Reverse Osmosis Simulation Data

This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help improve membrane performance by disrupting the concentration boundary layer growth on membrane surfaces. Refer to the "Related Work" resource below for more details. This dataset considers a feed-water channel of length 150mm. The inlet brine velocity and concentration are fixed at 0.1m/s and 100kg/m3 respectively. The diameter of the cylindrical spacers is fixed as 0.3mm and six varying inter-spacer distances of 0.75mm, 1mm, 1.5mm, 2mm, 2.5mm, and 3mm are simulated. The dataset comprising the steady, spatial fields of solute concentration, velocity, and density near each spacer is placed in the folder corresponding to the spacer configuration considered. We run two sets of CFD simulations and include the outputs from both sets for each configuration: (1) with a coarser mesh, producing low-resolution (LR) data of spatial resolution 20x20, and (2) with a finer mesh, producing high-resolution (HR) data of spatial resolution 100x100. These data points can be treated as images with the quantities of interest as their channels and can be used to train machine learning models to learn a mapping from the LR images as inputs to the HR images as outputs.

本数据集包含反渗透（Reverse Osmosis, RO）应用中给水通道内多种隔垫（spacer）构型的计算流体动力学（Computational Fluid Dynamics, CFD）仿真输出结果。给水通道负责将盐水输送至反渗透膜表面，嵌入通道内的隔垫可通过扰乱膜表面的浓度边界层生长，从而提升反渗透膜的运行性能。更多细节可参阅下文的"Related Work"资料。
本数据集所针对的给水通道长度为150毫米，入口处的盐水流速与浓度分别固定为0.1m/s与100kg/m³。圆柱形隔垫的直径固定为0.3mm，本次仿真共设置了0.75mm、1mm、1.5mm、2mm、2.5mm及3mm六种不同的隔垫间距。
包含各隔垫附近溶质浓度、流速及密度的稳态空间场数据，将按照对应的隔垫构型分别存储于相应文件夹中。
我们针对每种构型开展了两组CFD仿真，并将两组结果均纳入数据集：(1) 采用粗网格生成空间分辨率为20×20的低分辨率（Low Resolution, LR）数据；(2) 采用细网格生成空间分辨率为100×100的高分辨率（High Resolution, HR）数据。
上述数据可被视作以关注物理量为通道的图像，可用于训练机器学习模型，以学习从低分辨率输入图像到高分辨率输出图像的映射关系。