Transfer learning: A new aerodynamic force identification network based on adaptive EMD and soft thresholding in hypersonic wind tunnel

The aerodynamic test in the pulse combustion wind tunnel is very important for the design, evaluation and optimization of aerodynamic characteristics of the hypersonic aircraft. The test accuracy even affects the success or failure of hypersonic aircraft development. In the aerodynamic test of pulse combustion wind tunnel, the aerodynamic signal is disturbed by the inertial force signal, which seriously affects the test accuracy of aerodynamic force. Aiming at the above problems, this paper innovatively proposes an aerodynamic intelligent identification method, that is the transfer learning network based on adaptive Empirical Modal Decomposition (EMD) and Soft Thresholding (TLN-AE&ST). Compared with the existing aerodynamic intelligent identification model based on deep learning technology, this study introduces the transfer learning idea into the aerodynamic intelligent identification model for the first time. The TLN-AE&ST effectively alleviates the problem of scarcity of training samples for intelligent models due to the high cost of wind tunnel tests, and provides a new idea for further implementation of deep learning technology in the field of wind tunnel aerodynamic testing. And this study designed residual attention block with soft threshold and dense block with adaptive EMD in TLN-AE&ST model. Residual attention block with soft threshold module can more effectively suppress the influence of instrument noise signal on model training effect. Dense block with adaptive EMD makes the deep learning model no longer a black box to a certain extent, and has certain physical significance. Finally, a series of wind tunnel tests were carried out in the Φ = 2.4 m pulse combustion wind tunnel of China Aerodynamic Research and Development Center to verify the effectiveness of TLN-AE&ST.     

Modelling and analysis of metal flowing behaviors in constraining ring rolling of tapered ring with thin wall and three high ribs

Tapered ring with thin wall and three high ribs(TRTWTHR), showing complicated geometry(wall thickness is less than 4 mm and rib height exceeds 20 mm), is extensively utilized to fabricate the critical structural parts of aerospace equipment such as spacecraft cabin, rocket body and fuel tank because of light weight and high carrying capacity. How to fabricate TRTWTHR with high performance is a critical problem that aerospace area needs to solve. In this work, constraining ring rolling(CRR) techn...     

高马赫数V字形钝化前缘平板表面压力特性

针对三维内转式进气道V字形唇口下游面临的严酷压力载荷问题，将唇口简化为V字形钝化前缘平板，在来流马赫数为6的条件下，采用数值模拟结合激波风洞压敏涂料测量方法，研究了半径比R/r = 0 ~ 20（V字形根部倒圆半径R与前缘钝化半径r之比）的平板表面压力演化特性。结果表明，随着R/r增大，V字形钝化前缘产生的三维波系结构发生变化，引起下游平板表面压力演变出4种类型。R/r较小时，V字形钝化前缘激波干扰产生的大范围流动分离，诱导形成了偏离中心线较远的分叉状高压区（Type Ⅰ，分叉型）；随着R/r增大，流动分离减弱，分叉状高压区逐渐消失，由透射激波扫掠壁面所形成的条带状高压和超声速射流对撞所形成的中心线高压区逐渐显露，依次出现过渡型（Type Ⅱ）、严酷型（Type Ⅲ）和渐匀型（Type Ⅳ）压力分布。平板上分叉型和过渡型的压力最大值仅为4.3 ~ 7.2p∞（p∞为来流静压），但V字形钝化前缘处的流场品质恶劣；严酷型的压力最大值，随着射流对撞强度的增强而增大，最高可达19p∞；渐匀型的压力最大值，随着射流对撞强度的减弱，逐渐趋近于二维钝前缘平板产生的压力最大值4p∞。