Page 143 - 《爆炸与冲击》2023年第2期

第 43 卷 陈源捷，等： 基于ESGA遗传算法的水射流自驱旋转喷头优化设计 第 2 期

果与原方案相比，其冲击能量分布均匀度分别提升了 47.2% 和 45.2%，前者优化幅度优于后者。
(2) 基于船壁爬壁机器人载体平台，以钢制船壁基材表面达到 Sa2.5 为清洁标准，对经 ESGA 算法优

化后的喷头进行试验验证。试验结果表明，ESGA 优化方案较原设计方案除锈效率提高 42.0%。
该喷头布局优化技术不仅可以用于优化原布局方案，还可以根据实际技术要求直接在概念设计前
期进行喷头快速布局设计。然而，该方法目前仍然存在一些不足，由于自驱旋转型喷头的布置较复杂，
通常需要调整喷嘴的冲击角来使喷头达到期望的转速，而目前仅考虑喷头布局位置参数，未将喷头转速
纳入优化约束中。因此，后续将针对上述问题进一步开展相关的研究工作，以更加全面、有效地解决此
类问题。

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