Advanced Machine Learning Evaluation for Predicting Bubble and Slug Length and Assessing Flow Stability in L and T-Type Taylor Flow Channels
Year: 2024
Type: preprint
Source: SSRN Electronic Journal
DOI: 10.2139/ssrn.4902375
Institution: Bursa Technical University
Language: English
Subfield: Fluid Flow and Transfer Processes
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4400929656
