Download or read book Modelling and Control of an Electric Arc Furnace Off gas Process written by Johannes Gerhardt Bekker and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modelling and Control of an Electric Arc Furnace written by and published by . This book was released on 1996 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling and Control of Batch Processes written by Prashant Mhaskar and published by Springer. This book was released on 2018-11-28 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes: a novel batch control design with well characterized feasibility properties; a modeling approach that unites multi-model and partial least squares techniques; a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Download or read book Robust Model Predictive Control of an Electric Arc Furnace Refining Process written by Lodewicus Charl Coetzee and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation forms part of the ongoing process at UP to model and control the electric arc furniture process. Previous work focused on modelling the furnace process from empirical thermodynamic principles as well as fitting the model to actual plant data. Automation of the process mainly focused on subsystems of the process, for example the electric subsystem and the off-gas subsystem. The modelling effort, especially the model fitting resulted in parameter values that are described with confidence intervals, which gives rise to uncertainty in the model, because the parameters can potentially lie anywhere in the confidence interval space. Robust model predictive control is used in this dissertation, because it can explicityly take the model uncertainty into account as part of the synthesis process. Nominal model predictive control not taking model uncertainty into account is also applied in order to determine if robust model predictive control provides any advantages over the nominal model predictive control. This dissertation uses the process model from previous wok together with robust model predictive control to determine the feasibility of automating the process with regards to the primary process variables. Possible hurdles that prevent practical implementation are identified and studied.

Download or read book Improved Control of Electric Arc Furnace Operations by Process Modelling written by and published by European Communities. This book was released on 2005 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Electric Arc Furnace Steelmaking written by Miroslaw Karbowniczek and published by CRC Press. This book was released on 2021-09-19 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of electric arc furnace steelmaking is evident from the escalated world production seen in steel industry. This book presents systematic and complete details on the current state of knowledge about metallurgical processes carried out in the electric arc furnace. It includes principles of construction of electric arc furnaces, applied construction solutions, and their operations (together with auxiliary/supportive devices). Modern technologies of melting of various grades steel are detailed, considering the participation of secondary metallurgy including theoretical backgrounds of chemical processes and reactions. It contains theoretical analysis and results of laboratory, model, and industrial tests. Features: Covers the practical aspects of electric arc furnace steelmaking including technological process. Discusses the operation issues of an electric arc furnace in a technical and technological context. Presents a systematic and complete knowledge about relevant construction solutions and metallurgical processes. Includes practical industrial benchmark indicators in the scope of equipment and technology. Analyses practical case studies from industry. This book aims at researchers, professionals and graduate students in Metallurgical Engineering, Materials Science, Electric Power Supply, Environmental Engineering, and Mechanical Engineering.

Download or read book Improved Modeling and Optimal Control of an Electric Arc Furnace written by Jared James Snell and published by . This book was released on 2010 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis centers around an electric arc furnace (EAF) at a steel mini-mill in Wilton, IA. First, the thesis replicates previous optimization attempts. Next, the modeling is greatly altered to produce a much improved steel-melting model. Then, a new optimal control system is created and used to reduce energy and fuel costs over the melting process. Finally, results are presented. This thesis shows that when the new optimal control is simulated, the system shows significant energy and fuel savings.

Download or read book Plantwide Control written by Gade Pandu Rangaiah and published by John Wiley & Sons. This book was released on 2012-01-09 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties. Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations. Over the past 30 years, many tools and methodologies have been developed to accommodate increasingly larger and more complex plants. This book provides a state-of-the-art of techniques for the design and evaluation of PWC systems. Various applications taken from chemical, petrochemical, biofuels and mineral processing industries are used to illustrate the use of these approaches. This book contains 20 chapters organized in the following sections: Overview and Industrial Perspective Tools and Heuristics Methodologies Applications Emerging Topics With contributions from the leading researchers and industrial practitioners on PWC design, this book is key reading for researchers, postgraduate students, and process control engineers interested in PWC.

