Towards a General Analytical Model of Aerodynamic and Phase Instabilities in Advanced Fluid Machinery

先进流体机械中空气动力学和相位不稳定性的通用分析模型

• 批准号: RGPIN-2015-06562
• 负责人: Brinkerhoff, Joshua
• 金额: $ 1.68万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=614222
• 关键词: Towards; General; Analytical; Model; Aerodynamic

Natural gas is a promising resource for Canada's economic growth and energy sustainability. According to the 2014 BC Jobs Plan, more than 100,000 jobs can be created in British Columbia alone through the extraction, liquefaction, and export of liquefied natural gas (LNG). Natural gas has been identified as an environmentally superior alternative to gasoline or diesel for green transportation, and several Canadian companies are already market leaders in systems for natural gas fueled vehicles. To strengthen Canada’s position as a world leader in the extraction and utilization of natural gas, a program of research is needed with a specific focus on improving the efficiency and reliability of the pumps, turbines, and other fluid machinery used in natural gas systems. Designing fluid machinery for the natural gas industry poses significant challenges due to the presence of aerodynamic and phase instabilities in the fluids flowing through the equipment. Aerodynamic instabilities can trigger transition of the flow from an orderly, laminar state to turbulence, which significantly affects equipment efficiency. Aerodynamic instabilities can also trigger phase instabilities in LNG flows resulting in cavitation, a process in which vapour bubbles form in the flow and then rapidly collapse, causing damage to the machine. To ensure the safety, reliability, and efficiency of new fluid machinery designs, engineers need robust and accurate models to predict the onset and growth of instabilities in the flow. Current predictive models lack a solid grounding in the physical processes occurring in the flow, require extensive tuning, and overlook the interaction between aerodynamic and phase instabilities. The proposed research program aims to provide Canadian industry much-needed analytical models capable of predicting transition to turbulence and cavitation in fluid machinery. The research methodology will consist primarily of high-fidelity numerical simulations. Computational fluid dynamics (CFD) will be used to simulate the aerodynamic instability modes by which a flow transitions to turbulence. The mutual interaction of aerodynamic and phase instabilities will be studied by incorporating realistic fluid properties and multiphase algorithms into the simulations. The analytical models will be developed on the basis of the improved physical understanding provided by the numerical simulations and will be integrated into modern computational engineering software for quick adoption by industry. The research program will train engineers who are specialized in numerical simulation of fluid flows and possess a broad understanding of fluid machinery in the natural gas industry, positioning them as strong contributors to this rapidly-growing area of Canada’s economy.

天然气是加拿大经济和能源可持续性的诺言。 Foren Transportation，Alread Y自然气体燃料系统的市场领导者。 由于在FE中存在空气动力学和相位不稳定性，因此为设备的空气动力学和相位不稳定而产生的液体效率也可以在LNG流中相位，这是在液化疾病中，因此，天然气行业的流体机制显着然后迅速崩溃，造成机器的损坏，以确保新的流体机械设计的安全性，可靠性和效率，工程师需要公告和准确的模型来发作和增长。流，并忽略了国际和阶段。 拟议的研究计划旨在提供急需的分析模型，以预测湍流CAV和ITACH，以及主要具有高保真性的研究。湍流。通过将逼真的流体和多相算法纳入数值模拟的改善的物理理解中，并将其集成到现代工程软件中，以使行业快速采用火车工程师尝试，将他们定位为加拿大生态越来越快的地区的强大贡献者。