In this work, we utilized advanced exergy analysis in conjunction with an integrated framework that combines artificial neural network (ANN) with particle swarm optimization (PSO) and genetic algorithm (GA) to evaluate ...

In today’s world, energy crisis is a prevalent problem and to overcome this, carbon dioxide must be separated from fuel gases to improve the energy content of the fuel. This can be achieved by employing either conventional ...

Artificial Neural Networks (ANN) utilization as surrogates within particle swarm optimization (PSO) and genetic algorithm (GA) frameworks for methanol flow rate optimization under uncertainty is explored in this work. ...

Process industry has been one of the most energy consuming sector. In order to reduce energy consumption, efficient energy process is vital. Heat exchanger is one of the abundantly used equipment in process industry. Plate ...

The iron melting furnaces are the most energy-consuming equipment of the iron and steel industry. The energy efficiency of the furnace is affected by process conditions such as the inlet temperature, velocity of the ...

The efficient and precise control of molten steel temperature in an induction furnace is paramount in modern steelmaking processes. This master's thesis presents a novel approach to address this critical challenge that ...

Recently hydrogels have got high scientific interest and become important material owing to their numerous applications in various walks of life. Due to the toxicity and nonbiocompatibility, bio-based polymers are preferred ...

Since hundreds of millions of tons of non-biodegradable packaging, such as expanded polystyrene, are manufactured each year, solutions that significantly reduce their environmental impact are urgently needed. The goal ...

Textile industries release effluent that contains the vast majority of heavy metals and dyes in which Cr (VI) and Congo red Dye is a toxic carcinogenic element that causes an environmental problem. The work aims to ...