Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yican Li"'
Publikováno v:
Foods, Vol 13, Iss 3, p 434 (2024)
In this paper, the effects on drying time (Y1), the color difference (Y2), unit energy consumption (Y3), polysaccharide content (Y4), rehydration ratio (Y5), and allantoin content (Y6) of yam slices were investigated under different drying temperatur
Externí odkaz:
https://doaj.org/article/af65a8602fa646cdb410d0cc682d87b7
Publikováno v:
Water, Vol 16, Iss 3, p 380 (2024)
The hydrological system of thebasin of Lake Urmia is complex, deriving its supply from a network comprising 13 perennial rivers, along withnumerous small springs and direct precipitation onto the lake’s surface. Among these contributors, approximat
Externí odkaz:
https://doaj.org/article/28c0772eb5294615af5a2116012fafe4
Publikováno v:
Foods, Vol 12, Iss 16, p 3048 (2023)
Using hot air drying (HAD) and combined infrared hot air drying (IR-HAD) test devices, the drying kinetics, unit energy consumption, color difference values, rehydration rate, microstructure, and changes in polysaccharide and allantoin contents of ya
Externí odkaz:
https://doaj.org/article/f7fd9d45eec24c1c916a50a4bccbf682
Publikováno v:
Plants, Vol 12, Iss 12, p 2257 (2023)
A drying temperature precision control system was studied to provide technical support for developing and further proving the superiority of the variable-temperature drying process. In this study, an improved neural network (INN) proportional–integ
Externí odkaz:
https://doaj.org/article/8dad6a9a1665438bb9f6eaaa1ab9bab1
Autor:
Taoqing Yang, Xia Zheng, Sriram K. Vidyarthi, Hongwei Xiao, Xuedong Yao, Yican Li, Yongzhen Zang, Jikai Zhang
Publikováno v:
Foods, Vol 12, Iss 9, p 1897 (2023)
This study combined an artificial neural network (ANN) with a genetic algorithm (GA) to obtain the model and optimal process parameters of drying-assisted walnut breaking. Walnuts were dried at different IR temperatures (40 °C, 45 °C, 50 °C, and 5
Externí odkaz:
https://doaj.org/article/6dc16f1acbad4f57a4d0057cdfdf2ef0
Publikováno v:
Mathematical Problems in Engineering. 8/11/2022, p1-10. 10p.
Autor:
YiCan, Li1 (AUTHOR), JunHao, Wei1 (AUTHOR), Na, Pan2 (AUTHOR), Morabbi Heravi, Hakimeh3 (AUTHOR)
Publikováno v:
Mathematical Problems in Engineering. 4/30/2022, p1-15. 15p.
Publikováno v:
Plants; Volume 12; Issue 12; Pages: 2257
A drying temperature precision control system was studied to provide technical support for developing and further proving the superiority of the variable-temperature drying process. In this study, an improved neural network (INN) proportional–integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cddc36fc401202b7e784812264d8519e
Akademický článek
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Publikováno v:
Processes; Volume 10; Issue 1; Pages: 114
Processes, Vol 10, Iss 114, p 114 (2022)
Processes, Vol 10, Iss 114, p 114 (2022)
The main objective of the present work was to study the drying kinetics and obtain the optimum process parameters of cantaloupe slices using short-and medium-wave infrared radiation (SMIR) drying technology. The effect of three independent variables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c822c5d8d24036e0737bec3b4bee6c46
https://doi.org/10.3390/pr10010114
https://doi.org/10.3390/pr10010114