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

．利用计算机模型设计和优化蒸汽和燃气轮机在工业上已经很成熟。然而，这些模型中有许多尚未包括所有影响性能的最具影响力的现象。这就是世界范围内用于热电厂和核电站的蒸汽轮机的情况。在计算机模型中纳入湿度，特别是它是如何和在哪里形成的，以及它在涡轮机中的分布，只是在早期阶段。汽轮机潮湿现象的出现，由于侵蚀的增加，极大地影响了汽轮机的效率，也影响了汽轮机部件的寿命。这项研究继续了一个项目，重点是利用汽轮机中两相流体力学的综合模型来改进对汽轮机湿度的预测。五名研究生将从事为期五年的研究，主要有两个目标。此外，该研究还研究了将过去的模型与新计算机体系结构的外观合并，这些结构显示出解决时间大幅减少的潜力，从而进一步增加了模型在设计和优化中的使用。

.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.