Marco Fiore, N. D. Modugno, Francesco Pellegrini, Mariagrazia Roselli
{"title":"SOLID-STATE MICROWAVE PROCESSOR FOR FOOD TREATMENT","authors":"Marco Fiore, N. D. Modugno, Francesco Pellegrini, Mariagrazia Roselli","doi":"10.4995/ampere2019.2019.9862","DOIUrl":null,"url":null,"abstract":"Uneven heating and hot spots, irregular matching conditions and deterioration of organoleptic qualities are typical drawbacks of magnetron-based food processing with microwave radiation. The proposed “Kopernicook” modular architecture, based on multiple solid-state generators governed by a distributed software platform, allows highly accurate parametric control, full customization of radiation patterns and dynamic self-regulating workflows. The first results, validated with industrial applications, show great flexibility of operation, optimal energy consumption and different ideas for future developments in terms of radiation patterns and feedback-triggered algorithms aimed at maximally efficient processes.","PeriodicalId":277158,"journal":{"name":"Proceedings 17th International Conference on Microwave and High Frequency Heating","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 17th International Conference on Microwave and High Frequency Heating","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4995/ampere2019.2019.9862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Uneven heating and hot spots, irregular matching conditions and deterioration of organoleptic qualities are typical drawbacks of magnetron-based food processing with microwave radiation. The proposed “Kopernicook” modular architecture, based on multiple solid-state generators governed by a distributed software platform, allows highly accurate parametric control, full customization of radiation patterns and dynamic self-regulating workflows. The first results, validated with industrial applications, show great flexibility of operation, optimal energy consumption and different ideas for future developments in terms of radiation patterns and feedback-triggered algorithms aimed at maximally efficient processes.