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Pengbo Fu

Researcher at East China University of Science and Technology

Publications -  41
Citations -  552

Pengbo Fu is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Hydrocyclone & Environmental science. The author has an hindex of 10, co-authored 32 publications receiving 298 citations.

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Air pre-oxidation induced high yield N-doped porous biochar for improving toluene adsorption

TL;DR: In this paper, high yield Nitrogen (N)-doped porous biochar for enhanced toluene adsorption was developed via a novel air pre-oxidation (APO) treatment.
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Inlet Particle-Sorting Cyclone for the Enhancement of PM2.5 Separation

TL;DR: The vertical reverse rotation cyclone (VRR-C), which made the smaller particles enter cyclone from radially outer side and axially lower side at the rectangular inlet, had the best separation performance, especially for PM2.5 separation.
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Fine particle sorting and classification in the cyclonic centrifugal field

TL;DR: In this article, a cyclonic multi-product sorting classifier was developed for fine particle sorting and classification in the cyclonic centrifugal field under the actions of radial and axial forces, and the results showed that the best height is 5 times as high as the rectangular inlet and the optimum gas flow is 30-60m 3 /h with the pressure drop not exceed of 80ÂPa.
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Deoiling of oil-coated catalyst using high-speed suspending self-rotation in cyclone

TL;DR: In this article, a high-speed suspending self-rotation of catalyst particles in cyclone with the help of microfluidic technology and high speed camera test is presented.
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Separation-and-Recovery Technology for Organic Waste Liquid with a High Concentration of Inorganic Particles

TL;DR: In this paper, a cyclonic gas stripping method for the removal of organic matter from the pores of particles was invented, and a technological process was developed to recover organic material from waste liquid by cyclonic stripping and classifying inorganic particles by means of airflow acceleration classification.