Spraying trajectory planning for ship cabin based on INSGA-Ⅲ algorithm
[Introduction]The spraying of cabins is a crucial part of ship painting.The planning of spraying trajectory directly affects the painting efficiency and coating quality.The situation of cabin spraying is relatively complicated.[Method]The cabin was divided into different structural areas,and the growth models of coating thickness were established for different areas.A multi-objective function for optimization of spraying trajectory was established by considering the coating quality,spraying efficiency,and paint consumption,and then solved by an improved non-dominated sorting genetic algorithm(INSGA-Ⅲ).The parameters of spraying process were determined based on the calculation results of the algorithm and verified by numerical simulation.[Result]The thickness uniformity of coating sprayed according to the optimized trajectory met the requirements of cabin coating quality,greatly improving the efficiency of trajectory planning and coating utilization,and reducing the cost for cabin painting.[Conclusion]The method is favorable for improving not only the efficiency of trajectory planning but also the quality and uniformity of coating,laying a foundation for subsequent improvement of cabin painting technology.
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