scholarly journals Effect of Road Surface Contour to the Fatigue Life of a Coil Spring Based on Strain-Life Approach

2020 ◽  
Vol 739 ◽  
pp. 012014
Author(s):  
T E Putra ◽  
Husaini ◽  
M Ikbal
Keyword(s):  
Fatigue Life ◽  
Road Surface ◽  
Coil Spring ◽  
Surface Contour

Prediction of the Fatigue Life of the SAE 5160 Carbon Steel Coil Spring Based on Strain-Life Approach

2020 ◽  
Vol 841 ◽  
pp. 381-386
Author(s):  
Teuku Edisah Putra ◽  
Husaini ◽  
Hary Prakasa
Keyword(s):  
Fatigue Life ◽  
Carbon Steel ◽  
Critical Point ◽  
Strain Gauge ◽  
Road Surface ◽  
Coil Spring ◽  
Steel Coil ◽  
Cycles To Failure

This study aims to identify the effect of road surface to coil spring fatigue life using the strain-life approach. Strain signals were measured by attaching a strain gauge at the critical point of the component. The car was driven on a flat road, as well as uphill, and downhill paths. The results show that the downhill road provided the lowest fatigue life, of 1.5E+4 cycles to failure, which was 53 % lower than that of the uphill and 2,233 % lower than the flat road owing to the braking factor which resulted in a higher stress to the coil spring.

scholarly journals Durability Analysis for Coil Spring Suspension Based on Strain Signal Characterisation

2018 ◽  
Vol 7 (3.17) ◽  
pp. 104
Author(s):  
Chin Chuin Hao ◽  
Shahrum Abdullah ◽  
Ahmad Kamal Ariffin ◽  
Salvinder Singh Karam Singh
Keyword(s):  
Fourier Transform ◽  
Fatigue Life ◽  
Frequency Domain ◽  
Time Domain ◽  
Life Prediction ◽  
Energy Content ◽  
Fatigue Life Prediction ◽  
Coil Spring ◽  
Time Frequency ◽  
Strain Signal

This paper aims to predict the durability of an automobile coil spring by characterising the captured strain data. The load histories collected at coil spring are often presented in time domain but time domain cannot provide sufficient information for fatigue life prediction. The objective of this study was to characterise the strain signal in time domain, frequency domain and time-frequency domain for fatigue life prediction. The signal obtained in time domain was used to predict the fatigue life of the coil spring through Rainflow cycle counting technique and models of strain-life relationships. In frequency domain, fast Fourier transform revealed that the frequency components in the strain signal ranged between 0-5 Hz. The frequencies can be further categorised into two ranges: 0-0.3 Hz and 1-2 Hz. Power spectral density confirmed that the frequencies with high energy content were 0-5 Hz and the total energy content in the signal is 4.0872x103 µɛ2. Short time Fourier transform can identify the local time and frequency properties of the signal but it has a limitation in time-frequency resolutions. Wavelet transform can provide a better time-frequency resolutions and it confirmed that the transients in the time domain had frequency range of 1-2 Hz. In summary, this study revealed different possible approaches of signal processing in fatigue life assessment of automotive components as guidance for the selection of suitable approach based on the type of information needed for the analysis.  

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

Metals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 213 ◽  
Author(s):  
Yat Kong ◽  
Shahrum Abdullah ◽  
Dieter Schramm ◽  
Mohd Omar ◽  
Sallehuddin Mohamed Haris
Keyword(s):  
Fatigue Life ◽  
Elastic Strain Energy ◽  
Vertical Displacement ◽  
Life Assessment ◽  
Coefficient Of Determination ◽  
Coil Spring ◽  
Acceleration Data ◽  
Time Histories ◽  
Fatigue Life Analysis ◽  
Life Predictions

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.

Stress Analysis on an Automotive Coil Spring Driven on Flat, Uphill, and Downhill Road Surfaces

2021 ◽  
Vol 892 ◽  
pp. 124-128
Author(s):  
Harahap Jagodang ◽  
Husaini ◽  
Edisah Putra Teuku ◽  
Dieter Schramm
Keyword(s):  
Carbon Steel ◽  
Dynamic Analysis ◽  
Stress Analysis ◽  
Maximum Stress ◽  
Road Surface ◽  
Coil Spring ◽  
Vehicle Load ◽  
Road Surfaces ◽  
Dynamic Analyses

This study aims to analyze the stress that occurred on the automotive coil spring made of SAE 5160 carbon steel due to various types of road surfaces. The 60-second strain signals measured on a coil spring of a car being driven on a flat, uphill, and downhill road surface were used as the loads in these dynamic analyses. The analysis results showed that the maximum stress occurred on the inside of the spring in the second coil from the top. The results of this dynamic analysis also showed that the three types of road surfaces provided almost the same stress. The downhill road surface gave the highest stress, which was 0.622 GPa, followed by flat road (0.621 GPa) and uphill road (0.62 GPa). The reasons for this are the shifting of the vehicle load to the front wheels together with the braking effect when driving downhill.

The Fatigue Life of Plan Coil Spring Forecasts Based on Potential Boundary Element

2012 ◽  
Vol 472-475 ◽  
pp. 2952-2957
Author(s):  
Jin Yue Tian ◽  
Fa Yong Nie ◽  
Li Dong Chen
Keyword(s):  
Integral Equation ◽  
Fatigue Life ◽  
Potential Problem ◽  
Three Dimensional ◽  
Coefficient Matrix ◽  
Boundary Integral ◽  
Coil Spring ◽  
Cauchy Integral ◽  
Cauchy Principal ◽  
Logarithmic Integral

The stress distribution of structure in plan coil spring usually is three dimensional. The singularities of Cauchy principal integral and logarithmic integral during calculating the elements of the coefficient matrix are studied respectively so that the singularity of Cauchy integral is eliminated in this paper, which is based on boundary integral equation in axisymmetric potential problem. Moreover, the order of singularity in logarithmic integral is reduced. Comparison between the results deduced here and the analytical solutions shows that the present derivation is correct and the algorithm is efficient as well.

scholarly journals Fatigue Reliability Assessment of an Automobile Coil Spring under Random Strain Loads Using Probabilistic Technique

Metals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 12 ◽  
Author(s):  
Reza Manouchehrynia ◽  
Shahrum Abdullah ◽  
Salvinder Singh Karam Singh
Keyword(s):  
Fatigue Life ◽  
Probabilistic Model ◽  
Probabilistic Method ◽  
Gumbel Distribution ◽  
Experimental Tests ◽  
Information Criterion ◽  
Model Parameters ◽  
Coil Spring ◽  
Fatigue Reliability ◽  
Mean Square Errors

This paper presents a mathematical model to estimate strain-life probabilistic modeling based on the fatigue reliability prediction of an automobile coil spring under random strain loads. The proposed technique was determined using a probabilistic method of the Gumbel distribution for strain-life models of automobile suspension systems. Strain signals from different road excitations in experimental tests were measured. The probability density function of the Gumbel distribution was considered to estimate model parameters using maximum likelihood estimation (MLE). The Akaike information criterion (AIC) method was performed to specify which model can estimate the best fit model parameters. Results demonstrated a good agreement between the predicted fatigue lives of the proposed probabilistic model and the measured strain fatigue life models. The root-mean-square errors (RMSE) based on the Coffin–Manson, Morrow, and Smith–Watson–Topper strain-life models were approximately 0.00114, 0.00107, and 0.00509, respectively, indicating a high correlation with the proposed model and experimental data. The results demonstrated that the proposed probabilistic model is effective for the fatigue life prediction of automobile coil springs using strain and stress fatigue life approaches.

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