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作 者:董慧芬[1] 刘嘉祺 DONG Hui-fen;LIU Jia-qi(Civil Aviation University of China,Tianjin 300000,China)
机构地区:[1]中国民航大学,天津300000
出 处:《表面技术》2022年第6期390-398,共9页Surface Technology
基 金:天津市自然科学基金(17JCYBJC18200);中央高校基本科研业务费(3122016D032)。
摘 要:目的采用干冰清洗技术对助航灯具进行自动清洗,并对清洗参数进行多目标混合优化。方法以清洁度为评价指标,使用单一变量控制法进行试验,分析清洗工艺参数影响力,获得清洗距离、角度、流量、时间等参数的最佳范围。提出以提高清洁度,节约清洗原料,降低发光口磨损度,提升清洗效率为目标,构建多目标参数优化模型,以清洗参数为决策变量,通过GA-SA混合算法求解优化参数。最后,对设定权重下的子目标优化结果进行试验验证。结果在仅考虑清洁度这一目标时,试验结果表明,清洗距离范围为8.5~12 cm,清洗角度范围为70°~83°,清洗流量范围为0.6 L/min及以上,清洗时间范围为2 s及以上。通过求解多目标优化模型,获得清洗工艺参数组合,距离为10.8017 cm,角度为77.4595°,流量为0.6301 L/min,时间为2.2070 s。结论相较于传统助航灯具清洗方式,干冰清洗多目标参数混合优化获得的工艺参数组合在保证清洁度的前提下,可以实现同时使节约清洗原料、降低发光口磨损度、提升清洗效率达到理想效果的最优解,解决了人工手动清洗费时、耗力、成本高等问题。The dry ice cleaning technology is used to automatically clean the navigation aid lamps and the cleaning parameters are optimized by multi-objective mixing.Firstly,taking cleanliness as the evaluation index,the single variable control method is used to conduct experiments,analyze the influence of cleaning process parameters,and obtain the optimal range of parameters such as cleaning distance,angle,flow rate,and time;In order to improve the cleanliness,save cleaning raw materials,reduce the wear degree of luminous port,and improve the cleaning efficiency,a multi-objective parameter optimization model was established.Taking the cleaning parameters as decision variables,the GA-SA hybrid algorithm was used to solve the optimization parameters;Finally,experiments are carried out to verify the sub-objective optimization results under the set weights.The experimental results show that when only the objective of cleanliness is considered,the cleaning distance ranges is 8.5~12 cm,the cleaning angle ranges is 70°~83°,the cleaning flow range is 0.6 L/min and above,and the cleaning time range is 2 s and above;By solving the multi-objective optimization model,the combination of cleaning process parameters is obtained,the distance is 10.8017 cm,the angle is 77.4595°,the flow rate is 0.6301 L/min,and the time is 2.2070 s.Compared with the traditional cleaning method of navigation aids lamps,the combination of process parameters obtained by multi-objective parameters mixed optimization of dry ice cleaning can achieve the optimal solution of saving cleaning raw materials,reducing the wear degree of luminous port,improving the cleaning efficiency and achieving the desired effect on the premise of ensuring the cleanliness,which solves the problems of time-consuming,labor-consuming and high cost of manual cleaning.
关 键 词:助航灯具 干冰清洗 多目标模型 参数优化 遗传算法 模拟退火算法
分 类 号:V216[航空宇航科学与技术—航空宇航推进理论与工程]
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