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

SBIR 第二阶段：用于传热预测的混合格子玻尔兹曼技术

• 批准号: 0239176
• 负责人: Ilya Staroselsky
• 金额: $ 50万
• 依托单位: Exa Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-02-15 至 2007-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0239176&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Hybrid; Lattice

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.

这个小型企业创新研究（SBIR）第二阶段项目将通过混合我们的数字物理技术（基于Lattice Boltzmann方法（LBM）用于流体力学）和有效的偏微分方程（PDE）解决方案用于传热，为工业设备中的热传输预测提供一个独特的计算工具。该项目将从开发和实施广泛的物理特性开始，包括可变的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，以确保全物理LBM/PDE算法的稳定，准确和无噪声性能。在算法优化和基准测试之后，我们将专注于对商业客户提供的工业设备进行全面的热研究。这些beta测试之后将进行第三阶段商业化。在第二阶段SBIR项目中开发的混合热传输预测工具将为我们目前的PowerFLOW产品打开主要的新商业市场，特别是在工程设计层面，以及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微观流动，如MEMS器件。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。