A Parameter Fluctuation Impact Analysis Algorithm for The Control of Sealing Performance Stability

With the development of measurement technology and the emergence of heuristic algorithms, various matching algorithms have been proposed to improve the assembly accuracy and qualification rate of precision products. However, most algorithms make it easier to define the objective function, which is not in line with practical engineering. These algorithms are not suitable where there are strict requirements for assembly performance and can result in a waste of resources. In the background of the problem that valve components are prone to seal failure after assembly due to the fluctuation in matching dimension, a matching algorithm is proposed in this paper for reducing the impact of matching dimension’s fluctuation on assembly performance. The law of the dimension interference’s effect on sealing performance is first researched and mapped as the sealing quality loss curve, from which the objective function is established. A simple and efficient discrete particle swarm algorithm is then chosen and three local search strategies are proposed for the problem, one of which has been used to improve the performance of the algorithm. Finally, the effectiveness of the matching algorithm in reducing assembly performance fluctuation is verified through a comparative experiment.