3D Macroscopic Model for Fluid Flow and Soot Deposit in Wall Flow Honeycomb DPF

2003 ◽  
Author(s):  
L. Oxarango ◽  
P. Schmitz ◽  
M. Quintard ◽  
S. Bardon
Keyword(s):  
Fluid Flow ◽  
Macroscopic Model ◽  
Wall Flow ◽  
Soot Deposit

Modeling Traffic Flows with Fluid Flow Model

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Paulus Setiawan Suryadjaja ◽  
◽  
Maclaurin Hutagalung ◽  
Herman Yoseph Sutarto ◽  
◽  
...  
Keyword(s):  
Fluid Flow ◽  
Traffic Flow ◽  
Flow Model ◽  
Intelligent Transportation System ◽  
Macroscopic Model ◽  
Chain Process ◽  
Data Traffic ◽  
Flow Data ◽  
Order Markov Chain ◽  
Parameter Values

This Research presents a macroscopic model of traffic flow as the basis for making Intelligent Transportation System (ITS). The data used for modeling is The number of passing vehicles per three minutes. The traffic flow model created in The form of Fluid Flow Model (FFM). The parameters in The model are obtained by mixture Gaussian distribution approach. The distribution consists of two Gaussian distributions, each representing the mode of traffic flow. In The distribution, intermode shifting process is illustrated by the first-order Markov chain process. The parameters values are estimated using The Expectation-maximization (EM) algorithm. After The required parameter values are obtained, traffic flow is estimated using the Observation and transition-basedmost likely estimates Tracking Particle Filter (OTPF). To Examine the accuracy of the model has been made, the model estimation results are compared with the actual traffic flow data. Traffic flow data is collected on Monday 20 September 2017 at 06.00 to 10.00 on DipatiukurRoad, Bandung. The proposed model has accuracy with MAPE value below 10%, or falls into highly accurate categories

Numerical Calculation of Fluid Flow in a Continuous Casting Tundish

2013 ◽  
Vol 774-776 ◽  
pp. 316-320
Author(s):  
Yang Li ◽  
Yan Jin ◽  
Hui Yu ◽  
Kang Yang ◽  
Fan Ai ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Fluid Flow ◽  
Numerical Calculation ◽  
Flow Field ◽  
Continuous Casting ◽  
Molten Steel ◽  
Liquid Steel ◽  
Retaining Wall ◽  
Continuous Casting Tundish ◽  
Wall Flow

Placement in the middle retaining wall package, aimed at controlling the flow of liquid steel forms, so that movement of a reasonable level remained stable, while reducing interference from turbulence and dead zones, molten steel in order to extend the average stay of removal in favor of inclusion to improve the cleanliness of molten steel. Keywords:Tundish; Retaining Wall; Flow field; Mathematical Modeling; Inclusion;Optimization setting

Fluid Flow and Heat Transfer in Duct Fan Flows with Top-Wall Rectangular-Wing Turbulators

2008 ◽  
Vol 24 (2) ◽  
pp. N15-N19
Author(s):  
T. Y. Chen ◽  
Y. H. Chen
Keyword(s):  
Heat Transfer ◽  
Nusselt Number ◽  
Fluid Flow ◽  
Bottom Wall ◽  
Flow Structures ◽  
Mean Velocity ◽  
Flow Parameters ◽  
Flow And Heat Transfer ◽  
Wall Flow ◽  
Near Wall

ABSTRACTFluid flow and heat transfer in duct fan flows with a 90° rectangular-wing turbulator, mounted on the top duct wall, were experimentally studied and compared with the bottom-wall turbulator results. Threecomponent velocities were measured to characterize the flow structures and to obtain near-wall flow parameters. Temperatures on heat transfer surfaces were measured to obtain Nusselt number distributions. Results show that the turbulator has the effect to increase the near-wall axial mean velocity, axial vorticity and turbulent kinetic energy, and, consequently, augment the heat transfer. The axial mean velocity and axial vorticity play an influential role on the heat transfer distributions for the flows across the top-wall and bottom-wall turbulators, respectively.

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