Academic literature on the topic 'Industrial Furnace'

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Journal articles on the topic "Industrial Furnace"

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Niu, Hongya, Wenjing Cheng, Wei Pian, and Wei Hu. "The physiochemical properties of submicron particles from emissions of industrial furnace." World Journal of Engineering 13, no. 3 (June 13, 2016): 218–24. http://dx.doi.org/10.1108/wje-06-2016-029.

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Purpose Smoke and dust emissions from industrial furnaces can do great harm to the environment and human health. This paper aims to analyze the morphology, diameter and elements of the submicron particles from the furnace flues and the nearby ambient air by using two typical industrial furnaces, the sintering furnace and the electric furnace. Design/Methodology/Approach Two typical industrial furnaces, the sintering furnace and the electric furnace, were chosen in this study, to analyze the morphology, diameter and elements of the submicron particles from the furnace flues and the near-by ambient air. Findings The results show that the particles from the two furnaces are mainly in the small sizes of 0.3-0.6 μm. Particles from sintering plant flue are mainly spherical and rich in K and Cl, whereas those from the electric plant flue are mainly particles rich in metal elements, such as Zn and Fe, and have different morphology. Originality/value The particles in the atmosphere nearby the two furnaces contain aged particles from the flue, lots of spherical particles, rectangle particles and various aggregations. The elements of those particles are complex.
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Aranburu, Iñigo, Bakartxo Egilegor, Iñigo Bonilla, Jaio Manzanedo, and Haizea Gaztañaga. "Modelica model of industrial gas furnaces." E3S Web of Conferences 116 (2019): 00003. http://dx.doi.org/10.1051/e3sconf/201911600003.

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Modelica models for the prediction of the temperature of the load inside a walking basket type reheat furnace of the aluminium industry have been developed. The loads move through the furnace with discrete movements. Several library components have been developed using the Modelica Standard Fluid Library. In order to validate them a full 1D furnace simulation model has been built. It allows calculating the heat transfer through walls, the temperature and the composition of combustion gases, the temperature of the aluminium products, as well as the fumes flow and the pressure drops. The library provides the necessary resources for modelling this type of furnaces flexibly and quickly. The objective of the work is to validate Modelica as analyse tool for evaluating the different possibilities of heat recovery in this kind on furnaces.
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Qu, Na, and Wen You. "Design and fault diagnosis of DCS sintering furnace’s temperature control system for edge computing." PLOS ONE 16, no. 7 (July 6, 2021): e0253246. http://dx.doi.org/10.1371/journal.pone.0253246.

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Under the background of modern industrial processing and production, the sintering furnace’s temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace’s faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace’s traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.
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Shustrov, N. N., V. G. Puzach, and S. A. Bezenkov. "The effect of the conductive walls of the cooking furnace of an electric furnace on the distribution of energy flows." NOVYE OGNEUPORY (NEW REFRACTORIES), no. 4 (September 16, 2020): 13–18. http://dx.doi.org/10.17073/1683-4518-2020-4-13-18.

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A method for modeling the electric glass melting process, which allows obtaining information about the unity of electric and thermal processes in the glass mass in an electric glass melting furnace has been developed. The furnace’s cooking pool is made of conductive chromoxide. The work was carried out using modeling on the EGDA integrator, as a result of which two versions of experimental electric furnaces with different directions of power lines and a pilot industrial furnace with a capacity of 7 tons per day for melting E glass, widely used in the manufacture of fiberglass, were built.
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Stojanovski, Goran, and Mile Stankovski. "Comparison of Predictive Control Methods for High Consumption Industrial Furnace." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/279042.

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We describe several predictive control approaches for high consumption industrial furnace control. These furnaces are major consumers in production industries, and reducing their fuel consumption and optimizing the quality of the products is one of the most important engineer tasks. In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. On the basis of the analysis, some important conclusions have been drawn.
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Soares, Roberto Arruda Lima, and J. R. de S. Castro. "Comparison of Firing of the a Mass for Ceramic Tiles in Laboratory and Industrial Furnace." Materials Science Forum 805 (September 2014): 547–52. http://dx.doi.org/10.4028/www.scientific.net/msf.805.547.

