基于多目标遗传算法的特种车舱室送风系统优化设计

doi:10.12382/bgxb.2021.0632

摘要/Abstract

摘要： 特种车由于其舱内空间狭窄、人员密集等特点，送风系统难以同时保证多乘、载员人体热舒适性要求，需要对特种车舱室送风系统进行合理布局和优化设计。针对某型特种车，建立其舱室简化三维模型。选取预计平均热感度、空气龄、加权温度及头足温差作为送风系统性能优劣的评判标准，结合计算流体动力学和多目标遗传算法，对送风系统布局和参数分别进行仿真优化设计。仿真结果表明，采用顶部左右条缝及脚部送风口可以有效改善乘、载员热舒适性，提高送风系统性能。进一步分析帕累托最优解，得出顶部送风口位置、送风角度和回风口位置的最优取值。本优化设计结果满足设计指标要求，为特种车送风系统设计、优化工作提供了新的思路。

关键词: 特种车舱室, 送风系统, 预计平均热感度, 空气龄, 多目标遗传算法

Abstract: Due to the narrow and densely-populated space in the cabin of the special vehicle, it is difficult for the air supply system to meet the thermal comfort requirements of all the occupants, and thus it is necessary to optimize the design of the air supply system with reasonable layout of the special vehicle cabin. A simplified three-dimensional model of a type of special vehicle cabin was established. Predicted mean vote (PMV), air age, weighted temperature, and temperature difference between head and foot were selected as the evaluation criteria of the air supply system. Combined with the CFD and multi-objective genetic algorithm, the layout and parameters of the air supply system were simulated and optimized. The simulation results showed that the crew's thermal comfort can be effectively improved by using the top left and right seams and the foot air inlet. With a further analysis of the Pareto optimal solution, we obtained the optimal parameter values of the top air inlet position, air supply angle and return air vent position. The optimized design results meet the requirements of the design indicators, and provide a new idea for the design and optimization of the special vehicle's air supply system.

Key words: specialvehicle, airsupplysystem, predictedmeanvote, airage, multi-objectivegeneticalgorithm

中图分类号:

U273.99

王鹤翔，毛晓东，庞丽萍，冯晓晗. 基于多目标遗传算法的特种车舱室送风系统优化设计[J]. 兵工学报, 2022, 43(12): 2981-2988.

WANG Hexiang， MAO Xiaodong， PANG Liping， FENG Xiaohan. Design on Layout Optimization of Air Supply System for Special Vehicle Cabin Based on Multi-objective Genetic Algorithm[J]. Acta Armamentarii, 2022, 43(12): 2981-2988.

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