Fatigue life prediction of parabolic leaf spring under various road conditions

Kong, Y. S.; Omar, Mohd Zaidi; Chua, L. B.; Abdullah, Shahrum

doi:10.1016/j.engfailanal.2014.07.020

Cited by 42 publications

(16 citation statements)

References 19 publications

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“…The significance of loading signals was further investigated by Palmieri et al [7], where they proposed that the fatigue life was significantly affected by the stationarity and Gaussian properties. However, in the case of real vehicle applications, the loading signals are always non-stationary, which make the analysis complex [8].…”

Section: Introductionmentioning

confidence: 99%

Vibration Fatigue Analysis of Carbon Steel Coil Spring under Various Road Excitations

Kong

Abdullah

Schramm

et al. 2018

Metals

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This paper presents the evaluation of frequency-based approach predicted spring using acceleration signals that were collected from various road conditions. Random loadings in the forms of acceleration are nominal and more flexible for vehicle components fatigue assessment. In this analysis, the strain time history of the spring and acceleration signals of the suspension strut was measured from three different road conditions. The acceleration signals were then transformed into power spectra density (PSD). PSD cycle counter, like Lalanne, Dirlik, and narrow band approach, was applied to obtain equivalent load cycles. The stress response was obtained through having the equivalent load cycles with a spring modal frequency response function (FRF) and different stress criterion, like absolute maximum principal and critical plane approaches. Then, the stress response was used to predict the spring fatigue life using stress-life (S-N) approach. The results revealed that the harshest road condition was the rural road where the spring with fatigue life of 4.47 × 107 blocks to failure was obtained. The strain predicted fatigue life was used to validate the frequency-based predictions using a conservative approach. It was found that the Dirlik approach has shown the closest results to the strain life approach, which suggested that the Dirlik approach could be used for spring fatigue life prediction with the acceptable accuracy.

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Section: Introductionmentioning

confidence: 99%

Vibration Fatigue Analysis of Carbon Steel Coil Spring under Various Road Excitations

Kong

Abdullah

Schramm

et al. 2018

Metals

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“…The rural area roads consisted of unpaved road surface and substantial numbers of potholes when compared to the smooth highway road. Hence, the rural road was contributing to automobile coil spring fatigue life reduction [43]. The acceleration signals of the top mount and lower arm from two selected rural measured roads are shown in Figures 10, and 11, respectively.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Energy-Based Model Generated Strain Signals for Carbon Steel Spring Fatigue Life Assessment

Kong

Abdullah

Schramm

et al. 2019

Metals

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This paper presents the evaluation of the automobile coil-spring strain-displacement relationship for strain signals generation and fatigue life predictions. The development of a strain and spring vertical displacement relationship is significant because measuring vehicle wheel displacements and forces are complex and costly. Hence, there is a need to estimate the strain data using alternative measurement, such as vibration signals. In this analysis, strain and acceleration data were collected from a vehicle that has travelled on different road conditions. Through the material elastic strain energy and spring potential energy relationship, a coil-spring parameterise strain-displacement relationship has been developed and evaluated using a scatter band and correlation approach. Using this proposed model, the strain time histories were obtained based on acceleration data. For fatigue life analysis, most of the predicted fatigue life was distributed in the acceptable range using the scatter band approach where the data correlated at coefficient of determination value (R2) of 0.8788. With a suitable correlation value, this analysis proposed an alternative strain generation method for suspension coil spring fatigue life prediction, which could significantly shorten the spring development time.

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“…Any changes in wire dimensions due to abrasion may influence the risk of spring failure. However, this prediction is only possible if the actual experiment has been conducted.A degradation in spring constant may exist after a spring undergone a certain number of compression cycles [13]. A lower spring constant may affect the performance of an arm since the exerted force by the spring is not according to their design.…”

Section: Resultsmentioning

confidence: 99%

Investigation on spring characteristics for small arms

Abidin

Ahamat

Arif

et al. 2018

J. Fundam and Appl Sci.

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The reliability of mechanical spring is essential to ensure the arm does works as Thus, it is important to understand the behavior of spring in arm to increase the reliability of arm and improve defence technology. This paper presents the simulation on reliability of springs in three small arms, namely weapon X, weapon Y and w used in these weapons were modelled in SOLIDWORK and the properties such as shear stre von Mises stress and potential for failure were predicted based on the simulation results. The simulation was extended to find alternati Z. It was found that the stainless steel AISI 304 yielded the lowest percentage of potential for failure of 8.5%. Future work is on the testing of spring reliability under actual operating conditions since it is essential to get a data on the fatigue failure or failure due to wear. The reliability of mechanical spring is essential to ensure the arm does works as Thus, it is important to understand the behavior of spring in arm to increase the reliability of arm and improve defence technology. This paper presents the simulation on reliability of springs in three small arms, namely weapon X, weapon Y and weapon Z. The springs that are used in these weapons were modelled in SOLIDWORK and the properties such as shear stre and potential for failure were predicted based on the simulation results. The simulation was extended to find alternative materials to fabricate the firing spring of weapon Z. It was found that the stainless steel AISI 304 yielded the lowest percentage of potential for failure of 8.5%. Future work is on the testing of spring reliability under actual operating nce it is essential to get a data on the fatigue failure or failure due to wear. spring mechanism; bolt spring; firing spring; small arm. The reliability of mechanical spring is essential to ensure the arm does works as intended.Thus, it is important to understand the behavior of spring in arm to increase the reliability of arm and improve defence technology. This paper presents the simulation on reliability of eapon Z. The springs that are used in these weapons were modelled in SOLIDWORK and the properties such as shear stress, and potential for failure were predicted based on the simulation results. The ve materials to fabricate the firing spring of weapon Z. It was found that the stainless steel AISI 304 yielded the lowest percentage of potential for failure of 8.5%. Future work is on the testing of spring reliability under actual operating nce it is essential to get a data on the fatigue failure or failure due to wear.

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Fatigue life prediction of parabolic leaf spring under various road conditions

Cited by 42 publications

References 19 publications

Vibration Fatigue Analysis of Carbon Steel Coil Spring under Various Road Excitations

Vibration Fatigue Analysis of Carbon Steel Coil Spring under Various Road Excitations

Evaluation of Energy-Based Model Generated Strain Signals for Carbon Steel Spring Fatigue Life Assessment

Investigation on spring characteristics for small arms

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