Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: September 2007
Authors: Woo Hyun Song, Kazutoshi Nishimoto, Kazuyoshi Saida
The theoretical approaches to the erosion and wetting/flowing phenomena during the
laser brazing process were made by the computer simulation.
The preheating temperature profile measured in the tandem beam brazing was counted in the simulation (Fig.6(b)).
It follows that the wetting/flowing behaviors of the filler metal during the laser brazing process can be predicted by the computer simulation.
(3) The flow of the melted Au-18%Ni filler metal on a butt joint of Inconel 600 during the laser brazing process was analyzed by the computer simulation.
[10] Flow Science, Inc. customized by CFD Lab., (2005)
The preheating temperature profile measured in the tandem beam brazing was counted in the simulation (Fig.6(b)).
It follows that the wetting/flowing behaviors of the filler metal during the laser brazing process can be predicted by the computer simulation.
(3) The flow of the melted Au-18%Ni filler metal on a butt joint of Inconel 600 during the laser brazing process was analyzed by the computer simulation.
[10] Flow Science, Inc. customized by CFD Lab., (2005)
Online since: September 2008
Authors: Robert E. Skelton, Fa Ming Li, Mauricio de Oliveira
Optimal simulation for large dynamic systems
Robert E.
When a model is selected for simulation, it is tempted to believe that the higher the model order, the more accurate the simulation result.
This myth has driven the efforts to use computation-intensive tools, such as computational fluid dynamics (CFD) and finite element analysis (FEA), in system modeling, which usually generate simulation models of tens of thousands or even millions of order.
Therefore, both the dimension and the realization of the simulation model can influence the performance of a computational simulation.
A fixed point digital simulation problem is considered.
When a model is selected for simulation, it is tempted to believe that the higher the model order, the more accurate the simulation result.
This myth has driven the efforts to use computation-intensive tools, such as computational fluid dynamics (CFD) and finite element analysis (FEA), in system modeling, which usually generate simulation models of tens of thousands or even millions of order.
Therefore, both the dimension and the realization of the simulation model can influence the performance of a computational simulation.
A fixed point digital simulation problem is considered.
Online since: July 2014
Authors: Ya Ping Chen, Rui Bing Cao, Jia Feng Wu
Mathematical models
Along with the rapid expanding of CFD commercial software, numerical simulation speeds up for more vivid comprehension of the mechanism.
Calculation subprograms of numerical simulations on the density, film thickness, isobaric specific heat capacity and viscosity are conducted.
The simulation results predict that the average concentration of once film-inverse scheme is slightly lower than that of the once mixing uniform scheme.
Numerical Simulation of Characteristics of Falling Film Absorption on Vertical Corrugation Plates for Aqueous Li-Br Solution.
Numerical simulation of heat and mass transfer enhancement in absorption process with double-side film-inversion.
Calculation subprograms of numerical simulations on the density, film thickness, isobaric specific heat capacity and viscosity are conducted.
The simulation results predict that the average concentration of once film-inverse scheme is slightly lower than that of the once mixing uniform scheme.
Numerical Simulation of Characteristics of Falling Film Absorption on Vertical Corrugation Plates for Aqueous Li-Br Solution.
Numerical simulation of heat and mass transfer enhancement in absorption process with double-side film-inversion.
Online since: February 2009
Authors: Akii Okonigbon Akaehomen Ibhadode, L.B. Zhengwuvi
The computer simulation of the casting detects the risering problems and provides remedies
without having actually produced the casting.
The method could be used as guidelines/riserng rules in metal casting since the computer simulation does not provide the initial riser design and does not automatically optimize the risering.
It is also useful in developing a reasonable starting point for computer simulation of casting process, which shortens the iteration optimization cycle.
Pellini: Simplified Method for Determining Riser Dimensions, AFS Transactions, Vol.63 (1955) ,p.271-281 [8] Information on http://www:ingentaconnet.com [9] Informationonhttp://www.engineering.uiowa.edu [10] Information on http://www.esigroup.com [11] Information on http:// www.cfd.com [12] Information on http://www.cmis.csiro [13] Informationonhttp://www.springerlink.com [14] Information on http://www.scientific.net Nomenclature f feeder efficiency rf VV , riser(feeder) volume cV volume of casting volumetric shrinkage of the casting metal SF shape factor L length of casting W width of casting T thickness of casting X freezing ratio fr AA , surface area of riser (feeder) cast fM modulus of feeder hM modulus of casting D diameter of riser 1D internal diameter of casting 2D external diameter of casting h height of riser cast 1h height of unsegmented casting 2h height of
The method could be used as guidelines/riserng rules in metal casting since the computer simulation does not provide the initial riser design and does not automatically optimize the risering.
