Understanding process design consists of four key stages: reactive phase equilibria, micro-
kinetic factors, macro-kinetic impacts, and equipment selection and design. The design of …

Background Data-driven methods play an important role in monitoring the liquid flooding
process for ensuring the efficient and safe operation of packed towers. However, their online …

Designing and optimizing solvent extraction columns requires careful consideration of the
determination and distribution of drop diameters. The size of droplets is influenced by the …

This study investigates the separation and recovery of molybdenum from acidic industrial
wastewater utilizing sequential chemical precipitation and solvent extraction approaches …

Monthly runoff prediction is crucial for water resource allocation and flood prevention. Many
existing methods use identical deep learning networks to understand monthly runoff …

The industrial waste streams generated by mixed acid solutions contain concentrated
solutions of toxic heavy metals, and improper disposal of these waste streams constitutes a …

The liquid–liquid extraction types of equipment are of substantial significance in industrial
fields due to their effectiveness in facilitating the separation and purification of substances …

Herein, to obtain the battery-grade Li 2 CO 3, pyrolysis of LiHCO 3 (the decomposition
process) using the Higee-microwave coupled reactor (HMR) was realized with process …

A detailed experimental study is performed to understand the effect of scaling up on the
hydrodynamic behavior of Pulsed Disc and Doughnut Columns (PDDCs) using three …

An artificial neural network (ANN) method is introduced to predict drop size in two kinds of
pulsed columns with small-scale data sets. After training, the deviation between calculate …