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Show X3-Y I ", is located in the corner of the furnace. This slab shows the most uniform temperature distribution across the slab. Fig.II clearly demons~tes the superior heating performance of the FDI-regenerative burner system. The FDI-regenerative system heats up the slabs uniformly as well as equally, up to 1300C, whereas the conventional burners cause non-uniform temperature distribution. Upper surface temperature is 100-200C higher than the lower surface. The FDI regenerative system is expected to heat the slabs equally in a shorter time. The FDI regenerative system appears to achieve not only high quality of the heated slab but also improved thermal efficiency. From the heating curves, it takes approximately 180 minutes to heat the steel slabs up to 1300C, the time of which reasonably agrees with the actual operation of the furnace. Though detailed comparison between the prediction and the measurement has not yet been made, quantitative agreement regarding the heating time appears encouraging. '-·-Fig~.12(a) and (b) show predicted heat flux distribution onto upper, lower and each side of slab surfaces in the forge furnace. The figures show heat flux distribution along the axis of the billets. Like in Fig.IO, the FOI-regenerative system demonstrates a more unifonn heat flux distribution along the axis as well as onto all the sides of the billet The FOI regenerative system is expected to improve the heating performance of the forge furnace. if-Diss (Industrial Furnace Design Intelligent Support System) The previous chapters have shown that the numerical methods are capable of predicting the performance of various industrial furnaces to optimize design parameters. Despite its many potential advantages, numerical simulation still requires lots of know-how and expertise to model various industrial furnaces with a wide variety of operating conditions. It is not yet widely used for optimum design and operation of industrial furnaces. Numerical simulation methods need to be more intelligent with user-friendly interactive features. Fig.13 shows a flow chart of the numerical simulation employed in this research. In the present numerical simulation, a modeler fIrst needs to interpret various furnace operating conditions to a series of input commands and parameters that a simulation code can read. Step A in Fig.13 shows this procedure. The interpretation not only wastes a lot of time but also requires experts' knowledge of numerical modeling as well as computer operation. An intelligent program is needed which allows interactive interpretation of furnace operating condition. This program 8 |