Creating new capabilities of existing experimental techniques (UVP, PIV) by using CFD and AI

我的项目的总体目标是使用数据驱动的方法来改进实验工具，我成功地实现了这一点。该项目分为两部分：第一部分是开发流体流动压力场测量技术，这是传统技术无法实现的。该项目的这一部分特别侧重于基于UVP（超声波测速仪）和PIV（粒子图像测速仪）测量的不透明牛顿和非牛顿流体的压力场估计。开发了三种新技术，用于牛奶和剪切稀化流体在圆柱体后面流动。部分研究成果以两篇文章的形式发表在国际期刊《流体实验》和《流量测量与仪器》上，由知名出版商施普林格和Elsevier出版。该项目的第二部分致力于改进现有高速摄像机的时间分辨率，以进行时间分辨率测量，并通过敏感涂料同时测量同一表面上的压力和温度。数据驱动技术如适当的正交分解和传感器选择方法已被用于超声速射流的时间分辨测量。提出了一种基于传感器选择的翼型压力场和温度场同时测量方法。我的博士后研究成果很快就会在国际期刊上发表。该项目还在四次国际会议上发表了演讲。

The overall goal of my project was to improve the experimental tools using data driven methods which I achieved successfully. The project had two parts: first part was to develop technology for pressure field measurement in fluid flows which was not possible by traditional techniques. This part of the project specifically focused on pressure field estimation in opaque Newtonian and non-Newtonian fluids based on UVP (Ultrasonic velocity profiler) and PIV (Particle image velocimetry) measurements. Three novel techniques were developed for milk and shear-thinning fluid flows behind the circular cylinder. Some of the research outcomes have been published as two articles in international journals in “Experiments in Fluids” and “Flow Measurements and Instrumentation” by reputed publishers Springer and Elsevier. The second part of the project was dedicated to the improvement of the temporal resolution of available high-speed cameras for time-resolved measurements and simultaneous measurement of pressure and temperature on same surface by sensitive paints. Data-driven techniques such as proper orthogonal decomposition and sensor selection method have been utilized for time-resolved measurement in supersonic jet flows. A novel technique has been developed based on sensor selection method for simultaneous measurement of pressure and temperature fields on airfoil. The result of my postdoc work will be published very soon in international Journals. The project also resulted in four international conference presentations.