{"title":"粒子-水耦合快速感应加热系统的深入研究","authors":"Junfeng Lu, Hao-Han Zhang","doi":"10.1115/1.4062307","DOIUrl":null,"url":null,"abstract":"\n A particle induction heating method to promote electrical heating performance for water is studied in this paper. The method sinks metal particles (we chose Nickel particles) inside water, and uses a RF oscillating magnetic field to heat the particle bed. The heat generated on the surface of particles by electrical eddy current further raises the temperature of water. Our experimental results show that this thermal process has a remarkable high heating rate owning to the huge heat dissipation area of particles (in some experiment cases, water boils in seconds, even though the volume ratio of particle to water is only 1:89). To describe the physical nature of the process, a mathematical model is proposed. And our numerical simulation results generated from the model agrees very well with experimental data. However, some parameters used in the model are not easily obtainable for engineering application. Thereafter, to predict the temperature for the heating process, in the end of this work, an artificial intelligent neural network architecture is further proposed.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"173 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Deep Study On a Particle-Water Coupled Fast Induction Heating System\",\"authors\":\"Junfeng Lu, Hao-Han Zhang\",\"doi\":\"10.1115/1.4062307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n A particle induction heating method to promote electrical heating performance for water is studied in this paper. The method sinks metal particles (we chose Nickel particles) inside water, and uses a RF oscillating magnetic field to heat the particle bed. The heat generated on the surface of particles by electrical eddy current further raises the temperature of water. Our experimental results show that this thermal process has a remarkable high heating rate owning to the huge heat dissipation area of particles (in some experiment cases, water boils in seconds, even though the volume ratio of particle to water is only 1:89). To describe the physical nature of the process, a mathematical model is proposed. And our numerical simulation results generated from the model agrees very well with experimental data. However, some parameters used in the model are not easily obtainable for engineering application. Thereafter, to predict the temperature for the heating process, in the end of this work, an artificial intelligent neural network architecture is further proposed.\",\"PeriodicalId\":15937,\"journal\":{\"name\":\"Journal of Heat Transfer-transactions of The Asme\",\"volume\":\"173 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Heat Transfer-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062307\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Heat Transfer-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062307","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
A Deep Study On a Particle-Water Coupled Fast Induction Heating System
A particle induction heating method to promote electrical heating performance for water is studied in this paper. The method sinks metal particles (we chose Nickel particles) inside water, and uses a RF oscillating magnetic field to heat the particle bed. The heat generated on the surface of particles by electrical eddy current further raises the temperature of water. Our experimental results show that this thermal process has a remarkable high heating rate owning to the huge heat dissipation area of particles (in some experiment cases, water boils in seconds, even though the volume ratio of particle to water is only 1:89). To describe the physical nature of the process, a mathematical model is proposed. And our numerical simulation results generated from the model agrees very well with experimental data. However, some parameters used in the model are not easily obtainable for engineering application. Thereafter, to predict the temperature for the heating process, in the end of this work, an artificial intelligent neural network architecture is further proposed.
期刊介绍:
Topical areas including, but not limited to: Biological heat and mass transfer; Combustion and reactive flows; Conduction; Electronic and photonic cooling; Evaporation, boiling, and condensation; Experimental techniques; Forced convection; Heat exchanger fundamentals; Heat transfer enhancement; Combined heat and mass transfer; Heat transfer in manufacturing; Jets, wakes, and impingement cooling; Melting and solidification; Microscale and nanoscale heat and mass transfer; Natural and mixed convection; Porous media; Radiative heat transfer; Thermal systems; Two-phase flow and heat transfer. Such topical areas may be seen in: Aerospace; The environment; Gas turbines; Biotechnology; Electronic and photonic processes and equipment; Energy systems, Fire and combustion, heat pipes, manufacturing and materials processing, low temperature and arctic region heat transfer; Refrigeration and air conditioning; Homeland security systems; Multi-phase processes; Microscale and nanoscale devices and processes.