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Title: Wireless metal detection and surface coverage sensing for all-surface induction heating
Authors: Kilic, Veli Tayfun
Unal, Emre
Demir, Hilmi Volkan
Keywords: Metal Detection
DRNTU::Engineering::Electrical and electronic engineering
Electromagnetic Induction
Issue Date: 2016
Source: Kilic, V., Unal, E., & Demir, H. (2016). Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating. Sensors, 16(3), 363-. doi:10.3390/s16030363
Series/Report no.: Sensors
Abstract: All-surface induction heating systems, typically comprising small-area coils, face a major challenge in detecting the presence of a metallic vessel and identifying its partial surface coverage over the coils to determine which of the coils to power up. The difficulty arises due to the fact that the user can heat vessels made of a wide variety of metals (and their alloys). To address this problem, we propose and demonstrate a new wireless detection methodology that allows for detecting the presence of metallic vessels together with uniquely sensing their surface coverages while also identifying their effective material type in all-surface induction heating systems. The proposed method is based on telemetrically measuring simultaneously inductance and resistance of the induction coil coupled with the vessel in the heating system. Here, variations in the inductance and resistance values for an all-surface heating coil loaded by vessels (made of stainless steel and aluminum) at different positions were systematically investigated at different frequencies. Results show that, independent of the metal material type, unique identification of the surface coverage is possible at all freqeuncies. Additionally, using the magnitude and phase information extracted from the coupled coil impedance, unique identification of the vessel effective material is also achievable, this time independent of its surface coverage.
ISSN: 1424-8220
DOI: 10.3390/s16030363
Schools: School of Electrical and Electronic Engineering 
School of Physical and Mathematical Sciences 
Rights: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
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