Abstract
Background: The present research problem is the investigation of thermal behavior of double-diffusive nano-encapsulated phase change materials (NEPCMs) inside a porous H-shaped wavy cavity with two baffles at the top rib. By using accessible renewable energy sources and off-peak electricity, the application of double-diffusive NEPCM in components can lower energy consumption and interior temperature variation. Such embedded H-shaped wavy cylinder with NEPCM suspension can be applied for diversified thermal uses in cooling devices and heat exchangers. The purpose of this study is to explore the effect of geometrical change on hydro-thermal and entropy behaviors of double-diffusive NEPCM suspension within a Forchheimer-Brinkman extended Darcy medium-based H-shaped cavity with wavy walls and hot baffles at upper rib. Methods: The current problem is solved by implementing finite element method (FEM) and to estimate the values of temperature and concentration, artificial neural network (ANN)-based multi-layer perceptron (MLP) is applied. Significant Findings: The major outcomes are that the average Nusselt number whittles down by 22%, 32%, and 44% and average Sherwood number peters out by 21%, 33%, and 53% for rise in baffle length from 0.1 to 0.3, rib's size from 0.25 to 0.35 and angle from 0° to 90°, respectively. Moreover, Bejan number decreases with amplification of Raleigh number and upsurges due to augmentation of baffle length. Furthermore, mean square error for the validation data is 3.0649e-4 which shows superior ability of applied ANN-based MLP in estimating the values of temperature and concentration. Subject to proper alteration of several geometries such as baffle length, rib size, wavy wall undulation, and inclination angle, greater cooling effect of H-shaped chamber is accomplished in the presence of double diffusive NEPCM suspension applicable to lowering energy consumption and interior temperature variation thereby improving thermal performance of components.
| Original language | English |
|---|---|
| Article number | 105912 |
| Journal | Journal of the Taiwan Institute of Chemical Engineers |
| Volume | 168 |
| DOIs | |
| State | Published - Mar 2025 |
Bibliographical note
Publisher Copyright:© 2024 Taiwan Institute of Chemical Engineers
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- ANN-based MLP algorithm
- Double-diffusive NEPCMs
- Geometrical change
- Inclined H-shaped domain
- Rib and Baffle
- Wavy wall
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering
Fingerprint
Dive into the research topics of 'Analysis of thermosolutal buoyancy-driven suspension comprising nano-encapsulated phase change materials using finite element method and ANN-based MLP algorithm'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver