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Online since: March 2019
Authors: Jerzy Gawad, Ilaria Iaconeta, Sai Pavan Bhogireddy, Philippe Hernaut, Aleksandr Lebedev, Gijsbert Wierink, Bruno Charles de Cooman
A Numerical Model for the Prediction of Microstructure Distribution Across the Thickness of Quenched Steel Plates
GAWAD Jerzy1,a*, IACONETA Ilaria1,b, BHOGIREDDY Sai Pavan1,c, HERNAUT Philippe2,d*, LEBEDEV Aleksandr3,e, WIERINK Gijsbert1,f
and DE COOMAN Bruno Charles3,f
1NLMK Group R&D&I, Rue Des Riveaux 2, 7100 La Louvière, Belgium
2NLMK Clabecq SA, Rue de Clabecq 101, 1460, Ittre, Belgium
3NLMK Group R&D, Moscow, Russia
aj.gawad@eu.nlmk.com, bi.iaconeta@eu.nlmk.com, csp.bhogireddy@eu.nlmk.com, dp.hernaut@eu.nlmk.com, elebedev_am@nlmk.com, fg.wierink@eu.nlmk.com
Keywords: plate quenching; material property optimization; inverse analysis; numerical simulation;
Abstract.
In the analyses of the transient simulations, performed by using the commercial software Ansys Mechanical [10], non-linear thermal properties (ρ, cp, K) and moving boundary conditions are considered.
Simulation of Q&T steels, Purdue University, 2001 [3] Xiaohu Deng, Dongying Ju, Modeling and Simulation of Quenching and Tempering Process in steels, Physics Procedia, pp 368-374 (2013) [4] EN10025-6 Technical delivery conditions for flat products of high yield strength structural steels in the quenched and tempered condition
Aronov, CFD and FEA Used to Improve the Quenching Process, Heat Treating Progress, 2008, pp. 50–56
In the analyses of the transient simulations, performed by using the commercial software Ansys Mechanical [10], non-linear thermal properties (ρ, cp, K) and moving boundary conditions are considered.
Simulation of Q&T steels, Purdue University, 2001 [3] Xiaohu Deng, Dongying Ju, Modeling and Simulation of Quenching and Tempering Process in steels, Physics Procedia, pp 368-374 (2013) [4] EN10025-6 Technical delivery conditions for flat products of high yield strength structural steels in the quenched and tempered condition
Aronov, CFD and FEA Used to Improve the Quenching Process, Heat Treating Progress, 2008, pp. 50–56
Online since: April 2010
Authors: Jean Michel Hugo, Emmanuel Brun, Frédéric Topin, Jérôme Vicente
We solve Navier-Stokes equations in the fluid phase and energy
equation in both solid and fluid phases using a commercial CFD software: StarCCM4+ by CDAdapco.
Table 2 presents inertial and viscous parameters calculated from present simulation along with available literature data obtained for similar foam.
However, this local simulation gives us a fair insight of thermal performance for heat exchanger unit design.
Conclusion and Perspectives We predict important parameters relative to foam use in heat exchangers using simulation at pore scale on real topology.
Vicente, et al.: Thermal conductivity of metallic foam: simulation on real x-ray tomographied porous medium and photothermal experiments (in 13TH International Heat Transfer Conference. 2006.
Table 2 presents inertial and viscous parameters calculated from present simulation along with available literature data obtained for similar foam.
However, this local simulation gives us a fair insight of thermal performance for heat exchanger unit design.
Conclusion and Perspectives We predict important parameters relative to foam use in heat exchangers using simulation at pore scale on real topology.
Vicente, et al.: Thermal conductivity of metallic foam: simulation on real x-ray tomographied porous medium and photothermal experiments (in 13TH International Heat Transfer Conference. 2006.
Online since: February 2023
Authors: Long Yi, Yu Liang Li, Hai Bin Lin, Bing Luo, Jian Zheng
Chen, Thermoaeroelastic simulation of supersonic rudder, Computer simulation 2010 27 (3) 43-46
McNamara, Loosely coupled time-marching offluid- thermal -structural interactions with time-accurate CFD,AIAA Conference, SSDMC 2015 [10] Y.B.
McNamara, Loosely coupled time-marching offluid- thermal -structural interactions with time-accurate CFD,AIAA Conference, SSDMC 2015 [10] Y.B.
Online since: July 2011
Authors: Jing Li, Jia Liang Wang, Zhan Tang Miao
Designers are now able to do complex simulations of the proposed systems in order to achieve the best possible solution with computation fluid dynamics (CFD), daylighting, and thermal transfer programs.
The technology is far advanced, but may not be there yet, as Moloney’s claims that the design simulation to achievable construction is complicated by the kinetic requirement [6].
The technology is far advanced, but may not be there yet, as Moloney’s claims that the design simulation to achievable construction is complicated by the kinetic requirement [6].
Online since: May 2018
Authors: Djoko Legono, Ani Hairani, Adam Pamudji Rahardjo
FLUENT simulation result gave good agreement with Darcy-Weisbach formula.
The experiment conducted by Legono, et al. was slightly greater than the simulation results.
FLUENT simulation result gave good agreement with Darcy-Weisbach formula.
Flow simulation in this study was carried out by assuming a steady flow.
[9] Fluent Inc, Fluent Theory Guide, CFD Software Package Fluent Ver. 6.3, Fluent Inc, Lebanon, 2005
The experiment conducted by Legono, et al. was slightly greater than the simulation results.
FLUENT simulation result gave good agreement with Darcy-Weisbach formula.
Flow simulation in this study was carried out by assuming a steady flow.
