performed in a dynamic way such that the life prediction model is continually updated with the generation of experimental data.

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A multiaxial fatigue life prediction method for metallic material under combined random vibration loading and mean stress loading in the frequency domain

International Journal of Fatigue ◽

10.1016/j.ijfatigue.2021.106235 ◽

2021 ◽

pp. 106235

Author(s):

Daiyang Gao ◽

Weixing Yao ◽

Weidong Wen ◽

Jie Huang

Keyword(s):

Fatigue Life ◽

Frequency Domain ◽

Life Prediction ◽

Random Vibration ◽

Prediction Method ◽

Multiaxial Fatigue ◽

Fatigue Life Prediction ◽

Mean Stress ◽

Metallic Material ◽

Vibration Loading

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The application of a statistical fatigue life prediction method to agricultural equipment

International Journal of Fatigue ◽

10.1016/0142-1123(87)90053-3 ◽

1987 ◽

Vol 9 (2) ◽

pp. 115-118 ◽

Cited By ~ 5

Author(s):

B HARRAL

Keyword(s):

Fatigue Life ◽

Life Prediction ◽

Prediction Method ◽

Fatigue Life Prediction ◽

Agricultural Equipment

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Fatigue Life Prediction of Buckling String with Cracks in Horizontal Wells of Mining Engineering

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.577.127 ◽

2012 ◽

Vol 577 ◽

pp. 127-131 ◽

Cited By ~ 1

Author(s):

Peng Wang ◽

Tie Yan ◽

Xue Liang Bi ◽

Shi Hui Sun

Keyword(s):

Fatigue Life ◽

Prediction Model ◽

Life Prediction ◽

Horizontal Well ◽

Drill Pipe ◽

Prediction Method ◽

Drill String ◽

Fatigue Life Prediction ◽

Mining Engineering ◽

Life Prediction Model

Fatigue damage in the rotating drill pipe in the horizontal well of mining engineering is usually resulted from cyclic bending stresses caused by the rotation of the pipe especially when it is passing through curved sections or horizontal sections. This paper studies fatigue life prediction method of rotating drill pipe which is considering initial crack in horizontal well of mining engineering. Forman fatigue life prediction model which considering stress ratio is used to predict drill string fatigue life and the corresponding software has been written. The program can be used to calculate the stress of down hole assembly, can predict stress and alternating load in the process of rotating-on bottom. Therefore, establishing buckling string fatigue life prediction model with cracks can be a good reference to both operation and monitor of the drill pipe for mining engineering.

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