It is also useful in developing a reasonable starting point for computer simulation of casting process, which shortens the iteration optimization cycle.
Pellini: Simplified Method for Determining Riser Dimensions, AFS Transactions, Vol.63 (1955) ,p.271-281 [8] Information on http://www:ingentaconnet.com [9] Informationonhttp://www.engineering.uiowa.edu [10] Information on http://www.esigroup.com [11] Information on http:// www.cfd.com [12] Information on http://www.cmis.csiro [13] Informationonhttp://www.springerlink.com [14] Information on http://www.scientific.net Nomenclature f feeder efficiency rf VV , riser(feeder) volume cV volume of casting volumetric shrinkage of the casting metal SF shape factor L length of casting W width of casting T thickness of casting X freezing ratio fr AA , surface area of riser (feeder) cast fM modulus of feeder hM modulus of casting D diameter of riser 1D internal diameter of casting 2D external diameter of casting h height of riser cast 1h height of unsegmented casting 2h height of
Online since: May 2011
Authors: Zhen Biao Liu, Li Zhong Xu, Guang Chao Hou, Hong Sheng Hu
With the development of computer technology, numerical simulation technology, using CFD software, arises through establishing the calculation model and the division of grid, definition boundary conditions, decoding control, calculation and solution obtained results processing steps, obtain the airflow velocity of electrostatic precipitator inlet section points and electric field airflow cross-section.
Physical Simulation Test Equipment.
Numerical Simulation Content.
Established Numerical Simulation Model.
Numerical simulation conforms to real simulation results.
Physical Simulation Test Equipment.
Numerical Simulation Content.
Established Numerical Simulation Model.
Numerical simulation conforms to real simulation results.
Online since: October 2011
Authors: Shao Wu Yin, Li Wang, Li Ge Tong, Fu Ming Yang, Yan Hui Li
Lv, Study on the Thermal State Experiment and CFD Simulation of Bubbling Fluidized Bed of Synthesis of Si3N4, master's degree thesis.
Online since: December 2012
Authors: Yue Ren Wang, Nan Wu, Wei Qi
This paper which uses software Airpak as the simulation platform is based on equations of hydrodynamics the dispersion model of indoor CO2.
[2] Smith P, Beven K, Tawn J: Water Resources Research, Vol. 42 (2006), p. 4412-4420 [3] Fujun Wang, in: Analysis of computational fluid dynamics—theory and apply of CFD software, Beijing (2004), in Tsinghua University Press
[2] Smith P, Beven K, Tawn J: Water Resources Research, Vol. 42 (2006), p. 4412-4420 [3] Fujun Wang, in: Analysis of computational fluid dynamics—theory and apply of CFD software, Beijing (2004), in Tsinghua University Press
Online since: January 2013
Authors: Hyo Ryeol Lee, Jung Hwan Ahn, Yong Sik Cho, Hwa Young Kim
Mostofa[3] showed that the vortex created inside the mixing chamber by CFD simulation.
Online since: September 2012
Authors: Fu Hou Xu, Yu Xiang Zhang, Hua Cheng Li, Jin Biao Xu
The calculation method
Based on the CFD software FLUENT, the density base solver was used, the implicit control equations form was selected.
The example and application of FLUENT simulation calculation.
The example and application of FLUENT simulation calculation.
Online since: March 2018
Authors: Cheol Woo Park, Kyung Won Kim, Brandon Y. Boeur, Sin Jae Hyun
Longest, 2016, Absorption and clearance of pharmaceutical aerosols in the human nose: development of a CFD model, Journal of Aerosol Medicine and Pulmonary Drug Delivery, 29(5), 416-431
Bandpy, 2016, Details of regional particle deposition and airflow structures in a realistic model of human tracheobronchial airways: two-phase flow simulation, Computers in Biology and Medicine, 74, 1-17.
Bandpy, 2016, Details of regional particle deposition and airflow structures in a realistic model of human tracheobronchial airways: two-phase flow simulation, Computers in Biology and Medicine, 74, 1-17.