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The present study aims to examine the differences obtained in the technological properties of a ceramic formulation for tile after firing in two different environments, laboratory furnace and industrial furnace. For this, the ceramic formulation used in the production of semi-porous ceramic tile was characterized. Chemical, mineralogical and thermal analyses in the ceramic formulation were performed. The specimens were obtained by compacting and fired at maximum temperature of 1140 o C in laboratory and industrial furnaces. The technological tests performed were linear shrinkage, water absorption, bulk density and mechanical strength. Microstructure was assessed through X-ray diffraction analysis and scanning electron microscopy. The results showed that the different furnaces provided significant differences in the specimens analyzed such as higher mechanical strength and lower water absorption in samples fired in laboratory furnace, for example.
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Gao, Zhu, Xiao Min Ji, and Chun Qiang Zhang. "Dynamic Display of Industrial Furnace Products Based on the Technology of Virtual Reality." Advanced Materials Research 381 (November 2011): 99–103. http://dx.doi.org/10.4028/www.scientific.net/amr.381.99.

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Taking some type of steelmaking electric arc furnace for example, this paper, by using 3DS MAX, conducts a dynamic simulation of such industrial furnaces based on 3D modeling of SolidWorks and realizes the virtual, dynamic and interactive demonstration of industrial furnaces combining with the virtual reality technology of WebMax.
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Feng, Ran Bao, You Wen Chen, and Jian Min Gao. "Index Optimization and Integrated Loop Control of Heating Furnaces Based on Modern Control Theory." Applied Mechanics and Materials 533 (February 2014): 289–93. http://dx.doi.org/10.4028/www.scientific.net/amm.533.289.

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The furnace temperature control plays an important role in the rolling process, it affects the quality of steel and energy consumption directly. It is clear that furnace temperature change is multivariable, nonlinear, coupling, great inertia and pure lag and the complex industrial process of furnace control should be optimized. In this paper, a intelligent temperature control system was designed which has a two-layer structure includes optimizing and controlling. The control system is successfully applied to a steel company in medium plate product processes, and achieved good effects. The controllability can be applied to similar industrial furnaces, and has a wide application prospect.
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Zeng, Ying, Claus Erik Weinell, Kim Dam-Johansen, Louise Ring, and Søren Kiil. "Comparison of an industrial- and a laboratory-scale furnace for analysis of hydrocarbon intumescent coating performance." Journal of Fire Sciences 38, no. 3 (April 13, 2020): 309–29. http://dx.doi.org/10.1177/0734904120902852.

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Due to increasing demands for fire protection in high-risk environments, such as petrochemical processes and offshore platforms, so-called hydrocarbon intumescent coatings are increasingly used to protect structural steel in the event of a hydrocarbon fire. For these coatings, the fire-resistance performance is typically evaluated in a series of costly experiments with industrial-scale (i.e. 1–10 m3) furnaces, programmed to follow a standard hydrocarbon fire test curve. In this work, we propose a laboratory-scale furnace for coating evaluation, which can simulate the conditions of a typical hydrocarbon fire curve, that is, the standard UL 1709. In a case study with five hydrocarbon intumescent coating formulations, the correlation between the laboratory- and the industrial-scale furnace was investigated and a good agreement was found for the temperature progression of the coated steel plates. The physical and chemical properties of the intumescent coating chars were also similar for the two furnaces. In summary, the low-cost, time-efficient laboratory-scale furnace can provide reliable screening of hydrocarbon intumescent coatings and is recommended as a complementary tool for industrial fire tests.
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Dzurňák, Róbert, Augustin Varga, Gustáv Jablonský, Miroslav Variny, Réne Atyafi, Ladislav Lukáč, Marcel Pástor, and Ján Kizek. "Influence of Air Infiltration on Combustion Process Changes in a Rotary Tilting Furnace." Processes 8, no. 10 (October 15, 2020): 1292. http://dx.doi.org/10.3390/pr8101292.

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Air infiltration into the combustion chambers of industrial furnaces is an unwanted phenomenon causing loss of thermal efficiency, fuel consumption increase, and the subsequent increase in operating costs. In this study, a novel design for a rotary tilting furnace door with improved construction features is proposed and tested experimentally in a laboratory-scale furnace, aimed at air infiltration rate reduction by decreasing the gap width between the static furnace door and the rotating body. Temperatures in the combustion chamber and oxygen content in the dry flue gas were measured to document changes in the combustion process with the varying gap width. Volumetric flow values of infiltrating air calculated based on measured data agree well with results of numerical simulations performed in ANSYS and with the reference calculation procedure used in relevant literature. An achievable air infiltration reduction of up to 50% translates into fuel savings of around 1.79 to 12% of total natural gas consumption of the laboratory-scale furnace. The average natural gas consumption increase of around 1.6% due to air infiltration into industrial-scale furnaces can thus likewise be halved, representing fuel savings of almost 0.3 m3 per ton of charge.
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Dissertations / Theses on the topic "Industrial Furnace"

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Ellul, Connie. "Flameless Combustion for Industrial Furnace Heaters." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505069.

