Chemical Engineering and Processing: Process Intensification ( IF 4.3 ) Pub Date : 2021-09-20 , DOI: 10.1016/j.cep.2021.108637 Charbel Habchi 1 , Mohammad Oneissi 2 , Serge Russeil 3 , Daniel Bougeard 3 , Thierry Lemenand 4
Vortex generators (VG) are widely used in enhancing the heat transfer coefficients in heat exchangers due to the development of longitudinal and transverse vortices. Therefore, understanding the development of these vortices has a high importance for the design and optimization of heat exchangers. When using numerical simulations, the choice of an appropriate turbulence model that can better predict the flow structure downstream a VG is fundamental. In the present study, three-dimensional numerical simulations, with two different commonly used eddy viscosity turbulence models, are performed for channel flow fitted with rectangular-winglet pairs (RWP) vortex generators. The numerical results are compared to experimental data obtained by stereoscopic particle image velocimetry (SPIV). The shear-stress transport (SST) κ-ω model and the re-normalization-group (RNG) κ-ε model are used for modeling turbulence. Validation is conducted by comparing the flow structure topology and velocity field obtained from numerical simulations to those obtained using the SPIV method. It is found that the SST κ-ω model is better than the RNG κ-ε turbulence model in predicting the flow characteristics downstream the RWP.
中文翻译:
涡流粘度湍流模型与流经矩形小翼对涡流发生器的立体 PIV 测量的比较
由于纵向和横向涡流的发展,涡流发生器 (VG) 被广泛用于提高换热器的传热系数。因此,了解这些涡流的发展对换热器的设计和优化具有重要意义。在使用数值模拟时,选择合适的湍流模型以更好地预测 VG 下游的流动结构至关重要。在本研究中,对装有矩形小翼对 (RWP) 涡流发生器的通道流进行了三维数值模拟,使用两种不同的常用涡粘性湍流模型。将数值结果与通过立体粒子图像测速 (SPIV) 获得的实验数据进行比较。剪应力传输 (SST) κ-ω模型和重归一化组 (RNG) κ-ε模型用于模拟湍流。通过比较从数值模拟获得的流动结构拓扑和速度场与使用 SPIV 方法获得的那些进行验证。发现SST κ-ω模型在预测RWP下游流动特性方面优于RNG κ-ε湍流模型。