Results 1 to 10 of about 1,794 (255)

High-turbulence fine particle flotation cell optimization and verification [PDF]

open access: yesScientific Reports
Microfine mineral particles have a small size, light weight, and low inertia, making it difficult for them to deviate from streamlines and collide with bubbles.
QianDe Xu, Wentao Hu, Ming Zhang
doaj   +2 more sources

Pyrite tailings flotation based on collaboration of flotation machine and flotation column

open access: yes矿业科学学报, 2016
Flotation tests were conducted by using a sample of pyrite flotation tailings from a mine concentrate plant located in Yunfu,Guangdong province of China.The results show that the coarse and fine particles were effectively recovered based on the ...
Huang Gen, Xu Hongxiang, Zhang Shuguang
doaj   +1 more source

The design of copper flotation process based on multi-label classification and regression [PDF]

open access: yesScientific Reports
The intelligent design of copper flotation processes is an important means for improving resource utilization and reducing costs in the current mining industry. In our previous study, the flotation process design is split into the backbone process design
Haipei Dong   +3 more
doaj   +2 more sources

Machine Learning Technique for Recognition of Flotation Froth Images in a Nonstable Flotation Process

open access: yesMinerals (Basel, Switzerland), 2022
The paper is focused on the analysis of the relation between the stability of the flotation process and the efficiency of Machine Learning (ML) algorithms based on the flotation froth images. An ML process should enable researchers to construct Artificial Intelligence (AI) algorithms for flotation process control.
Jacek Galas, Dariusz Litwin
exaly   +2 more sources

Ensemble prediction modeling of flotation recovery based on machine learning

open access: yesInternational Journal of Mining Science and Technology
With the rise of artificial intelligence (AI) in mineral processing, predicting the flotation indexes has attracted significant research attention. Nevertheless, current prediction models suffer from low accuracy and high prediction errors.
Guichun He   +3 more
doaj   +3 more sources

Research on modeling the technology of processing anthropogenic old tailings of Primorsky Concentrating Factory [PDF]

open access: yesE3S Web of Conferences, 2020
The possibility of processing old tailings of the Primorsky Concentrating Factory (PCF) has been assessed. The average mass fraction of WO3 is 0.08%, Cu is 0.052%, the average content of Au is 0.38 ppm, Ag is 1.1 ppm.
Shepeta Elena   +3 more
doaj   +1 more source

Extraction of gold in a centrifugal field of fluid rotation [PDF]

open access: yesE3S Web of Conferences, 2020
With the samples of the gold-antimony ore processing products of the Sentachan deposit, flotation experiments were carried out on a laboratory centrifugal flotation machine with peripheral concentrate discharge (CFM) and on a laboratory mechanical ...
Salomatova Svetlana
doaj   +1 more source

Column Combined Flotation of Low Grade Tin Tailings

open access: yesKuangchan zonghe liyong, 2023
This is an essay in the field of mineral processing engineering. In order to make more efficient use of the resources in cassiterite tailings, we put forward the process flow of combined operation of flotation column and flotation machine on the basis of
Huijie Lin   +6 more
doaj   +1 more source

Study on Re-concentration of Flotation Tailings in Gongchangling Iron Plant

open access: yesKuangchan zonghe liyong, 2023
Pre-separation test of grinding-high intensity magnetic separation-medium magnetic separation was carried out on the flotation tailings of Gongchangling hematite. The iron grade of magnetic separation rough concentrate obtained by pre-separation is 41.71%
Yanlin Jin, Tonglin Zhao, Mingze Zhang
doaj   +1 more source

Intelligent Detection Method for Froth Flotation Based on YOLOv5

open access: yesIEEE Access, 2022
YOLOv5 based flotation foam intelligent detection method is based on machine vision technology, and uses YOLOv5 based deep learning framework to tackle the problem of data mining of flotation froth.
Changliang Guan   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy