主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2024, Vol. 43 ›› Issue (8): 1122-1127.

• • 上一篇    下一篇

基于SiO2气凝胶的消防机器人一体化防火隔热结构设计优化

王潇1, 王磊1, 刘天奇1, 张国伟2   

  1. （1. 沈阳航空航天大学 安全工程学院，辽宁 沈阳 110136；2. 沈阳工程学院，辽宁 沈阳 110136）
  • 收稿日期:2023-11-20 修回日期:2024-02-02 出版日期:2024-08-15 发布日期:2024-08-15
  • 作者简介:王 潇（1980- ），女，辽宁抚顺人，沈阳航空航天大学安全工程学院讲师，博士，主要从事公共安全、机器人应急救援领域研究，辽宁省沈阳市沈北新区道义南大街37号，110136。
  • 基金资助:
    基金项目：国家自然科学基金（12102271）；辽宁省社会科学基金（L23BXW003）；辽宁省教育厅基本科研面上项目（LJKMZ20221722）；2022年度沈阳市社会科学课题（SYSK2022-01-111）

Design and optimization of integrated fireproof and thermal insulation structure for firefighting robot based on SiO2 aerogel

Wang Xiao1, Wang Lei1, Liu Tianqi1, Zhang Guowei2   

  1. (1. School of Safety Engineering, Shenyang Aerospace University, Liaoning Shenyang 110136, China; 2. Shenyang Institutetute of Engineering, Liaoning Shenyang 110136, China)
  • Received:2023-11-20 Revised:2024-02-02 Online:2024-08-15 Published:2024-08-15

摘要： 围绕消防机器人工作时机体外表面热防护问题，建立以SiO2气凝胶为隔热材料的一体化热防护结构。通过设置热防护结构传热模型，利用ANSYS软件模拟计算一体化结构在不同工况下的温度分布，以此分析防火隔热性能和传热机理；并对不同的隔热材料进行比较，使用最优拉丁超立方方法对一体化热防护结构进行敏感性分析，在满足约束的前提下选用遗传算法对结构进行厚度优化设计。结果表明：以SiO2气凝胶作为隔热材料相比于其他隔热材料，防火隔热性能更好。其与隔热性能比较接近的玻璃纤维相比，同一厚度下隔热能力提升57%，同时面密度和厚度优化分别增加了9.1%和8.3%，且机体结构冷面温度最大值降低56.5%，一体化热防护结构防火隔热性能提升明显。

关键词: SiO2气凝胶, 热防护结构, 隔热性能分析, 最优拉丁超立方, 遗传算法

Abstract: An integrated thermal protection structure based on SiO2 aerogels was established to solve the problem of external surface thermal protection of firefighting robots. The heat transfer model of the thermal protection structure is set up, and the temperature distribution of the integrated structure under different working conditions is simulated by ANSYS software to analyze the thermal insulation performance and heat transfer mechanism. Different thermal insulation materials are compared, the sensitivity of the integrated thermal protection structure is analyzed by using the optimal Latin hypercube method, and the thickness of the structure is optimized by using genetic algorithm under the premise of meeting the constraints. The results show that SiO2 aerogels have better thermal insulation performance than other thermal insulation materials. At the same time, compared with the glass fiber with similar thermal insulation performance, the thermal insulation capacity is increased by 57% under the same thickness, and the surface density and thickness optimization are increased by 9.1% and 8.3%, respectively, and the maximum cold surface temperature of the body structure is reduced by 56.5%, and the anti-thermal insulation performance of the integrated thermal protection structure is significantly improved.

Key words: SiO2 aerogel, thermal protection structure, thermal insulation performance analysis, optimal Latin Hypercube, genetic algorithm