[PDF][PDF] Optimizing Process Parameters of Rotary Furnace using Bio-fuels: An Interactive ANN approach

P Kumar, R Singh - International Journal of Computer Applications, 2013 - academia.edu
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 …

[PDF][PDF] Parametric modeling of a rotary furnace for agile production of castings with artificial neural networks

R Singh, G Das, R Setia - International Journal of Agile …, 2007 - researchgate.net
Rotary furnaces, apart from being pollution efficient, can maintain the quality standards set
by the present methods of casting. The rising demand for high quality castings necessitates …

[PDF][PDF] An evolutionary approach to parametric optimization of rotary furnace using light diesel oil

R Singh, G Das, R Setia - International Journal of Agile …, 2008 - researchgate.net
The rising demand for high quality, homogenous castings necessitates that a vast amount of
manufacturing knowledge be incorporated in manufacturing systems. Use of a rotary furnace …

[PDF][PDF] Modeling and Optimization of Experimentally Verified Effect of Preheated Excess Air on Fuel consumption of Rotary Furnace using PSO (Particle Swarm …

RK Jain, N Faisal - researchgate.net
The energy consumption in ferrous foundries has been reported as a serious concern. The
prevailing natural sources may not last long. By the time of availability of new resources we …

[PDF][PDF] Experimental Investigations and Mathematical Computations of Flame Temperature of LDO- Fired Rotary Furnace

RK Jain, R Singh - Indian Foundry Journal, 2011 - researchgate.net
The flame temperature plays an important role in melting rate, specific fuel consumption,
melting time, energy consumption and emission levels of LDO-fired rotary furnace. The …

[引用][C] Modeling and optimization of rotary furnace parameters using artificial neural networks and genetic evolutionary algorithms

R Singh, R Setia, G Das - Proc. 31st National Systems Conference, 2007