引用本文: | 李天博,王鹏,孙斌,黎程山.一种联翼式水下滑翔机外形优化设计方法[J].哈尔滨工业大学学报,2019,51(4):26.DOI:10.11918/j.issn.0367-6234.201805047 |
| LI Tianbo,WANG Peng,SUN Bin,LI Chengshan.A shape optimization design method of the joined-wing underwater glider[J].Journal of Harbin Institute of Technology,2019,51(4):26.DOI:10.11918/j.issn.0367-6234.201805047 |
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摘要: |
为增大传统水下滑翔机的升阻比,提高水下滑翔机的运动性能,将航空领域先进的联翼布局与传统水下滑翔机相结合,提出了一种新型的联翼式水下滑翔机,并通过外形优化设计使得联翼式水下滑翔机具有更优的升阻特性.首先,对水下滑翔机主体进行数值仿真模拟,将得到的结果与试验数据进行对比,验证了数值模拟方法的有效性.其次,运用CFD仿真软件比较分析了正交错、负交错和联尾翼3种联翼布局外形的升阻特性,选择升阻比最大的正交错布局作为水下滑翔机的初始外形.然后采用描形参数化方法,建立了联翼式水下滑翔机外形的参数化模型.最后,以最大化升阻比为优化目标,构建Kriging代理模型并采用EGO算法对联翼式水下滑翔机外形进行了优化设计.研究结果表明:优化后的联翼式水下滑翔机外形相比于初始外形,升阻比提高了18.42%;相较于传统水下滑翔机,升阻比提高了23.45%,从而验证了联翼式水下滑翔机具有更优异的升阻特性.本文的研究成果为提高水下滑翔机的滑翔性能提供了一种新思路和途径. |
关键词: 联翼布局 水下滑翔机 参数化建模 代理模型 外形优化设计 |
DOI:10.11918/j.issn.0367-6234.201805047 |
分类号:TP242 |
文献标识码:A |
基金项目:水声对抗技术重点实验室基金(SSDKKFJJ-2017-0202) |
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A shape optimization design method of the joined-wing underwater glider |
LI Tianbo1,2,WANG Peng1,SUN Bin1,LI Chengshan1
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(1.College of Marine Engineering, Northwestern Polytechnical University, Xi’an 710072, China;2.Science and Technology on Underwater Acoustic Antagonizing Laboratory(CSSC), Beijing 100094, China)
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Abstract: |
To improve the lift drag ratio and motion performance of underwater gliders, combining the advanced layout of the joined-wing in aviation and the traditional underwater glider, a joined-wing underwater glider configuration is proposed, which can achieve better lift drag characteristics through optimization. First, numerical simulation of the underwater glider body was carried out, and the validity of the numerical simulation method was verified by comparing the obtained results with the experimental data. Then according to the Computational Fluid Dynamics (CFD) code, the lift drag characteristics of three layouts, the positive staggered, the negative staggered, and the combined empennage were compared and analyzed. The orthogonal layout was chosen as the basic shape of the underwater glider because of its maximum lift drag ratio. Parametric modeling of the shape of the underwater glider was thus carried out. Finally, taking the maximum lift drag ratio as the optimization objective, the Kriging surrogate model was constructed and the EGO algorithm was used to optimize the shape of the joined-wing underwater glider. Results show that the lift drag ratio of the optimized underwater glider increased by 18.42% over that of the vehicle before optimization, and 23.45% over that of the traditional underwater glider. It proved that the new type joined-wing layout has excellent lift drag characteristics in the underwater glider. The research results provide a new way of improving the gliding performance of underwater gliders. |
Key words: joined-wing layout underwater glider parametric modeling surrogate model shape optimization design |