Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Krishnan V. Pagalthivarthi"'
Autor:
Krishnan V. Pagalthivarthi, Anh Tran, John M. Furlan, Yan Wang, Robert J. Visintainer, Jing Sun
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 347:827-852
In this work, we present a constrained batch-parallel Bayesian optimization (BO) framework, termed pBO-2GP-3B, to accelerate the optimization process for high-dimensional and computationally expensive problems, with known and unknown constraints. Two
Autor:
John M. Furlan, Anh Tran, Krishnan V. Pagalthivarthi, Robert J. Visintainer, Yan Wang, Tim Wildey
Publikováno v:
Wear. :9-26
Computational fluid dynamics (CFD)-based wear predictions are computationally expensive to evaluate, even with a high-performance computing infrastructure. Thus, it is difficult to provide accurate local wear predictions in a timely manner. Data-driv
Autor:
Aaron Cutright, Mohamed Garman, Krishnan V. Pagalthivarthi, John M. Furlan, Anh Tran, Robert J. Visintainer, Yan Wang
Publikováno v:
Volume 2: Fluid Mechanics; Multiphase Flows.
Dedicated to the memory of John Furlan. Wear prediction is important in designing reliable machinery for slurry industry. It usually relies on multi-phase computational fluid dynamics, which is accurate but computationally expensive. Each run of the
Publikováno v:
Volume 1C, Symposia: Gas-Liquid Two-Phase Flows; Gas and Liquid-Solid Two-Phase Flows; Numerical Methods for Multiphase Flow; Turbulent Flows: Issues and Perspectives; Flow Applications in Aerospace; Fluid Power; Bio-Inspired Fluid Mechanics; Flow Manipulation and Active Control; Fundamental Issues and Perspectives in Fluid Mechanics; Transport Phenomena in Energy Conversion From Clean and Sustainable Resources; Transport Phenomena in Materials Processing and Manufacturing Processes.
For the purpose of Computational Fluid Dynamic (CFD) simulations, the broad particle size distribution (PSD) encountered in industrial slurries is classified into a discrete number of size classes. Since mono-size simulations consume much less comput
Publikováno v:
Volume 1C, Symposia: Gas-Liquid Two-Phase Flows; Gas and Liquid-Solid Two-Phase Flows; Numerical Methods for Multiphase Flow; Turbulent Flows: Issues and Perspectives; Flow Applications in Aerospace; Fluid Power; Bio-Inspired Fluid Mechanics; Flow Manipulation and Active Control; Fundamental Issues and Perspectives in Fluid Mechanics; Transport Phenomena in Energy Conversion From Clean and Sustainable Resources; Transport Phenomena in Materials Processing and Manufacturing Processes.
Coriolis and impact wear testers are commonly used in the slurry industry to determine the sliding and impact wear coefficients (respectively) for a given combination of slurry and wear substrate material. In these experiments, the mass loss of wear
Publikováno v:
The Journal of Computational Multiphase Flows, Vol 3, Iss 4, Pp 225-245 (2011)
The paper discusses numerical prediction of erosion wear trends in centrifugal pump casing pumping dilute slurries. The casing geometry is considered two-dimensional. Discrete Phase Model (DPM) in FLUENT 6.1® is utilized to obtain dilute slurry flow
Publikováno v:
The Journal of Computational Multiphase Flows, Vol 1, Iss 3, Pp 263-281 (2009)
Erosion wear prediction in fully developed multi-size particulate flow through horizontal pipes is carried out numerically using Galerkin finite element methodology. The predicted multi-size particulate flow field near the pipe wall is correlated wit
Publikováno v:
The Journal of Computational Multiphase Flows, Vol 1, Iss 2, Pp 133-160 (2009)
A comparison of three turbulence models in modeling and validating dense multi-size particulate flow through rotating channel is presented. All the three turbulence models incoporate a rotation modification to the production term in the turbulent kin
Publikováno v:
Pattern Recognition Letters. 28:1873-1884
Specific domains in video data contain rich temporal structures that help in classification process. In this paper, we exploit the temporal structure to characterize video sequence data into different classes. We propose the following perceptual feat
Publikováno v:
Volume 1: Symposia.
Flow through centrifugal pump casing is highly complex in nature due to the complex geometry of the casing. While simplified two dimensional modeling of pump casing reveals the overall flow pattern and pressure distribution, a complete 3D model of pu