scholarly journals Heat Transfer Simulation on the Wall of Rotary Cast Iron Smelting Furnace Capacity of 1 ton/hour

2018 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Amir Syam ◽  
Zulfikar Zulfikar ◽  
Muhammad Idris Hutasuhut
Keyword(s):  
Heat Transfer ◽  
Cast Iron ◽  
Temperature Distribution ◽  
Simulation Analysis ◽  
Melting Furnace ◽  
Furnace Wall ◽  
Raw Material ◽  
Smelting Furnace ◽  
Iron Smelting ◽  
Heat Transfer Simulation

<span class="12paswordenglishChar"><span>The rotary smelting furnace is a cast iron smelting furnace with the working principle of raw material rotated in a melting drum. The difficulty of this type of furnace is if the furnace wall is damaged, it will be very difficult to determine the appropriate conduction coefficient material as a replacement material. Numerical simulations are required to obtain the heat transfer information that occurs on the furnace wall. This analysis aims to (1) obtain the temperature distribution occurring in the furnace wall, and (2) obtain the heat transfer coefficient on the wall surface on the inside, center, and outside of the melting furnace. Calculation of numerical simulation in this research is assisted by using Ansys software. The theoretical basis of numerical heat transfer simulation analysis can be determined by using the conduction temperature equation in each node. The load conditions in this case are assumed as thermal loads. The result obtained temperature distribution on the inner wall is 1590 <sup>o</sup>C, middle 1470 <sup>o</sup>C, and outside 1104 <sup>o</sup>C.</span></span>

Cast iron-smelting furnace materials in imperial China: Macro-observation and microscopic study

2017 ◽  
Vol 86 ◽  
pp. 50-59
Author(s):  
Haifeng Liu ◽  
Wei Qian ◽  
Jianli Chen ◽  
Hongli Chen ◽  
Matthew L. Chastain ◽  
...  
Keyword(s):  
Cast Iron ◽  
Microscopic Study ◽  
Smelting Furnace ◽  
Iron Smelting ◽  
Imperial China

Mathematical Model for Heat Transfer Simulation of Rotary Alumina Kiln

2013 ◽  
Vol 423-426 ◽  
pp. 881-884
Author(s):  
Xiao Yan Yang ◽  
You Gang Xiao ◽  
Xian Ming Lei
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Temperature Distribution ◽  
Phase Change ◽  
Heat Loss ◽  
Chemical Reactions ◽  
Outer Shell ◽  
Test Results ◽  
Distribution Rule ◽  
Heat Transfer Simulation

According to kiln structure and material movement features, considering convective, radioactivity, conductivity and various phase change and chemical reactions, a series of comprehensive models are built for quantifying the thermal fluxes from the gas to the material bed and the heat loss from outer shell to the atmosphere in the rotary alumina kiln. The results show that the temperatures of outer shell accord with test results; the temperature distribution rule of gas is the same with that of materials, but the gas temperatures are higher; it is feasible to use the model to improve alumina kiln performance.

Effects of Cooling Air on Performance of Turbine Blade Based on CHT Simulation

2012 ◽  
Vol 184-185 ◽  
pp. 184-187
Author(s):  
Jing Li ◽  
Zhen Xia Liu ◽  
Zhong Ren
Keyword(s):  
Heat Transfer ◽  
Temperature Distribution ◽  
Surface Temperature ◽  
Turbine Blade ◽  
Conjugate Heat Transfer ◽  
Air Cooling ◽  
Work Efficiency ◽  
Surface Temperature Distribution ◽  
Heat Transfer Simulation ◽  
Cooling Air

A numerical model for conjugate heat transfer (CHT) simulation is established for a turbine blade with air cooling, and 3D heat transfer simulation is accomplished. Effects of different amount of cooling air on the surface temperature distribution, work, efficiency of turbine blade is studied. The results show that the surface temperature drops quickly with the increase of cooling air at beginning and then become mild, the blade work goes up, the efficiency goes down.

