Evaluating the performance of machine learning CFD-based and hybrid analytical models for transient flow prediction in temperature-compensated digital flow units-Reference-Cited by-同舟云学术

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Evaluating the performance of machine learning CFD-based and hybrid analytical models for transient flow prediction in temperature-compensated digital flow units

Published:2024-02 Issue: Volume:95 Page:102511
ISSN:0955-5986
Container-title:Flow Measurement and Instrumentation
language:en
Short-container-title:Flow Measurement and Instrumentation

Author:

Elsaed Essam,Linjama Matti^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Instrumentation,Modeling and Simulation

Reference63 articles.

1. A method for improving flow control valve performance based on active differential pressure regulation;Wang;Measurement,2023

2. NOVEL DESIGN OF A GENERAL-PURPOSE IN-SITU TRIBOLOGY TEST CHAMBER FOR FLUID POWER APPLICATIONS;Masia,2023

3. Fluid Power with Applications;Esposito,2013

4. Principles of Hydraulic Systems Design;Chapple,2014

5. “Characteristics of a Digital Flow Control Unit with PCM Control,” Presented at the 7th Triennial International Symposium on Fluid Control, Measurement and Visualization;Laamanen,2003

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1. Machine Learning Approach for the Investigation of Metal Ion Concentration on Distillate Marine Diesel Fuels through Feed Forward Neural Networks;Lubricants;2024-04-14

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