Induction Heating Technology and Its Applications: Past Developments, Current Technology, and Future Challenges

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2013-09-10 DOI:10.1109/TIE.2013.2281162
Oscar Lucía;Pascal Maussion;Enrique J. Dede;José M. Burdío
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引用次数: 543

Abstract

Induction heating (IH) technology is nowadays the heating technology of choice in many industrial, domestic, and medical applications due to its advantages regarding efficiency, fast heating, safety, cleanness, and accurate control. Advances in key technologies, i.e., power electronics, control techniques, and magnetic component design, have allowed the development of highly reliable and cost-effective systems, making this technology readily available and ubiquitous. This paper reviews IH technology summarizing the main milestones in its development and analyzing the current state of art of IH systems in industrial, domestic, and medical applications, paying special attention to the key enabling technologies involved. Finally, an overview of future research trends and challenges is given, highlighting the promising future of IH technology.
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感应加热技术及其应用:过去的发展、当前的技术和未来的挑战
感应加热技术以其高效、快速加热、安全、清洁和精确控制等优点,成为当今许多工业、家庭和医疗应用的首选加热技术。关键技术的进步,即电力电子、控制技术和磁性部件设计,使得开发出了高度可靠和成本效益高的系统,使这项技术变得容易获得并无处不在。本文回顾了IH技术,总结了其发展中的主要里程碑,并分析了IH系统在工业、国内和医疗应用中的最新技术,特别关注了所涉及的关键使能技术。最后,概述了未来的研究趋势和挑战,强调了IH技术的前景。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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