Multi-scale collaborative design method for macroscopic thermal optimization and mesoscopic woven structure of hypersonic vehicle’s TOCMC leading edge

ZHAO, Chenwei; TU, Zecan; MAO, Junkui; HUI, Jian; CHEN, Pingting

doi:10.1016/j.cja.2024.01.003

Chinese Journal of Aeronautics

2024

DOI: 10.1016/j.cja.2024.01.003

|View full text |Cite

Multi-scale collaborative design method for macroscopic thermal optimization and mesoscopic woven structure of hypersonic vehicle’s TOCMC leading edge

Chenwei ZHAO,

Zecan TU,

Junkui MAO

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

Liang,

Li,

et al. 2024

International Journal of Heat and Mass Transfer

View full text Add to dashboard Cite

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

Liang,

Li,

et al. 2024

International Journal of Heat and Mass Transfer

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Multi-scale collaborative design method for macroscopic thermal optimization and mesoscopic woven structure of hypersonic vehicle’s TOCMC leading edge

Cited by 1 publication

References 53 publications

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

Contact Info

Product

Resources

About