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Carlborg, Hampus, and Henrik Iredahl. "Modeling and Temperature Control of an Industrial Furnace." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129617.

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A linear model of an annealing furnace is developed using a black-box system identification approach, and used when testing three different control strategies to improve temperature control. The purpose of the investigation was to see if it was possible to improve the temperature control while at the same time  decrease the switching frequency of the  burners. This will lead to a more efficient process as well as less maintenance, which has both economic and environmental benefits. The estimated model has been used to simulate the furnace with both the existing controller and possible new controllers such as a split range controller and a model predictive controller (MPC). A split range controller is a control strategy which can be used when more than one control signal affect the output signal, and the control signals have different range. The main advantage with MPC is that it can take limitations and constraints into account for the controlled process, and with the use of integer programming, explicitly account for the discrete switching behavior of the burners. In simulation both new controllers succeed in decreasing the switching and the MPC also improved the temperature control. This suggest that the control of the furnace can be improved by implementing one of the evaluated controllers.
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Hixson, Scott. "Rapid industrial furnace thermal modeling for improved fuel efficiency." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5091.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 9, 2009) Includes bibliographical references.
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Middleton, Kenneth George. "The failure of graphite arc-furnace electrodes." Thesis, Durham University, 1985. http://etheses.dur.ac.uk/7050/.

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Graphite electrodes used in steelmaking are joined together by threaded, tapered connectors (nipples) of similar material. The jointed regions are subjected to arduous thermal and mechanical stresses during use. Mechanical stresses arise from electrode self-weight and tightening torque, and the thermal stresses from the high furnace operating temperatures which ensure a high radiative surface cooling rate as the electrode is removed from the furnace. This thermal shock effect is thought to contribute to particular types of electrode failure. In this computer-aided analysis of the stresses induced by the above effects, a commercial finite element program is used in conjunction with a purpose-written finite difference program. Mechanical loads due to electrode self-weight and pretightening torque are evaluated and applied with suitable restraints to an axisymmetric finite element mesh, to obtain a mechanical stress analysis. The finite difference program is then used to calculate the time-variant temperature field experienced by an electrode on being removed from the furnace. An interpolation program is used to assign temperatures at the nodes of the same finite element mesh, the thermal stresses then being evaluated by the commercial finite element program. A 'failure envelope' analysis of the results identifies the critically-stressed regions of the joint and shows that in some such areas the thermal-shock stresses act to relieve the mechanically-induced stresses. A statistical analysis based on Weibull theory predicts a high incidence of crack formation due to thermal stresses. Finally, consideration is given to the effect of thermal orthotropy and temperature-dependent material properties.
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Correia, Sara Alexandra Chanoca. "Development of improved mathematical models for the design and control of gas-fired furnaces." Thesis, University of South Wales, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369080.

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Blanden, Zachary F. "Process development for high powered amplifier Au/Sn eutectic die attach via vacuum furnace." Thesis, State University of New York at Binghamton, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10250174.

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This research was conducted to develop and qualify a vacuum GaAs semiconductor monolithic microwave integrated circuit die attach process. Research was done to understand the causes and effects of voiding levels on device performance and reliability. Simultaneous investigation was done to qualify vacuum-attach as a successful methodology by which minimal voiding levels were achieved. After an initial vacuum-attach trial was completed to verify the methodology, internal accept/reject criteria were developed to qualify die attach interfaces. A dual phase attachment methodology was created to minimize tolerance stacking resulting in more consistent component placement. MATLAB image processing code was developed to quantify the voiding levels against the accept/reject criteria. Statistical methodologies were employed to troubleshoot root causes for special cause variation of initial attachment failures. A design of experiment was conducted testing three factors each at two levels (process gas [Gas A, Gas B], leaking chamber [yes, no], and carrier supplier [Supplier A, Supplier B]). The DOE identified process gas and its interaction with the carrier supplier to be significant. Further investigation of the carriers identified plating contamination, resulting in the process gas the primary factor of interest. A secondary experiment focusing on process gas identified no statistical difference between Gas A? and Gas B (Gas A? indicating a high purity form of Gas A). With this information, Gas A? was selected as the process gas. A total of 56 attachment interfaces were then produced yielding 0.7485% voiding, on average, following a Weibull distribution (?= 1.04171, ? = 0.75967) with zero rejections. The process?s consistency of minimal voiding levels were deemed a success and the process was released to production.

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Hougen, Krysta E. "Long-term Effects of Industrial History on the Forest Flora of Southeastern Ohio." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1237857409.

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Borges, Cláudio Neves. "Modelagem matemática do processo industrial de coqueamento retardado." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-29062016-162519/.

