Dynamic Behavior of Coffee Branches: an Analysis Using the Finite Element Method

Autor: Wellington Washington Andrade de Melo Junior, Fábio Lúcio Santos, Francisco Scinocca, Pablo Antunes da Rosa, Ricardo Rodrigues Magalhães
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Brazilian Archives of Biology and Technology, Vol 67 (2024)
Druh dokumentu: article
ISSN: 1678-4324
DOI: 10.1590/1678-4324-2024220331
Popis: Abstract The use of computational simulation techniques is an important tool for the coffee harvesting issues, particularly the finite element method. The method is widely used in the structural analysis of agricultural machinery, as well as in the analysis of the stresses and vibrations of coffee branches and peduncles during the harvesting process. The present study aimed to develop three-dimensional finite element models of the plagiotropic branches of the Catuaí Vermelho variety of Arabica coffee in different positions along the orthotropic branches of the plant; considering high-fidelity models. Additionally, by considering the branches’ experimental properties (physical-mechanical), the natural frequencies and vibration modes of the branches were determined by means of computer simulations. First, the geometric properties of the coffee branches were obtained by means of two images taken using a professional camera to obtain the input data of the virtual simulation. For the mechanical properties, it was used a semi-analytical digital scale, to obtain the mass of the specimens. The modulus of elasticity was determined using a universal testing machine. The variability in the simulated natural frequencies could be identified, which was on the order of 30% for the first frequency, regardless of the position of the branch in the plant. These values were lower for the other frequencies. Linear regression fits showed a coefficient of determination, and correlation tests were used to verify the relationship between the values obtained numerically and experimentally, which were validated by using experimental data using the modal analysis techniques.
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