Optimizing Induction Furnace Parameters Using TOPSIS

Optimizing Process Parameters of Rotary Furnace using Bio-fuels: An Interactive ANN Approach

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...

Thermal Analysis of Induction Furnace

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...

Ann Based Prediction of Blast Furnace Parameters

MOPED: Method for optimizing physical energy parameters using decoys

We present a method called MOPED for optimizing energetic and structural parameters in computational models, including all-atom energy functions, when native structures and decoys are given. The present method goes beyond previous approaches in treating energy functions that are nonlinear in the parameters and continuous in the degrees of freedom. We illustrate the method by improving solvation...

Optimizing configurable parameters of model structure using genetic algorithms

Fractionation product properties of crude distillation unit (CDU) need to be monitored and controlled through feedback mechanism. Due to inability of on-line measurement, soft sensors for product quality estimation are developed. Soft sensors for kerosene distillation end point are developed using linear and nonlinear identification methods. Experimental data are acquired from the refinery dist...