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Unsteady Detached-Eddy Simulation (DES) of the Jetstream 31 aircraft in One Engine Inoperative (OEI) condition with propeller modelling

机译:螺旋桨建模的一个发动机不起作用(OEI)条件的喷气机31飞机的不稳定分离仿真(DES)

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Numerical results from a three-dimensional (3D) computational fluid dynamics (CFD) model of the Jetstream 31 aircraft in conditions of one engine inoperative are presented. The objective of this work is to analyse the performance of the Jetstream 31 aircraft and provide transient data using an unsteady Detached-Eddy Simulation (DES) CFD approach and a numerical propeller model to compare computational results with a single engine flight test experiment. The propeller modelling approach has been implemented through User-Defined Functions using C programming language to replicate the propeller effect. Different angles of attack and sideslip are studied, based on records from flight test data, both with unsteady (DES) and steady-state Reynolds-Averaged Navier-Stokes (RANS) models. An error analysis on the flight test data provides an error band from 2% to 16% among all cases, high values due to the lack of many data samples. Across the RANS approach, an average deviation of 6.9% and 3.8% for respectively lift and drag coefficients is achieved. By applying the DES turbulence modelling approach, a better lift prediction is achieved (5.4%) despite a slightly worse drag (4.5%). It has also been found that 80% of the numerical results are within the error band defined. A close agreement has been found within moment coefficients, with average percentage deviations from 3.3% to 7.0%. Overall, an analysis has been carried out in the present work, both on the flight test and computational sides to provide reliable numerical results of these aerodynamic properties. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:呈现了一个发动机不合作用的条件的JetStream 31飞机的三维(3D)计算流体动力学(CFD)模型的数值结果。这项工作的目的是分析JetStream 31飞机的性能,并使用不稳定的分离涡流模拟(DES)CFD方法和数值螺旋桨模型提供瞬态数据,以将计算结果与单一发动机飞行试验实验进行比较。通过使用C编程语言的用户定义函数来实现螺旋桨建模方法,以复制螺旋桨效果。基于飞行测试数据的记录,研究了不同的攻击角度和偏离角度,无论是不稳定的(des)和稳态雷诺平均的Navier-Stokes(RANS)模型。飞行试验数据的错误分析在所有情况下提供2%至16%的错误频带,由于缺少许多数据样本,高值。在Rans方法中,实现了分别升力和拖曳系数的平均偏差为6.9%和3.8%。通过施加DES湍流建模方法,尽管略差(4.5%),但达到了更好的提升预测(5.4%)。还发现,80%的数值结果在定义的错误频带内。在瞬间系数内发现了密切的协议,平均偏差为3.3%至7.0%。总的来说,在目前的工作中进行了分析,两者都在飞行试验和计算侧进行,以提供这些空气动力学性质的可靠数值结果。 (c)2019年Elsevier Masson SAS。版权所有。

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