王飞,杜韩东,谢兰川,王纪林,代小强,蔡薇,吴道勋.基于混合寻优算法的弹药储运舱绝热性能优化设计[J].表面技术,2025,54(10):275-283.
WANG Fei,DU Handong,XIE Lanchuan,WANG Jilin,DAI Xiaoqiang,CAI Wei,WU Daoxun.Optimization Design of Thermal Insulation for Ammunition Storage and Transportation Cabin Based on Hybrid Optimization Algorithm[J].Surface Technology,2025,54(10):275-283 |
| 基于混合寻优算法的弹药储运舱绝热性能优化设计 |
| Optimization Design of Thermal Insulation for Ammunition Storage and Transportation Cabin Based on Hybrid Optimization Algorithm |
| 投稿时间：2025-05-13 修订日期：2025-05-20 |
| DOI：10.16490/j.cnki.issn.1001-3660.2025.10.023 |
| 中文关键词: 极端环境 隔热保温结构 发射率 混合寻优算法 多目标优化 |
| 英文关键词:extreme environment thermal insulation structure emissivity hybrid optimization algorithm multi-objective optimization |
| 基金项目: |
| 作者 | 单位 |
| 王飞 | 南京理工大学 机械工程学院，南京 210094 |
| 杜韩东 | 西南技术工程研究所，重庆 400039 |
| 谢兰川 | 西南技术工程研究所，重庆 400039 |
| 王纪林 | 西南技术工程研究所，重庆 400039 |
| 代小强 | 西南技术工程研究所，重庆 400039 |
| 蔡薇 | 西南技术工程研究所，重庆 400039 |
| 吴道勋 | 西南技术工程研究所，重庆 400039 |
|
| Author | Institution |
| WANG Fei | School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China |
| DU Handong | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
| XIE Lanchuan | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
| WANG Jilin | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
| DAI Xiaoqiang | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
| CAI Wei | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
| WU Daoxun | Southwest Technology and Engineering Research Institute, Chongqing 400039, China |
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| 摘要点击次数: |
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| 中文摘要: |
| 目的 优化储运舱在极寒和高温环境下的隔热保温性能，以减小高价值弹药在储运中受极端环境温度的影响。方法 通过构建复合结构储运舱的三维流-固-热耦合计算模型，采用Fluent和Hypermesh的二次开发技术，实现舱室复合隔热保温结构自动参数化建模与分析，基于混合寻优算法完成对复合隔热保温结构的多目标优化设计。结果 优化后的舱室复合隔热保温结构面密度降低17.3%，厚度降低22.5%;高温环境下2 h时温度降低2.5 K，极寒环境下2 h时温度升高6.5 K;优化后舱内温度满足在高温环境下2 h时测点的温度低于298.15 K，极寒环境下2 h时测点的温度高于283.15 K的设计要求。结论 构建的多层复合结构流-固-热耦合仿真模型计算结果与试验误差在2%以内，能够有效评估储运舱的热性能;降低材料的导热系数、增加隔热层厚度能够提升舱室热防护性能;降低内饰层发射率对高温环境下的舱室隔热性能有利，提高内饰层的发射率对极寒环境下的舱室保温有利。 |
| 英文摘要: |
| In extreme environments, such as those found on battlefields with fires, extreme cold, or high temperature, the transportation and storage of high-value ammunition necessitate stringent temperature control within the storage compartments. Significant temperature fluctuations can lead to structural damage or functional failure of critical components of high-value ammunition. Currently, both domestic and international scholars have conducted extensive research on fireproof and thermal insulation structures for critical components. However, there is limited research on the thermal insulation performance of compartments that can adapt to both hot and extreme cold environments. To optimize the thermal insulation performance of cabins in extreme environments, and reduce the impact of extreme ambient temperature on high-value ammunition during storage and transportation, this paper takes the thermal insulation structure of cabins serving in extreme environments as the research object. A 3D fluid-solid-thermal coupling computational model of a composite structure cabin is constructed using numerical methods to evaluate the thermal insulation performance of the cabin. To enhance the validity of the simulation model and its parameters, high-temperature fire test results from a specific cabin are utilized to verify the computational model and parameters. The analysis indicates that the error between the computational outcomes of the simulation model for the cabin's multi-layer composite thermal insulation structure and the experimental results is within 2%, effectively evaluating the thermal performance of the storage and transportation cabin. As the initial structure, a composite structure consisting of two thermal insulation layers and one interior layer is designed. Analysis of the initially designed thermal insulation structure reveals that the cabin temperature of the initial design does not meet the design requirements in extremely cold or hot environments. Utilizing the secondary development technologies of Fluent and Hypermesh, the automatic parametric modeling and analysis of the cabin composite thermal insulation structure is achieved. The goal is to minimize the surface density and thickness of the thermal insulation structure. By considering the thermal conductivity, the thickness of the insulation layer, and the emissivity of the interior material as optimization variables, a multi-objective optimization design of the composite thermal insulation structure was completed using a hybrid optimization algorithm. Following optimization, the surface density of the cabin composite thermal insulation structure decreases by 17.3%, and the thickness is reduced by 22.5%. In the hot environment, the temperature decreases by 2.5 K after two hours, whereas in the extremely cold environment, the temperature increases by 6.5 K. The optimized cabin temperature satisfies the design specifications, being lower than 298.15 K at measurement points after two hours in the hot environment, and higher than 283.15 K at measurement points after two hours in the extremely cold environment. Analysis indicates that by decreasing the thermal conductivity of materials and increasing the thickness of insulation layers, the thermal protection performance of high-value ammunition storage and transportation cabins can be improved. Lowering the emissivity of interior layers enhances cabin insulation performance in hot environments, whereas increasing emissivity is advantageous for thermal insulation in extremely cold conditions. When evaluating overall performance across both extremely cold and hot scenarios, the emissivity should be set appropriately near the median of the design range. |
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