Experimental study on condensate heat transfer coefficient of multi-channel cylinder dryer integrated with Bayesian-optimized machine learning prediction-Reference-Cited by-同舟云学术

Experimental study on condensate heat transfer coefficient of multi-channel cylinder dryer integrated with Bayesian-optimized machine learning prediction

Published:2023-07-26 Issue:14 Volume:41 Page:2309-2322
ISSN:0737-3937
Container-title:Drying Technology
language:en
Short-container-title:Drying Technology

Author:

Qiao Lijie¹,Dong Jixian¹,Zhang Kunliang¹,Chen Xiangquan¹,Yang Zhuozhi¹,Liu Huan¹,Wang Sha¹,Dong Yan¹,An Meng¹²

Affiliation:

1. College of Mechanical and Electrical Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China

2. Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Shaanxi Provincial Key Research and Development Project

Publisher

Informa UK Limited

Subject

Physical and Theoretical Chemistry,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/07373937.2023.2236197

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4. Productivity Modeling Enhancement of a Solar Desalination Unit with Nanofluids Using Machine Learning Algorithms Integrated with Bayesian Optimization

5. Botha, R. Factors Influencing the Drainage and Drying of Pulp; Master Thesis, University of Pretoria, 2015.

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