Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/46809
metadata.artigo.dc.title: Modal properties of coffee plants via numerical simulation
metadata.artigo.dc.creator: Velloso, Nara Silveira
Magalhães, Ricardo Rodrigues
Santos, Fábio Lúcio
Santos, Alexandre Assis Rezende
metadata.artigo.dc.subject: Dynamic behavior
Natural frequencies
Coffee cultivation
Mechanized harvesting
Comportamento dinâmico
Frequências naturais
Café - Cultivo
Colheita mecanizada
metadata.artigo.dc.publisher: Elsevier
metadata.artigo.dc.date.issued: Aug-2020
metadata.artigo.dc.identifier.citation: VELLOSO, N. S. et al. Modal properties of coffee plants via numerical simulation. Computers and Electronics in Agriculture, [S. I.], v. 175, Aug. 2020. DOI: https://doi.org/10.1016/j.compag.2020.105552.
metadata.artigo.dc.description.abstract: Mechanized coffee harvesting is performed by machines that use the principle of mechanical vibration to detach the fruit. In this type of harvest, the machines transmit kinetic energy to the plant. Numerical simulations attached to representative models have been shown to be a viable tool for understanding the coffee harvesting process. In this sense, this study aimed to evaluate the dynamic behavior of coffee plants. For this purpose, a previously developed coffee plant model was used in numerical simulations to extract the modal properties and thus enable a better understanding of the dynamic behavior of coffee plants. The frequencies extracted from the simulations were validated with frequencies observed in laboratory tests. The frequencies found in the laboratory tests were concentrated between 10 Hz and 30 Hz. The validation of the model indicated that there is a correlation between the studied variables.
metadata.artigo.dc.identifier.uri: https://doi.org/10.1016/j.compag.2020.105552
http://repositorio.ufla.br/jspui/handle/1/46809
metadata.artigo.dc.language: en
Appears in Collections:DEG - Artigos publicados em periódicos

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