| DONG Hui-fen,LIU Jia-qi.Multi-objective Parameter Mixing Optimization of Dry Ice Cleaning for Navigation Aids Lamps[J],51(6):390-398 |
| Multi-objective Parameter Mixing Optimization of Dry Ice Cleaning for Navigation Aids Lamps |
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| DOI：10.16490/j.cnki.issn.1001-3660.2022.06.038 |
| KeyWord:navigation aids lamps dry ice cleaning multi objective model parameter optimization genetic algorithm simulated annealing algorithm |
| Author | Institution |
| DONG Hui-fen |
Civil Aviation University of China, Tianjin , China |
| LIU Jia-qi |
Civil Aviation University of China, Tianjin , China |
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| Abstract: |
| 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 10.801 7 cm, the angle is 77.459 5°, the flow rate is 0.630 1 L/min, and the time is 2.207 0 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. |
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