Induction heating furnaces are employed for vacuum distillation process to recover and consolidate heavy metals after electrorefining operation. Induction heating furnaces of suitable heating rates are required to be developed for this purpose. Hence it is planned to set up a mock-up induction furnace which will simulate the conditions to be realized in actual induction heated vacuum distillati...

(Draft Paper) This paper discusses an industrial application of a neural network based automatic scheme for fault detection and diagnosis. Faults in a lime kiln are isolated and detected, using two multilayer feedforward networks. One is used to model the industrial process according to its nonlinear structure. The fault detection method is based on the output prediction error between the real ...

Induction Heating Furnaces are used extensively in industry. The basic principle is that induced eddy currents are used to heat a ferromagnetic material as it passes through a series of coils. Because of the importance of such systems, there has been on-going interest in their design and operation. Past work includes model development from physical principles and optimal design of operational p...

We describe an interactive toolkit used to perform comparative analysis of two or more data sets arising from numerical simulations. Several techniques have been incorporated into this toolkit, including (1) successive visualization of individual data sets, (2) data comparison techniques such as computation and visualization of the differences between data sets, and (3) image comparison methods...

Blast furnace gas is the byproduct of smelting steel production process, and is the important secondary energy source. It is can be used as fuel for engines to generate electricity for most middle and small steel enterprises. In order to understand the combustion mechanism and provide the basis for the design of blast furnace gas engine,premixed laminar combustion experiments of the blast furna...

This paper deals with a novel interactive approach of Artificial Neural Network (ANN) as an optimization tool for optimizing process parameters of rotary furnace. This approach solves a very challenging problem in the area of rotary furnace i. e. selection of optimal process parameters for producing homogenous quality castings. Rotary furnace involves several critical parameters like flame temp...

AIM To describe a new toxic inhalation syndrome in blast furnace workers. METHODS Fourteen workers developed acute respiratory symptoms shortly after exposure to "air blast" from blast furnace tuyeres. These included chest tightness, dyspnoea, rigors, and diaphoresis. Chest radiographs showed pulmonary infiltrates, and lung function a restrictive abnormality. This report includes a descriptio...

This paper presents the application of DSTATCOM in a distribution network with induction furnace load. Induction furnace is one of the common types of load used in industries like the steel industry. The problem with the induction furnace load is the generation of appreciable amount of harmonic distortion. This distortion results due to the design and operation of the induction furnace. This ha...

Optimisation and improved control of the annealing furnace on a continuous galvanising line was investigated by the construction of a series of mathematical models to predict furnace and strip temperature and strip recrystallisation under both steady and transient states. A modelling approach is followed due to the very poor measurability of temperatures inside the furnace, affected by strong r...