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

这个小型企业创新研究(SBIR)第二阶段项目将把我们基于流体力学的格子Boltzmann方法(LBM)的数字物理技术与用于热传递的高效偏微分方程(PDE)解相结合，从而为工业设备中的热传输预测提供独特的计算工具。该项目将首先开发和实施广泛的物理特征，包括可变的热力学和动力学分子性质以及依赖于流动的湍流/过渡普朗特数，然后引入确保全物理LBM/PDE算法的稳定、准确和无噪声性能的算法。在算法优化和基准测试之后，我们将专注于商业客户提供的工业设备的全热研究。这些测试版测试之后将进行第三阶段的商业化。此SBIR二期项目开发的混合热传输预测工具将为我们当前的功率流产品打开重要的新商业市场，特别是在工程设计层面，并为各种工业问题中的新技术打开重要的新市场，从经典的宏观流动到像MEMS器件中的微观流动。这项新技术还将为计算机辅助工程(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.