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基于模型和数据驱动的航空发动机跨音速压气机失速/喘振虚拟仿真实验设计 被引量:6

Virtual simulation experiment design of stall/surge of aero-engine transonic compressor based on model and data-driving
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摘要 文章设计了航空发动机跨音速压气机失速/喘振虚拟仿真实验,采用了计算机图形技术和互联网技术,构建了跨音速压气机、实验台、测量仪器等三维保真模型,通过第一视觉结合声光振效果增强了实验操作体验,实现了实验环境虚拟漫游、仪器设备学习认知、失速喘振实验实操、可视化流动观察以及数据采集、作业提交等全过程在线教学体验。该实验基于最新科研成果开发了内置失速/喘振数学模型和仿真测试数据驱动,以及充分的互动操作步骤和置错不可逆特点,使学生在柔性自主操作条件下,实现了对失速/喘振特性结果的差异化获取,解决了真实跨音速压气机实验高成本、高转速、高危险、失速/喘振现象难捕捉、用户参与深度有限等教学难题。 In this paper, the virtual simulation experiment of a stall/surge of aero-engine transonic compressor is designed. Using computer graphics technology and Internet technology, the three-dimensional fidelity models of transonic compressor, test bench and measuring instruments are constructed. The experimental operation experience is enhanced through the first vision combined with acousto-optic-vibration effect. The whole process of online teaching including the virtual roaming of experimental environment, learning and cognition of instruments and equipment, experiment operation, visual flow observation, data acquisition and homework submission is realized. Based on the latest research achievements, a built-in stall/surge mathematical model is developed and researching simulation test data is inserted, as well as sufficient interactive operation steps and irreversible characteristics of wrong operation, so that students can achieve distinct results of stall/surge characteristic under flexible and autonomous operation conditions. The present virtual simulation experiment solves the teaching problems of high cost, high rotation speed, high risk, hard capturing stall/surge and the limited depth of user participation.
作者 刘汉儒 王掩刚 尚珣 王昊 施永强 LIU Hanru;WANG Yangang;SHANG Xun;WANG Hao;SHI Yongqiang(School of Power and Energy,Northwestern Polytechnical University,Xi’an 710129,China)
出处 《实验技术与管理》 CAS 北大核心 2021年第11期212-217,共6页 Experimental Technology and Management
基金 国家自然科学基金项目(51906205) 陕西省示范性虚拟仿真实验教学项目(2017-05) 西北工业大学虚拟仿真教学实验建设项目(2020-5)。
关键词 数据模型驱动 差异性设置 线上线下结合 探索与验证结合 产学研结合 data-model driving differentiated settings online and offline combination exploration and verification combination industry-university-research collaboration
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