Sara I. Abdelsalam , Noura Alsedais , Abdelraheem M. Aly
{"title":"Revolutionizing bioconvection: Artificial intelligence-powered nano-encapsulation with oxytactic microorganisms","authors":"Sara I. Abdelsalam , Noura Alsedais , Abdelraheem M. Aly","doi":"10.1016/j.engappai.2024.109128","DOIUrl":null,"url":null,"abstract":"<div><p>Using incompressible smoothed particle hydrodynamics (ISPH), this study examines the bioconvection flow of oxytactic microorganisms in a porous annulus populated by nano-encapsulated phase change material (NEPCM). Artificial neural network (ANN) is joined with the ISPH method to accurately predict the values of average <span><math><mrow><mover><mrow><mi>N</mi><mi>u</mi></mrow><mo>‾</mo></mover></mrow></math></span>. Between the outside hexagonal-shaped domain and the embedded wavy cylinder, a new annulus is produced. The ranges of the pertinent parameters are wave amplitude of an embedded cylinder <span><math><mrow><mi>A</mi><mo>=</mo><mn>0.1</mn><mo>−</mo><mn>0.5</mn></mrow></math></span><em>,</em> Hartmann number <span><math><mrow><mi>H</mi><mi>a</mi><mo>=</mo><mn>0</mn><mo>−</mo><mn>80</mn></mrow></math></span>, a radius of the cylinder <span><math><mrow><msub><mi>R</mi><mrow><mi>c</mi><mi>y</mi><mi>l</mi><mi>d</mi></mrow></msub><mo>=</mo><mn>0.05</mn><mo>−</mo><mn>0.5</mn></mrow></math></span><em>,</em> Darcy number <span><math><mrow><mi>D</mi><mi>a</mi><mo>=</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>−</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup></mrow></math></span>, undulation number <span><math><mrow><msub><mi>K</mi><mrow><mi>u</mi><mi>n</mi><mi>d</mi></mrow></msub><mo>=</mo><mn>2</mn><mo>−</mo><mn>32</mn></mrow></math></span><em>,</em> bioconvection Rayleigh number <span><math><mrow><msub><mrow><mi>R</mi><mi>a</mi></mrow><mi>b</mi></msub><mo>=</mo><mn>1</mn><mo>−</mo><mn>1000</mn></mrow></math></span>, Rayleigh number <span><math><mrow><mi>R</mi><mi>a</mi><mo>=</mo><msup><mn>10</mn><mn>3</mn></msup><mo>−</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></math></span>, and Lewis number <span><math><mrow><mi>L</mi><mi>e</mi><mo>=</mo><mn>1</mn><mo>−</mo><mn>20</mn></mrow></math></span>. The regulated geometric characteristics of an embedded wavy cylinder, such as wavy amplitude, cylinder radius, and undulation numbers, have been found to contribute significantly to widening the cooling region and minimizing the oxytactic microorganisms. Hence, the embedded wavy cylinder can be applied for various thermal uses including cooling devices and heat exchangers. The average <span><math><mrow><mover><mrow><mi>N</mi><mi>u</mi></mrow><mo>‾</mo></mover></mrow></math></span> is enhanced under an increment in the geometric parameters of the embedded cylinder. Increasing Rayleigh/bioconvection Rayleigh numbers enhances the buoyancy forces that accelerate the velocity field.</p></div>","PeriodicalId":50523,"journal":{"name":"Engineering Applications of Artificial Intelligence","volume":"137 ","pages":"Article 109128"},"PeriodicalIF":8.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Applications of Artificial Intelligence","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0952197624012867","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Using incompressible smoothed particle hydrodynamics (ISPH), this study examines the bioconvection flow of oxytactic microorganisms in a porous annulus populated by nano-encapsulated phase change material (NEPCM). Artificial neural network (ANN) is joined with the ISPH method to accurately predict the values of average . Between the outside hexagonal-shaped domain and the embedded wavy cylinder, a new annulus is produced. The ranges of the pertinent parameters are wave amplitude of an embedded cylinder , Hartmann number , a radius of the cylinder , Darcy number , undulation number , bioconvection Rayleigh number , Rayleigh number , and Lewis number . The regulated geometric characteristics of an embedded wavy cylinder, such as wavy amplitude, cylinder radius, and undulation numbers, have been found to contribute significantly to widening the cooling region and minimizing the oxytactic microorganisms. Hence, the embedded wavy cylinder can be applied for various thermal uses including cooling devices and heat exchangers. The average is enhanced under an increment in the geometric parameters of the embedded cylinder. Increasing Rayleigh/bioconvection Rayleigh numbers enhances the buoyancy forces that accelerate the velocity field.
期刊介绍:
Artificial Intelligence (AI) is pivotal in driving the fourth industrial revolution, witnessing remarkable advancements across various machine learning methodologies. AI techniques have become indispensable tools for practicing engineers, enabling them to tackle previously insurmountable challenges. Engineering Applications of Artificial Intelligence serves as a global platform for the swift dissemination of research elucidating the practical application of AI methods across all engineering disciplines. Submitted papers are expected to present novel aspects of AI utilized in real-world engineering applications, validated using publicly available datasets to ensure the replicability of research outcomes. Join us in exploring the transformative potential of AI in engineering.