Browsing by Author "Manohar, Kevin Harsh"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access Multiphase Flow Analysis Conducted on a Small-Scale Sand Separator(University of Calgary, 2019-09-24) Manohar, Kevin HarshThe purpose of this project was to experimentally validate Computational Fluid Dynamics (CFD) performed on a small-scale sand separator, referred to in this document as a ‘desander’, as part of a PhD Thesis. The design of the original desander that is used by Specialized Desanders Inc. is meant to separate sand from a four-phase system consisting of frac sand, air, water and oil. As part of a PhD thesis, CFD analysis is to be performed on a small-scale prototype. Initially, a two-phase air-water system was analyzed in order to study the behavior of water prior to the addition of sand. Then, frac sand was systematically added to study the sand bank evolution. The main areas that were explored in this project are key quantitative information which can be used to validate a CFD model. They are (i) the velocity field of water at the inlet and weir locations, (ii) characterization of the air-water interface wave frequency and amplitude, and (iii) the three-dimensional settling behavior of sand as well as the transient development of the sand bank when sand is injected at a controlled rate into the air-water system.Item Open Access Sensor-based Temporal Superresolution: Application to turbulent separated flow over a three-dimensional Gaussian hill(2023-09-14) Manohar, Kevin Harsh; Martinuzzi, Robert; Morton, Christopher; Limacher, Eric John; Liao, WenyuanThe high Reynolds-number turbulent separated flow over a Gaussian speed-bump benchmark geometry presents challenges for predicting smooth-body flow separation. The lack of time-resolved experimental data further hampers the understanding of the three-dimensional unsteady dynamics. This thesis addresses these issues in two parts. First, a data-driven technique using high-rate surface-pressure sensors and long short-term memory (LSTM) neural networks is proposed to estimate aliased velocity dynamics from undersampled particle image velocimetry (PIV) data, revealing low and medium-frequency modes. Second, the three-dimensional unsteady wake dynamics is characterized using additional surface-pressure measurements and two-component PIV. Four dominant frequencies are identified, with a very low-frequency spanwise oscillation of the recirculating zone, two low frequencies associated with the primary separation front motion, and a higher frequency from shear layer vortex shedding. Proper orthogonal decomposition analysis highlights interactions between these modes. The instantaneous vortex topology is conceptualized to infer physical mechanisms that give rise to these frequencies.