numerical prediction of iron flow and bottom erosion in
Investigation of erosion behavior of 304 stainless steel
Jun 29 2020 · Figure 10a shows the erosion rate in terms of particle mass flow rate for both. It was seen that the simulation results agreed well with the experimental data with a little higher (about 10 ) than the experimental data. The erosion rate increased with particle mass flow rate. Figure 10b shows the erosion rate in terms of particle diameter. It
Get PriceNumerical modelling of rapid flow-like landslides across
Erosion phenomena were rarely observed along the flow path so we set a slight erosion rate of E r = 0.0005 and critical velocity as V critical = 4 m s − 1. All the parameters for the El Picacho landslide model are listed below in Table 1.
Get PriceInvestigation of erosion behavior of 304 stainless steel
Jun 29 2020 · Figure 10a shows the erosion rate in terms of particle mass flow rate for both. It was seen that the simulation results agreed well with the experimental data with a little higher (about 10 ) than the experimental data. The erosion rate increased with particle mass flow rate. Figure 10b shows the erosion rate in terms of particle diameter. It
Get Price"Numerical and Experimental Investigations of Dam and
Dec 14 2015 · Both numerical and experimental investigations are conducted to study the failure of earthen dams and levees. Boussinesq equations describing one-dimensional unsteady flow including non-hydrostatic pressure distribution are solved numerically along with Exner equation for the sediment mass conservation to include the effects of the streamline curvature on the failure of non-cohesive
Get PriceSimulation Analysis of Erosion–Corrosion Behaviors of
Nowadays because of a strong demand for the analysis of erosion–corrosion problems this study focuses on the following aspects numerical study on the fluid flow erosion and corrosion along the axial direction of the pipeline for the real field cases and the related phenomenon of erosion–corrosion expecting to provide detailed and
Get PriceNumerical Analysis on Flow Behavior of Molten Iron and
The resulting numerical solution was used to calculate the wall shear stress and separation efficiency of molten iron from slag at slag port by and respectively at steady state. where is the normal vector. where the mass flow rate of melted iron at the slag port was obtained by and the mass flow rate of iron at the taphole was
Get PriceNumerical Prediction and Risk Analysis of Hydraulic
Numerical Prediction and Risk Analysis of Hydraulic Cavitation Damage in a High-Speed-Flow Spillway. Wuyi Wan 1 Bin Liu 1 and Awais Raza1. 1Department of Hydraulic Engineering College of Civil Engineering and Architecture Zhejiang University Hangzhou
Get PriceNumerical modeling of onset and rate of sand production in
Sand production is the result of transportation of failed sand grains by the flow of reservoir fluids. Sand production problems have been the focus of major discussion in the industry for a long time (Geilikman et al. 1994 Santarelli et al. 1997 Grafutko and Nikolaevskii 1998 Stavropoulou et al. 1998 Papamichos and Malmanger 2001).Operationally the production of sand is in general
Get PricePrediction of Solid Particle Erosive Wear of Elbows in
May 02 2008 · Prediction of erosion in single-phase flow with sand is a difficult problem due to the effect of different parameters and their interactions that cause erosion. The complexity of the problem increases significantly in multiphase flow where the spatial distribution of the liquid and gas phases and their corresponding velocities change continuously.
Get PriceNumerical modeling (geology)Wikipedia
In geology numerical modeling is a widely applied technique to tackle complex geological problems by computational simulation of geological scenarios.. Numerical modeling uses mathematical models to describe the physical conditions of geological scenarios using numbers and equations. Nevertheless some of their equations are difficult to solve directly such as partial differential equations.
Get Price"Numerical and Experimental Investigations of Dam and
Dec 14 2015 · Both numerical and experimental investigations are conducted to study the failure of earthen dams and levees. Boussinesq equations describing one-dimensional unsteady flow including non-hydrostatic pressure distribution are solved numerically along with Exner equation for the sediment mass conservation to include the effects of the streamline curvature on the failure of non-cohesive
Get PriceExperimental investigations and CFD modeling for flow of
Sep 26 2017 · ABSTRACTConsidering a large number of higher solids concentration iron ore slurry pipelines operating across the world and their associated problems the present study aims to generate an extensive experimental dataset from the pilot plant test facility and to carry out computational fluid dynamics (CFD) simulations for better understanding of the flow behavior in such pipelines.
