PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
Ph.D
Saved in:
Main Author: | VINOTHKUMAR SEKAR |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Published: |
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/187245 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Numerical analysis of the s1020 airfoils in tandem under different flapping configurations
by: Lim, K.B., et al.
Published: (2014) -
Analysis of non-symmetrical flapping airfoils
by: Tay, W.B., et al.
Published: (2014) -
Analysis of Non-Symmetrical Flapping Airfoils and their Configurations
by: TAY WEE BENG
Published: (2010) -
CONTROL OF FLOW AROUND AN AEROFOIL AT LOW REYNOLDS NUMBERS USING PERIODIC SURFACE MORPHING
by: GARETH ROBERT JONES
Published: (2017) -
Numerical analysis of active chordwise flexibility on the performance of non-symmetrical flapping airfoils
by: Tay, W.B., et al.
Published: (2014)