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作 者:王潇 李永强 刘天奇 张国伟 Wang Xiao;Li Yongqiang;Liu Tianqi;Zhang Guowei(School of Safety Engineering,Shenyang Aerospace University,Shenyang Liaoning 110136,China;Shenyang Institute of Engineering,Shenyang Liaoning 110136,China)
机构地区:[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
出 处:《消防科学与技术》2025年第3期382-387,407,共7页Fire Science and Technology
基 金:国家自然科学基金资助项目(12102271);辽宁省社会科学规则基金项目(L23BXW003);沈阳市社会科学立项课题(SYSK2022-01-111);辽宁省高等学校基本科研项目(LJKMZ20221722)。
摘 要:以某消防侦察机器人车身防隔热结构作为研究对象,建立应用相变胶囊的多层复合防隔热结构模型,利用COMSOL软件模拟分析结构在高温环境下的温度场变化规律,同时探究不同相变胶囊堆积方式和隔热材料对结构热防护性能的影响,并通过对机器人内载电子元件的安全温度特性分析,采用MOGA算法对得到的最优组合下防隔热结构的厚度进行优化。结果表明,结构厚度一定的情况下,石蜡胶囊双层堆积的防隔热结构热防护效果最优。同时以SiC气凝胶作为隔热层材料的结构相较于其他隔热材料的热防护性能更优。此外,在满足消防机器人热防护需求的前提下,优化后机体的隔热层厚度降低了1.86 mm,结构的总厚度降低了25.41%,有效提高了结构的热防护效率。This article takes the body insulation structure of a fire reconnaissance robot as the research object,establishes a multi-layer composite insulation structure model using phase change capsules,and uses COMSOL software to simulate and analyze the temperature field changes of the structure in high temperature environments.At the same time,it explores the influence of different phase change capsule stacking methods and insulation materials on the thermal protection performance of the structure.By analyzing the safety temperature characteristics of the electronic components carried in the robot,the MOGA algorithm is used to optimize the thickness of the insulation structure under the optimal combination obtained.The results indicate that under a certain thickness of the structure,the double-layer stacking of paraffin capsules has the best thermal protection effect for the anti insulation structure.At the same time,the structure of SiC aerogel as the thermal insulation material has better thermal protection performance than other thermal insulation materials.In addition,while meeting the thermal protection requirements of firefighting robots,the optimized insulation layer thickness of the body has been reduced by 1.86 mm,and the total thickness of the structure has been reduced by 25.41%,effectively improving the thermal protection efficiency of the structure.
分 类 号:X932[环境科学与工程—安全科学] TP242[自动化与计算机技术—检测技术与自动化装置]
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