Download 69th Conference on Glass Problems: Ceramic Engineering and by Charles H. Drummond III PDF
By Charles H. Drummond III
Remain updated with this choice of papers awarded on the 69th convention on Glass difficulties on the Ohio country collage. issues comprise melting and molding, refractories, and environmental matters and new products.Content:
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Extra resources for 69th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 30, Issue 1
67 (1984) no. 8, pp. 564-567 28 + 69th Conference on Glass Problems 69th Conference on Glass Problems Edited by Charles H. Drummond, I11 Copyright 0 2009 The American Ceramic Society ALL-ELECTRIC FURNACES FOR HIGH QUALITY DEMANDS IN A WIDE RANGE OF GLASS COMPOSITIONS Lars Biennek, Harald Jodeit, and Hans-Jurgen Linz JSJ Jena-Maua, Germany ABSTRACT All-electrically heated furnaces (AEF) are characterized by vertical flow of the melt. The melt itself is continuously and completely covered by a batch layer (cold top).
DEFECT ANALYSIS AND BUBBLE SOURCE IDENTIFICATION Knowledge of bubble composition, resulting from mass spectrometric analysis, is the basic step of the systematic approach to the bubble source identification. The basic principle of the identification Drocedure is studving the available bubble DroDerties as: 50 . 69th Conference on Glass Problems Laboratory Experiments and Mathematical Modeling Can Solve Furnace Problems - gas composition internal pressure size distribution, mostly recalculated to equivalent diameter at melting temperature presence of condensates other accompanying attributes (crystal, stones, cords) in the surrounding glass quantity of bubble appearance distribution of bubbles in the products Following the bubble properties, their sorting and evaluation leads to development of extensive knowledge base used in computerized systems for identification of bubble source for industrial tanks.
ABSTRACT Significant quality and throughput improvement to the glass float and fiber manufacturing process has been demonstrated by a new control method. The new temperature control method utilizes ACSl’s predictive-adaptive Model Based Control system. The Model Based Control system continuously adjusts the upstream process to ensure that the flow temperature is at the setpoint regardless of environmental conditions. The system has been field tested in a multitude of installations and has demonstrated the ability to improve temperature stability substantially as compared to conventional PID control.