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Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating

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...

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Autores principales: Kilic, Veli Tayfun, Unal, Emre, Demir, Hilmi Volkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813938/
https://www.ncbi.nlm.nih.gov/pubmed/26978367
http://dx.doi.org/10.3390/s16030363
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author Kilic, Veli Tayfun
Unal, Emre
Demir, Hilmi Volkan
author_facet Kilic, Veli Tayfun
Unal, Emre
Demir, Hilmi Volkan
author_sort Kilic, Veli Tayfun
collection PubMed
description 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.
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spelling pubmed-48139382016-04-06 Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating Kilic, Veli Tayfun Unal, Emre Demir, Hilmi Volkan Sensors (Basel) Article 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. MDPI 2016-03-11 /pmc/articles/PMC4813938/ /pubmed/26978367 http://dx.doi.org/10.3390/s16030363 Text en © 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kilic, Veli Tayfun
Unal, Emre
Demir, Hilmi Volkan
Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title_full Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title_fullStr Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title_full_unstemmed Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title_short Wireless Metal Detection and Surface Coverage Sensing for All-Surface Induction Heating
title_sort wireless metal detection and surface coverage sensing for all-surface induction heating
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813938/
https://www.ncbi.nlm.nih.gov/pubmed/26978367
http://dx.doi.org/10.3390/s16030363
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