Artificial neural network-based sensitivity analysis and experimental investigation of liquid–solid fluidization technique for low-grade coal upgradation-Reference-Cited by-同舟云学术

Artificial neural network-based sensitivity analysis and experimental investigation of liquid–solid fluidization technique for low-grade coal upgradation

Published:2021-07-21 Issue: Volume: Page:1-13
ISSN:0193-2691
Container-title:Journal of Dispersion Science and Technology
language:en
Short-container-title:Journal of Dispersion Science and Technology

Author:

Kumari Ajita¹²,Tripathy Alok³,Mandre N. R.¹

Affiliation:

1. Department of Fuel, Minerals & Metallurgical Engineering, IIT (ISM) Dhanbad, Dhanbad, India

2. CSIR - National Metallurgical Laboratory Madras Centre, Chennai, India

3. CSIR - Institute of Minerals and Materials Technology, Bhubaneswar, India

Publisher

Informa UK Limited

Subject

Polymers and Plastics,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/01932691.2021.1947846

Reference46 articles.

1. Gravity separation of coarse particles using the Reflux Classifier

2. Statistical optimization study of jigging process on beneficiation of fine size high ash Indian non-coking coal

3. Combustion behavior of KOH desulphurized coals assessed by TGA-DTG

4. The role of hydrophobia interactions in coagulation

5. Study of Hydrodynamics and Dry Beneficiation Characteristics of Coal in the Riser of a Circulating Fluidized Bed Reactor

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