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

使用计算机模型的蒸汽和燃气轮机的设计和优化现在在工业中已经很好地建立。 然而，这些模型中的许多还没有包括所有影响性能的最有影响力的现象。 这是在世界范围内用于热电厂和核电厂的蒸汽涡轮机的情况。 在计算机模型中包含湿度，特别是湿度是如何和在何处形成的以及湿度在涡轮机中的分布，只是处于早期阶段。 汽轮机中湿度的出现会增加磨损，从而严重影响汽轮机的效率和部件的寿命。 这项研究继续一项计划，重点是改善预测的湿度在汽轮机中使用综合模型的两相流体力学在这些机器。 五名研究生将在两个广泛的目标后，在五年内从事研究。 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出现合并，这表明有可能大幅减少求解时间，从而进一步增加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.