Mode Analysis for Prediction of Heating Patterns in Microwave Cavities Powered by Magnetron.
Saved in:
| Title: | Mode Analysis for Prediction of Heating Patterns in Microwave Cavities Powered by Magnetron. |
|---|---|
| Authors: | Carvalho, Freda1,2 carvalhofreda@gmail.com, Kotrashetti, Ashwini1,2, Bhattacharyya, Kaustubh1,3 |
| Source: | Progress in Electromagnetics Research C. 2026, Vol. 167, p39-49. 11p. |
| Subjects: | Microwave heating, Magnetrons, Superposition principle (Physics), Cavity resonators, Mode shapes, Computational electromagnetics |
| Abstract: | Microwave heating, widely employed in the food industry, offers significant advantages due to its volumetric heating capabilities. However, its efficiency is often hindered by nonuniform heating patterns. This study aims to analyse heating patterns in a rectangular, single-fed domestic microwave oven, leveraging cost-effective methodologies. Theoretical analyses, electromagnetic simulations, and experimental measurements were conducted to characterise the resonant modes within an empty cavity and with a load. The mathematical computation of multiple-mode superposition within the cavity was performed for two domestic microwave ovens. Mathematical and experimental analyses demonstrate a close agreement in results. The findings reveal that mode distribution, influenced by cavity dimensions, load properties, load placement, and magnetron characteristics, significantly impacts heating patterns. This study helps us understand that in spite of the dynamic nature of the magnetron, it is important to superimpose multiple resonant modes prevalent within the cavity to understand influences on the microwave heating pattern of any food materials. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 192721116 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Mode Analysis for Prediction of Heating Patterns in Microwave Cavities Powered by Magnetron. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Carvalho%2C+Freda%22">Carvalho, Freda</searchLink><relatesTo>1,2</relatesTo><i> carvalhofreda@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kotrashetti%2C+Ashwini%22">Kotrashetti, Ashwini</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bhattacharyya%2C+Kaustubh%22">Bhattacharyya, Kaustubh</searchLink><relatesTo>1,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2026, Vol. 167, p39-49. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Microwave+heating%22">Microwave heating</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetrons%22">Magnetrons</searchLink><br /><searchLink fieldCode="DE" term="%22Superposition+principle+%28Physics%29%22">Superposition principle (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Cavity+resonators%22">Cavity resonators</searchLink><br /><searchLink fieldCode="DE" term="%22Mode+shapes%22">Mode shapes</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+electromagnetics%22">Computational electromagnetics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Microwave heating, widely employed in the food industry, offers significant advantages due to its volumetric heating capabilities. However, its efficiency is often hindered by nonuniform heating patterns. This study aims to analyse heating patterns in a rectangular, single-fed domestic microwave oven, leveraging cost-effective methodologies. Theoretical analyses, electromagnetic simulations, and experimental measurements were conducted to characterise the resonant modes within an empty cavity and with a load. The mathematical computation of multiple-mode superposition within the cavity was performed for two domestic microwave ovens. Mathematical and experimental analyses demonstrate a close agreement in results. The findings reveal that mode distribution, influenced by cavity dimensions, load properties, load placement, and magnetron characteristics, significantly impacts heating patterns. This study helps us understand that in spite of the dynamic nature of the magnetron, it is important to superimpose multiple resonant modes prevalent within the cavity to understand influences on the microwave heating pattern of any food materials. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192721116 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2528/PIERC26011705 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 39 Subjects: – SubjectFull: Microwave heating Type: general – SubjectFull: Magnetrons Type: general – SubjectFull: Superposition principle (Physics) Type: general – SubjectFull: Cavity resonators Type: general – SubjectFull: Mode shapes Type: general – SubjectFull: Computational electromagnetics Type: general Titles: – TitleFull: Mode Analysis for Prediction of Heating Patterns in Microwave Cavities Powered by Magnetron. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Carvalho, Freda – PersonEntity: Name: NameFull: Kotrashetti, Ashwini – PersonEntity: Name: NameFull: Bhattacharyya, Kaustubh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 167 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
| ResultId | 1 |