Download or read book Process Modeling in Pyrometallurgical Engineering written by Henrik Saxén and published by MDPI. This book was released on 2021-09-01 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Special Issue presents almost 40 papers on recent research in modeling of pyrometallurgical systems, including physical models, first-principles models, detailed CFD and DEM models as well as statistical models or models based on machine learning. The models cover the whole production chain from raw materials processing through the reduction and conversion unit processes to ladle treatment, casting, and rolling. The papers illustrate how models can be used for shedding light on complex and inaccessible processes characterized by high temperatures and hostile environment, in order to improve process performance, product quality, or yield and to reduce the requirements of virgin raw materials and to suppress harmful emissions.

Download or read book Preliminary Results from Electric Arc Furnace Off Gas Enthalpy Modeling written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This article describes electric arc furnace (EAF) off-gas enthalpy models developed at Oak Ridge National Laboratory (ORNL) to calculate overall heat availability (sensible and chemical enthalpy) and recoverable heat values (steam or power generation potential) for existing EAF operations and to test ORNL s new EAF waste heat recovery (WHR) concepts. ORNL s new EAF WHR concepts are: Regenerative Drop-out Box System and Fluidized Bed System. The two EAF off-gas enthalpy models described in this paper are: 1. Overall Waste Heat Recovery Model that calculates total heat availability in off-gases of existing EAF operations 2. Regenerative Drop-out Box System Model in which hot EAF off-gases alternately pass through one of two refractory heat sinks that store heat and then transfer it to another gaseous medium These models calculate the sensible and chemical enthalpy of EAF off-gases based on the off-gas chemical composition, temperature, and mass flow rate during tap to tap time, and variations in those parameters in terms of actual values over time. The models provide heat transfer analysis for the aforementioned concepts to confirm the overall system and major component sizing (preliminary) to assess the practicality of the systems. Real-time EAF off-gas composition (e.g., CO, CO2, H2, and H2O), volume flow, and temperature data from one EAF operation was used to test the validity and accuracy of the modeling work. The EAF off-gas data was used to calculate the sensible and chemical enthalpy of the EAF off-gases to generate steam and power. The article provides detailed results from the modeling work that are important to the success of ORNL s EAF WHR project. The EAF WHR project aims to develop and test new concepts and materials that allow cost-effective recovery of sensible and chemical heat from high-temperature gases discharged from EAFs.

Download or read book Modelling Identification and Control of an Electric Arc Furnace written by S. A. Billings and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Neuro fuzzy Systems to Improve the Control of the Electric Arc Furnace Process written by and published by . This book was released on 2004 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modelling and Control of an Electrode System for a Three phase Electric Arc Furnace written by Marius Peens and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation investigates the control of the electrical energy input to a three-phase electric arc furnace (EAF). Graphite electrodes are used to convert electrical energy into heat via three-phase electric arcs. Constant arc length is desirable as it implies steady energy transfer from the graphite electrodes to the metallic charge in the furnace bath. With the charge level constantly changing, the electrodes must be able to adjust for the arc length to remain constant. In this dissertation electric arc current is used as the control variable. This is the most often used control variable in the electric arc furnace industry and implies fast adjustments of short circuits between the electrode tips and the metallic charge. The motivation behind the modelling of the electrode system for a three-phase electric arc furnace is to extend an existing EAF model developed at the University of Pretoria. The existing model investigates the control of the electric arc furnace process itself and it is assumed that the applied electrical energy input is constant. Proportional-Integral-Derivative (PID) control as well as Model-Predictive-Control (MPC) is applied to the electrode system. Time delays on the outputs of the hydraulic actuators makes it necessary to include approximations of time delays on the outputs of the linear model, which is needed for controller design. A well known general control problem is followed in this dissertation. All models are derived from first principles, and complete controller design is carried out. Most available literature lack in at least one of these fields.

