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http://dx.doi.org/10.5762/KAIS.2017.18.6.21

Kinematics and Structural Analysis for Optimization of an Electro-Hydraulic Sliding Deck Systems  

Moon, Hyeok-Joo (Mechanical System Engineering, Chonbuk National University)
Ryuh, Beom-Sahng (Mechanical System Engineering, Chonbuk National University &Automotive Technology Research Center, Chonbuk National University)
Oh, Young-Sup (Mechanical System Engineering, Chonbuk National University)
Kim, Man-Jung (Mechanical System Engineering, Chonbuk National University)
Lee, Jung-hun (Mechanical System Engineering, Chonbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.6, 2017 , pp. 21-28 More about this Journal
Abstract
Electro-hydraulic sliding deck systems have been developed to reduce the weight for the loading of an agricultural machine. The extension length of the sliding deck was calculated according to the bed's dump angle. The optimum thickness and material were determined using a large and heavy load at acceptable angles. In addition, the degrees of freedom were calculated to obtain the input/output relationship of the system. An equation was derived using a simplified model formula for the extended length of the sliding deck according to the bed's dump angle. Also, the advance length at the maximum and minimum angles of the system was determined using numerical analysis. A down-scaled model of the system was constructed and verified by experiments. The deck was simplified to determine the material and thickness of the sliding deck and for the selection of the two representative materials. The simplified model was tested in deformation tests and stress tests with different thicknesses and materials using a structure analysis program. The analysis results show that ATOS80 is the best among the two materials for reducing the weight of the system.
Keywords
Dumping Bed; Numerical Analysis; Sliding Deck; Structural Analysis; Weight Lightening;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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