Prediction and evaluation of fatigue life via modified energy method considering surface processing

Wang, Haijie; Liu, Xintian; Chen, Tie; Xu, Shen

doi:10.1177/10567895211045120

Cited by 21 publications

(15 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of this, several studies analyze aerodynamic variables such as drag coefficient [28], vortices [29], turbulence [30], boundary layer, or stability [31], through experimental testing. The preceding literature also proved that prototypes such as the one presented here are also interesting in the evaluation of fatigue life [32,33], and lateral stability improvement [34].…”

Section: Methodssupporting

confidence: 62%

An Original Aerodynamic Ducting System to Improve Energy Efficiency in the Automotive Industry

et al. 2023

View full text Add to dashboard Cite

In the automotive industry, the flow of air generates high resistance in the advance of vehicles. In light of this situation, the objective of the present invention is to take advantage of the force of the air itself to help propel vehicles and thus reduce fuel consumption. A channeling system has been designed based on a deflector that collects the air that impacts against the vehicle at the front, transferring it to the rear where it is expelled, allowing the vacuum zone to be filled so that the high pressures of the channeled air are repositioned in the depression zone, significantly increasing the values of the pressures, including those that were previously negative. The deflector has been built and incorporated into a model car so that comparative experimental wind tunnel tests could be carried out to verify that the vacuum in the rear area is eliminated, and positive pressure is obtained.

show abstract

Section: Methodssupporting

confidence: 62%

An Original Aerodynamic Ducting System to Improve Energy Efficiency in the Automotive Industry

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Based on the surface roughness (Wang et al ., 2021a, b), this paper discusses its effect on fatigue life. For low alloy steels, Table 6 shows the test results for AISI 8630M steel, and the design S-N curve can be calculated in Wormsen et al.…”

Section: Prediction and Evaluation Of Fatigue Lifementioning

confidence: 99%

Prediction and evaluation of fatigue life considering material parameters distribution characteristic

Liu

Wang

et al. 2022

IJSI

Self Cite

View full text Add to dashboard Cite

PurposeTo improve the accuracy of parameter prediction for small-sample data, considering the existence of error in samples, the error circle is introduced to analyze original samples.Design/methodology/approachThe influence of surface roughness on fatigue life is discussed. The error circle can treat the original samples and extend the single sample, which reduces the influence of the sample error.FindingsThe S-N curve obtained by the error circle method is more reliable; the S-N curve of the Bootstrap method is more reliable than that of the Maximum Likelihood Estimation (MLE) method.Originality/valueThe parameter distribution and characteristics are statistically obtained based on the surface roughness, surface roughness factor and intercept constant. The original sample is studied by an error circle and discussed using the Bootstrap and MLE methods to obtain corresponding S-N curves. It provides a more trustworthy basis for predicting the useful life of products.

show abstract

“…According to Equation (33), the mileage of the lower arm under normal driving condition can be calculated as 326,500 km. When using the improved Corten-Dolan model for calculation, the cycle life of the lower arm can be found first substituting the data in the table into Equation (22). And the analysis yields the corresponding mileage is 235,200 km.…”

Section: Fatigue Life Prediction Of Lower Armmentioning

confidence: 99%

“…18 And he verified the influence of the stress frequency distribution and variable load waveform frequency calculation method on the degree of fatigue damage. 19 With the continuous development of fatigue theory of metallic materials, the fatigue theory of mechanical parts considering the effects of notch effect, 20 stress concentration, 21 and surface processing 22 has formed.…”

Section: Introductionmentioning

confidence: 99%

Random fatigue life prediction of automobile lower arm via modified Corten–Dolan model

Yang

Liu

Wang

2022

Fatigue Fract Eng Mat Struct

Self Cite

View full text Add to dashboard Cite

The fatigue life for the rear suspension lower arm of the passenger car is investigated. The road load signals collected by the sextant force measuring instrument are processed. And the frequency histogram of it is plotted and its distribution characteristics are analyzed. The load signal is extrapolated to a cumulative frequency of 10 6 using the parametric method, and the onedimensional load spectrum of the lower arm is compiled. Based on the nonlinear fatigue cumulative damage theory, Corten-Dolan model is modified by introducing the kth power of the stress ratio between two adjacent levels. The improved fatigue life prediction model is established and the validity of the model was determined by experimental data. And the improved Corten-Dolan and the linear cumulative damage model are used to predict the life of the lower arm under one-dimensional load spectrum respectively.

show abstract

Prediction and evaluation of fatigue life via modified energy method considering surface processing

Cited by 21 publications

References 34 publications

An Original Aerodynamic Ducting System to Improve Energy Efficiency in the Automotive Industry

An Original Aerodynamic Ducting System to Improve Energy Efficiency in the Automotive Industry

Prediction and evaluation of fatigue life considering material parameters distribution characteristic

Random fatigue life prediction of automobile lower arm via modified Corten–Dolan model

Contact Info

Product

Resources

About