• Title/Summary/Keyword: Model furnace

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A study on the pollutant reduction using catalyst in model furnace (모형소각로의 촉매에 의한 배기가스 정화특성에 관한 연구)

  • Lee, Yong-Hoo;Lee, Jin-Seok;Lee, Hwa-Sin;Kang, In-Gu;Lee, Do-Hyung
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2005.06a
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    • pp.154-159
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    • 2005
  • In proportion to the increase of industrial development, emission troubles were concerned as global issue. For these reasons, so many researchers and associated institutes effort to reduce pollution with new technology and various devices. As a kind of these methods, we used catalysts as a after-treatment system. At first, we made equipment of model furnace. And various catalysts were equipped at exhaust duct of combustion system, and excess air ratio( ), change cell numbers, catalyst materials(Pt, Pd) were changed as experimental conditions. With these various condition, temperature, NOx, CO, HC, $CO_2$ and $O_2$ concentration were measured. As a result, NOx conversion were increased with increasing of cell number in Pd catalyst. And Pt catalyst were became 100% conversion at 200 and 300 cell. Also, Pt catalyst was better than Pd catalyst ${\alpha}$=1.5 in this condition. In addition, CO and HC concentrations were decreased${\alpha}$=1.5 with Pd catalyst.

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On the Improvement of the Combustibility of Waste Plastics used in Blast Furnace

  • Ban, Bong-Chan;Choi, Jin-Shik;Kim, Dong-Su
    • Proceedings of the IEEK Conference
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    • 2001.10a
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    • pp.751-754
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    • 2001
  • A possibility of using waste plastics as a source of secondary fuel in blast furnace has been of recent interest. The success of this process, however, will be critically dependent upon the optimization of operating systems. for instance, the supply of waste plastics must be reliable as well as economically attractive compared with conventional secondary fuels such as heavy oil, natural gas and pulverized coal. In this work, we put special importance on the improvement of the combustibility of waste plastics as a way to enhance energy efficiency in blast furnace. As experimental variables to approach this target, the effects of plastic particle size, blast temperature, and the level of oxygen enrichment were investigated using a custom-made blast model designed to simulate a real furnace. Lastly, the combustion efficiency of the mixture of waste plastics and pulverized coal was tested. The observations made from these experiments led us to the conclusion that with the increase of both blast temperature and the level of oxygen enrichment, and with the decrease of particle size, the combustibility of waste PE could be improved at a given distance from tuyere. Also it was found that the efficiency of coal combustion decreased with the addition of plastics; however, the combustion efficiency of mixture could be comparable at longer distance from tuyere.

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A Numerical Analysis of Heat Transfer in Bright Annealing Furnace of Stainless Steel Strip (Strainless steel strip 광휘어닐링로 내의 열전달 해석)

  • Ryou, H.S.;Jeong, Y.T.;Jang, B.L.
    • Journal of the Korean Society for Heat Treatment
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    • v.22 no.4
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    • pp.228-233
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    • 2009
  • In order to predict the temperature distribution of stainless steel strip in Bright Annealing (BA) furnace, we performed the analysis of heat transfer and fluid flow using STAR-CCM+. The analysis model included unsteady fluid flow, heat transfer with radiation and moving grid. Two kinds of radiative properties, emissivity and reflectivity, were applied to the stainless steel strip, one is constant and the other is variable with time. As we call, the BA furnaces of stainless steel strip have two different types, muffle and no-muffle. The using of muffle type has been faced with some problems such as rising in material price and shortening of life cycle, etc. So the development of no-muffle type BA furnace is very important in order to save energy cost, lower environmental load and increase the productivity. The designed (or expected) temperature of stainless steel strip coming out of BA furnace was about $1065^{\circ}C$ while the environment temperature maintains around $1100^{\circ}C$. The result of our calculation was very close (or similar) to design temperature, and the application of radiative properties variable with time produced more accurate result than applying constant ones.