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A unidade de coqueamento retardado é um processo térmico de conversão, utilizado pelas refinarias, para converter cargas residuais em produtos de baixo peso molecular e com alto valor agregado (gases, nafta e gasóleo) e coque verde de petróleo. Um pequeno aumento no rendimento líquido da unidade de coqueamento retardado proporciona benefícios económicos consideráveis, especialmente no destilado líquido. A concorrência no mercado, as restrições sobre as especificações do produto e gargalos operacionais exigem um melhor planejamento da produção. Portanto, o desenvolvimento de novas estratégias e modelos matemáticos, focados em melhores condições de operação do processo industrial e formulações de produtos, é essencial para alcançar melhores rendimentos e um acompanhamento mais preciso da qualidade do produto. Este trabalho tem como objetivo o desenvolvimento de modelo matemático do conjunto forno-reator do processo de coqueamento, a partir de informações obtidas em uma planta industrial. O modelo proposto é baseado na caracterização da carga e dos produtos em pseudocomponentes, modelos cinéticos de grupos e condições de equilíbrio liquido-vapor. Além disso, são discutidos os principais desafios para o desenvolver o modelo matemático do forno e do reator, bem como a caracterização rigorosa do resíduo de vácuo e dos produtos para determinar os parâmetros que afetam a morfologia do coque e a zona de reação no interior do reator de coque.
The delayed coke unit is a thermal conversion process, used by the crude oil refineries, to convert residual feedstocks into products of low molecular weight and high aggregated value (gases, naphtha and gasoil) and green coke. A small increase in the net yield in the delayed coke unit results in considerable economic benefits, particularly in the liquid distillates. The market competition, the restrictions on the product specifications and the operational bottlenecks require a better production planning. Therefore, the development of new strategies and mathematical models, focused in better industrial process operating conditions and product formulations, is essential to achieve better yields and a more precise product quality monitoring. The objective of this work is the development of a furnace-reactor mathematical model of the delayed coke process based on industrial plant information. The proposed model is based on the feed and product characterization as pseudo components, group kinetical models and liquid-vapor equilibrium. Furthermore, the main challenges to develop the furnace and reactor mathematical model are discussed, as well as the vacuum residual and the coke unit products rigorous characterization to determine the parameters that impact the coke morphology and the reaction zone inside the coke reactor.
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Stadler, Johan George. "Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71631.

