Fuzzy logic-based prediction and parametric optimizing using particle swarm optimization for performance improvement in pyramid solar still.

TOPSIS distillate productivity fuzzy rules paraffin wax silver nanoparticles

Journal

Water science and technology : a journal of the International Association on Water Pollution Research
ISSN: 0273-1223
Titre abrégé: Water Sci Technol
Pays: England
ID NLM: 9879497

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 30 05 2024
accepted: 31 07 2024
medline: 1 9 2024
pubmed: 1 9 2024
entrez: 31 8 2024
Statut: ppublish

Résumé

The primary objective of this study is to develop a robust model that employs a fuzzy logic interface (FL) and particle swarm optimization (PSO) to forecast the optimal parameters of a pyramid solar still (PSS). The model considers a range of environmental variables and varying levels of silver nanoparticles (Ag) mixed with paraffin wax, serving as a phase change material (PCM). The study focuses on three key factors: solar intensity ranging from 350 to 950 W/m

Identifiants

pubmed: 39215741
pii: wst_2024_277
doi: 10.2166/wst.2024.277
doi:

Substances chimiques

Silver 3M4G523W1G

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1321-1337

Informations de copyright

© 2024 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).

Déclaration de conflit d'intérêts

The authors declare there is no conflict.

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Auteurs

N Senthilkumar (N)

Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 602105, India.

M Yuvaperiyasamy (M)

Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 602105, India E-mail: yuvaperiyasamym4008.sse@saveetha.com.

B Deepanraj (B)

Department of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Al Khobar 31952, Saudi Arabia.

K Sabari (K)

Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 602105, India.

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