Search Result "bubbles flow rate"


Mass Transfer Models for Oxygen-Water Co-Current Flow in Vertical Bubble Columns

Ebook: Young People’s Visions of the World

Volume: 1 Year: 2010
Author(s): Valdemar Garcia,João Sobrinho Teixeira
Doi: 10.2174/97816080529501120101

Characterization and Modeling of Flotation Processes

Ebook: Young People’s Visions of the World

Volume: 1 Year: 2010
Author(s): G.G. Kagramanov,V.A. Kolesnikov
Doi: 10.2174/97816080529501120101

Experimental Study of Water Boiling in Microchannel

Ebook: Young People’s Visions of the World

Volume: 3 Year: 2010
Author(s): S.G. Singh,R.R. Bhide,S.P. Duttagupta,Arunkumar Sridharan,Amit Agrawal
Doi: 10.2174/97816080522881120101

A Membrane-Free Alternative Method for Concentration of Live Microorganisms by Foam Separation

Ebook: Marine Ecology: Current and Future Developments

Volume: 2 Year: 2020
Author(s): Yoshihiro Suzuki
Doi: 10.2174/97898114372501200201

Sonochemical Production of Hydrogen: A Green and Sustainable Approach

Ebook: Ultrasound Technology for Fuel Processing

Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815049848123010007

Environmental Applications of Microalgae: CO2 Capture and Nutrient Recycling

Ebook: Recent Advances in Renewable Energy

Volume: 1 Year: 2017
Author(s): Meng Wang
Doi: 10.2174/9781681085227117010014

Money

Ebook: Economics: Current and Future Developments

Volume: 2 Year: 2017
Author(s): Maria Alejandra Madi
Doi: 10.2174/9781681085067117020005

High Gravity Technology for Improving Efficiency of Wastewater Treatment Processes

Ebook: Recent Trends and Innovations in Sustainable Treatment Technologies for Heavy Metals, Dyes and Other Xenobiotics

Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815049725122010005

Characterizing the Nature of Surface Radicals in Carbon-Based Materials, Using Gas-Flow EPR Spectroscopy

Ebook: The Art and Science of Poisons

Volume: 1 Year: 2018
Author(s): Ortal Marciano,Sharon Ruthstein
Doi: 10.2174/97816810869341180101

Currency Trend Prediction using Machine Learning

Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036060122010007

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