SBIR Phase II: Hybrid Lattice Boltzmann Technique for Heat Transfer Prediction

这个小型企业创新研究（SBIR）二期项目将通过将基于晶格玻尔兹曼方法（LBM）的流体力学数字物理技术与有效的偏微分方程（PDE）传热解决方案相结合，为工业设备的热传递预测提供一个独特的计算工具。该项目将从开发和实现广泛的物理特性开始，包括可变热力学和动力学分子特性，以及与流动相关的湍流/过渡普朗特数，然后引入算法，确保全物理LBM/PDE算法的稳定、准确和无噪声性能。在算法优化和对标的基础上，我们将专注于商业客户提供的工业设备的全热研究。这些测试之后将进入第三阶段商业化。二期SBIR项目开发的混合热输运预测工具将为我们目前的PowerFLOW产品开辟主要的新商业市场，特别是在工程设计层面，同时也为各种工业问题的新技术开辟重要的新市场，从经典的宏观流动到微观流动，如MEMS器件。这种新技术也应该为计算机辅助工程（CAE）建立新的市场，特别是在制造业。

This Small Business Innovation Research (SBIR) Phase II project will produce a unique computational tool for heat transport prediction in industrial devices by hybridizing our Digital Physics technology based on Lattice Boltzmann Methods (LBM) for hydrodynamics with efficient partial differential equation (PDE) solution for heat transfer. The project will start with the development and implementation of a wide range of physical features including variable thermodynamic and kinetic molecular properties as well as flow dependent turbulent/transitional Prandtl number, followed by introducing algorithms that ensure stable, accurate, and noiseless performance of the full-physics LBM/PDE algorithm. Upon algorithm optimization and benchmarking, we will focus on full thermal studies of industrial devices provided by our commercial customers. These beta tests will be followed by Phase III commercialization. The hybrid thermal transport prediction tool for development in this Phase II SBIR project will open major new commercial markets for our current PowerFLOW product, especially at the engineering design level, as well as open important new markets for novel technologies in various industrial problems ranging from classical macroscopic flows to microscopic flows like those in MEMS devices. This new technology should also establish new markets for computer aided engineering (CAE), especially in manufacturing industries.