Application of Artificial Neural Network to predict phosphoric acid slurry viscosity
Author:
Affiliation:
1. Mohammed V University in Rabat,Mohammadia Engineering School,Rabat,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10084916/10084921/10085259.pdf?arnumber=10085259
Reference11 articles.
1. Modelling and optimization of P2O5 losses in phosphoric acid attack and filtration process
2. Parametric study to enhance performance of wastewater treatment process, by reverse osmosis-photovoltaic system
3. Study of the rheological behaviour of the slurry in the phosphoric acid reactor;bichri;International Conference on Phosphates (ICP)Fundamentals processes and technologies (2nd edition) Phosphate Days,2020
4. Liquid Density Prediction of Ethanol/Water, Using Artificial Neural Network;jbari;Biointerface Recsearch in Applied Chemistry,2021
5. Prediction of Thermo-Physical Properties of TiO2-Al2O3/Water Nanoparticles by Using Artificial Neural Network
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Study of phosphoric acid slurry rheological behavior in the attack reactor and development of a model to control its viscosity using artificial intelligence;Data and Metadata;2023-12-30
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