The Comparative Analysis of Numerical and Experimental Results for Prediction of Workpiece Temperature in the Commercial Reheating Furnace (상용급 재가열로에서 소재 온도 예측을 위한 해석과 실험 결과의 비교 분석)

  • Lee, Chunsik;Lee, Jae Yong;Ryu, BoHyun;Rhim, DongRyul
    • Journal of the Korean Institute of Gas
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    • v.23 no.4
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    • pp.74-79
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    • 2019
  • Specially designed test material was used for workpiece temperature measurement in the commercial reheating furnace and a linearized thermal model was applied for real time temperature prediction. The applied furnace is a walking beam type and specification of the workpiece is a STS302 which is 160mm in width, 160mm in height and 8100mm in length. Also six thermocouples were installed in width, height and length direction for temperature measurement. Ambient temperature in the furnace was raised to 1265 Celsius degrees and it took about 2.5 hours from loading to discharging of the workpiece. As a result of the experiment, temperature of the workpiece at discharge was 1257 Celsius degrees on the average in the range of 1256 to 1259 Celsius degrees, and predicted average temperature through the thermal model was 1251 Celsius degrees. Therefore, the deviation of the analysis and test results is about 6 degrees, which is within the range of 10 degrees required by the industry.

A Chloride Ion Diffusion Model in Blast Furnace Slag Concrete (고로슬래그 미분말 콘크리트의 염화물이온 확산모델)

  • 이석원;박상순;송하원;변근주
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.467-472
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    • 2000
  • It is known that chloride ion in concrete destroys the passive film of reinforcement inside concrete and accelerates corrosion which is the most influencing factor to durability of concrete structures. In this thesis, a chloride ion diffusion model for blast furnace slag(BFS) concrete, which has better resistance to both damage due to salt and chloride ion penetration than ordinary portland cement concrete, is proposed by modifying existing model of normal concrete. Proposed model is verified by comparing diffusion analysis results with both results by indoor chloride penetration test for specimens and field test results for actual RC bridge pier. Also, the optimum resistance condition to chloride penetration is obtained according to degrees of fineness and replacement ratios of BFS concrete. As a result, resistance to chloride ion penetration for BFS concrete is more affected by replacement ratio than degree of fineness.

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Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

  • Shariati, Mahdi;Mafipour, Mohammad Saeed;Mehrabi, Peyman;Ahmadi, Masoud;Wakil, Karzan;Trung, Nguyen Thoi;Toghroli, Ali
    • Smart Structures and Systems
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    • v.25 no.2
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    • pp.183-195
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    • 2020
  • Mineral admixtures have been widely used to produce concrete. Pozzolans have been utilized as partially replacement for Portland cement or blended cement in concrete based on the materials' properties and the concrete's desired effects. Several environmental problems associated with producing cement have led to partial replacement of cement with other pozzolans. Furnace slag and fly ash are two of the pozzolans which can be appropriately used as partial replacements for cement in concrete. However, replacing cement with these materials results in significant changes in the mechanical properties of concrete, more specifically, compressive strength. This paper aims to intelligently predict the compressive strength of concretes incorporating furnace slag and fly ash as partial replacements for cement. For this purpose, a database containing 1030 data sets with nine inputs (concrete mix design and age of concrete) and one output (the compressive strength) was collected. Instead of absolute values of inputs, their proportions were used. A hybrid artificial neural network-genetic algorithm (ANN-GA) was employed as a novel approach to conducting the study. The performance of the ANN-GA model is evaluated by another artificial neural network (ANN), which was developed and tuned via a conventional backpropagation (BP) algorithm. Results showed that not only an ANN-GA model can be developed and appropriately used for the compressive strength prediction of concrete but also it can lead to superior results in comparison with an ANN-BP model.

Comparative Study of Estimation Methods of the Endpoint Temperature in Basic Oxygen Furnace Steelmaking Process with Selection of Input Parameters