Get PriceInvestigation of erosion behavior of 304 stainless steel
Jun 29 2020 · Figure 10a shows the erosion rate in terms of particle mass flow rate for both. It was seen that the simulation results agreed well with the experimental data with a little higher (about 10 ) than the experimental data. The erosion rate increased with particle mass flow rate. Figure 10b shows the erosion rate in terms of particle diameter. It
Get PriceInvestigation of erosion behavior of 304 stainless steel
Jun 29 2020 · Figure 10a shows the erosion rate in terms of particle mass flow rate for both. It was seen that the simulation results agreed well with the experimental data with a little higher (about 10 ) than the experimental data. The erosion rate increased with particle mass flow rate. Figure 10b shows the erosion rate in terms of particle diameter. It
Get PriceNumerical Simulation of the Topographical Change in Korea
The objectives of this study are to simulate the topographical changes associated with rainfall and the consequential debris flow using terrestrial LiDAR (Light Detection And Ranging). Three rainfall events between July 9 and July 14 2009 triggered a number of debris flows at Jecheon County in Korea. Rain fell at a rate of 64 mm/h producing 400 #x2009mm of total accumulation during this
Get Price"Numerical and Experimental Investigations of Dam and
Dec 14 2015 · Both numerical and experimental investigations are conducted to study the failure of earthen dams and levees. Boussinesq equations describing one-dimensional unsteady flow including non-hydrostatic pressure distribution are solved numerically along with Exner equation for the sediment mass conservation to include the effects of the streamline curvature on the failure of non-cohesive
Get PricePREDICTION ON MORPHOLOGICAL RESPONSE OF DREDGED
channel is parallel to the flow as the deepening of the channel reduces the bottom friction. However if the channel is perpendicular to the flow the flow over the dredged channel will decrease in response to the greater water depth. The latter condition is the case for most dredged pits. The flow could be
Get PriceMathematical model for on-line prediction of bottom and
Nov 01 2003 · The refractory on the bottom and hearth of the blast furnace is slowly eroded by molten iron. The erosion continues until a thermal equilibrium is reached such that the heat flow through the molten pool is equal to the heat removed from external surfaces of the sub-hearth . The carbon saturated iron solidifies at about 1150 °C.
Get PriceNumerical Simulation of the Topographical Change in Korea
The objectives of this study are to simulate the topographical changes associated with rainfall and the consequential debris flow using terrestrial LiDAR (Light Detection And Ranging). Three rainfall events between July 9 and July 14 2009 triggered a number of debris flows at Jecheon County in Korea. Rain fell at a rate of 64 mm/h producing 400 #x2009mm of total accumulation during this
Get PriceKnowledge of Gating system types of Vietnam Cast Iron
In the bottom gate liquid metal fills the lower part of the mold cavity and gradually increases into the mold wall. The bottom gate has the advantage of less chaos and sand erosion than the top gate. The downside of the bottom gate is that the metal flow can be clogged due to
Get PriceSimulation Analysis of Erosion–Corrosion Behaviors of
Nowadays because of a strong demand for the analysis of erosion–corrosion problems this study focuses on the following aspects numerical study on the fluid flow erosion and corrosion along the axial direction of the pipeline for the real field cases and the related phenomenon of erosion–corrosion expecting to provide detailed and
Get PriceNumerical Investigation on Hot Metal Flow in Blast Furnace
stalled in the area of the tapholes and cast iron staves were used in the rest of the area. Besides water-cooling steel pipes were arranged in the hearth bottom. The conductivity of the refractories and cooling components are listed in Tab le 2. 3. Governing Equations and Numerical
Get PriceA numerical study on the softening process of iron ore
Reduced iron-bearing materials start softening in the cohesive zone of a blast furnace due to the high temperature and the weight of the burden above. Softening process causes a reduction of void space between particles. As a result the pressure drop and gas flow change remarkably in this particular zone.
Get PriceNumerical simulation of erosion and erosive prediction on
angles ranging from 15deg. to 30deg. meanwhile erosion for brittle material tend to reach maximum at impact angles ranging from 80deg. to 90deg. and erosion for cast iron tend to reach maximum at impact angles ranging from 50deg. to 70deg. typical curves of relationship between erosion rate and impact angle are shown in Fig. 1.3 10 .
Get PriceNumerical prediction on the erosion in the hearth of a
Numerical Prediction of Iron Flow and Bottom Erosion in the Blast Furnace Hearth model has been developed to deepen the understanding of iron flow and refractory erosion at the bottom of the
Get PriceExperiments and Numerical Simulations of Dike Erosion
Experiments and Numerical Simulations of Dike Erosion due to a Wave Impact Stefania Evangelista and problems with the predictions highlighted the need for further investigation. The real process is in fact very complex to model since it requires taking into The coupling between the unsteady flow and the erodible bottom evolution
Get PriceKnowledge of Gating system types of Vietnam Cast Iron
In the bottom gate liquid metal fills the lower part of the mold cavity and gradually increases into the mold wall. The bottom gate has the advantage of less chaos and sand erosion than the top gate. The downside of the bottom gate is that the metal flow can be clogged due to
Get PriceExperiments and Numerical Simulations of Dike Erosion
Experiments and Numerical Simulations of Dike Erosion due to a Wave Impact Stefania Evangelista and problems with the predictions highlighted the need for further investigation. The real process is in fact very complex to model since it requires taking into The coupling between the unsteady flow and the erodible bottom evolution
Get PriceA numerical study on the softening process of iron ore
Reduced iron-bearing materials start softening in the cohesive zone of a blast furnace due to the high temperature and the weight of the burden above. Softening process causes a reduction of void space between particles. As a result the pressure drop and gas flow change remarkably in this particular zone.
Get PriceThe Influence of Critical Flow Velocity on Corrosion of
Oct 16 2017 · In order to find out the effect of fluid flow velocity on electrochemical reaction the electrochemical parameters of super 13Cr stainless steel in 3.5 NaCl aqueous solution were measured by a jet flow system at different flow velocities. The electrochemical characters such as open-circuit potential and polarization curve were monitored online using a three-electrode electrochemical
Get PriceA Numerical Study on Erosion Model Selection and Effect of
Oct 17 2019 · Various erosion equations and models were developed for different materials and affecting factors. However the predictions of these erosion models in ESPs need to be evaluated to make a proper selection. Comparisons of wear patterns and erosion rates were conducted using the computational fluid dynamics (CFD) software ANSYS.
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