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为兼顾固体火箭发动机水射流清理工艺的安全性、高效性、环保性,在水射流清理实验和废水收集实验的基础上,以清理作业中推进剂质量损失速率、废水产生速率为优化目标,以射流压力、靶距、喷嘴直径、单次清理时间为变量并加以约束条件,建立了固体火箭发动机水射流清理工艺的多目标优化方法。利用代理模型技术建立了推进剂质量损失速率的代理计算模型和废水产生速率的理论计算模型,使用非支配排序遗传算法(NSGA-Ⅱ)求得了Pareto优化解集。该优化解集可为不同情况下的水射流清理工艺设计中推进剂质量损失速率和废水产生速率的匹配提供多种方案。用推进剂质量损失速率和废水产生速率的最佳匹配,由HTPB推进剂单位质量损失所造成的废水产生量仅为14.25 m L·g-1。
In order to balance the safety, efficiency and environmental friendliness of the water jet cleaning process of solid rocket motor, based on the experiments of water jet cleaning and waste water collection, the rate of mass loss of propellant in cleaning operation and the rate of wastewater generation are taken as the optimization objectives. Jet pressure, target distance, nozzle diameter and single cleaning time as variables and constraints, a multi-objective optimization method of water jet cleaning technology for solid rocket motor was established. A proxy calculation model of propellant mass loss rate and theoretical calculation model of wastewater generation rate were established by using proxy model technology. The Pareto optimal solution set was obtained by non-dominated ranking genetic algorithm (NSGA-Ⅱ). This optimized solution set offers a variety of options for matching the rate of mass loss of propellant to the rate of waste water production in a water jet scrubbing process design under different conditions. With the best match between the rate of mass loss of propellant and the rate of wastewater generation, the amount of wastewater generated per unit mass loss of HTPB propellant was only 14.25 m L · g -1.