| 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],54(10):275-283 |
| Optimization Design of Thermal Insulation for Ammunition Storage and Transportation Cabin Based on Hybrid Optimization Algorithm |
| Received:May 13, 2025 Revised:May 20, 2025 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2025.10.023 |
| KeyWord:extreme environment thermal insulation structure emissivity hybrid optimization algorithm multi-objective optimization |
| Author | Institution |
| WANG Fei |
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing , China |
| DU Handong |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| XIE Lanchuan |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| WANG Jilin |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| DAI Xiaoqiang |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| CAI Wei |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| WU Daoxun |
Southwest Technology and Engineering Research Institute, Chongqing , China |
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| Abstract: |
| 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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