The flip drug delivery mechanism plays a crucial role in an ammunition automatic loading system,and its motion accuracy reliability is of paramount importance to ensure the seamless execution of the delivery action.Existing researches on the motion accuracy reliability of this mechanism primarily rely on probabilistic models for input parameters,which necessitates a large amount of experimental data to determine the probability distribution function of these parameters.However,acquiring such data can be prohibitively expensive or even unattainable for many practical engineering problems.Nevertheless,considering the input variables as non-probabilistic interval models can partially alleviate these challenges since interval models do not require detailed sample characteristics but only necessitate determining the uncertain range or boundary of these variables,which is comparatively easier than determining their probability distribution.Building upon this foundation,a novel time-dependent reliability analysis method was proposed in this paper based on non-probabilistic interval models for evaluating the motion accuracy reliability of this mechanism.The method aims to search for the local extremum moments of the output response interval domain within the complete motion time interval of the mechanism.A non-probabilistic reliability index was introduced to evaluate and analyze the instantaneous motion accuracy reliability of these local extremum moments,thereby transforming the time-varying reliability problem into an instantaneous reliability problem.The proposed method can be applied to assess the reliability of motion accuracy in a flip drug delivery mechanism.The results demonstrate that this non-probabilistic time-dependent reliability analysis method holds significant guiding implications for analyzing the motion accuracy reliability of such mechanisms.
flip drug delivery mechanismmotion accuracy reliabilitynon-probabilistic interval modelextreme analysis
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