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Thesis (MScEng)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: In a minerals processing environment, stable production processes, cost minimisation and energy efficiency are key to operational excellence, safety and profitability. At an ilmenite smelter, typically found in the heavy minerals industry, it is no different. Management of an ilmenite smelting process is a complex, multi-variable challenge with high costs and safety risks at stake. A by-product of ilmenite smelting is superheated carbon monoxide (CO) gas, or furnace off-gas. This gas is inflammable and extremely poisonous to humans. At the same time the gas is a potential energy source for various on-site heating applications. Re-using furnace off-gas can increase the energy efficiency of the energy intensive smelting process and can save on the cost of procuring other gas for heating purposes. In this research project, the management of CO gas from the Tronox KZN Sands ilmenite smelter in South Africa was studied with the aim of optimising the current utilisation of the gas. In the absence of any buffer capacity in the form of a pressure vessel, the stability of the available CO gas is directly dependent on the stability of the furnaces. The CO gas has been identified as a partial replacement for methane gas which is currently purchased for drying and heating of feed material and pre-heating of certain smelter equipment. With no buffer capacity between the furnaces and the gas consuming plants, a dynamic prioritisation approach had to be found if the CO was to replace the methane. The dynamics of this supply-demand problem, which has been termed the “CO gas problem”, needed to be studied. A discrete-event simulation model was developed to match the variable supply of CO gas to the variable demand for gas over time – the demand being a function of the availability of the plants requesting the gas, and the feed rates and types of feed material processed at those plants. The problem was formulated as a multi-objective optimisation problem with the two main, conflicting objectives, identified as: 1) the average production time lost per plant per day due to CO-methane switchovers; and 2) the average monthly saving on methane gas costs due to lower consumption thereof. A metaheuristic, namely multi-objective optimisation using the cross-entropy method, or MOO CEM, was applied as optimisation algorithm to solve the CO gas problem. The performance of the MOO CEM algorithm was compared with that of a recognised benchmark algorithm for multi-objective optimisation, the NSGA II, when both were applied to the CO gas problem. The background of multi-objective optimisation, metaheuristics and the usage of furnace off-gas, particularly CO gas, were investigated in the literature review. The simulation model was then developed and the optimisation algorithm applied. The research aimed to comment on the merit of the MOO CEM algorithm for solving the dynamic, stochastic CO gas problem and on the algorithm’s performance compared to the benchmark algorithm. The results served as a basis for recommendations to Tronox KZN Sands in order to implement a project to optimise usage and management of the CO gas.
AFRIKAANSE OPSOMMING: In mineraalprosessering is stabiele produksieprosesse, kostebeperking en energie-effektiwiteit sleuteldrywers tot bedryfsprestasie, veiligheid en wins. ‘n Ilmenietsmelter, tipies aangetref in swaarmineraleprosessering, is geen uitsondering nie. Die bestuur van ‘n ilmenietsmelter is ‘n komplekse, multi-doelwit uitdaging waar hoë kostes en veiligheidsrisiko’s ter sprake is. ‘n Neweproduk van die ilmenietsmeltproses is superverhitte koolstofmonoksiedgas (CO gas). Hierdie gas is ontvlambaar en uiters giftig vir die mens. Terselfdertyd kan hierdie gas benut word as energiebron vir allerlei verhittingstoepassings. Die herbenutting van CO gas vanaf die smelter kan die energie-effektiwiteit van die energie-intensiewe smeltproses verhoog en kan verder kostes bespaar op die aankoop van ‘n ander gas vir verhittingsdoeleindes. In hierdie navorsingsprojek is die bestuur van die CO gasstroom wat deur die ilmenietsmelter van Tronox KZN Sands in Suid-Afrika geproduseer word, ondersoek met die doel om die huidige benuttingsvlak daarvan te verbeter. Weens die afwesigheid van enige bufferkapasiteit in die vorm van ‘n drukbestande tenk, is die stabiliteit van CO gas beskikbaar vir hergebruik direk afhanklik van die stabiliteit van die twee hoogoonde wat die gas produseer. Die CO gas kan gedeeltelik metaangas, wat tans aangekoop word vir die droog en verhitting van voermateriaal en vir die voorverhitting van sekere smeltertoerusting, vervang. Met geen bufferkapasiteit tussen die hoogoonde en die aanlegte waar die gas verbruik word nie, was die ondersoek van ‘n dinamiese prioritiseringsbenadering nodig om te kon vasstel of die CO die metaangas kon vervang. Die dinamika van hierdie vraag-aanbod probleem, getiteld die “CO gasprobleem”, moes bestudeer word. ‘n Diskrete-element simulasiemodel is ontwikkel as probleemoplossingshulpmiddel om die vraag-aanbodproses te modelleer en die prioritiseringsbenadering te ondersoek. Die doel van die model was om oor tyd die veranderlike hoeveelhede van geproduseerde CO teenoor die veranderlike gasaanvraag te vergelyk. Die vlak van gasaanvraag is afhanklik van die beskikbaarheidsvlak van die aanlegte waar die gas verbruik word, sowel as die voertempo’s en tipes voermateriaal in laasgenoemde aanlegte. Die probleem is geformuleer as ‘n multi-doelwit optimeringsprobleem met twee hoof, teenstrydige doelwitte: 1) die gemiddelde verlies aan produksietyd per aanleg per dag weens oorgeskakelings tussen CO en metaangas; 2) die gemiddelde maandelikse besparing op metaangaskoste weens laer verbruik van dié gas. ‘n Metaheuristiek, genaamd MOO CEM (multi-objective optimisation using the cross-entropy method), is ingespan as optimeringsalgoritme om die CO gasprobleem op te los. Die prestasie van die MOO CEM algoritme is vergelyk met dié van ‘n algemeen aanvaarde riglynalgoritme, die NSGA II, met beide toepas op die CO gasprobleem. The agtergrond van multi-doelwit optimering, metaheuristieke en die benutting van hoogoond af-gas, spesifiek CO gas, is ondersoek in die literatuurstudie. Die simulasiemodel is daarna ontwikkel en die optimeringsalgoritme is toegepas.
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Suopajärvi, H. (Hannu). "Bioreducer use in blast furnace ironmaking in Finland:techno-economic assessment and CO₂ emission reduction potential." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207063.

