Journal of System Simulation
Abstract
Abstract: Aiming at the difficulty during the process design of the automatic screw machines, such as low efficiency and poor quality, a screw machine process design and verification system is developed. Supported by image recognition technology, the system would automatically obtain the quantity and the locations of the screwing holes from the top view. An optimization model will be established to optimize the tightening sequence of the screw according to RSA (Radar Spiral Algorithm) and improved genetic algorithm. An integration is conducted into Tecnomatix to simulate those optimized sequence in case of collision. The results indicate that the error range between the coordinate obtained by image recognition technology and the real one is tiny enough for simulation; applying adapted mutation to generic algorithm helps to speed up the convergence in early stage and escape the local optimal solution in late stage simultaneously; optimizing with RSA and improved genetic algorithm can not only improve the efficiency of searching the solution, but also shorten the screwing path based on the process requirements.
Recommended Citation
Sun, Guodong and He, Qichang
(2021)
"Research on Intelligent Design and Simulation Method of Screw Machine Process,"
Journal of System Simulation: Vol. 33:
Iss.
1, Article 7.
DOI: 10.16182/j.issn1004731x.joss.19-0217
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/7
First Page
62
Revised Date
2019-08-26
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0217
Last Page
73
CLC
TP311.5
Recommended Citation
Sun Guodong, He Qichang. Research on Intelligent Design and Simulation Method of Screw Machine Process[J]. Journal of System Simulation, 2021, 33(1): 62-73.
DOI
10.16182/j.issn1004731x.joss.19-0217
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