An Improved Model for Predicting the Scattered S-N Curves

Klemenc, Jernej; Podgornik, Bojan

doi:10.5545/sv-jme.2018.5918

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…By the statistical analysis on cycle times, the S-N curve slope is B = 5.68 under the condition of N ≥ 10 6 depending on the reference [18]. When plugging N = 10 6 into (26), there is…”

Section: The Corrected S-n Curve By the Dfr Methods Depending On The Beam Structurementioning

confidence: 99%

Fatigue Models Based on Real Load Spectra and Corrected S-N Curve for Estimating the Residual Service Life of the Remanufactured Excavator Beam

Zhao

Xiao

Zhou

2021

Metals

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To more accurately predict the residual fatigue cycles and estimate the service life of the remanufactured excavator, the fatigue models integrating the corrected S-N curve, the RFC algorithm, the FEA model, and the mechanism dynamic model are established depending on the real load spectra under experimental working conditions and the corrected S-N curve of the beam metal remanufactured with the welding process. Depending on the test data of the unidirectional stress history and the servo displacements of the major cylinders, the mechanism dynamic model was first established to illustrate the real load spectra applied on the pivots of the working beam. The load spectra are further used in the finite element analysis (FEA) model to obtain the stress contours of the beam relevant to the sampling time, which is the stress spectra at any nodes on the beam in theory. Subsequently, the rain flow counting (RFC) algorithm based on the dual parameters of the cyclic stress amplitude and mean is established to provide the frequency spectra in the longevity region on the beam. Furthermore, due to the fatigue property changes of the beam metal remanufactured with the welding process, its S-N curve is corrected based on the detail fatigue rating (DFR) method to compute the stress cycles at each stress level on the crisis nodes. Finally, the total stress cycles that can be burdened by the remanufactured beam is computed under the Miner’s linear fatigue cumulative criterion. The total number of stress cycles is eventually converted to the fatigue and service life depending on the proportion of the sampling time under relevant working conditions. The results show that integrated fatigue models provide a practical approach to enhancing the accuracy of the estimation on the residual service life of the remanufactured excavator beam. It is significant for improving the reliability and safety of the remanufactured excavator.

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“…By the statistical analysis on cycle times, the S-N curve slope is B = 5.68 under the condition of N ≥ 10 6 depending on the reference [18]. When plugging N = 10 6 into (26), there is…”

Section: The Corrected S-n Curve By the Dfr Methods Depending On The Beam Structurementioning

confidence: 99%

Fatigue Models Based on Real Load Spectra and Corrected S-N Curve for Estimating the Residual Service Life of the Remanufactured Excavator Beam

Zhao

Xiao

Zhou

2021

Metals

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“…The universal slopes method coupled with MSE analysis was used in [61] for a couple of sets of strain life data; it should be consulted for further details. Also, an equivalent form of Equation (3) was suggested in [62]. Standard nonlinear regression for Equation (3) yields the following parameter estimations: a = 1.35 × 10 9 MPa-cyc b , b = 1.74, c = 246.3 MPa-cyc d , and d = 0.115.…”

Section: Annealed Aluminum Wirementioning

confidence: 99%

Statistically Modeling the Fatigue Life of Copper and Aluminum Wires Using Archival Data

Harlow

2023

Metals

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It has been known for at least 150 years that fatigue life data exhibits a considerable amount of variability. Furthermore, statistically modeling fatigue life adequately is challenging. Different empirical approaches have been used, each of which has merit; however, none is appropriate universally. Even when a sufficiently robust database exists, the scatter in the fatigue lives may be extremely large and difficult to characterize. The purpose of this work is to review traditional and more modern empirically based methodologies for estimating the statistical behavior of fatigue data. The analyses are performed on two historic sets of data for annealed aluminum wire and annealed electrolytic copper wire tested in reverse torsion fatigue. These data are readily available In publications. Specifically, the review considers a traditional method for stress-cycle (S-N) analysis which includes linear regression through load dependent medians and mean square error (MSE) confidence bounds. Another approach that is used is Weibull distribution estimation for each loading condition, from which estimations for the median behavior and confidence bounds are determined. The preferred technique is the development of a cumulative distribution functions for fatigue life, which contains aspects of traditional reliability, classical S-N, and applied loading modeling. Again, confidence bounds are estimated for this technique. Even though it is an empirical technique, there are mechanistic aspects that underlie the empiricism. This approach is suggested because the method is very robust, and the estimation is more accurate than the other methods.

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Bayesian inference-based decision of fatigue life model for metal additive manufacturing considering effects of build orientation and post-processing

Doh

Nedunchezhian

Raghavan

et al. 2022

International Journal of Fatigue

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An Improved Model for Predicting the Scattered S-N Curves

Cited by 5 publications

References 15 publications

Fatigue Models Based on Real Load Spectra and Corrected S-N Curve for Estimating the Residual Service Life of the Remanufactured Excavator Beam

Fatigue Models Based on Real Load Spectra and Corrected S-N Curve for Estimating the Residual Service Life of the Remanufactured Excavator Beam

Statistically Modeling the Fatigue Life of Copper and Aluminum Wires Using Archival Data

Bayesian inference-based decision of fatigue life model for metal additive manufacturing considering effects of build orientation and post-processing

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