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Abstract Most of the steel produced in the world is based on the integrated blast furnace-converter route, which is based on the use of virgin raw materials. Large amounts of fossil-based, carbon containing reductants are used in blast furnaces, which results in carbon dioxide emissions into the atmosphere. Fossil carbon dioxide emissions from steel production can be reduced by new technologies or moving from non-renewable to renewable energy sources. Biomass-based reductants could be one way to reduce the specific emissions from blast furnace-based steel production. The aim of this thesis was to examine the techno-economic and CO₂ mitigation potentials of using bioreducers in blast furnace ironmaking. Bioreducer feasibility was analyzed in the Finnish context, but the research methods used can be applied more widely. The metallurgical properties of bioreducers were evaluated and compared to fossil-based reductants. The impact of bioreducers on blast furnace behavior and on other steel plant processes was evaluated, with an emphasis on the reductions achieved in CO₂ emissions at the plant scale. The CO₂ emissions, energy consumption and production costs of bioreducers were evaluated, as was the availability of energy wood for bioreducer production. The results show that solid, liquid and gaseous bioreducers can be produced with thermochemical conversion technologies. However, their suitability for blast furnace use varies greatly. The highest substitution of fossil-based reductants in a blast furnace is achieved with charcoal injection. The carbon footprint of torrefied wood, charcoal and Bio-SNG is moderate compared to fossil-based reducing agents and their production is energetically feasible. The economic feasibility of bioreducers is currently weak in comparison to fossil-based reducing agents, but competitive when compared to other CO₂ emission reduction measures such as carbon capture and storage. The biomass availability assessment revealed that sufficient amount of energy wood could be available for bioreducer production in the areas where Finnish steel plants are situated. The feasibility of bioreducer production could be improved by producing a number of products from the biomass and taking advantage of the process of integration possibilities
Tiivistelmä Suurin osa maailmassa tuotetusta teräksestä valmistetaan integroidulla masuuni-konvertteri reitillä, joka perustuu neitseellisten raaka-aineiden käyttöön. Masuuniprosessissa käytetään suuri määrä fossiilisia, lähinnä hiilipohjaisia pelkistimiä, jotka aiheuttavat hiilidioksidipäästöjä ilmakehään. Fossiilisia hiilidioksidipäästöjä voidaan teräksenvalmistuksessa vähentää uusilla teknologioilla tai siirtymällä uusiutumattomista energialähteistä uusiutuviin. Biomassasta valmistetut pelkistimet voisivat olla yksi mahdollinen keino alentaa masuunipohjaisen teräksenvalmistuksen ominaispäästöjä. Tämän työn tavoitteena oli tarkastella biopelkistimien käytön teknistaloudellista potentiaalia masuunikäytössä ja aikaansaatavia hiilidioksidipäästövähenemiä eri systeemirajauksilla. Työssä keskityttiin tarkastelemaan biopelkistimien hyödynnettävyyttä lähinnä Suomen tasolla, vaikka käytetyt tutkimusmetodit ovat sovellettavissa myös laajemmin. Työssä arvioitiin biopelkistimien metallurgisia ominaisuuksia, niiden vaikutusta masuuniprosessiin ja laajemmin muihin terästehtaan prosesseihin, pääpainon ollessa saavutettavan CO₂ päästövähenemän tarkastelussa. Työssä tarkasteltiin biopelkistimien valmistuksen CO₂ päästöjä, energiankulutusta ja tuotantokustannuksia sekä energiapuun saatavuutta biopelkistimien tuotantoon. Tulokset osoittavat, että biomassasta voidaan valmistaa kiinteitä, nestemäisiä ja kaasumaisia pelkistimiä termokemiallisilla konversioteknologioilla, joiden soveltuvuus masuunikäyttöön vaihtelee suuresti. Masuuniprosessissa suurin fossiilisten pelkistimien korvaavuus saavutetaan käyttämällä puuhiili-injektiota. Torrefioidun puun, puuhiilen ja Bio-SNG:n hiilijalanjälki on varsin maltillinen verrattuna fossiilisiin pelkistimiin ja niiden tuotanto on energeettisesti järkevää. Biopelkistimien taloudellinen kannattavuus verrattuna fossiilisiin pelkistimiin on tällä hetkellä heikko, mutta kilpailukykyinen verrattuna muihin CO₂ päästöjen vähennyskeinoihin, kuten hiilidioksidin talteenottoon ja -varastointiin. Energiapuun saatavuus biopelkistimien valmistukseen on suurin alueilla, jotka sijaitsevat lähellä Suomen terästehtaita. Biopelkistimien tuotannon kannattavuutta voitaisiin parantaa tuottamalla useita tuotteita ja hyödyntämällä prosessi-integraatiota
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Books on the topic "Industrial Furnace"

1

Brandes, Janet L. Industrial furnaces, kilns, and ovens. Cleveland Heights, OH: Leading Edge Reports, 1989.

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Cranstone, David. Derwentcote steel furnace: An industrial monument in County Durham. Lancaster: Lancaster University Archaeological Unit, 1997.

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Nick, Honerkamp, and Will M. Elizabeth 1952-, eds. Industry and technology in antebellum Tennessee: The archaeology of Bluff Furnace. Knoxville: University of Tennessee Press, 1992.

