TY - GEN
T1 - A Parameter Fluctuation Impact Analysis Algorithm for The Control of Sealing Performance Stability
AU - Qiu, Lin
AU - Zhang, Niansong
AU - Wang, Aimin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Local search strategy
KW - Matching algorithm
KW - Performance loss function
KW - Precision assembly
UR - http://www.scopus.com/inward/record.url?scp=85170829357&partnerID=8YFLogxK
U2 - 10.1109/ICMA57826.2023.10216008
DO - 10.1109/ICMA57826.2023.10216008
M3 - Conference contribution
AN - SCOPUS:85170829357
T3 - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023
SP - 1460
EP - 1465
BT - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023
Y2 - 6 August 2023 through 9 August 2023
ER -