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Tytuł artykułu

Modeling the shape of wheat kernels with the use of solids of revolution

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Modelowanie kształtu ziarna pszenicy za pomocą brył obrotowych
Języki publikacji
EN
Abstrakty
EN
Numerical models approximating a kernel shape in wheat cv. Eta were developed with the use of a 3D scanner and applied to analyze selected geometric properties of wheat kernels. Geometric models were built in ScanStudio HD PRO, FreeCAD, and MeshLab programs. Ten geometric models describing the shape of wheat kernels were generated with the use of basic geometric figures and drawing tools in FreeCAD. The geometry of numerical models and geometric models was compared in GOM Inspect. The surface area, volume, and accurate geometric dimensions of the developed models were determined. Deviations in the dimensions of geometric models were mapped. The relative error of surface area measurements was the lowest in solid of revolution obtained by rotating a polygonal chain around an axis at 0.36%. The relative error of measurement reached 4.44% in sphere and around 5% in solid of revolution obtained by rotating two curves around an axis and solid of revolution obtained by rotating three curves around an axis. The relative error of volume measurements was the lowest in rotational ellipsoid (spheroid) and ellipsoid at 3.58% and 4.48%, respectively. The developed geometric models can be used in research and design.
PL
Celem pracy było zbudowanie za pomocą skanera 3D modeli numerycznych ziarna pszenicy odmiany Eta oraz wykorzystanie tych modeli do analizy wybranych cech geometrycznych. Do budowy modeli geometrycznych wykorzystano programy komputerowe ScanStudio HD PRO, FreeCAD oraz MeshLab. Za pomocą podstawowych brył geometrycznych oraz dostępnych funkcji rysunkowych w programie FreeCAD zbudowano dziesięć modeli geometrycznych o kształcie zbliżonym do ziarna pszenicy. Porównanie geometrii modeli numerycznych i modeli geometrycznych wykonano programem GOM Inspect. Określano pole powierzchni, objętość oraz dokładne wymiary geometryczne modeli. Wykonano mapy odchyłek wymiarów dla badanych modeli geometrycznych. Błąd względny pomiaru pola powierzchni dla modelu geometrycznego zbudowanego jako bryła obrotowa na podstawie obrysu wykonanego za pomocą łamanej był najmniejszy i wynosił 0,36%. Błąd względny dla kuli wynosił 4,44%. Błąd względny dla modelu geometrycznego zbudowanego jako bryła obrotowa z wykorzystaniem obrysu wykonanego za pomocą dwóch łuków oraz modelu geometrycznego zbudowanego jako bryła obrotowa z wykorzystaniem obrysu wykonanego za pomocą trzech łuków wynosił około 5%. Błąd metody pomiaru objętości jest najmniejszy dla elipsoidy obrotowej oraz elipsoidy i wynosił odpowiednio 3,58% i 4,48%. Zaproponowane modele geometryczne można wykorzystać w pracach badawczych i projektowych.
Rocznik
Strony
187--202
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
  • Department of Heavy-Duty Machines and Research Methodology, University of Warmia and Mazury in Olsztyn, ul. M. Oczapowskiego 11, 10-736 Olsztyn, Poland
Bibliografia
  • Anders, A., Markowski, P., Kaliniewicz, Z. (2015). Numerical modelling of agricultural products on the example of bean and yellow lupine seeds. International Agrophysics, 29(4), 397-403.
  • Ayr, U., Tamborrino, A., Catalano, P., Bianchi, B., Leone, A. (2015). 3D computational fluid dynamics simulation and experimental validation for prediction of heat transfer in a new malaxer machine. Journal of Food Engineering, 154, 30-38.
  • Balcerzak, K., Weres, J., Górna, K., Idziaszek, P. (2015). Modeling of agri-food products on the basis of solid geometry with examples in autodesk 3ds Max and finite element mesh generation. Journal of Research and Applications in Agricultural Engineering, 60(2), 5-8.
  • Becerra, L. D., Zuluaga, M., Mayorga, E. Y., Moreno, F. L., Ruíz, R. Y., Escobar, S. (2022). Cocoa seed transformation under controlled process conditions: Modelling of the mass transfer of organic acids and reducing sugar formation analysis. Food and Bioproducts Processing, 136, 211-225.
  • Binelo, M. O., de Lima, R. F., Khatchatourian, O. A., Stransky, J. (2019). Modelling of the drag force of agricultural seeds applied to the discrete element method. Biosystems Engineering, 178, 168-175.
  • Boryga, M., Kołodziej, P. (2022). Reverse Engineering in Modeling Agricultural Products. Agricultural Engineering, 26(1), 105-117.
  • Caiyun, L., Zhen, G., Hongwen, L., Jin, H., Qingjie, W., Xuyang, W., Xiuhong, W., Shan, J., Jing, X., Dong, H., Yunxiang, L. (2023). An ellipsoid modelling method for discrete element simulation of wheat seeds. Biosystems Engineering 226, 1-15.
  • Datta, A.K., Halder, A. (2008). Status of food process modeling and where do we go from here (synthesis of the outcome from brainstorming). Comprehensive Reviews in Food Science and Food Safety 7, 117-120.
  • Dongxu, Y., Jianqun, Y., Yang, W., Long, Z., Yajun, Y. (2020). A general modelling method for soybean seeds based on the discrete element method. Powder Technology, 372, 212-226.
  • Entem, E., Barthe, L., Cani, M.P., Cordier, F., Van de Panne, M. (2015). Modeling 3D animals from a side-view sketch. Computers & Graphics, 46, 221-230.
  • Favier, J.F., Abbaspour-Fard, M.H., Kremmer, M., Raji, A.O. (1999). Shape representation of axisymmetrical, non-spherical particles in discrete element simulation using multi-element model particles. Engineering Computations, 16, 467-480.
