• Title/Summary/Keyword: Batch furnace

Search Result 56, Processing Time 0.022 seconds

Arsenic Removal Mechanism of the Residual Slag Generated after the Mineral Carbonation Process in Aqueous System (광물탄산화 공정 이후 발생하는 잔사슬래그의 수계 내 비소 제거 기작)

  • Kim, Kyeongtae;Latief, Ilham Abdul;Kim, Danu;Kim, Seonhee;Lee, Minhee
    • Economic and Environmental Geology
    • /
    • v.55 no.4
    • /
    • pp.377-388
    • /
    • 2022
  • Laboratory-scale experiments were performed to identify the As removal mechanism of the residual slag generated after the mineral carbonation process. The residual slags were manufactured from the steelmaking slag (blast oxygen furnace slag: BOF) through direct and indirect carbonation process. RDBOF (residual BOF after the direct carbonation) and RIBOF (residual BOF after the indirect carbonation) showed different physicochemical-structural characteristics compared with raw BOF such as chemical-mineralogical properties, the pH level of leachate and forming micropores on the surface of the slag. In batch experiment, 0.1 g of residual slag was added to 10 mL of As-solution (initial concentration: 203.6 mg/L) titrated at various pH levels. The RDBOF showed 99.3% of As removal efficiency at initial pH 1, while it sharply decreased with the increase of initial pH. As the initial pH of solution decreased, the dissolution of carbonate minerals covering the surface was accelerated, increasing the exposed area of Fe-oxide and promoting the adsorption of As-oxyanions on the RDBOF surface. Whereas, the As removal efficiency of RIBOF increased with the increase of initial pH levels, and it reached up to 70% at initial pH 10. Considering the PZC (point of zero charge) of the RIBOF (pH 4.5), it was hardly expected that the electrical adsorption of As-oxyanion on surface of the RIBOF at initial pH of 4-10. Nevertheless it was observed that As-oxyanion was linked to the Fe-oxide on the RIBOF surface by the cation bridge effect of divalent cations such as Ca2+, Mn2+, and Fe2+. The surface of RIBOF became stronger negatively charged, the cation bridge effect was more strictly enforced, and more As can be fixed on the RIBOF surface. However, the Ca-products start to precipitate on the surface at pH 10-11 or higher and they even prevent the surface adsorption of As-oxyanion by Fe-oxide. The TCLP test was performed to evaluate the stability of As fixed on the surface of the residual slag after the batch experiment. Results supported that RDBOF and RIBOF firmly fixed As over the wide pH levels, by considering their As desorption rate of less than 2%. From the results of this study, it was proved that both residual slags can be used as an eco-friendly and low-cost As remover with high As removal efficiency and high stability and they also overcome the pH increase in solution, which is the disadvantage of existing steelmaking slag as an As remover.

Reaction Characteristics of Kaolinite-based Additives and Alkali Salts (Kaolinite 계열의 첨가제와 알칼리염의 반응 특성)

  • Jun, HyunJi;Choi, Yujin;Shun, Dowon;Han, Keun-Hee;Bae, Dal-Hee;Rhee, Young-Woo
    • Clean Technology
    • /
    • v.26 no.3
    • /
    • pp.221-227
    • /
    • 2020
  • When the waste solid fuel (SRF, Bio-SRF) is burnt in a boiler, a problem occurs in the combustion process involving the alkali components (Na, K) contained in large amounts in the fuel. The alkaline component has a low melting point, which usually forms low melting point salt in the temperature of the furnace, with the resulting low melting point salts attaching to the heat pipe to form a clinker. Various additives are used to suppress clinker generation, and the additive based on the kaolinite has alkali-aluminum-silica to inhibit the clinker. In this study, the reactivity of the additives based on the kaolinite was compared. The additives utilized were R-kaolinite, B-kaolinite, and A-kaolinite. Also silica and MgO were sourced as the comparison group. The experimental group was employed as a laboratory-scale batch horizontal reactor. The additive and alkaline salts were reacted at a weight ratio of 1 : 1, and the reaction temperature was performed at 900 ℃ for 10 hours. The first measurement of HCl occurring during the experiment was performed 30 minutes after the detection tube was used, and the process was repeated every hour after the experiment. After the reaction, solid residues were photographed for characterization analysis by means of an optical microscope. The reaction characteristics of the kaolinite were confirmed based on the analysis results.

Removal of Aqueous Cyanide through the Utilization of Industrial By-products (산업부산물(제강 Sludge, 제강 Slag)을 이용한 시안 흡착 제거)

  • 이정원;현재혁;조재범
    • Journal of Korea Soil Environment Society
    • /
    • v.3 no.2
    • /
    • pp.89-99
    • /
    • 1998
  • Sorption of the aqueous cyanide onto steel mill sludge and steel mill slag, both of which are the by-products from the converter furnace, was studied. In the study, the influence of temperature, activation energy, concentration and pH on sorption of cyanide was investigated. Three different temperature($25^{\circ}C$ > $37^{\circ}C$> $50^{\circ}C$) was chosen to represent that of landfill leachate. Initial concentration was 1 mg/$\ell$ 5 mg/$\ell$, 10 mg/$\ell$, and 20 mg/$\ell$. In addition, pH was set to three different level, that is, 3, 7, and 11 respectively. As the result of batch mode experiment for cyanide adsorption, the removal rate was found to be proportional to the initial concentration of cyanide. The order of removal rate was 20 mg/$\ell$> 10 mg/$\ell$> 5 mg/$\ell$> 1 mg/$\ell$. Similarly the influence of pH was proportional because of the change in solubility of cyanide. The order of removal rate was pH 11 > pH 7 > pH 3. As the temperature increased, so did the removal rate. The reaction was endothermic and the value of activation energy(Ea) was 127.93 J/mole and 59.44 J/mole respectively at 1 mg/ιand 20 mg/ιof initial concentration. From the experiment, it can be postulated that the capability of steel mill by-products to attenuate aqueous cyanide is enough to be used as substitute for clay liner of landfill site in the aspect of pollutant removal.

