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Updated: Jan 28, 2026

Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer
Published on: November 30, 2020
A high-efficiency hydrocyclone designed by response surface methodology for acid hydrolysis residue recycling
Yanxia Xu1, Bo Tang1, Xingfu Song1
1National Engineering Research Centre for Integrated Utilization of Salt Lake Resource, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
Abstract:
A high-efficiency hydrocyclone was designed by response surface methodology to evaluate the recycling of acid hydrolysis residues from titanium dioxide (TiO2) production as a study case. TiO2 is an important product and the world's best white pigment. During its production from ilmenite (FeTiO3) by the sulfuric acid method, the incomplete reaction produces large amounts of residue, which also contain unreacted ilmenite. Large amounts of residue are generally accumulated without any treatment. Hydrocyclone use is regarded as a method for separating and recovering chemicals from process residues by which the unreacted components can be recycled efficiently. However, hydrocyclones designed by conventional procedures may have some limitations regarding classification sharpness. In this paper, numerical experiments and laboratory tests were performed to evaluate the classification sharpness of various hydrocyclone designs. Response surface methodology was used to optimize hydrocyclones with different structural configurations. Based on the response models, a designed hydrocyclone with a high sharpness of classification of particles was constructed. The sharpness of the newly designed hydrocyclone increased from 80.5% to 93.3%. The vortex finder separated approximately 89.9% of the fine particles in impurities, while 51.0% of TiO2 was recycled by the spigot. The hydrocyclone proposed in this paper properly minimizes the risk of environmental pollution caused by TiO2 production and provides a significant estimated cost savings.
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