[9] Fluent Inc, Fluent Theory Guide, CFD Software Package Fluent Ver. 6.3, Fluent Inc, Lebanon, 2005
Online since: April 2016
Authors: Piotr Lacki, Tomasz Walasek, Zygmunt Kucharczyk
A thermo-plastic material model was adopted in a simulation of friction stir welding.
The pin used in this simulation is a straight cylinder.
Shercliff, 3-Dimensional CFD modelling of flow round a threaded friction stir welding tool profile, J.
Chen, The finite element simulation of the friction stir welding process, Mater.
Adamus, Numerical simulation of welding thin titanium sheets, Key Eng.
The pin used in this simulation is a straight cylinder.
Shercliff, 3-Dimensional CFD modelling of flow round a threaded friction stir welding tool profile, J.
Chen, The finite element simulation of the friction stir welding process, Mater.
Adamus, Numerical simulation of welding thin titanium sheets, Key Eng.
Online since: October 2014
Authors: A.F. Abdul Rasid, T.I. Mohamad, M.J. Ghazali, W.M.F. Wan Mahmood
Mechanism design was made in Catia V5R17, the kinematic analysis on determining the valve lift height by the mechanism actuation were made in MSC.Adams and the engine performance simulations were analysed in Lotus Engine Simulation.
It includes mechanism modeling, dimension analysis and engine simulation with chosen engine specifications.
Engine Simulation Test.
Gasoline was selected as fuel in this simulation.
In-cylinder flow analysis of different valve lift using CFD, Scientific Bulletin Faculty of Mechanics and Technology University of Pitesti, Automotive Series. 2, 21 (2010) 1-5
It includes mechanism modeling, dimension analysis and engine simulation with chosen engine specifications.
Engine Simulation Test.
Gasoline was selected as fuel in this simulation.
In-cylinder flow analysis of different valve lift using CFD, Scientific Bulletin Faculty of Mechanics and Technology University of Pitesti, Automotive Series. 2, 21 (2010) 1-5
Online since: January 2013
Authors: Hong Tao Yang, Wei Zhang, Jing Zhang
The establishment of simulation model.
Model building is the basis of the numerical simulation which can be realized by using Gambit of Fluent.
The built simulation calculation model in the design is shown in Fig. 4 (a).
Inlet (a) Simulation calculation model (b) Simulation calculation model grid figure Fig.4 Simulation model figure of flow divider Settings of boundary conditions and the solving method.
Simulation results and analysis The 9 experiments in Table 1 were all simulated and analyzed by using CFD.
Model building is the basis of the numerical simulation which can be realized by using Gambit of Fluent.
The built simulation calculation model in the design is shown in Fig. 4 (a).
Inlet (a) Simulation calculation model (b) Simulation calculation model grid figure Fig.4 Simulation model figure of flow divider Settings of boundary conditions and the solving method.
Simulation results and analysis The 9 experiments in Table 1 were all simulated and analyzed by using CFD.
Online since: February 2015
Authors: João M.P.Q. Delgado, R.M.S.F. Almeida, P. Paula, A. Santos, V.P. de Freitas, N.M.M. Ramos
Table 1 - Climatic regions – simulation inputs.
Figure 9 - Simulation model.
The simulation model was validated using in-situ measurements of air temperature.
Assessment of moisture transfer by numerical simulation, 2007
DesignBuilder Simulation + CFD Training Guide, DesignBuilder Software Ltd., UK
Figure 9 - Simulation model.
The simulation model was validated using in-situ measurements of air temperature.
Assessment of moisture transfer by numerical simulation, 2007
DesignBuilder Simulation + CFD Training Guide, DesignBuilder Software Ltd., UK
Online since: February 2012
Authors: Jing Feng Huang
It is a promising technology which integrates the CAD, CAE and virtual simulation technology.
Years before, due to the inefficiency in converting the data and integrating the information between the ship designing CAD system and the simulation analysis CAE software, it was unable to establish the connected relationship between the geometrical models and simulation analytical models so that the models could not be directly applied in the engineering analysis and calculation, this is called Information Island.
Through the converting and processing of the geometrical model (including the conversion of the model data format, the simplification of the model, the meshing, the process of the model boundary and so on), it is effective to generate the ship product simulation analytical model, perform analysis and calculation in the simulation analytical software and analyze or evaluate the design result, found in the literature [1].So, the 3D design model is set as the main model while the simulation analytical models of other disciplines which are derived from the main model are set as the connected models.
These pack the fundamental task elements that are from the work of product design, modeling, analysis and simulation.
With one example ship designed on the platform, we conducted the preliminary analysis of general performance, realized the integration of tools such as CATIA, FLUENT, NASTRAN etc., built parametric hull form surface and ship structural model, set the data connections among CAD, CAE and CFD and formed the template database of the fixation and accumulation of the knowledge and experience.
Years before, due to the inefficiency in converting the data and integrating the information between the ship designing CAD system and the simulation analysis CAE software, it was unable to establish the connected relationship between the geometrical models and simulation analytical models so that the models could not be directly applied in the engineering analysis and calculation, this is called Information Island.
Through the converting and processing of the geometrical model (including the conversion of the model data format, the simplification of the model, the meshing, the process of the model boundary and so on), it is effective to generate the ship product simulation analytical model, perform analysis and calculation in the simulation analytical software and analyze or evaluate the design result, found in the literature [1].So, the 3D design model is set as the main model while the simulation analytical models of other disciplines which are derived from the main model are set as the connected models.
These pack the fundamental task elements that are from the work of product design, modeling, analysis and simulation.
With one example ship designed on the platform, we conducted the preliminary analysis of general performance, realized the integration of tools such as CATIA, FLUENT, NASTRAN etc., built parametric hull form surface and ship structural model, set the data connections among CAD, CAE and CFD and formed the template database of the fixation and accumulation of the knowledge and experience.