The invention provides a mechanical product
assembly performance
simulation uncertainty analysis method. According to the method, the influence of each uncertainty
influence factor on the
assembly performance in different links of the
simulation process is considered, the uncertainty influence factors in the
simulation process are divided into two types, and quantitative analysis of uncertainty is carried out respectively. The
first class comprises a measurement link, a modeling link and a simulation analysis link in the early stage of simulation, and the influence factors of the class can be used for directly calculating the uncertainty u or error; the second type of influence factors are external loads, boundary conditions and
assembly performance uncertainty caused by non-linear links caused by process parameters mainly including
geometric error distribution, and for the type of influence factors, the method combines optimal SVR proxy model construction and Sobol
global sensitivity analysis on the basis of a simulation analysis result of a physical digital twinborn model, so that the assembly performance uncertainty caused by the non-linear links caused by the process parameters mainly including the external loads, the boundary conditions and the process parameters mainly including the
geometric error distribution is obtained. And quantitatively analyzing the sensitivity of the assembly performance to the process parameters. In conclusion, the method provides guidance for the product assembly process.