Optimization of parameters of a vibroconveyor system for infrared drying of soy

• Autorzy: Malkina Vira , Kiurchev Sergey , Hutsol Taras , Verkholantseva Valentуna , Kiurcheva Lyidmila , Miroshnichenko Mykola , Biliuk Mykola , Pidlisnyj Vitaliy , Gürgülü Hatice , Kowalczyk Zbigniew

Identyfikatory

DOI

10.2478/agriceng-2022-0013

Warianty tytułu

PL

Optymalizacja parametrów wibracyjnej suszarki do soi

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a method to determine the optimal parameters for the drying of soybean using a kinematic vibration dryer. Among the main parameters of the investigated vibroconveyor are heat and mass transfer, physical and mechanical. The paper presents a mathematical model of the dependence of parameters of the soybean drying process of soybean built based on experimental data obtained by organizing an effective experiment plan with a sufficiently large number of factor levels. To determine the rational parameters for drying soybean, it is important to build the most accurate and adequate mathematical model, which will determine the most accurate values of the required parameters. For this purpose, it is recommended to conduct an experiment with as many levels of factors as possible. The article proposes an experiment established on a dedicated balanced orthogonal plan, which is optimal according to the D-efficiency criterion. Based on the experimental data, an adequate mathematical model of the dependence of the drying characteristics of soybean (moisture of the processed material (%), temperature inside the product layer (°С) on the parameters – vibration amplitude (mm), distance from the conveyor surface (mm), radiation power (Wt), weight (g·min-1). Following the analysis of the constructed mathematical model, optimal parameters of the developed vibroconveyor infrared dryer were substantiated. The main characteristics of the vibroconveryor mechanism of interoperational transportation of bulk products in the working area were also determined, and a technical and economic analysis of the developed oscillatory system was conducted.

PL

W pracy zaproponowano metodę wyznaczania optymalnych parametrów suszenia soi za pomocą suszarki z funkcją kinematycznego wzbudzania drgań. Główne parametry badanego urządzenia to wymiana ciepła i masy oraz właściwości fizyczne i mechaniczne. W celu przeprowadzenia badań zbudowano model matematyczny zależności między wskaźnikami procesu suszenia soi na podstawie danych doświadczalnych uzyskanych poprzez zorganizowanie efektywnego schematu doświadczenia z odpowiednio dużą liczbą poziomów czynników. By określić racjonalne parametry suszenia soi należy zbudować jak najdokładniejszy i adekwatny model matematyczny, który wyznaczy najdokładniejsze wartości wymaganych parametrów. W artykule zaproponowano przeprowadzenie eksperymentu na specjalnie skonstruowanym zrównoważonym planie ortogonalnym, optymalnym według kryterium Defektywności. Na podstawie danych eksperymentalnych opracowano odpowiedni model matematyczny zależności charakterystyki suszenia soi (wilgotność przetwarzanego materiału (%), temperatura wewnątrz warstwy produktu (°С) od parametrów - amplitudy drgań (mm), odległości od powierzchni przenośnika taśmowego (mm), mocy promieniowania (Wt), masy (g·min-1). Analiza zaproponowanego modelu matematycznego pozwoliła uzasadnić optymalne parametry opracowanej wibrosuszarki na podczerwień, główne cechy mechanizmu wibracyjno-falowego do transportu produktów sypkich w obszarze roboczym oraz przeprowadzić analizę techniczno-ekonomiczną opracowanego systemu oscylacyjnego.

Słowa kluczowe

EN

experiment design; D-efficiency criterion; mathematical model; drying; optimization; system

PL

schemat doświadczeń; kryterium efektywności D; model matematyczny; suszenie; optymalizacja; system

• Wydawca: Polskie Towarzystwo Inżynierii Rolniczej
• Czasopismo: Agricultural Engineering
• Rocznik: 2022
• Tom: Vol. 26, No. 1
• Strony: 157--166
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Malkina Vira

• Tavria State Agrotechnological University, B. Khmelnitsky Ave.18, 72310, Melitopol, Ukraine

• https://orcid.org/0000-0002-2076-2032

autor

Kiurchev Sergey

• Tavria State Agrotechnological University, B. Khmelnitsky Ave.18, 72310, Melitopol, Ukraine

• https://orcid.org/0000-0001-6512-8118

autor

Hutsol Taras

• Polissia National University, 10008, Zhytomyr, Ukraine

• https://orcid.org/0000-0002-9086-3672

autor

Verkholantseva Valentуna

• Tavria State Agrotechnological University, B. Khmelnitsky Ave.18, 72310, Melitopol, Ukraine

• https://orcid.org/0000-0003-1961-2149

autor

Kiurcheva Lyidmila

• Tavria State Agrotechnological University, B. Khmelnitsky Ave.18, 72310, Melitopol, Ukraine

• https://orcid.org/0000-0002-8225-3399

autor

Miroshnichenko Mykola

• Tavria State Agrotechnological University, B. Khmelnitsky Ave.18, 72310, Melitopol, Ukraine

• https://orcid.org/0000-0003-4596-3110

autor

Biliuk Mykola

• Program NAWA, University of Agriculture in Krakow, Krakow, Poland

• https://orcid.org/0000-0001-6842-7746

autor

Pidlisnyj Vitaliy

• Faculty of Engineering and Technology, Higher Educational Institution "Podillia State University", Kamianets-Podilskyi, Ukraine

• https://orcid.org/0000-0002-4718-7787

autor

Gürgülü Hatice

• Department of Farm Structures and Irrigation, Faculty of Agriculture, Ege University, Izmir, Türkiye

• https://orcid.org/0000-0001-5637-7083

autor

Kowalczyk Zbigniew

• Department of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, Krakow, Poland

• https://orcid.org/0000-0001-8001-2092

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).