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Failure modeling and reliability analysis for motion mechanism with clearance joints under plastic deformation and wear

Liu Jingyi, Xue Shilong, Zhang Kaichao, Pang Huan

Eksploatacja i Niezawodność

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2023

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Vol. 25, no. 3

art. no. 169920

EN

The performance failure and reliability of motion mechanism has a significant effect on industry reliability, operation safety and production economy. Motion precise is one of the typical performance indicators especially for motion mechanism with multibody and joints, which will be influenced by necessary joint clearance. Size of joint clearance degenerates with usage such as wear and deformation. Repeated start-stop lead to impact stress and plastic deformation for clearance joint particularly for mechanism with high load and long working cycles. Nevertheless, current research ignoring the coupling of plastic deformation and wear, which will cause a different wear process and mechanism performance failure. This study attempts to investigate the wear process and performance failure model of multibody mechanism with clearance joints considering plastic deformation and wear. Quantification of plastic deformation caused by repeated impact stress of joints is studied by formulation. Then, a novel wear process model is established on the basis of Archard model, after which performance failure indicator of motion mechanism is conducted. In case study case, a linkage motion mechanism with multi revolution joints used in industry assemble line is studied to demonstrate proposed methods and models. This investigative study provides valuable guidelines for degeneration prediction and failure or reliability analysis of motion mechanism.

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A mechanism reliability analysis method considering environmental influence and failure modes’ correlation : a case study of rifle automaton

Fang Yi-chuan, Wang Yong-juan, Sha Jin-long, Gu Tong-guang, Zhang He

Eksploatacja i Niezawodność

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2023

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Vol. 25, no. 2

art. no. 166145

EN

In order to overcome the challenge of quantifying the influence of environmental conditions and the coexistence of multiple failure modes involved in mechanism reliability modelling under different environments. In this paper, we propose a method for the analysis of mechanism reliability that takes into account the influence of environmental factors and failure modes’ correlation, quantifies the influence of environmental factors as the random distribution and degradation path of parameters, and derives the Copula description of failure mode correlation from the historical data of environmental experiments. On the basis of the discrete mechanism dynamics model, the output parameters of the characteristic points are calculated, and the failure rate of each failure mode is calculated based on the failure criterion and the performance margin theory. Additionally, the dynamic change pattern of the mechanism reliability is compared with the Kaplan-Meier estimation of the corresponding environmental test history data to assess the validity of the calculation results. The reliability modelling problem of a motion mechanism of an automatic rifle automaton in a high and low temperature environment is applied to the method, and the reliability calculation results are close to those of Kaplan-Meier estimation of the test history data, and all are within the upper and lower bounds given by the reliability boundary theory, demonstrating the method's validity.

3

A new assessment method of mechanism reliability based on chance measure under fuzzy and random uncertainties

Zhang L., Zhang J., Zhai H., Zhou S.

Eksploatacja i Niezawodność

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2018

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Vol. 20, no. 2

219--228

EN

The traditional reliability analysis methods based on probability theory and fuzzy set theory have been widely used in engineering practice. However, these methods are unable directly measure the uncertainty of mechanism reliability with uncertain variables, i.e., subjective random and fuzzy variables. In order to address this problem, a new quantification method for the mechanism reliability based on chance theory is presented to simultaneously satisfy the duality of randomness and the subadditivity of fuzziness in the reliability problem. Considering the fact that systems usually have multilevel performance and the components have multimode failures, this paper proposes a chance theory based multi-state performance reliability model. In the proposed method, the chance measure is adopted instead of probability and possibility measures to quantify the mechanism reliability for the subjective probability or fuzzy variables. The hybrid variables are utilized to represent the random and fuzzy parameters, based on which solutions are derived to analyze the chance theory based mechanism reliability with chance distributions. Since the input parameters of the model contain fuzziness and randomness simultaneously, an algorithm based on chance measure is designed. The experimental results on the case application demonstrate the validity of the proposed method.

PL

Tradycyjne metody analizy niezawodności oparte na teorii prawdopodobieństwa i teorii zbiorów rozmytych znajdują szerokie zastosowanie w praktyce inżynierskiej. Jednak metod tych nie można stosować do bezpośredniego pomiaru niepewności niezawodności przy niepewnych zmiennych, tj. subiektywnych zmiennych losowych i rozmytych. Aby zaradzić temu problemowi, przedstawiono nową metodę kwantyfikacji niezawodności opartą na teorii szansy, która jednocześnie spełnia aksjomaty dwoistości losowości oraz subaddytywności związanej z rozmytością w problemach niezawodności. Biorąc pod uwagę fakt, że systemy zazwyczaj charakteryzują się wielopoziomową strukturą, a uszkodzenia elementów składowych mają charakter wieloprzyczynowy, w niniejszym artykule zaproponowano model niezawodności eksploatacji systemu wielostanowego oparty na teorii szansy. W proponowanej metodzie, zamiast miar prawdopodobieństwa i możliwości, do kwantyfikacji niezawodności, w przypadku gdy dane są subiektywne zmienne losowe lub zmienne rozmyte, przyjęto miarę szansy wystąpienia zdarzenia. Do reprezentacji parametrów losowych i rozmytych wykorzystano zmienne hybrydowe, które stanowią podstawę dla wyprowadzenia rozwiązań w celu analizy niezawodności mechanizmu opartej na teorii szansy z rozkładem szans. Ponieważ parametry wejściowe modelu noszą jednocześnie znamiona rozmytości i losowości, opracowano algorytm oparty na mierze szansy. Wyniki eksperymentalne otrzymane na podstawie studium przypadku dowodzą poprawności proponowanej metody.