Explore
Design, Modeling, Optimization and Control of Flotation Process
0 Ungluers have
Faved this Work
Login to Fave
The ultimate goal of a flotation process is to achieve the economically optimum combination of the desired mineral grade and recovery in the final concentrate from a feed of varying composition. The industrial operation of froth flotation faces many challenges, such as sudden decreases in the recovery and grade of recovered materials. The quality of the final concentrate determines the success of the downstream processes, and achieving optimum metallurgical performance requires proper characterization, optimization, and control of the process. The efficiency of a flotation circuit operation relies on several factors that are pertinent to mineral nature and structure (variability of ore feed, particle size, mineralogy, and morphology) and the type of instrumentation and operational parameters (design parameters, reagents, quality of process water, air flow rate, and solid content) used, which require both advanced theoretical and practical studies. Hence, new techniques in the fields of design, modeling, optimization, and control of flotation processes have attracted much attention.This Special Issue is dedicated to the latest findings on methodologies, applications, and case studies regarding flotation to improve process efficiency, reduce energy consumption, and increase the sustainability of these processes. It provides a wide range of research and practical topics, including those related to design, simulation and instrumentation, and process control.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 7 times via unglue.it ebook links.
- 7 - pdf (CC BY-NC-ND) at Unglue.it.
Keywords
- artificial neural network
- bubble size
- carrier minerals
- column flotation
- control structure
- convolutional neural network
- copper flotation
- copper ore flotation
- correction
- Drainage
- drift flux
- field experiments
- fine particles
- flotation
- flotation foam
- flotation scheme
- froth flotation
- Fuzzy logic
- gas dispersion
- gated recurrent unit (GRU)
- global sensitivity analysis
- gold microdispersions
- gold-bearing ore
- Image processing
- image segmentation
- Intelligent
- iron ore
- K-means clustering
- kinetic model
- Long Short-Term Memory (LSTM)
- machine vision
- Mathematical model
- mathematical modeling
- multiple linear regression
- n/a
- Neural Network
- Numerical Simulation
- partial differential equation
- PGE floatability
- PGM species
- Platreef
- prediction
- predictive geometallurgy
- Recovery
- recurrent neural network
- SAG mill
- Sauter diameter
- slip
- slip correction
- Stability
- Steady state
- sulfur removal
- SX process
- uncertainty
- wall correction
- wetting film
Links
DOI: 10.3390/books978-3-7258-1395-7Editions