  • FreeCAD 0.20.2. 2023. https://www.freecadweb.org.
  • Gastón, A.L., Abalone, R.M., Giner, S.A. (2002). Wheat drying kinetics. Diffusivities for sphere and ellipsoid by finite elements. Journal of Food Engineering, 52(4), 313-322.
  • GOM Inspect. 2023. https://www.gom.com.
  • Goni, S,M., Purlis, E., Salvadori, V.O. (2007). Three-dimensional reconstruction of irregular foodstuffs. Journal of Food Engineering 82, 536-547.
  • Goni, S.M., Purlis, E., Salvadori, V.O. (2008). Geometry modeling of food materials from magnetic resonance imaging. Journal of Food Engineering, 88, 561-567.
  • Jancsok, P.T., Clijmans, L., Nicolai, B.M., De Baerdemaeker, J. (2001). Investigation of the effect of shape on the acoustic response of ‘conference’ pears by finite element modeling. Postharvest Biology and Technology, 23, 1-12.
  • Jian, X., Xiaoming, W., Zhenbang, Z., Weibin, W. (2020). Discrete element modeling and simulation of soybean seed using multi-spheres and super-ellipsoids. IEEE Access, 8, 222672-222683.
  • Jiangang, L., Xiangming, X., Yonghuai, L., Zexi, R., Melvyn, L. S., Liping, J., Bo, L. (2021). Quantitative potato tuber phenotyping by 3D imaging. Biosystems Engineering, 210, 48-59.
  • Kim, J., Moreira, R.G., Huang, Y., Castell-Perez, M.E. (2007). 3-D dose distributions for optimum radiation treatment planning of complex foods. Journal of Food Engineering, 79, 312-321.
  • Long, Z., Jianqun, Y., Liusuo, L., Yajun, Y., Dongxu, Y., Kai, S., Yang, W. (2021). Study on key issues in the modelling of maize seeds based on the multi-sphere method. Powder Technology, 394, 791-812.
  • Long, Z., Jianqun, Y., Yang, W., Dongxu, Y., Yajun, Y. (2020). A study on the modelling method of maize-seed particles based on the discrete element method. Powder Technology, 374, 353-376.
  • MeshLab Visual Computing Lab - ISTI - CNR. (2013). http://meshlab.sourceforge.net.
  • Mieszkalski, L. (2013). Computer-aiding of mathematical modeling of the carrot (Daucus carota L.) root shape. Annals of Warsaw University of Life Sciences – SGGW. Agriculture, 61, 17-23.
  • NextEngine User Manual. (2010). http://www.nextengine.com.
  • Pasha, M., Hare, C., Ghadiri, M., Gunadi, A., Piccione, P.M. (2016). Effect of particle shape on flow in discrete element method simulation of a rotary batch seed coater. Powder Technology, 296, 29-36.
  • Rahmi, U., Ferruh, E. (2009). Potential use of 3-dimensional scanners for food process modeling. Journal of Food Engineering, 93, 337-343.
  • Sabliov, C.M., Bolder, D., Keener, K.M., Farkas, B.E. (2002). Image processing method to determine surface area and volume of axi-symmetric agricultural products. International Journal of Food Properties, 5, 641-653.
  • Scheerlinck, N., Marquenie, D., Jancsok, P.T., Verboven, P., Moles, C.G., Banga, J.R., Nicolai, B.M. (2004). A model-based approach to develop periodic thermal treatments for surface decontamination of strawberries. Postharvest Biology and Technology, 34, 39-52.
  • Shuai, W., Zhihong, Y., Aorigele, W.Z. (2022). Study on the modeling method of sunflower seed particles based on the discrete element method. Computers and Electronics in Agriculture, 198, 1-16.
  • Sinnott, M. D., Harrison, S. M., Cleary, P. W. (2021). A particle-based modelling approach to food processing operations. Food and Bioproducts Processing, 127, 14-57.
  • Tianyue, X., Jianqun, Y., Yajun, Y., Yang, W. (2018). A modelling and verification approach for soybean seed particles using the discrete element method. Advanced Powder Technology, 29, 3274-3290.
  • Verboven, P., De Baerdemaeker, J., Nicolai, B.M. (2004). Using computational fluid dynamics to optimize thermal processes. In: Richardson. P. (Ed.), Improving the Thermal Processing of Foods. CRC Press. Boca Raton, FL, 82-102.
  • Wiącek, J., Gallego, E., Parafiniuk, P., Kobyłka, R., Banda, M., Horabik, J., Molenda, M. (2021). Experimental analysis of wheat-wall friction and grain flow in a steel silo with corrugated walls. Biosystems Engineering, 209, 216-231.
  • Xiaolong, L., Yitao, L., Qingxi, L. (2016). Simulation of seed motion in seed feeding device with DEMCFD coupling approach for rapeseed and wheat. Computers and Electronics in Agriculture, 131, 29-39.
  • Yatskul, A., Lemiere, J. P., Cointault, F. (2017). Influence of the divider head functioning conditions and geometry on the seed's distribution accuracy of the air-seeder. Biosystems Engineering, 161, 120-134.
  • Zeren, C., Jianqun, Y., Duomei, X., Yang, W., Qiang, Z., Luquan, R. (2018). An approach to and validation of maize-seed-assembly modelling based on the discrete element method. Powder Technology, 328, 167-183.
  • Zubko, V., Sirenko, V., Kuzina, T., Onychko, V., Sokolik, S., Roubik, H., Koszel, M. & Shchur, T. (2022). Modelling Wheat Grain Flow During Sowing Based on the Model of Grain with Shifted Center of Gravity. Agricultural Engineering, 26(1), 25-37.
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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c0b2f520-3574-45b0-bfb3-ddfacf387c47
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