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Abstract: |
Smart materials, especially shape memory composites and 4D printing materials, are widely used in aerospace. Deflectors are essential equipment in wind tunnel construction. Traditional deflectors are made of metal materials and have a relatively high structural weight. The deflector made of smart material has the advantage of being lighter in weight compared to traditional structure, and it could change the bending angle of the deflector structure under external excitation. In this study, the corresponding mechanical property test and finite element simulation of the smart material are carried out, and the deflector made of smart material is further studied and analyzed. Maxwell viscoelasticity model for the material is established, and relevant parameters are obtained through stress relaxation test fitting. According to relevant parameters and literature, finite element simulation of intelligent deflector structure is carried out. The pressure loss coefficient, airflow deflection angle, and velocity uniformity are studied. The numerical model of the minimum pressure loss coefficient is established with reference to the relevant data, and the formula for calculating the optimal upwind radius of the deflector is obtained. Combined with the numerical simulation results of the flow deflection angle and velocity uniformity of the flow field, it provides a reference for the selection of the size of the deflector. |
Key words: Deflector Smart materials Mechanical behavior Simulation Loss coefficient |
DOI:10.11916/j.issn.1005-9113.24026 |
Clc Number:V211 |
Fund: |
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Descriptions in Chinese: |
智能材料广泛应用于航空航天,尤其是形状记忆复合材料和4D打印材料。导流板作为风洞施工中的重要设备,是必不可少的,而传统的导流板是由金属材料制成的,结构质量相对较高。与传统结构相比,采用智能材料制成的导流板具有质量较轻的优点,可以改变导流板结构在外部激励下的弯曲角度。本文对智能材料进行了相应的力学性能测试和有限元模拟,并对智能材料制成的导流板进行了进一步的研究和分析。建立了材料的麦克斯韦粘弹性模型,并通过应力松弛试验拟合得到了相关参数。根据相关参数和文献,对智能导流板结构进行了有限元仿真。研究了压力损失系数、气流偏转角和速度均匀性。参考相关数据,建立了最小压力损失系数的数值模型,得到了导流板最佳迎风半径的计算公式。结合流场流动偏转角和速度均匀性的数值模拟结果,为导流板尺寸的选择提供了参考。 |