AI-based forecasting of dynamic behaviors of Ag and ZnO nanoparticles-enhanced milk in an electromagnetic channel with exponential heating: dairy decontamination

IF 1.8 4区 物理与天体物理 Q4 CHEMISTRY, PHYSICAL
Sanatan Das, Poly Karmakar
{"title":"AI-based forecasting of dynamic behaviors of Ag and ZnO nanoparticles-enhanced milk in an electromagnetic channel with exponential heating: dairy decontamination","authors":"Sanatan Das,&nbsp;Poly Karmakar","doi":"10.1140/epje/s10189-025-00483-6","DOIUrl":null,"url":null,"abstract":"<div><p>Electromagnetic plates can be used to heat milk and other dairy products rapidly and uniformly. The use of electromagnetic fields enables precise thermal control, which is crucial for safe pasteurization while retaining the nutritional and sensory qualities of milk. This study investigates the dynamics of Ag-ZnO/milk under electromagnetic fields generated by Riga plates with exponentially decaying wall temperatures. The model includes radiation heat emission, heat sinks, and Darcy drag forces due to the porous medium. The flow is mathematically depicted through unsteady partial differential equations solved using the Laplace transform approach. Results include tabulated and graphical with an exhaustive analysis of flow entities against model parameters. Findings highlight increased milk velocity with a boosted modified Hartmann number and declined velocity with wider electrodes. An AI-powered computing approach enhances the accuracy in envisaging flow metrics, achieving 100% accuracy in training, testing, and validation phases. This research not only advances dairy processing technologies but also paves the way for innovations in food safety, nano-enhanced dairy production, and sustainable manufacturing practices.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":790,"journal":{"name":"The European Physical Journal E","volume":"48 4-5","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The European Physical Journal E","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1140/epje/s10189-025-00483-6","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Electromagnetic plates can be used to heat milk and other dairy products rapidly and uniformly. The use of electromagnetic fields enables precise thermal control, which is crucial for safe pasteurization while retaining the nutritional and sensory qualities of milk. This study investigates the dynamics of Ag-ZnO/milk under electromagnetic fields generated by Riga plates with exponentially decaying wall temperatures. The model includes radiation heat emission, heat sinks, and Darcy drag forces due to the porous medium. The flow is mathematically depicted through unsteady partial differential equations solved using the Laplace transform approach. Results include tabulated and graphical with an exhaustive analysis of flow entities against model parameters. Findings highlight increased milk velocity with a boosted modified Hartmann number and declined velocity with wider electrodes. An AI-powered computing approach enhances the accuracy in envisaging flow metrics, achieving 100% accuracy in training, testing, and validation phases. This research not only advances dairy processing technologies but also paves the way for innovations in food safety, nano-enhanced dairy production, and sustainable manufacturing practices.

Graphical abstract

基于人工智能的指数加热电磁通道中银和氧化锌纳米粒子增强牛奶动态行为预测:乳品净化
电磁板可用于快速均匀地加热牛奶和其他乳制品。使用电磁场可以实现精确的热控制,这对安全巴氏杀菌至关重要,同时保留牛奶的营养和感官品质。本文研究了Ag-ZnO/牛奶在Riga板产生的具有指数衰减壁温的电磁场下的动力学特性。该模型包括辐射放热、热沉和由于多孔介质引起的达西阻力。用拉普拉斯变换方法求解非定常偏微分方程,在数学上描述了流体的流动。结果包括表格和图形,对模型参数的流动实体进行了详尽的分析。研究结果强调,随着哈特曼数的增加,泌乳速度增加,而随着电极宽度的增加,泌乳速度下降。人工智能驱动的计算方法提高了设想流量指标的准确性,在训练、测试和验证阶段实现了100%的准确性。这项研究不仅推进了乳制品加工技术,而且为食品安全、纳米增强乳制品生产和可持续生产实践方面的创新铺平了道路。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
The European Physical Journal E
The European Physical Journal E CHEMISTRY, PHYSICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
2.60
自引率
5.60%
发文量
92
审稿时长
3 months
期刊介绍: EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems. Soft matter is a generic term for a large group of condensed, often heterogeneous systems -- often also called complex fluids -- that display a large response to weak external perturbations and that possess properties governed by slow internal dynamics. Flowing matter refers to all systems that can actually flow, from simple to multiphase liquids, from foams to granular matter. Living matter concerns the new physics that emerges from novel insights into the properties and behaviours of living systems. Furthermore, it aims at developing new concepts and quantitative approaches for the study of biological phenomena. Approaches from soft matter physics and statistical physics play a key role in this research. The journal includes reports of experimental, computational and theoretical studies and appeals to the broad interdisciplinary communities including physics, chemistry, biology, mathematics and materials science.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信