Results 111 to 120 of about 580 (146)

Modular and Cost-Effective Computed Tomography Design. [PDF]

Sensors (Basel)
Bieberle A, Hoffmann R, Döß A, Schleicher E, Hampel U.   +4 more
europepmc   +1 more source

Variable-Condition Operational Optimization of Oil and Gas Gathering Systems Considering Renewable Energy Accommodation: A Comprehensive Review and Future Perspectives. [PDF]

ACS Omega
Wang S, Wang W.
europepmc   +1 more source

Quality Management of Inert Material During Fluidized Bed Combustion of Biomass. [PDF]

Materials (Basel)
Wesolowska M, Wisniewski K, Krzywanski J, Nowak W, Kijo-Kleczkowska A.   +4 more
europepmc   +1 more source

Development of a Validated Rate-Based Model for CO₂ Absorption in Aqueous 2‑Amino-2-methyl-1-propanol and Piperazine Blends Using Aspen Plus. [PDF]

Energy Fuels
Morlando D, Zhang Y, Wang S, Knuutila HK.   +3 more
europepmc   +1 more source

Experimental Insights into Storage Capacity Enhancement and Seepage Mechanisms during Multicycle Injection-Production in Oil-Reservoir-Converted Underground Gas Storage. [PDF]

ACS Omega
Zhang Q, Zheng D, Wang J, Shi L, Li C, Yu H.   +5 more
europepmc   +1 more source

Prediction of pressure drop in heavy oil water ring based on modified two fluid model. [PDF]

Sci Rep
Fu J, Du M, Jing J, Liu H, Sun J, Chen W, Chen Y.   +6 more
europepmc   +1 more source

Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors

Chemical Engineering and Processing: Process Intensification, 2003
Abstract In the literature, several correlations have been proposed for gas holdup prediction in bubble columns. However, these correlations fail to predict gas holdup over a wide range of conditions. Based on a databank of around 3500 measurements collected from the open literature, a correlation for gas holdup was derived using a combination of ...
Ashfaq Shaikh, Muthanna H Al-Dahhan
exaly   +3 more sources