3D CFD simulations of air cooled condenser-III: Thermal–hydraulic characteristics and design optimization under forced convection conditions

2016 ◽  
Vol 93 ◽  
pp. 1227-1247 ◽  
Author(s):  
Ankur Kumar ◽  
Jyeshtharaj B. Joshi ◽  
Arun K. Nayak ◽  
Pallippattu K. Vijayan
Keyword(s):  
Design Optimization ◽  
Forced Convection ◽  
Hydraulic Characteristics ◽  
Cfd Simulations

A Kriging-Simulated Annealing Meta-Algorithm for Optimization of Convective Heat Transfer in a Grooved Channel

2011 ◽  
Author(s):  
Sertac Cadirci ◽  
Alpay Akguc ◽  
Hasan Gunes
Keyword(s):  
Heat Transfer ◽  
Simulated Annealing ◽  
Design Optimization ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Transfer Problem ◽  
Geometry Optimization ◽  
Constant Heat Flux ◽  
Design Tool ◽  
Cfd Simulations

As computational fluid dynamics (CFD) simulations still take a lot of time in industry for design optimization analyses, we propose to reduce the number of required CFD simulations considerably using a new meta-algorithm. The algorithm consists of employing kriging in conjunction with simulated annealing (SA) as a design tool. The method enables effective and fast design optimization for complex fluid flow systems. In this paper, it is applied to a convective heat transfer problem in a channel with periodic heat sources with constant heat flux. We show that the geometry optimization of two dimensional thermo-fluids problems in complex geometries is made more effective and faster using kriging-simulated annealing meta-algorithm.

scholarly journals A review on the thermal hydraulic characteristics of the air-cooled heat exchangers in forced convection

Sadhana ◽  
2015 ◽  
Vol 40 (3) ◽  
pp. 673-755 ◽  
Author(s):  
ANKUR KUMAR ◽  
JYESHTHARAJ B JOSHI ◽  
ARUN K NAYAK ◽  
PALLIPPATTU K VIJAYAN
Keyword(s):  
Forced Convection ◽  
Heat Exchangers ◽  
Hydraulic Characteristics

scholarly journals EFFICIENT QUANTIFICATION OF FREE AND FORCED CONVECTION VIA THE DECOUPLING OF THERMO-MECHANICAL AND THERMO-FLUIDIC SIMULATIONS OF MACHINE TOOLS

2018 ◽  
Vol 18 (2) ◽  
pp. 41-53
Author(s):  
Janine GLAENZEL ◽  
Steffen IHLENFELDT ◽  
Christian NAUMANN ◽  
Matthias PUTZ
Keyword(s):  
Machine Tool ◽  
Forced Convection ◽  
Machine Tools ◽  
Heat Dissipation ◽  
Cfd Simulation ◽  
Ambient Conditions ◽  
Transfer Coefficients ◽  
Time Step ◽  
Cfd Simulations ◽  
Positioning Errors

Thermo-elastic deformations represent one of the main reasons for positioning errors in machine tools. Investigations of the thermo-mechanical behaviour of machine tools, especially during the design phase, rely mainly on thermo-elastic simulations. These require the knowledge of heat sources and sinks and assumptions on the heat dissipation via convection, conduction and radiation. Forced convection such as that caused by moving assemblies has both a large influence on the heat dissipation to the surrounding air. The most accurate way of taking convection into account is via computational fluid dynamics (CFD) simulations. These simulations compute heat transfer coefficients for every finite element on the machine tool surface, which can then be used as boundary conditions for accurate thermo-mechanical simulations. Transient thermo-mechanical simulations with moving assemblies thus require a CFD simulation during each time step, which is very time-consuming. This paper presents an alternative by using characteristic diagrams to interpolate the CFD simulations. The new method uses precomputed thermal coefficients of a small number of load cases as support points to estimate the convection of all relevant load cases (i.e. ambient conditions). It will be explained and demonstrated on a machine tool column.

Truck Trailer Aerodynamic Design Optimization Through CFD Simulations

2020 ◽  
Author(s):  
Filipe Fabian Buscariolo ◽  
Felipe Magazoni ◽  
Leonardo José Della Volpe ◽  
Flavio Koiti Maruyama ◽  
Julio Cesar Lelis Alves
Keyword(s):  
Design Optimization ◽  
Aerodynamic Design ◽  
Cfd Simulations ◽  
Aerodynamic Design Optimization

scholarly journals Design Optimization of a Novel Receiving Cavity for Concentrated Solar Power Applications by Means of 3D CFD Simulations

2015 ◽  
Vol 69 ◽  
pp. 379-387 ◽  
Author(s):  
A. Gaetano ◽  
S.A. Zavattoni ◽  
M.C. Barbato ◽  
P. Good ◽  
G. Ambrosetti ◽  
...  
Keyword(s):  
Design Optimization ◽  
Solar Power ◽  
Concentrated Solar Power ◽  
Cfd Simulations

An Invariant Descriptor for the Conjugate Cooling of Discrete Heaters in a Duct

2013 ◽  
Author(s):  
Bruna R. Loiola ◽  
Carlos A. C. Altemani
Keyword(s):  
Forced Convection ◽  
Power Dissipation ◽  
Circuit Boards ◽  
Rectangular Duct ◽  
Electronic Components ◽  
Cfd Simulations ◽  
Arbitrary Power ◽  
Heat Spreaders ◽  
Convection Cooling ◽  
Conduction Cooling

Forced convection cooling of electronic components mounted on circuit boards may be conveniently enhanced by conductive boards because they act as heat spreaders for the components’ cooling. This gives rise to a conjugate forced convection-conduction cooling of discrete components mounted on a board. An experimental investigation was performed to show that the temperatures of two thermal mockups mounted on the lower conductive wall of a rectangular duct cooled by forced airflow may be conveniently predicted by means of dimensionless conjugate coefficients g+ij. They are invariant with the heaters power dissipation and they may be grouped in a square matrix G+. The results were expressed as functions of the airflow Reynolds number, based on the duct hydraulic diameter, in the range from 1,600 to 6,500. The conjugate coefficients were conveniently obtained from tests with a single active heater at a time. Additional tests showed that for arbitrary power dissipation in both heaters, their temperatures were well predicted by the invariant conjugate coefficients. Numerical CFD simulations were also performed for conditions similar to those of the tests and the results were compared to those of the experiments.

Optimized Design of Wastewater Disinfection Reactors Based on an Artificial Neural Network Metamodel

2016 ◽  
Author(s):  
Wangshu Wei ◽  
Charles N. Haas ◽  
Bakhtier Farouk
Keyword(s):  
Wastewater Treatment ◽  
Design Space ◽  
Sampling Technique ◽  
Optimized Design ◽  
Hydraulic Characteristics ◽  
Cfd Simulations ◽  
Performance Space ◽  
Wastewater Disinfection ◽  
Treatment Facilities ◽  
Computational Fluid Dynamics Cfd

Peracetic acid (PAA) is an emerging disinfectant for the treatment of wastewater. While it would be possible to optimize the design of this system using computational fluid dynamics (CFD), the computational intensity would be high. As an alternative, we show that an Artificial Neutral Network (ANN) based metamodel can approximate the CFD solutions over an 11 dimensional performance space (dimensions, hydraulic characteristics, and chemical kinetics). By sampling the design space using a quasi-random sampling technique, a series of CFD simulations of disinfection characteristics of PAA in a wastewater treatment reactor are carried out. After a training process using 40 different CFD runs are completed, the ANN developed can be used to achieve an optimized design of wastewater treatment facilities with minimal total cost and acceptable disinfection performance efficiency.

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