  • PDF

Thermal Characteristics of Waste Organic Sludges Discharged from an Chemical Product Manufacturing Industry (화학제품제조업에서 배출되는 폐 유기성슬러지의 열적 특성)

  • Kim, Min-Choul;Lee, Gang-Woo;Lee, Man-Sig;Shon, Byung-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.9 no.6
    • /
    • pp.1745-1753
    • /
    • 2008
  • We analyzed the physical and chemical properties such as proximate analysis, ultimate analysis, heating values, thermogravimetric analysis, and combustion test for the organic sludge discharged from chemical and petrochemical product manufacturing industries in the industrial complex. The average combustible and ash content of organic sludges from chemical and petrochemical product manufacturing industries were 17.42%, 7.45%, and 18.25%, 4.22%, respectively. The C, H, O, N, and S compositions for chemical and petrochemical product manufacturing industries were 33.06, 4.34, 24.81, 5.18, and 0.72%. And those compositions for petrochemical product manufacturing industries were 36.58, 4.74, 26.79, 5.09, and 0.49%, respectively. From the TGA test, the minimum temperature for combustion of the sludge discharged from B company was $700^{\circ}C$ for direct use for energy and 2 sludges(F and N companies) were about $600^{\circ}C$. According to the basic combustion test, high concentration of CO was formed because oxidation and pyrolysis reaction take place in the batch type reactor at the same time. From this phenomena we could obtain the significant data for the overheating and breakage of furnace.

A Scale-Up Test for Preparation of AlN by Carbon Reduction and Subsequent Nitridation Method (탄소환원질화법에 의한 AlN 제조 규모확대 시험결과)

  • Park, Hyung-Kyu;Kim, Sung-Don;Nam, Chul-Woo;Kim, Dae-Woong;Kang, Moon-Soo;Shin, Gwang-Hee
    • Resources Recycling
    • /
    • v.25 no.5
    • /
    • pp.75-83
    • /
    • 2016
  • AlN powder was prepared by carbon reduction and subsequent nitridation method through the scale-up experiments of 0.7 ~ 1.5 kg per batch. AlN powder was synthesized using the mixture of $Al_2O_3$ powder and carbon black at $1,550{\sim}1,750^{\circ}C$ for 0.5 ~ 4 hours under nitrogen atmosphere (flow rate of nitrogen gas: $10{\sim}40{\ell}/min$) at $2.0{\times}10^{-1}Torr$. Experimental results showed that $1,700{\sim}1,750^{\circ}C$ for the reaction temperature, 3 hr for reaction time, and $40{\ell}/min$ for the flow rate of nitrogen gas were the optimal conditions. Also, in order to remove carbon in the synthesized AlN, the remained carbon was removed at $650{\sim}750^{\circ}C$ for 1 ~ 2 hr using horizontal tube furnace. The results showed that 1 : 3.2 mol ratio of $Al_2O_3$ to carbon black, reaction temperature of $750^{\circ}C$, reaction time of 2 hours, rotating speed of 1.5 rpm under atmosphere condition were the optimal conditions. Under these conditions, high-purity AlN powder over 99% could be prepared: carbon and oxygen contents of the AlN powder were 835 ppm and 0.77%, respectively.

Image Processing System based on Deep Learning for Safety of Heat Treatment Equipment (열처리 장비의 Safety를 위한 딥러닝 기반 영상처리 시스템)

  • Lee, Jeong-Hoon;Lee, Ro-Woon;Hong, Seung-Taek;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.20 no.6
    • /
    • pp.77-83
    • /
    • 2020
  • The heat treatment facility is in a situation where the scope of application of the remote IOT system is expanding due to the harsh environment caused by high heat and long working hours among the root industries. In this heat treatment process environment, the IOT middleware is required to play a pivotal role in interpreting, managing and controlling data information of IoT devices (sensors, etc.). Until now, the system controlled by the heat treatment remotely was operated with the command of the operator's batch system without overall monitoring of the site situation. However, for the safety and precise control of the heat treatment facility, it is necessary to control various sensors and recognize the surrounding work environment. As a solution to this, the heat treatment safety support system presented in this paper proposes a support system that can detect the access of the work manpower to the heat treatment furnace through thermal image detection and operate safely when ordering work from a remote location. In addition, an OPEN CV-based deterioration analysis system using DNN deep learning network was constructed for faster and more accurate recognition than general fixed hot spot monitoring-based thermal image analysis. Through this, we would like to propose a system that can be used universally in the heat treatment environment and support the safety management specialized in the heat treatment industry.