Multi-objective optimization of cooling and heating loads in residential buildings integrated with phase change materials using the artificial neural network and genetic …

H Bagheri-Esfeh, H Safikhani, S Motahar - Journal of Energy Storage, 2020 - Elsevier
In this paper, a multi-objective optimization was performed to achieve the minimum cooling
and heating loads in a residential building integrated with phase change material (PCM) …

[HTML][HTML] An airfoil optimization technique for wind turbines

AFP Ribeiro, AM Awruch, HM Gomes - Applied Mathematical Modelling, 2012 - Elsevier
Optimization algorithms coupled with computational fluid dynamics are used for wind
turbines airfoils design. This differs from the traditional aerospace design process since the …

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm

M Rostamzadeh-Renani, M Baghoolizadeh… - ISA transactions, 2022 - Elsevier
Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient
by efficiently directing the airflow as well as reducing the lift coefficient by enhancing down …

Design optimization of the centrifugal pumps via low fidelity models

MH Siddique, A Afzal, A Samad - Mathematical Problems in …, 2018 - Wiley Online Library
Low fidelity model assisted design optimization of turbomachines has reduced the total
computational and experimental costs. These models are called surrogate models which …

Multi-objective optimization of double suction centrifugal pump using Kriging metamodels

Y Zhang, S Hu, J Wu, Y Zhang, L Chen - Advances in Engineering Software, 2014 - Elsevier
This paper proposes a new multi-objective optimization method for a family of double
suction centrifugal pumps with various blade shapes, using a Simulation-Kriging model …

[PDF][PDF] Optimization of the Splitter Blade Configuration and Geometry of a Centrifugal Pump Impeller using Design of Experiment.

M Namazizadeh, MT Gevari… - Journal of Applied …, 2020 - researchgate.net
Centrifugal pumps are among the most applicable machines in a wide variety of industrial
systems for fluid pumping and transportation. Therefore their optimization has always been …

[HTML][HTML] Multi-objective optimization of jet pump based on RBF neural network model

K Xu, G Wang, L Zhang, L Wang, F Yun, W Sun… - Journal of Marine …, 2021 - mdpi.com
In this study, an annular jet pump optimization method is proposed based on an RBF (Radial
Basis Function) neural network model and NSGA-II (Non-Dominated Sorting Genetic …

[PDF][PDF] Internal flow structure, fault detection, and performance optimization of centrifugal pumps

ZM Tong, JG Xin, SG Tong, ZQ Yang, JY Zhao… - J. Zhejiang Univ. Sci …, 2020 - lcblzz.com
This review mainly summarizes the latest developments in the internal flow field and
external characteristics of centrifugal pumps. In particular, the latest findings of centrifugal …

Investigating the hydraulic performance of slanted axial flow pumps using an enstrophy dissipation-based hybrid optimization approach

Z Tong, Z Yang, S Tong, Z Shu, XE Cao - Physics of Fluids, 2023 - pubs.aip.org
Axial flow pumps (AFPs) are widely employed in urban flood control and drainage systems
due to its high discharge at relatively low heads. As off-design condition becomes more …

Artificial neural networks approach for a multi-objective cavitation optimization design in a double-suction centrifugal pump

W Wang, MK Osman, J Pei, X Gan, T Yin - Processes, 2019 - mdpi.com
Double-suction centrifugal pumps are widely used in industrial and agricultural applications
since their flow rate is twice that of single-suction pumps with the same impeller diameter …