Methods for Controlling Thermal Performance of the Glass-Melting Furnace

Dzyuzer, V. Ya.; Shvydkii, V. S.; Klimychev, V. N.

doi:10.1007/s10717-005-0047-8

Cited by 3 publications

(2 citation statements)

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“…Dzyuzer, Shvydkii, and Klimychev described the specifics and control algorithms for a glass‐melting furnace and analyzed methods for setting and monitoring the temperature regulation parameters in the working space. The advantages were demonstrated by using their mathematical model for the construction of an automated control system for the thermal regulation of the glass‐melting furnace …”

Section: Literature Reviewmentioning

confidence: 99%

“…The advantages were demonstrated by using their mathematical model for the construction of an automated control system for the thermal regulation of the glass-melting furnace. 3 To control the temperature for a TV Glass furnace, Moon and Lee modeled one linear portion of the furnace with a First Order-Plus-Dead-Time (FOPDT) System and applied a PI controller to the FOPDT model. The remaining complex and nonlinear portion of the furnace dynamics was covered by a fuzzy logic system using rules collected from human experts.…”

Section: Literature Reviewmentioning

confidence: 99%

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Estimator‐Based LQR Control Model for Glass Fiber Furnace

Liu

Banta

2012

Int J of Appl Glass Sci

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Drawing of glass fibers is an important industrial process used for manufacture of a variety of materials. A variety of furnaces and machines exist for manufacture of glass fibers, but all share similar problems with control of the fiber diameter and breakage of the fibers during the extrusion process. In many cases, control systems are not configured to monitor the most critical process variable — temperature of molten glass in the furnace, but instead use only furnace crown temperature. This work seeks to develop an estimator‐based LQR control model to monitor molten glass temperature and winder speed for good production quality. When a disturbance in ambient temperature and/or molten glass depth happens, the control system still performs as expected.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Estimator‐Based LQR Control Model for Glass Fiber Furnace

Liu

Banta

2012

Int J of Appl Glass Sci

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The Effect of Flame Length on Exterior Heat Exchange in a Glass Melting Furnace with Horseshoe-Shaped Flame

Dzyuzer¹,

Shvydkii²

2005

Glass Ceram

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The topicality of studying heat and mass exchange in a glass-melting furnace with horseshoe-shaped flame is substantiated. The main requirements on advisable flame length in this type of furnace are formulated. The need for jointly solving the exterior and interior heat-transfer problems is demonstrated. The results of calculating temperatures of the gaseous medium, the roof, and the glass melt surfaces depending on the flame length are given. It is established that based on the set of conditions, the recommended length of the flame can be taken equal to the furnace length. The extent of the intense combustion zone (visible part of the flame) in this case is approximately 0.7 furnace length.At present the main thermal plant for melting container glass is a regenerative tank furnace with a horseshoe-shaped flame. Its design has not undergone significant changes during the past 20 years. At the same time, the engineering and economical parameters of foreign furnaces have reached a rather high level. It is sufficient to note that the efficiency of contemporary furnaces exceeds 50%. This is largely due to the evolutionary upgrade of furnace elements. This primarily concerns the designs of the melting tank, burners, regenerator, etc. A high furnace efficiency implies efficient thermal insulation using high-quality refractories. Furthermore, a high-efficiency furnace requires state-of-the-art control systems and a careful attitude to the quality of initial materials and batch quality.The effect of the majority of the above factors on furnace parameters can be estimated not only qualitatively, but quantitatively as well, including the analysis of the thermal balance items. The design specifics of the main furnace components appear understandable and reproducible. Our knowledge of the glass-melting process and the furnace design appears quite extensive, consequently, we could assume that reaching a high efficiency is just the matter of financial resources. Unfortunately, the actual practice demonstrates that copying a successful furnace design, as a rule, does not produce results adequate to the prototype. The point is that the technical efficiency of a furnace depends on a set of interrelated factors, where the furnace design is only one of significant components. A significant aspect in the performance of a glass-melting flame furnace is setting up heat-transfer processes in the working space and in the melting tank. As the chemical energy of fuel is the main source of heat generation, a rational implementation of the combustion process (the flame) is one of the most essential problems of thermal engineering in glass melting. According to the method of V. G. Lisienko [1], four main parameters of a flame have the most significant effect on heat and mass transfer in the glass-melting furnace, namely the length, the radiation, velocity, and other aerodynamic characteristics of the flame, as well as the flame position with respect to the heated surface (glass melt). The above flame parameters, in turn, are integrated and, ...

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Methodology for adaptation of a conjugate mathematical model of hydrodynamics and heat exchange in a glass-melting furnace with horseshoe-shaped flame direction

Dzyuzer¹,

Shvydkii²

2006

Glass Ceram

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The sequence for adapting a conjugate mathematical model describing external heat exchange in the work space and heat exchange and hydrodynamics of the melt in a glass-melting furnace melting tank with horseshoe-shaped flame direction was examined. It was shown that it is sufficient to use the experimental dependences of the air heating temperature and temperature of the glass melt at the outlet of the melting tank on the furnace efficiency for adapting the model when the basic modeling boundary conditions have been correctly assigned. Equations were obtained that establish the correlation of the specific heat rate and maximum melting temperature and the specific output of glass melt, and they can be used in constructing an algorithm for controlling the thermal work of a glass-melting furnace of the design studied.In the current conditions of development of the glass industry, mathematical modeling of glass-melting furnaces should be considered an integral part of design methodology [1]. Mathematical models that are sufficiently complete and adequate can be used to not only evaluate the reliability of the basic characteristics of furnaces but also to optimize them and to predict their behavior with consideration of the probable nature of many operating parameters of real objects. Predicting the output characteristics of a designed object (output, fuel consumption, melting temperature, etc.) in the design stage is due to the necessity of ensuring the requirements for the quality of the glass melt, thermal efficiency of the furnace, and operating time between servicings. It makes it possible to evaluate the correspondence of the furnace design to the performance loads and purposefully select the optimum operating parameters.In the general case, the detail and accuracy of the mathematical model should correspond to the given quality of the object. Superfluous details in the model causes an unjustified increase in computer time costs and insufficient detail leads to an incorrect result. On the whole, the basic requirements for mathematical models can be reduced to goodness of fit, accuracy, and economy. Economy (computer efficiency) is characterized by the costs for computer time and memory of the computer system. Goodness of fit is the reflection of the selected properties of the object by the model with a given accuracy. Accuracy means the degree of correspondence of the evaluations of similar properties of the object and model.The goodness of fit of the model to the sample is always limited and is a function of the purpose of modeling. Any model does not take into account some properties of the original and for this reason is an abstraction of it. The goodness of fit of the model is established by testing the basic laws of the object region (for example, laws of conservation) and comparing the results of modeling of particular variants with the known solutions for these variants. Within the framework of the principles of reasonable sufficiency and balance of accuracy, the evaluation of the goodness of fit of a mat...

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Methods for Controlling Thermal Performance of the Glass-Melting Furnace

Cited by 3 publications

References 4 publications

Estimator‐Based LQR Control Model for Glass Fiber Furnace

Estimator‐Based LQR Control Model for Glass Fiber Furnace

The Effect of Flame Length on Exterior Heat Exchange in a Glass Melting Furnace with Horseshoe-Shaped Flame

Methodology for adaptation of a conjugate mathematical model of hydrodynamics and heat exchange in a glass-melting furnace with horseshoe-shaped flame direction

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