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Jackson, George E. Cumberland Furnace: A frontier industrial village : a story of the first ironworks on the western highland rim. Virginia Beach, VA: Donning Co., 1994.

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Sloss Furnaces and the rise of the Birmingham district: An industrial epic. Tuscaloosa: University of Alabama Press, 1994.

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Reményi, Károly. Industrial firing. Budapest: Akadémiai Kiadó, 1987.

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Bernd, Becher. Blast furnaces. Cambridge, Mass: MIT Press, 1990.

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Barrie, Jenkins, and ScienceDirect (Online service), eds. Industrial and process furnaces: Principles, design and operation. Amsterdam: Butterworth-Heinemann, 2008.

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Mullinger, Peter. Industrial and process furnaces: Principles, design and operation. Amsterdam: Butterworth-Heinemann, 2008.

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Industrial combustion testing. Boca Raton: Taylor & Francis, 2011.

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Book chapters on the topic "Industrial Furnace"

1

Mbiock, Aristide, and Roman Weber. "Application to Industrial Furnace." In Radiation in Enclosures, 159–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57094-0_8.

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Mahanta, Bashista Kumar, and Nirupam Chakraboti. "Evolutionary Computation in Blast Furnace Iron Making." In Management and Industrial Engineering, 211–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01641-8_8.

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Saxén, Henrik, and Leif Lassus. "Pattern Recognition for Blast Furnace Temperature Classification." In Industrial Applications of Soft Computing, 79–91. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1822-2_6.

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Kumar, Arun, Ashish Agrawal, and Ashok Kumar. "Blast Furnace Health Index Based on Historical Data." In Lecture Notes on Multidisciplinary Industrial Engineering, 415–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6017-0_27.

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Martineau, S., E. Gaura, K. J. Burnham, and O. C. L. Haas. "Neural Network Control Approach for an Industrial Furnace." In Artificial Neural Nets and Genetic Algorithms, 121–25. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0646-4_23.

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Santos, Daniel, Luís Rato, Teresa Gonçalves, Miguel Barão, Sérgio Costa, Isabel Malico, and Paulo Canhoto. "Composite SVR Based Modelling of an Industrial Furnace." In Modelling and Development of Intelligent Systems, 158–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39237-6_11.

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McNamara, Pamela, John D. Cashion, and Mary S. J. Gani. "Slag Attack of Firebrick in a Tin Smelting Furnace." In Industrial Applications of the Mössbauer Effect, 467–77. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-1827-9_24.

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Mahanta, Bashista Kumar, Rajesh Jha, and Nirupam Chakraborti. "Data-Driven Optimization of Blast Furnace Iron Making Process Using Evolutionary Deep Learning." In Management and Industrial Engineering, 47–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75847-9_3.

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Pu, Cuiping, Jie Ren, and Bin Xue. "Research on Intelligent Predictive Control of Roasting Furnace Temperature." In Modern Industrial IoT, Big Data and Supply Chain, 389–99. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6141-6_41.

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Michal, Ksiazek, Grådahl Svend, Rotevant Eirik Andersen, and Wittgens Bernd. "Capturing and Condensation of SiO Gas from Industrial Si Furnace." In Advances in Molten Slags, Fluxes, and Salts, 1153–60. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119333197.ch123.

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Conference papers on the topic "Industrial Furnace"

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Chang, S. L., C. Q. Zhou, and K. Scheeringa. "Numerical Simulations of Industrial Melting Furnaces." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47348.

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A computational fluid dynamics code developed at Argonne National Laboratory was used to simulate turbulent mixing, combustion reaction, radiation heat transfer, and pollutant kinetics of the combustion flow in industrial melting furnaces. The code employs an integral approach to incorporate a lumped combustion reaction model in the flow calculation and a separate hybrid technique to perform pollutant kinetics calculations for NOx and soot. The code validated with experimental data collected from industrial furnaces, was used to evaluate the impacts of burner operation conditions on the energy efficiency of furnaces. The results indicate that the furnace configuration has a significant effect on the combustion efficiency; the burner injection velocity affects the flow penetration and the species mixing; and the burner injection angle has a significant impact on the flow patterns and heat transfer. The study demonstrates that CFD can be a useful tool for analyzing the combustion flow of an industrial furnace.
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Muresan, Vlad, Mihail Abrudean, Daniel Moga, Mihaela-Ligia Unguresan, Iulia Clitan, Roxana Carmen Cordos, Adrian Codoban, Mircea Cohut, and Marius Rares Abrudan. "Temperature Modelling in an Industrial Furnace." In 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2020. http://dx.doi.org/10.1109/aqtr49680.2020.9129959.

