Accelerated multiphase flow prediction methods of phase transition, droplet dynamics and efficiency in high-speed vapor flows

高速蒸汽流中相变、液滴动力学和效率的加速多相流预测方法

• 批准号: 238656-2011
• 负责人: Gerber, Andrew
• 金额: $ 1.97万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=570464
• 关键词: Accelerated; multiphase; flow; prediction; methods

.Design and optimization of steam and gas turbines using computer models is now well established in industry. However many of these models do not yet include all of the most influential phenomena that impact performance. This is the case for steam turbines that are used worldwide in thermal and nuclear power plants. The inclusion of wetness, in particular how and where it is formed and its distribution in the turbine, in computer models is only in its early stages. The appearance of wetness in steam turbines greatly affects its efficiency as well as the life of its components due to the increase of erosion. This research continues a program focused on improving the predictions of wetness in steam turbines using comprehensive models of the two-phase fluid mechanics in these machines. Five graduate students will be engaged in the research over a five year period following two broad objectives. Furthermore, the research also investigates merging past models with the appearance of new computer architectures that show the potential for dramatic decreases in solution times and thus further increasing the use of the models for design and optimization.

现在，使用计算机型号设计和优化蒸汽和燃气轮机在行业中已建立。 但是，其中许多模型尚未包含影响性能的所有最具影响力的现象。 在热电厂和核电站全球使用的蒸汽轮机就是这种情况。 包括湿度，尤其是如何形成湿度以及在涡轮机中的分布，在计算机模型中仅在早期阶段。 蒸汽涡轮机中湿度的出现极大地影响了其效率以及由于侵蚀的增加而影响其成分的寿命。 这项研究继续一项计划，旨在使用这些机器中的两相流体力学的综合模型来改善蒸汽涡轮机的湿度预测。 在两个广泛的目标之后，将在五年内从事五名研究生。 此外，该研究还研究了将过去的模型与新计算机架构的出现合并，这些模型显示了解决方案时间急剧减少的潜力，从而进一步增加了模型的设计和优化。