钢质冷换设备壁面碳酸钙结垢极为普遍，往往引发非计划停车、安全事故和经济损失。尽管研究者开发了诸多模型来预测结垢，可是一旦壁面发生腐蚀就会出现明显的偏差。先期的研究已经证明电化学腐蚀对结垢的影响不可忽视。在此研究的基础上，本课题拟进一步围绕这一界面现象深入开展腐蚀诱导结垢动力学研究，首先，系统研究界面电化学参数对阴极结垢行为的影响，采用神经网络技术建立阴极诱导结垢预测模型。其次，采用微区电化学扫描原位监测技术探究钢质换热壁面腐蚀原电池诱导结垢的动态演化机制。再次，耦合以上研究结果与传统结垢模型，采用极化曲面和移动网格技术建立腐蚀环境下钢质壁面动态结垢预测模型，形成对传统结垢理论的重要补充；探索采用人工智能技术，建立污垢预测管理专家系统。最后，探究缓蚀剂与阻垢剂的协同抑垢机理。本研究不仅有助于深刻认识腐蚀诱导结垢的本质，而且对改进现有阻垢防垢技术具有重要的实际意义。

CaCO3 scaling on the wall of steel heat exchanger equipment is an extremely widespread phenomenon, which often leads to unscheduled shutdown, safety incident and large financial losses. So far, a series of models have been established for the prediction of CaCO3 scaling. Nonetheless, these models cannot function precisely once corrosion occurs on steel surface. Though our previous works have revealed the significant role of electrochemical corrosion in the scaling processes, this knowledge is still quite simple. In order to further detailedly illustrate the kinetic mechanism of such interfacial phenomenon, elaborate experimental and numerical investigations will be carried out in this study. Firstly, the influences of interfacial electrochemical factors on cathodic scaling behavior will be systematically evaluated. Thus, a prediction model for the cathode-induced scaling can be built using neural network method based on the obtained data. Secondly, the dynamic scaling behavior induced by the corrosion cells on a real heat transfer wall will be in situ investigated through electrochemical scanning probe techniques. Thirdly, according to the obtained results and conventional fouling model, a dynamic scaling model on a corrosion steel wall will be developed using time-dependent polarization curves and moving mesh techniques,which greatly improves the conventional fouling theories. Thus, an expert system for fouling prediction and management will be explored and built up using an artificial intelligence technology. Finally, the synergistic inhibition effect of corrosion inhibitor and scale inhibitor on CaCO3 scaling will be explored based on our deep knowledge of corrosion-induced scaling. These studies will not only provide a fundamental understanding for scaling essence, but also facilitate the improvement of the existing technologies for scale control.