基于INSGA-Ⅲ算法的船舶舱室喷涂轨迹规划

Spraying trajectory planning for ship cabin based on INSGA-Ⅲalgorithm

[目的]舱室喷涂是船舶涂装至关重要的环节之一,喷涂轨迹规划直接影响涂装作业效率和涂层品质,而舱室喷涂环境比较复杂。[方法]首先对舱室喷涂区域进行划分,分别建立不同区域的漆膜厚度成长模型,以考虑涂层质量、喷涂效率和涂料用量多目标优化建立喷涂轨迹目标函数,并采用混合改进多目标优化算法INSGA-Ⅲ求解目标函数。设计算法流程,生成各区域喷涂工艺优化方案,并进行喷涂轨迹仿真。[结果]按优化后的轨迹进行喷涂,涂层厚度均匀性满足舱室涂层质量要求,同时喷涂轨迹规划效率和涂料利用率显著提升,舱室涂装成本有效降低。[结论]该方法在提升轨迹规划效率、保证喷涂质量与均匀性等方面表现出色,为后续提升舱室涂装技术奠定了基础。

[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.