A new solver for corrosion-thinning prediction caused by dissolved particles named DPCFoam has been developed in the framework of the open source CFD toolbox OpenFOAM. This paper uses mass transfer control mechanisms to achieve particle dissolution and concentration diffusion processes. Moreover, experimental flow-accelerated corrosion (FAC) data sets were gathered from the literature and a FAC model was proposed. Then, a genetic algorithm was adopted to obtain the optimal coefficients of the empirical FAC model. In addition, DPCFoam was developed by implementing the particle dissolution, concentration diffusion and wall corrosion-thinning prediction (both empirical and theoretical FAC models) processes based on C++’s class inheritance and template techniques. Finally, the dissolution model was validated with a case of the dissolution of alumina in cryolite melts, and an air cooler inlet pipe with water injection was used as a case to validate the DPCFoam solver. Satisfactory results show that DPCFoam can be used to predict the wall corrosion-thinning rate due to the dissolution of corrosive particles.

中文翻译：

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DPCFoam：OpenFOAM 求解器，用于预测溶解颗粒引起的腐蚀变薄

在开源 CFD 工具箱 OpenFOAM 的框架中开发了一种名为 DPCFoam 的由溶解颗粒引起的腐蚀变薄预测的新求解器。本文采用传质控制机制来实现颗粒溶解和浓度扩散过程。此外，从文献中收集了实验性流动加速腐蚀 (FAC) 数据集，并提出了 FAC 模型。然后，采用遗传算法获得经验FAC模型的最优系数。此外，DPCFoam 是通过实施基于 C++ 的类继承和模板技术的粒子溶解、浓度扩散和壁腐蚀减薄预测（经验和理论 FAC 模型）过程开发的。最后，溶解模型以氧化铝在冰晶石熔体中的溶解为例进行验证，并以带有注水的空气冷却器入口管为例来验证 DPCFoam 求解器。令人满意的结果表明，DPCFoam 可用于预测由于腐蚀性颗粒溶解引起的壁腐蚀减薄率。