Numerical Simulation of a Coke Oven

2012 ◽  
Vol 479-481 ◽  
pp. 586-589
Author(s):  
Dan Dan Hao ◽  
Wen Sheng Liu ◽  
Le Ping Dang ◽  
Hong Yuan Wei
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Temperature Distribution ◽  
Heating Rate ◽  
Wall Temperature ◽  
Coke Oven ◽  
Furnace Wall ◽  
Important Approach ◽  
Simulation Results ◽  
Char Structure

At present, the CFD numerical simulation, combined with an experiments involving heat transfer has become an important approach to studying coal carbonization. The aim of this paper is to illustrate how a standard CFD package may be modified so it can be used to simulate temperature distribution, coking time and carbonization processes that occur in coke oven charge. Content of volatile matters and moisture have important influence on heating rate during carbonization. Further, heating rate have effects on char structure an inner coking condition, as well as the carbonization time. In addition, furnace wall temperature have important effects on carbonization, because they can change the coking time. Our simulation results for the coke oven model are in agreement with experimental and virtual data.

Conjugate Heat Transfer Simulation of a Radially Cooled Gas Turbine Vane

2004 ◽  
Author(s):  
Bruno Facchini ◽  
Andrea Magi ◽  
Alberto Scotti Del Greco
Keyword(s):  
Heat Transfer ◽  
Experimental Data ◽  
Temperature Distribution ◽  
Gas Turbine ◽  
Conjugate Heat Transfer ◽  
Circular Cross Section ◽  
External Temperature ◽  
Turbine Vane ◽  
Heat Transfer Simulation ◽  
The Impact

A 3D conjugate heat transfer simulation of a radially cooled gas turbine vane has been performed using STAR-CD™ code and the metal temperature distribution of the blade has been obtained. The study focused on the linear NASA-C3X cascade, for which experimental data are available; the blade is internally cooled by air through ten radially oriented circular cross section channels. According to the chosen approach, boundary conditions for the conjugate analysis were specified only at the inlet and outlet planes and on the openings of the internal cooling channels: neither temperature distribution nor heat flux profile were assigned along the walls. Static pressure, external temperature and heat transfer coefficient distributions along the vane were compared with experimental data. In addition, in order to asses the impact of transition on heat transfer profile, just the external flow (supposed fully turbulent in the conjugate approach) was separately simulated with TRAF code too and the behaviour of the transitional boundary layer has been analyzed and discussed. Loading distributions were found to be in good agreement with experiments for both conjugate and non conjugate approaches, but, since both pressure and suction side exhibit a typical transitional behavior, HTC profiles obtained without taking into account transition severely overestimate experimental data especially near the leading edge. Results confirm the significant role of transition in predicting heat transfer and, therefore, vane temperature field when a conjugate analysis is performed.

scholarly journals Development of Probability Concept for Thermal Fatigue Life Cycle Prediction

2020 ◽  
Vol 9 (3S) ◽  
pp. 57-60
Keyword(s):  
Life Cycle ◽  
Induction Furnace ◽  
Electrical Power ◽  
Melting Furnace ◽  
Furnace Wall ◽  
Raw Material ◽  
Induction Melting ◽  
Minor Variation ◽  
Refractory Wall ◽  
Probability Concept

Furnaces are most commonly used for melting of Ferrous Metals and its alloy materials. Induction furnaces use Electrical Power so that they are more advantageous as no fuel is required. It is a very critical problem to find life span of Induction Melting Furnace Wall under thermal load variation. The life cycle of induction furnace refractory wall is a variable as minor variation is always present due to effect of skill of workers and many other factors. The life cycle of furnace wall will vary minor with some miscellaneous factors and cannot be justified as a single value always. The probability concept is utilized here in the forecast of life cycle calculation to justify the miscellaneous factors effected for the damage of the induction furnace refractory wall. The probability concept initially defines a minimum life of induction furnace wall for a certain case then it is assumed to vary with different probability as given below. So, all the cases of induction furnace wall are having minimum life always but some cases of induction furnace wall are having much longer life. It is due to effect from many miscellaneous factors like skills of workers, efficiency of workers, raw material quality used for construction of wall, tools applied for ramming of it, row material employed for melting, etc.

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