Download or read book Intelligent Prognostics for Engineering Systems with Machine Learning Techniques written by Gunjan Soni and published by CRC Press. This book was released on 2023-09-22 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science. The book Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learning The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.

Download or read book The Making Shaping and Treating of Steel Ironmaking volume written by and published by . This book was released on 1999 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling of Post Combustion in the Electric Arc Furnace written by Divyang Shah and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "There have been a lot of technical advances in electric arc furnace (EAF) steelmaking over the last 30 years, but there is still a significant amount of energy that might be recovered and utilized within the EAF to improve the productivity and reduce the carbon monoxide content of the offgas. About 20% of the energy in a typical EAF is lost as sensible heat or unutilized chemical energy in the offgas. This energy is the target of post-combustion studies. Post combustion is the injection of secondary oxygen into steelmaking vessels in order to convert the generated CO to CO2. This reaction being highly exothermic results in large quantities of energy which can be utilized within the furnace. The purpose of this research was to develop a better understanding of the post-combustion process and evaluate the effects of heat transfer and fluid flow phenomena that take place in the EAF. Thermodynamic models (Global and Pseudo-Dynamic) were developed using the Pyrosim software. The global model considered all the inputs into the furnace and based on those inputs predicted the outputs from the furnace. The EAF was modeled as a single reactor with four zones: a melting zone; a foamy slag zone; a post combustion zone and a duct zone. The dynamic model was divided into various stages and the composition of metal and slag was calculated at different times during the heat. EAF steelmaking was modeled as a series of steps. It was concluded that oxygen for PC may be more effective if added at a higher rate during earlier parts of the heat. The Pyrosim model considers the thermodynamic equilibrium and a mass and heat balance but does not consider the effects of fluid flow and heat transfer. Hence a numerical model was developed using FLUENT, a computational fluid dynamics software. The purpose of this model was to analyze post combustion by the computation of flow patterns, concentrations and temperature fields in the gas space of an electric arc furnace. The effect of variables such as the number of lances, angle and velocity at which the oxygen is injected was also studied"--Abstract, leaf iii

Download or read book Model Fitting for Electric Arc Furnace Refining written by Letsane Paul Rathaba and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation forms part of an ongoing project for the modelling and eventual control of an electric arc furnace (EAF) process. The main motivation behind such a project is the potential benefits that can result from automation of a process that has largely been operator controlled, often with results that leave sufficient room for improvement. Previous work in the project has resulted in the development of a generic model of the process. A later study concentrated on the control of the EAF where economic factors were taken into account. Simulation results from both studies clearly demonstrate the benefits that can accrue from successful implementation of process control. A major drawback to the practical implementation of the results is the lack of a model that is proven to be an accurate depiction of the specific plant where control is to be applied. Furthermore, the accuracy of any process model can only be verified against actual process data. There lies the raison d'etre for this dissertation: to take the existing model from the simulation environment to the real process. The main objective is to obtain a model that is able to mimic a selected set of process outputs. This is commonly a problem of system identification (SID): to select an appropriate model then fit the model to plant input/output data until the model response is similar to the plant under the same inputs (and initial conditions). The model fitting is carried out on an existing EAF model primarily by estimation of the model parameters for the EAF refining stage. Therefore the contribution of this dissertation is a model that is able to depict the EAF refining stage with reasonable accuracy. An important aspect of model fitting is experiment design. This deals with the selection of inputs and outputs that must be measured in order to estimate the desired parameters. This constitutes the problem of identifiability: what possibilities exist for estimating parameters using available I/O data or, what additional data is necessary to estimate desired parameters. In the dissertation an analysis is carried out to determine which parameters are estimable from available data. For parameters that are not estimable recommendations are made about additional measurements required to remedy the situation. Additional modelling is carried out to adapt the model to the particular process. This includes modelling to incorporate the oxyfuel subsystem, the bath oxygen content, water cooling and the effect of foaming on the arc efficiency.