On the morning of December 14th, Dr. Yang Min, a senior CFD technology expert from AM Team in Belgium, brought a presentation titled "A generic framework of CF" to our companyD-PAcademic exchange on BM model and its application to DAF system. Dr. Yang Min has received funding from the Marie Curie Scholars Program of the European Union and is a postdoctoral fellow in the Department of Mathematical Analysis and Modeling at Ghent University in Belgium. My main research directions are computational fluid dynamics (CFD) application research, (bio) chemical reaction kinetics, population equilibrium theory (PBM), and data-driven models. The technology is widely applied in the research and design of environmental protection technology and process equipment at home and abroad, and the cooperation partners include domestic and foreign environmental protection enterprises such asXylemTheSuezTheWoodTheMaezawaTheDC WaterTheScienceBeijing Drainage Group, as well as pharmaceutical companies such asPfizerTheJohnson & JohnsonWait.

Dr. Yang Min first introduced his personal experience and the company he works for - BelgiumAM-Team.Later, Dr. Yang Min used vivid examples to illustrateComputational Fluid Dynamics(CFD)、Population Balance Model(PBM)、Bio inetics and Digital TwinsDT explained that CFD can describe flow field characteristics from a macroscopic perspective, while mechanistic models (such as PBM and Bio inetics) and data-driven models (such as artificial intelligence algorithms) can provide more detailed information for specific scenarios. For example, PBM can describe the distribution characteristics of group attributes at the microscopic level, thereby obtaining more detailed and accurate information. By coupling CFD with various mechanistic and data-driven models, customized calculations and in-depth theoretical research can be conducted for different engineering applications. The team shared the results of using a universal CFD-PBM model to predict the size distribution and optimize the structure of micro nano bubbles in dissolved air flotation tanks (DAFs), revealing the changes in micro nano bubbles and fluid mechanics mechanisms in DAFs. CFD-PBM establishes a synergistic effect between fluid dynamics and bubble size to simulate and achieve optimal separation efficiency. In addition, the CFD-PBM model can be modified without conducting experimentsReduce research and development costs as much as possible by addressing defects in the construction and size of the equipment; At the same time, using CFD for multi scenario experimental parameter simulation can optimize experimental parameters and improve experimental efficiency. Dr. Yang Min emphasized that all models are wrong, but some are usefulCFD models can simulate the optimal equipment structure and parameter settings, but sometimes strict experimental verification is required.
Finally, Dr. Yang Min shared the main business and cooperative units of AM Team, and analyzed the implementation cases based on his own practice. In response to on-site questions, vivid answers were provided on CFD-PBM's optimization of anaerobic biodegradation equipment and experimental parameters. CFD-PBM, as an emerging comprehensive application technology, provides a new research perspective for hardware development and experimental parameter optimization, especially for complex biochemical reactions such as anaerobic fermentation, which has great application prospects.












