Computational Model for the Dynamic Characterisation of a Trunk Shaker
Pedro Sanchez-Cachinero,
Rafael Luque-Mohedano and
Rafael R. Sola-Guirado ()
Additional contact information
Pedro Sanchez-Cachinero: Department of Mechanics, Campus de Rabanales, University of Cordoba, 14014 Cordoba, Spain
Rafael Luque-Mohedano: Department of Mechanics, Campus de Rabanales, University of Cordoba, 14014 Cordoba, Spain
Rafael R. Sola-Guirado: Department of Mechanics, Campus de Rabanales, University of Cordoba, 14014 Cordoba, Spain
Agriculture, 2022, vol. 12, issue 12, 1-15
Abstract:
The development of trunk shaker machines over the years has been based on test-error methods in field. Mathematical or computational models have been studied with great simplifications. This paper presents a method for modelling the dynamic behaviour of a trunk shaker with a test bench. Two mass configurations were used on the test bench as well as two different vibration frequencies on the trunk shaker. Acceleration values were recorded at different points of the system. The binomial shaker-post was computationally modelled, and its dynamic response was analysed based on a modal and transient study with a series of proposed simplifications. The results of the simulations were compared with experimentally recorded acceleration values. In both cases, a linear response to mass and frequency variation was observed in the acceleration that the shaker performed. There was a high correlation in the effective accelerations (error < 4%) between experimental and computational studies measured in the trunk shaker. However, there were higher errors when the post was used in the test in the post structure points. The greatest uncertainty in the model may lie in the assumption of contact between the attachment pad and the post, but if this is not carried out, it makes convergence in the computational calculations very difficult. The method has proved its worth in determining the dynamic behaviour of these machines.
Keywords: vibration; mechanical harvesting; virtual simulation; dynamic response; CAD FEM (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2077-0472/12/12/2158/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/12/2158/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:12:p:2158-:d:1003943
Access Statistics for this article
Agriculture is currently edited by Ms. Leda Xuan
More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().