About the Use of Computational Fluid Dynamics (CFD) in the Framework of Physical Limnological Studies on a Great Lake

2011 ◽  
pp. 257-277 ◽  
Author(s):  
Leonardo Castellano ◽  
Walter Ambrosetti ◽  
Nicoletta Sala
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Research Council ◽  
National Research Council ◽  
Computer Code ◽  
Current State ◽  
Computational Fluid Dynamics Cfd ◽  
In Situ Observations ◽  
Consiglio Nazionale Delle Ricerche

The aim of this chapter is to discuss how far computational fluid dynamics (CFD) is currently able to simulate the limnological physics of a complex natural body of water. The experience reported by the authors is in progress at the CNR- ISE (Consiglio Nazionale delle Ricerche, Istituto per lo Studio degli Ecosistemi; National Research Council, Institute of Ecosystem Study) of Pallanza, Italy. The main features of the current state of the art in this field of application of mathematical modeling techniques are summarized and the characteristics of the computer code now in use for our studies on Lake Maggiore are described in detail. Examples of the kind of information that can be extracted from the outputs are given to show how knowledge collected by traditional analysis of the experimental data and in situ observations can be improved with this kind of support. Forecasts for future trends are also suggested.

Initial Findings on the Feasibility of Real-Time Feedback Control of a Hazardous Contaminant Released Into Channel Flow by Means of a Laboratory-Scale Physical Prototype

2014 ◽  
Author(s):  
Sara P. Rimer ◽  
Nikolaos D. Katopodes ◽  
April M. Warnock
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Control ◽  
Real Time ◽  
Public Spaces ◽  
Control Model ◽  
Toxic Chemicals ◽  
Current State ◽  
Physical Prototype ◽  
Computational Fluid Dynamics Cfd

The threat of accidental or deliberate toxic chemicals released into public spaces is a significant concern to public safety. The real-time detection and mitigation of such hazardous contaminants has the potential to minimize harm and save lives. We develop a computational fluid dynamics (CFD) flow control model with the capability of detecting and mitigating such contaminants. Furthermore, we develop a physical prototype to then test the computer model. The physical prototype is in its final stages of construction. Its current state, along with preliminary examples of the flow control model are presented throughout this paper.

Using Computational Fluid Dynamics and Finite Element Analysis to Determine Bolt Stresses Due to Thermal Cyclic Loading

2010 ◽  
Author(s):  
Phil Martinez ◽  
Sean M. McGuffie ◽  
Michael A. Porter
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Original Design ◽  
Element Analysis ◽  
Current State ◽  
Art Practices ◽  
Asme Code ◽  
Computational Fluid Dynamics Cfd ◽  
Areas Of Interest

This paper details the procedures necessary to accurately determine the stress in the bolts on a coke gasifier inlet flange using current state-of-the-art practices. Using accepted ASME Code practices (ASME [1]), the stress results are then used to justify the elimination of the spacers that were specified in the original design. Computational fluid dynamics (CFD) is employed to determine heat transfer coefficient distributions in the areas of interest. Finite element (FE) analysis is used to compute the transient assembly temperatures and related bolt stresses. By evaluating the bolt stresses as specified in ASME Div. 1 [1], these analyses were used to determine that the spacers could safely be eliminated during operation.

Perspective: Future Research Directions in Computational Fluid Dynamics

1994 ◽  
Vol 116 (2) ◽  
pp. 212-215 ◽  
Author(s):  
R. W. Douglass ◽  
J. D. Ramshaw
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Future Research ◽  
Complex Flows ◽  
Research Directions ◽  
Simulation Research ◽  
Current State ◽  
Future Research Directions ◽  
Computational Fluid Dynamics Cfd ◽  
Real Fluids

The current state of computational fluid dynamics (CFD) has yet to reach its full promise as a general tool for engineering design and simulation. Research in the areas of code robustness, complex flows of real fluids, and numerical errors and resolution are proposed as directions aiming toward that goal. We illustrate some of the current CFD challenges using selected applications.

Relative Humidity in Liquid, Mixed-Phase, and Ice Clouds

2006 ◽  
Vol 63 (11) ◽  
pp. 2865-2880 ◽  
Author(s):  
Alexei Korolev ◽  
George A. Isaac
Keyword(s):  
Relative Humidity ◽  
Research Council ◽  
Large Fraction ◽  
National Research Council ◽  
Mixed Phase ◽  
Ice Clouds ◽  
In Situ Observations ◽  
Frontal Systems ◽  
Mixed Phase Clouds

Abstract The results of in situ observations of the relative humidity in liquid, mixed, and ice clouds typically stratiform in nature and associated with mesoscale frontal systems at temperatures −45°C < Ta < −5°C are presented. The data were collected with the help of instrumentation deployed on the National Research Council (NRC) Convair-580. The length of sampled in-cloud space is approximately 23 × 103 km. The liquid sensor was calibrated in liquid clouds with the assumption that the air in liquid clouds is saturated with respect to water. It was found that the relative humidity in mixed-phase clouds is close to saturation over water in the temperature range from −5° to −35°C for an averaging scale of 100 m. In ice clouds the relative humidity over ice is not necessarily equal to 100%, and it may be either lower or higher than saturation over ice, but it is always lower than saturation over water. On average the relative humidity in ice clouds increases with a decrease of temperature. At −40°C the relative humidity over ice is midway between saturation over ice and liquid. A parameterization for the relative humidity in ice clouds is suggested. A large fraction of ice clouds was found to be undersaturated with respect to ice. The fraction of ice clouds undersaturated with respect to ice increases toward warmer temperatures.

scholarly journals Computational Fluid Dynamics Applied to Lubricated Mechanical Components: Review of the Approaches to Simulate Gears, Bearings, and Pumps

2020 ◽  
Vol 10 (24) ◽  
pp. 8810
Author(s):  
Lorenzo Maccioni ◽  
Franco Concli
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Mechanical Systems ◽  
Computational Domain ◽  
Power Losses ◽  
Cfd Simulations ◽  
Current State ◽  
Computational Fluid Dynamics Cfd ◽  
Mechanical Components ◽  
Complex Mechanical Systems

The lubrication of the mechanical components reduces friction, and increases the efficiency and the reliability. However, the interaction of moving components with the lubricant leads to power losses due to viscous and inertial effects. Nowadays, the study of lubricant behavior can be carried out through computational fluid dynamics (CFD) simulations. Nevertheless, the modeling of the computational domain within complex mechanical systems (e.g., ordinary, planetary and cycloidal gearboxes, roller bearings, and pumps) requires the exploitation of specific CFD techniques. In the last decades, many mesh-based or meshless approaches have been developed to deal with the complex management of the topological changes of the computational domain or the modeling of complex kinematics. This paper aims to collect and to classify the scientific literature where these approaches have been exploited for the study of lubricated mechanical systems. The goal of this research is to shed a light on the current state of the art in performing CFD analysis of these systems. Moreover, the objective of this study is to stress the limits and the capabilities of the main CFD techniques applied in this field of research. Results show the main differences in terms of accuracy achievable and the level of complexity that can be managed with the different CFD approaches.

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