Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nazerke Saparbayeva"'
Autor:
Nazerke Saparbayeva, Boris V. Balakin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Plugging in flows with cohesive particles is crucial in many industrial and real-life applications such as hemodynamics, water distribution, and petroleum flow assurance. Although probabilistic models for plugging risk estimation are present
Externí odkaz:
https://doaj.org/article/ee571417ac11411696f35a79c5e77717
Publikováno v:
Computation, Vol 12, Iss 4, p 67 (2024)
This study presents a machine learning-based approach to predict blockage in multiphase flow with cohesive particles. The aim is to predict blockage based on parameters like Reynolds and capillary numbers using a random forest classifier trained on e
Externí odkaz:
https://doaj.org/article/b98c2095a815446fbe496cb9693d5f23
Autor:
Nazerke Saparbayeva, Yu-Fen Chang, Pawel Kosinski, Alex C. Hoffmann, Boris V. Balakin, Pavel G. Struchalin
Publikováno v:
Powder Technology. 426:118660