Related references
Note: Only part of the references are listed.Comprehensive Parameter Screening for the Investigation of Particulate Fouling in Pipe Fittings
Niklas Jarmatz et al.
CHEMIE INGENIEUR TECHNIK (2023)
Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques
Sinan Uguz et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2022)
Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger
Emad M. S. El-Said et al.
APPLIED THERMAL ENGINEERING (2021)
Fouling modeling and prediction approach for heat exchangers using deep learning
Sreenath Sundar et al.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2020)
Experimental and numerical approach to resolve particle deposition on dimpled heat transfer surfaces locally and temporally
Hannes Deponte et al.
CHEMICAL ENGINEERING SCIENCE (2020)
Investigation of deposition and self-cleaning mechanism during particulate fouling on dimpled surfaces
Hannes Deponte et al.
HEAT AND MASS TRANSFER (2019)
Numerical investigation of the interaction between local flow structures and particulate fouling on structured heat transfer surfaces
Robert Kasper et al.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW (2018)
Big Data Analytics in Chemical Engineering
Leo Chiang et al.
ANNUAL REVIEW OF CHEMICAL AND BIOMOLECULAR ENGINEERING, VOL 8 (2017)
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Zhiqiang Ge et al.
IEEE ACCESS (2017)
Heat Transfer Fouling: 50 Years After the Kern and Seaton Model
Hans Mueller-Steinhagen
HEAT TRANSFER ENGINEERING (2011)