Universal Model for Predicting Maximum Spreading of Drop Impact on a Smooth Surface Developed Using Boosting Machine Learning Models-Reference-Cited by-同舟云学术

Universal Model for Predicting Maximum Spreading of Drop Impact on a Smooth Surface Developed Using Boosting Machine Learning Models

Published:2023-09-06 Issue:37 Volume:62 Page:15268-15277
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Tang Jiguo¹^ORCID,Yu Shengzhi²,Hou Xiaofan²,Wu Tianhui¹,Liu Hongtao¹

Affiliation:

1. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, China

2. Wuhan Second Ship Design and Research Institute, Wuhan 430061, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c01560

Reference68 articles.

1. Drop Impact on a Solid Surface

2. Experimental study on spreading and evaporation of inkjet printed pico-liter droplet on a heated substrate

3. Dynamics of droplet impact on solid surface with different roughness

4. Review of drop impact on heated walls

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