Numerical simulation of temperature field of converter transformer based on electromagnetic-flow-heat coupling field

2018 ◽  
Author(s):  
Mingxing Yu ◽  
Xiumei Tao ◽  
Dandan Shu
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Coupling Field ◽  
Electromagnetic Flow ◽  
Flow Heat

Numerical simulation on sprue distributions during cladding casting process

2016 ◽  
Vol 26 (8) ◽  
pp. 2340-2354 ◽  
Author(s):  
Xing Han ◽  
Haitao Zhang ◽  
Bo Shao ◽  
Dongtao Wang ◽  
Longgang Cheng ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Casting Process ◽  
Mathematic Model ◽  
Melt Flow ◽  
Content Type ◽  
Metallurgical Bonding ◽  
Flow Heat ◽  
Simulation Results ◽  
Interface Bonding Strength

Purpose The purpose of this paper is to investigate the influence of sprue distributions on the flow field and temperature field of the cladding casting process and verify the simulation results by experiments. Design/methodology/approach A steady-state mathematic model for the coupling of fluid flow, heat transfer and solidification to describe the process of cladding casting was present. The effect of sprue distributions on melt flow and temperature field was discussed. Based on the numerical simulation results, the cladding billet was prepared successfully. Moreover, the model has been verified against by temperature measurements during the cladding casting process. Findings There is a good agreement between the measured and calculated results. The homogeneity of melt flow determines the formability of cladding billets and circular temperature difference affects the bonding of the two alloys. The AA4045/AA3003 cladding billet with no defects in size of f140/f110 mm was fabricated successfully. The alloy elements diffused across the interface and formed diffusion layer with a thickness of 15 µm. The interface bonding strength is higher than the tensile strength of AA3003, indicating the metallurgical bonding between two alloys. Research limitations/implications The casting parameters are limited to the aluminum alloy cladding billet in size of f140/f110 mm in this paper. Originality/value There are few reports of cladding billet, which are used to prepare condense pipes of automotive engines. The effect of distribution schemes on the cladding casting process is rarely studied.

Numerical Simulation of Electromagnetic flow, Temperature Field and Flow Field in Laser Molten Pool with Electromagnetic Stirring

2015 ◽  
Vol 42 (2) ◽  
pp. 0202007 ◽  
Author(s):  
王维 Wang Wei ◽  
刘奇 Liu Qi ◽  
杨光钦 Yang Guang ◽  
兰云 Qin Lanyun ◽  
薛雄 Xue Xiong
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Flow Field ◽  
Molten Pool ◽  
Electromagnetic Stirring ◽  
Flow Temperature ◽  
Electromagnetic Flow

Tempering Numerical Simulation Key Technical Research of Auto Windshield

2012 ◽  
Vol 271-272 ◽  
pp. 1155-1159
Author(s):  
Qing Ling Zhang ◽  
Yan Guo Shi ◽  
Bao Jun Yao
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
Finite Element ◽  
Temperature Field ◽  
Stress Testing ◽  
Working Condition ◽  
Coupling Field ◽  
Simulation Results ◽  
Reasonable Model ◽  
Made In

In distribution article, the finite element mathematical model of the auto windshield tempering was established through the reasonable model simplified, with ANSYS as a platform, and the wgl450_R auto windshield products as an example. And through referencing to the actual working condition to set boundary conditions, hot-stress coupling field of tempering was simulated and the regularity of temperature and stress distribution was analysed in temperature field and stress field. Stress testing was made in three groups of glass samples based on the large polarizing, and the measured results and simulation results were compwered. The reliability of numerical simulation was proved, and this has the actual production significance.

Numerical Simulation on Improving NOx Reduction Efficiency of SNCR by Regulating the 3-D Temperature Field in a Furnace

2013 ◽  
Vol 807-809 ◽  
pp. 1505-1513 ◽  
Author(s):  
Amir A.B. Musa ◽  
Xiong Wei Zeng ◽  
Qing Yan Fang ◽  
Huai Chun Zhou
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Removal Efficiency ◽  
Pulverized Coal ◽  
Measuring System ◽  
Optimum Temperature ◽  
Utility Boiler ◽  
Coal Particles ◽  
Injection Zone ◽  
Reduction Efficiency

The optimum temperature within the reagent injection zone is between 900 and 1150°C for the NOX reduction by SNCR (selective non-catalytic reduction) in coal-fired utility boiler furnaces. As the load and the fuel property changes, the temperature within the reagent injection zone will bias from the optimum range, which will reduces significantly the de-NOX efficiency, and consequently the applicability of SNCR technology. An idea to improve the NOX reduction efficiency of SNCR by regulating the 3-D temperature field in a furnace is proposed in this paper. In order to study the new method, Computational fluid dynamics (CFD) model of a 200 MW multi-fuel tangentially fired boiler have been developed using Fluent 6.3.26 to investigate the three-fuel combustion system of coal, blast furnace gas (BFG), and coke oven gas (COG) with an eddy-dissipation model for simulating the gas-phase combustion, and to examine the NOX reduction by SNCR using urea-water solution. The current CFD models have been validated by the experimental data obtained from the boiler for case study. The results show that, with the improved coal and air feed method, average residence time of coal particles increases 0.3s, burnout degree of pulverized coal increases 2%, the average temperature at the furnace nose decreases 61K from 1496K to 1435K, the NO emission at the exit (without SNCR) decreases 58 ppm from 528 to 470 ppm, the SNCR NO removal efficiency increases 10% from 36.1 to 46.1%. The numerical simulation results show that this combustion adjustment method based on 3-D temperature field reconstruction measuring system in a 200 MW multi-fuel tangentially fired utility boiler co-firing pulverized coal with BFG and COG is timely and effective to maintain the temperature of reagent injection zone at optimum temperature range and high NOX removal efficiency of SNCR.

Experimental and numerical investigation of the thermomechanical load on a turbine housing in a radial turbocharger

2021 ◽  
pp. 095440702110521
Author(s):  
Shaolin Chen ◽  
Hong Zhang ◽  
Liaoping Hu ◽  
Guangqing He ◽  
Fen Lei ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Temperature Field ◽  
Fatigue Life ◽  
Simulation Analysis ◽  
Simulation Method ◽  
Testing Temperature ◽  
Experimental Results ◽  
Maximum Temperature ◽  
Monitoring Point ◽  
Turbine Housing

The fatigue life of turbine housing is an important index to measure the reliability of a radial turbocharger. The increase in turbine inlet temperatures in the last few years has resulted in a decrease in the fatigue life of turbine housing. A simulation method and experimental verification are required to predict the life of a turbine housing in the early design and development process precisely. The temperature field distribution of the turbine housing is calculated using the steady-state bidirectional coupled conjugate heat transfer method. Next, the temperature field results are considered as the boundary for calculating the turbine housing temperature and thermomechanical strain, and then, the thermomechanical strain of the turbine housing is determined. Infrared and digital image correlations are used to measure the turbine housing surface temperature and total thermomechanical strain. Compared to the numerical solution, the maximum temperature RMS (Root Mean Square) error of the monitoring point in the monitoring area is only 3.5%; the maximum strain RMS error reached 11%. Experimental results of temperature field test and strain measurement test show that the testing temperature and total strain results are approximately equal to the solution of the numerical simulation. Based on the comparison between the numerical calculation and experimental results, the numerical simulation and test results were found to be in good agreement. The experimental and simulation results of this method can be used as the temperature and strain (stress) boundaries for subsequent thermomechanical fatigue (TMF) simulation analysis of the turbine housing.

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