Year: 2025
Type: article
Abstract: Flow measurement is a crucial aspect of various industrial and engineering applications. Technological advancements have enabled more accurate and efficient measurement methods, including Flow-Induced Birefringence (FIB), neural networks, and Computational Fluid Dynamics (CFD). This study reviews different flow measurement techniques, comparing the advantages and challenges of each method while exploring the potential integration of Internet of Things (IoT)-based technology to enhance real-time flow monitoring.
Authors: Abdul Muchlis, Febby Ryan Affandi, Sultan Fadhil, Siti Yunita
Institution: Gunadarma University
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412495441