风洞模型载荷实验测量系统开发与研究
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摘要
为解决风洞实验室模型风载荷实验测量相关技术问题,开发了实验测量系统并展开实验研究;根据该类型实验特点及要求,设计了测量系统方案,组建测量软硬件系统,采用多种传感器完整测量风载荷、风速、温湿度等多种数据,进行数据融合处理得到风载荷系数;为确保实验测量精度,考虑了天平零漂、空气密度变化、模型自重干扰等因素的影响,通过分析给出了其各自的数据处理方法以得到有效的风载荷;在此基础上完成测量程序/共享软件的编写,基本实现了实验测量自动化,避免手工介入,实验效率大幅提高;最后应用本文结果展开实际实验测量,定量分析各因素对于测量结果的影响,结果表明,空气密度变化、模型自重干扰、风速波动对模型风载荷结果影响较为明显,在计算风载荷系数时需采用每一工况的实时数据;而信号噪声对均值结果几乎无影响而不用考虑。
In order to solve application measurement problems of the wind tunnel laboratory,an integrated measurement system on wind load experiments with automation technique support is developed.At first,a measurement scheme is proposed including hardware and software systems with fully detailed information,to improve experiment accuracy,several kinds of sensors/balances are employed to fully measure wind load,wind speed,air temperature and humidity,etc.Data process methods are given to handle the problems of balance's zero point drift,air density determination,model weight influence.Based on the above,an online computer program is coded with consideration of automatic data process and sensors compatibility,it implements many functions on wind load experiments,with an aim to improve efficiency and avoid manual operations,which can be available as shareware.At the end,an experiment on an offshore service vessel is conducted to verify the job of this paper,which shows agreeable result and high efficiency,corresponding analysis is also carried out to verify every factors' influence,the results show that:air density fluctuation,model weigh influence and wind speed fluctuation have remarkable effect on experiment result,while signal noise has negligible effect.
In order to solve application measurement problems of the wind tunnel laboratory,an integrated measurement system on wind load experiments with automation technique support is developed.At first,a measurement scheme is proposed including hardware and software systems with fully detailed information,to improve experiment accuracy,several kinds of sensors/balances are employed to fully measure wind load,wind speed,air temperature and humidity,etc.Data process methods are given to handle the problems of balance's zero point drift,air density determination,model weight influence.Based on the above,an online computer program is coded with consideration of automatic data process and sensors compatibility,it implements many functions on wind load experiments,with an aim to improve efficiency and avoid manual operations,which can be available as shareware.At the end,an experiment on an offshore service vessel is conducted to verify the job of this paper,which shows agreeable result and high efficiency,corresponding analysis is also carried out to verify every factors' influence,the results show that:air density fluctuation,model weigh influence and wind speed fluctuation have remarkable effect on experiment result,while signal noise has negligible effect.
引文
[1]范洁川.风洞试验手册[M].北京:航空工业出版社,2002.
[2]施洪昌.高速风洞数据采集技术[M].北京:国防工业出版社,2004.
[3]彭先敏,刘忠华,陈祖荣,等.基于数据库的风洞试验数据采集与处理系统研制[J].计算机测量与控制,2011,19(8):2045-2047.
[4]邓晓曼,范金磊,余立,等.多风洞共享的通用型试验数据处理系统[J].实验流体力学,2017,31(4):64-70.
[5]舒海峰,许晓斌,孙鹏.高超声速风洞多天平测力试验技术研究[J].实验流体力学,2014,28(4):49-53.
[6]褚卫华,林辰龙,谢明伟,等.0.6m暂冲式跨超声速风洞控制系统设计与实现[J].计算机测量与控制,2016,24(8):69-73.
[7]杜洪亮,孟超.基于Modbus RTU的虚拟仪器风洞电机温度监控系统开发[J].计算机测量与控制,2015,23(4):1161-1164.
[8]共享程序.风洞模型风载荷实验测量共享程序-Hengex@gmail.com[EB/OL].http://202.120.42.116:8380/D6L8AJK32,2017.
[9]互动百科.理想气体状态方程[EB/OL].http://www.baike.com/wiki/理想气体状态方程.2018.
[10]Sanjit K.M.孙洪译.数字信号处理-基于计算机的方法[M].北京:电子工业出版社,2006.
[11]张韵华,等.数值计算方法和算法[M].北京:科学出版社,2000.
[2]施洪昌.高速风洞数据采集技术[M].北京:国防工业出版社,2004.
[3]彭先敏,刘忠华,陈祖荣,等.基于数据库的风洞试验数据采集与处理系统研制[J].计算机测量与控制,2011,19(8):2045-2047.
[4]邓晓曼,范金磊,余立,等.多风洞共享的通用型试验数据处理系统[J].实验流体力学,2017,31(4):64-70.
[5]舒海峰,许晓斌,孙鹏.高超声速风洞多天平测力试验技术研究[J].实验流体力学,2014,28(4):49-53.
[6]褚卫华,林辰龙,谢明伟,等.0.6m暂冲式跨超声速风洞控制系统设计与实现[J].计算机测量与控制,2016,24(8):69-73.
[7]杜洪亮,孟超.基于Modbus RTU的虚拟仪器风洞电机温度监控系统开发[J].计算机测量与控制,2015,23(4):1161-1164.
[8]共享程序.风洞模型风载荷实验测量共享程序-Hengex@gmail.com[EB/OL].http://202.120.42.116:8380/D6L8AJK32,2017.
[9]互动百科.理想气体状态方程[EB/OL].http://www.baike.com/wiki/理想气体状态方程.2018.
[10]Sanjit K.M.孙洪译.数字信号处理-基于计算机的方法[M].北京:电子工业出版社,2006.
[11]张韵华,等.数值计算方法和算法[M].北京:科学出版社,2000.