Mode-I fatigue crack growth analysis of V-ribbed belts

Sundararaman, Saikrishna; Liang, Guanghui; Chandrashekhara, K.; Oliver, Larry R.; Holmes, S. G.

doi:10.1016/j.finel.2007.05.003

Cited by 9 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nassiri 14 used finite element method (FEM) for modeling load distribution and the dynamic behavior of accessory timing belts in a car. In a study by Sundararaman et al, 15 a model was presented for crack growth prediction in V-ribbed belts in which fatigue theory equations were adopted for crack modeling and growth prediction. Shim and Kim first explored the causes of failure and its roots in toothed belts and then developed a FEM-based model for modeling their service life.…”

Section: Backward Knowledge and Necessity Of The Researchmentioning

confidence: 99%

Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure

Khazaee

Banakar

Ghobadian

et al. 2016

Structural Health Monitoring

View full text Add to dashboard Cite

In this research, an intelligent procedure was designed and implemented based on vibration signals for detecting and classifying prevalent faults of an internal combustion engine timing belt. The vibration signals of the timing belt were captured during operation in six different states: healthy, tooth crack, back crack, wear, separated tooth, and oil pollution. These signals were processed at three domains, namely, time, frequency, and time-frequency domains. Time-domain signals were transformed into the frequency and time-frequency domains using fast Fourier transform and wavelet transform, respectively. Then, six statistical features were extracted from vibration signals at all three domains. The extracted features were used as inputs to an artificial neural network for the primary classification of timing belt defects. Classification accuracy of artificial neural network in detecting and classifying timing belt faults in the time, frequency, and time-frequency domains have obtained 71%, 78%, and 84%, respectively. Combining separate classification accuracies from time, frequency, and time-frequency domains has been implemented using Dempster-Shafer theory of evidence. Classification accuracy based on the fusion of time-and frequency-domain classifiers was 97%, from time and timefrequency results was 98%, and from frequency and time-frequency results was also 98%, whereas the combination of results for all domains led to a .99% accuracy. Results show that the proposed methodology can detect and classify timing belt defects with high precision and reliability before failure occurrence.

show abstract

Section: Backward Knowledge and Necessity Of The Researchmentioning

confidence: 99%

Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure

Khazaee

Banakar

Ghobadian

et al. 2016

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…When belts are modeled using finite element analysis (FEA), the physical properties of the rubber and cords are combined to yield the resulting physical behavior of the belts [1,5,9,18,19], the internal cords are modeled using beam elements [13] or using rebar elements [2,3,6,7,8,10,11,12,[20][21][22][23][24][25]. Studies that have modeled belts based on a single physical behavior have defined the behavior using isotropic elasticity [1], hyperelasticity [5], the Halpin-Tsai composite equation [9], or theoretically derived belt constitutive equations [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…This characteristic cannot be reproduced when beam elements are used to represent cords. In other studies [2,3,6,7,8,10,11,12,[20][21][22][23][24][25], rebar elements were used to represent the cords in belts. However, rebar elements cannot duplicate the bending behavior of cords either because rebar elements are used to define uniaxial reinforcement.…”

Section: Introductionmentioning

confidence: 99%

“…Although fewer elements are used in the equivalent cord models than in the wire cord model, the number of elements required is still large when all the equivalent cord models are inserted in a whole tire model. To solve this problem, a globallocal analysis [3,[22][23][24][25] was conducted. The global model used rebar elements in the belt to reduce the number of required elements when modeling the whole tire, and the local model used one of the equivalent cord models proposed in the present study to implement the second and third layers of the tire belt.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Finite element analysis of a tire using an equivalent cord model

Cho

Lee

Jeong

2015

Finite Elements in Analysis and Design

View full text Add to dashboard Cite

Fatigue assessment of cord rubber composite air spring bellows based on specimen testing and numerical analysis

Torggler,

Faethe,

Müller

et al. 2024

J of Applied Polymer Sci

View full text Add to dashboard Cite

Rail vehicle air spring bellows consisting of cord rubber composites are subject to a wide variety of stresses. It is therefore crucial to understand the fatigue behavior of such components, as the development process involves the use of empirical methods, which are both time‐consuming and costly. This paper outlines a methodology for assessing the fatigue strength of air spring bellows through representative specimen testing. Ten component tests and a validated numerical model of the air spring bellows are presented. The primary loading scenario investigated in this study is pure pulsating tensile stress with a strain ratio R in the range of 0–0.25. This scenario is considered to be highly damaging, leading to delamination. Comprehensive damage analysis of the specimen is performed using microcomputed tomography. To ensure the transferability of the results, a failure criterion is defined as 20% elongation of the specimen, based on the defined 10% internal pressure drop for the bellow. After statistical evaluation, the transferability of the specimen tests to the component is validated using a local fatigue approach. The correlation coefficient R2 is 0.84, indicating a sound agreement between model and tests with 7 points out of 10 within a scatter factor of 2.

show abstract

Mode-I fatigue crack growth analysis of V-ribbed belts

Cited by 9 publications

References 18 publications

Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure

Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure

Finite element analysis of a tire using an equivalent cord model

Fatigue assessment of cord rubber composite air spring bellows based on specimen testing and numerical analysis

Contact Info

Product

Resources

About