128225 20241125101202.0 doi 10.1016/j.jfoodeng.2023.111697 sideral 135553 ART-2023-135553 eng Cabeza-Gil, Iulen Universidad de Zaragoza (orcid)0000-0001-8219-2365 Digital twins for monitoring and predicting the cooking of food products: A case study for a French crêpe 2023 Access copy available to the general public Unrestricted The food industry is shifting toward automated and customized processes, leading to the emergence of smart cooking devices that improve cooking outcomes. However, these devices can be invasive, costly, and only applicable to certain foods. To address these issues, a noninvasive digital twin that monitors food during cooking using a common frying pan with a temperature sensor and a weighing scale is proposed. A case study for a French crêpe is presented, in which we developed a digital twin using a neural network trained on over 400,000 simulation data points. The results show that the digital twin can accurately estimate the properties of the crêpe during cooking in real time with a mean absolute percentage error of less than 5% and predict when it will be cooked according to user criteria. The approach offers significant benefits over existing smart cooking devices, as it can be applied to a wide range of cooking processes. The proposed technology enables food process automation and has potential applications in both home and professional kitchens. info:eu-repo/grantAgreement/EUR/AEI/CPP2021-008938 info:eu-repo/grantAgreement/ES/DGA/T07-23R info:eu-repo/grantAgreement/ES/DGA/T24-23R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 5.3 2023 FOOD SCIENCE & TECHNOLOGY 28 / 173 = 0.162 2023 Q1 T1 ENGINEERING, CHEMICAL 33 / 170 = 0.194 2023 Q1 T1 1.158 2023 Food Science 2023 Q1 11.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ríos-Ruiz, Itziar Universidad de Zaragoza (orcid)0000-0003-4128-2836 Martínez, Miguel Ángel Universidad de Zaragoza (orcid)0000-0002-8375-0354 Calvo, Begoña Universidad de Zaragoza (orcid)0000-0001-9713-1813 Grasa, Jorge Universidad de Zaragoza (orcid)0000-0002-6870-0594 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 359 (2023), 111697 [12 pp.] J. food eng. JOURNAL OF FOOD ENGINEERING 0260-8774 3266555 http://zaguan.unizar.es/record/128225/files/texto_completo.pdf Versión publicada 2790727 http://zaguan.unizar.es/record/128225/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128225 articulos driver 2024-11-22-12:12:15 ARTICLE