  • Park, Tae Chang;Kim, Beom Seok;Kim, Tae Young;Jin, Il Bong;Yeo, Yeong Koo
    • Korean Journal of Metals and Materials
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    • v.56 no.11
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    • pp.813-821
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    • 2018
  • The basic oxygen furnace (BOF) steelmaking process in the steel industry is highly complicated, and subject to variations in raw material composition. During the BOF steelmaking process, it is essential to maintain the carbon content and the endpoint temperature at their set points in the liquid steel. This paper presents intelligent models used to estimate the endpoint temperature in the basic oxygen furnace (BOF) steelmaking process. An artificial neural network (ANN) model and a least-squares support vector machine (LSSVM) model are proposed and their estimation performance compared. The classical partial least-squares (PLS) method was also compared with the others. Results of the estimations using the ANN, LSSVM and PLS models were compared with the operation data, and the root-mean square error (RMSE) for each model was calculated to evaluate estimation performance. The RMSE of the LSSVM model 15.91, which turned out to be the best estimation. RMSE values for the ANN and PLS models were 17.24 and 21.31, respectively, indicating their relative estimation performance. The essential input parameters used in the models can be selected by sensitivity analysis. The RMSE for each model was calculated again after a sequential input selection process was used to remove insignificant input parameters. The RMSE of the LSSVM was then 13.21, which is better than the previous RMSE with all 16 parameters. The results show that LSSVM model using 13 input parameters can be utilized to calculate the required values for oxygen volume and coolant needed to optimally adjust the steel target temperature.

A Transient Modeling of Temperature Variation in a Melting Furnace of a Pyrolysis Melting Incinerator (열분해 용융소각로 내 용융로에서의 온도변화에 대한 과정론적 모델링)

  • Kim, Bong-Keun;Yang, Won;Yu, Tae-U
    • 한국연소학회:학술대회논문집
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    • 2006.04a
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    • pp.167-171
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    • 2006
  • The previous models for thermal behavior in the melting furnace were deterministic, composed of such a form that if the initial input conditions are determined, the results would have been come out by using the basic heat equilibrium equations. But making the experiment by trusting the analysis results, the melted slag is fortuitously set often, because temperature variation of the melted slag in the reaction process is not point function but path function. So in this study, a transient model was developed and verified by comparing with the experimental results.

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Evaluation of Fiber and Blast Furnace Slag Concrete Chloride Penetration through Computer Simulation

  • Kim, Dong-Hun;Petia, Staneva;Lim, Nam-Gi
    • Journal of the Korea Institute of Building Construction
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    • v.11 no.4
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    • pp.379-386
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    • 2011
  • Durability of concrete is an important issue, and one of the most critical aspects affecting durability is chloride diffusivity. Factors such as water.cement ratio, degree of hydration, volume of the aggregates and their particle size distribution have a significant effect on chloride diffusivity in concrete. The use of polypropylene fibers(particularly very fine and well dispersed micro fibers) or mineral additives has been shown to cause a reduction in concrete's permeability. The main objective of this study is to evaluate the manner in which the inclusion of fiber(in terms of volume and size) and blast furnace slag(BFS) (in terms of volume replacement of cement) influence the chloride diffusivity in concrete by applying 3D computer modeling for the composite structure and performing a simulation of the chloride penetration. The modeled parameters, i.e. chloride diffusivity in concrete, are compared to the experimental data obtained in a parallel chloride migration test experiment with the same concrete mixtures. A good agreement of the same order is found between multi.scale microstructure model, and through this chloride diffusivity in concrete was predicted with results similar to those experimentally measured.

Mechanical Properties of Steam Cured High-Strength Steel Fiber-Reinforced Concrete with High-Volume Blast Furnace Slag

  • Yang, Jun-Mo;Yoo, Doo-Yeol;Kim, You-Chan;Yoon, Young-Soo
    • International Journal of Concrete Structures and Materials
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    • v.11 no.2
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    • pp.391-401
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    • 2017
  • In this study, the effects of water-to-binder (W/B) ratio and replacement ratio of blast furnace slag (BFS) on the compressive strength of concrete were first investigated to determine an optimized mixture. Then, using the optimized high-strength concrete (HSC) mixture, hooked steel fibers with various aspect ratios and volume fractions were used as additives and the resulting mechanical properties under compression and flexure were evaluated. Test results indicated that replacement ratios of BFS from 50 to 60% were optimal in maximizing the compressive strength of steam-cured HSCs with various W/B ratios. The use of hooked steel fibers with the aspect ratio of 80 led to better mechanical performance under both compression and flexure than those with the aspect ratio of 65. By increasing the fiber aspect ratio from 65 to 80, the hooked steel fiber volume content could be reduced by 0.25% without any significant deterioration of energy absorption capacity. Lastly, complete material models of steel-fiber-reinforced HSCs were proposed for structural design from Lee's model and the RILEM TC 162-TDF recommendations.