Adapting of Non-Metallic Cookware for Induction Heating Technology via Thin-Layer Non-Magnetic Conductive Coatings

Acero, Jesús (Universidad de Zaragoza) ; Lope, Ignacio (Universidad de Zaragoza) ; Carretero, C. (Universidad de Zaragoza) ; Burdío, José M. (Universidad de Zaragoza)
Adapting of Non-Metallic Cookware for Induction Heating Technology via Thin-Layer Non-Magnetic Conductive Coatings
Resumen: We analyze the feasibility of heating non-metallic cookware, unappropriate for heating by means of induced currents, with the purpose of extending the applicability range of the current induction heating cooktops. In order to turn materials as glass, ceramic, wood or plastic into suitable for the induction heating technology, we propose the use of thin layers of a metal (not necessarily a ferromagnetic material) which can be deposited on a surface by means of a thin or thick layer technology. For this purpose, the inductive performance of these layers is investigated by means of an analytical electromagnetic model, finite element simulations and experimental measurements. Calculations point out that for a specific induction arrangement working at a fixed frequency, it exists a thickness which maximizes the induction efficiency for each layer material. The suitability of this result is tested by means of a set of samples with copper thin layers whose thicknesses range from one hundred of nanometers to tens of micrometers, which are implemented using a phase vapor deposition (PVD) technology. The obtained induction efficiency and equivalent resistance are compared with those obtained with conventional ferromagnetic materials. As a proof of concept, the inner and outer bottoms of two glass pots are covered with a copper layer of 2µm, and 1.5µm , respectively, and 1 kW is inductively supplied by means of a series resonant inverter, reaching the boiling water conditions.
Idioma: Inglés
DOI: 10.1109/ACCESS.2020.2965209
Año: 2020
Publicado en: IEEE Access 8, 19313317 (2020), 11219-11227
ISSN: 2169-3536

Factor impacto JCR: 3.367 (2020)
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 65 / 162 = 0.401 (2020) - Q2 - T2
Categ. JCR: TELECOMMUNICATIONS rank: 36 / 91 = 0.396 (2020) - Q2 - T2
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 94 / 273 = 0.344 (2020) - Q2 - T2

Factor impacto SCIMAGO: 0.586 - Computer Science (miscellaneous) (Q1) - Materials Science (miscellaneous) (Q1) - Engineering (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/RTC-2017-5965-6
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2016-78358-R
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Física Aplicada (Dpto. Física Aplicada)
Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)
Área (Departamento): Área Electromagnetismo (Dpto. Física Aplicada)


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