As a typical energy-intensive industry, the primary aluminum industry (PAI) is the third
largest source of greenhouse gas (GHG) emissions, followed by the electricity and steel …

Rice holds key importance in food and nutritional security across the globe. Nutrient
management involving rice has been a matter of interest for a long time owing to the unique …

Deep neural networks have become very popular in modeling complex nonlinear processes
due to their extraordinary ability to fit arbitrary nonlinear functions from data with minimal …

Modeling complex physical processes such as the extraction of aluminum is mainly done
using pure physics-based models derived from first principles. However, the accuracy of …

Environmental pollution and low resource utilization efficiency caused by pyrometallurgy
have seriously restricted the sustainable development of secondary lead smelting industry …

In this study, density, viscosity, surface tension and CO 2 solubility for single, binary and
ternary aqueous solutions of N-methyldiethanolamine (MDEA), piperazine (PZ) and 12 …

Anode carbon residue is produced in the production of electrolytic aluminum. Its properties
need to be studied for secondary utilization. In this paper, mineralogy of anode carbon …

Given the continued increase of sulfur (mostly formed by thiophenic S) content of petroleum
coke and the inefficient desulfurization in the carbon anode process, the sulfur content of …

A new inspection technique for complex mechanical structures is proposed in this paper,
where a fuzzy inference system carries out structural inspection. The inputs to the fuzzy …

The paper presents a modeling method about the energy consumption of aluminum
electrolysis process based on a new neural network. The proposed neural network (NN) is …