流化床反应器在化工、石油、冶金等行业有着广泛应用，反应器中常常存着各种各样的内构件，如布风板、筛板、导流挡板等，这些结构一般对气固流化床的流化状态有着显著影响。传统CFD技术对于薄片结构往往在网格处理时存在一定难度，且会造成整体计算网格数量的增多，极大地影响模拟仿真效率。

      基于CPFD(Computational Particle Fluid Dynamics)技术开发的Barracuda是一款致力于工业级流态化及化学反应模拟的商业软件包，以其快速的仿真建模方法、高效稳定的多相流耦合求解器、便捷的化学反应建模方法、工业级的颗粒模拟数量等优点在水泥行业有着很好地应用。相比于传统CFD软件，Barracuda能够在更短的时间内实现工业设备的模拟分析，满足工业仿真需求。

      Playback of Sam Clark, Peter Blaser, and Ray Cocco's presentation at CFB-13, May 10, 2021 Computational Fluid Dynamics (CFD) is based on both fundamentals and empirical models. The fundamental principles, such as conservation of mass, momentum, and energy, are known. Empirical models, on the other hand, have more limited scopes of applicability, and thus are less understood. CFD for fluidized systems, such as fluidized beds or circulating systems, has additional inherent complexity, compared with pure fluid flows. Results can be highly dependent upon empirical models related to fluid-particle, or particle-particle interaction terms, which take the form of drag, collisional, stress, granular temperature, or similar models. The development and validation of these models, which is often undertaken at small test scales, is a topic of significant, current research. Many industrial systems utilizing fluidization, on the other hand, are constructed and operated at scales which may be orders of magnitude larger than the lab-scale or pilot-scale units upon which they are based. Industrial processes such as Fluidized Catalytic Cracking (FCC), polyolefins production, gasification, pyrolysis, or cement manufacture, to name a few, often involve characteristic length scales that can be up to ten meters or greater. This paper and presentation examine the relationship between empirical model development and practical CFD simulations of industrial systems。

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