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Golchert, Brian M., Shen-Lin Chang, and Ed Olson. "Modeling and Preliminary Validation of a Regenerative Furnace Using the ANL Glass Furnace Model." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47441.

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The ANL Glass Furnace Model (GFM) was developed for steady state simulation of industrial glass furnaces. Unfortunately, a large fraction of the operating glass furnaces do not operate in a steady state mode and computational costs make it prohibitive to run the simulations in a transient mode. A solution methodology was developed to model these transient furnaces in steady state mode. This solution methodology was used to model a small, industrial furnace on which a relatively comprehensive set of data was taken. This paper presents the solution methodology in detail along with some of the qualitative validation results indicating the validity of the modeling approximation.
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Golchert, B., S. L. Chang, C. Q. Zhou, and J. Wang. "Modeling of Regenerative Furnace Ports." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42321.

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In order to increase overall efficiency, many industrial glass furnaces are regenerative; that is, the heat from the exhaust gases is used to preheat in the in-coming combustion air. The ports on these furnaces inject stream(s) of fuel into the preheated air stream and then combustion occurs inside the combustion chamber. Modeling of the exact detail of these furnace ports in addition to modeling the combustion space proper becomes computationally burdensome since many of these furnaces are extremely large. This paper presents an engineering approach using computational fluid dynamics to model both the major effects of the furnace ports in addition to calculating the detailed flow field in the combustion space. This approximation has been incorporated into a complete (combustion space/glass melt) furnace simulation. This engineering approach significantly reduces run time while still maintaining results that represent the conditions seen in the furnace. This paper will present this approach as well as some preliminary comparisons with actual furnace data/observations.
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Mureşan, Vlad, Mihail Abrudean, Mihaela-Ligia Ungureşan, Iulia Clitan, Valentin Sita, and Tiberiu Coloşi. "Intelligent Temperature Control in an Industrial Furnace." In ICCAE 2020: 2020 12th International Conference on Computer and Automation Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3384613.3384647.

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Aeenmehr, A., A. Yazdizadeh, and M. S. Ghazizadeh. "Neuro-PID control of an industrial furnace temperature." In Applications (ISIEA 2009). IEEE, 2009. http://dx.doi.org/10.1109/isiea.2009.5356358.

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Shengquan Yang and Bailin Liu. "Research of industrial furnace fault diagnosis expert system." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5619377.

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Bitschnau, Lukas, and Martin Kozek. "Modeling and Control of an Industrial Continuous Furnace." In 2009 International Conference on Computational Intelligence, Modelling and Simulation. IEEE, 2009. http://dx.doi.org/10.1109/cssim.2009.26.

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Hogue, Tim, and David E. Stanley. "Reconfiguration And Deconstructability Design For Industrial Furnace Retrofit." In The Seventh International Structural Engineering and Construction Conference. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-5354-2_st-46-120.

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Bae, Juhee, Gunnar Mathiason, Yurong Li, Niklas Kojola, and Niclas Ståhl. "Understanding Robust Target Prediction in Basic Oxygen Furnace." In IEIM 2021: 2021 The 2nd International Conference on Industrial Engineering and Industrial Management. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447432.3447435.

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Reports on the topic "Industrial Furnace"

1

Federer, J. I., T. N. Tiegs, D. M. Kotchick, and D. Petrak. Analysis of candidate silicon carbide recuperator materials exposed to industrial furnace environments. Office of Scientific and Technical Information (OSTI), July 1985. http://dx.doi.org/10.2172/5275519.

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Berthod, J. W. Development and evaluation of a workpiece temperature analyzer for industrial furnaces. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10155811.

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Mohamed Abdelrahman, roger Haggard, Wagdy Mahmoud, Kevin Moore, Denis Clark, Eric Larsen, and Paul King. Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces. Office of Scientific and Technical Information (OSTI), February 2003. http://dx.doi.org/10.2172/808417.

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Keiser, James R., Gorti B. Sarma, Arvind Thekdi, Meisner Roberta A., Tony Phelps, Adam W. Willoughby, J. Peter Gorog, et al. Final Report, Materials for Industrial Heat Recovery Systems, Task 1 Improved Materials and Operation of Recuperators for Aluminum Melting Furnaces. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/919037.

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Development and evaluation of a workpiece temperature analyzer for industrial furnaces. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6195367.

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Development and evaluation of a workpiece temperature analyzer for industrial furnaces. Office of Scientific and Technical Information (OSTI), November 1991. http://dx.doi.org/10.2172/6006341.

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Development and evaluation of a workpiece temperature analyzer for industrial furnaces. Phase 1-A. Office of Scientific and Technical Information (OSTI), November 1991. http://dx.doi.org/10.2172/10107168.

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