A data‐driven Bayesian approach for optimal dynamic product transitions
A Flores‐Tlacuahuac, LF Fuentes‐Cortés - AIChE Journal, 2024 - Wiley Online Library
In the processing industry, dynamic product transitions are essential for achieving high
product quality, minimizing the use of raw materials and energy and reducing production …
product quality, minimizing the use of raw materials and energy and reducing production …
A gradient aerodynamic optimization method based on deep learning
H Wu, R Chen, J Lou, Y You, L Huang, M Xu… - Physics of …, 2024 - pubs.aip.org
Gradient-based aerodynamic optimization methods involve complex gradient calculations
with high computational costs. To address these problems, this paper proposes a rapid deep …
with high computational costs. To address these problems, this paper proposes a rapid deep …
Development of a Performance-Based Design Technique for an Axial-Flow Fan Unit Using Airfoil Cascades Based on the Blade Strip Theory
SY Ryu, C Cheong, JW Kim, BI Park - Applied Sciences, 2024 - mdpi.com
Axial-flow fans are widely used as cooling fans in the outdoor units of split-type air
conditioners. The design of an axial-flow fan blade involves stacking several airfoils that can …
conditioners. The design of an axial-flow fan blade involves stacking several airfoils that can …
RANS representation of transition and separation over a low-Re number blade section at high angle of attack
Abstract Systems based on wind energy harvesting can successfully meet part of the
increasing green energy demand worldwide. However, wind turbines operation might be …
increasing green energy demand worldwide. However, wind turbines operation might be …