Dynamic stability of the aerial work platform based on ZMP

Jia, Pengxiao; Li, En; Liang, Zize; Qiang, Yanhui

doi:10.1109/icicip.2012.6391539

Cited by 1 publication

(1 citation statement)

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“…In this study, building on previous studies and experiments [19,20], improvements will be made through realistic systems constructed using advanced multi-body dynamic system modelling (MSc Adams ® ). All standards, except for the wind and hand forces will be applied according to EN280 [8] regulations.…”

Section: The General Structure Of Aerial Work Platformsmentioning

confidence: 99%

Design Optimization of Moveable Moment Stabilization System for Access Crane Platforms

Ermiş

Çalışkan

Tanriverdi³

2021

Acta Polytech

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The popularity of aerial work platforms is rapidly increasing in the mechanization industry. As a result, the safety and structural strength of aerial work platforms should be prioritized.In this study, the mathematical model of a reconstructed aerial work platform was developed and a 3D model was created using the Solidworks software. A dynamic analysis was then performed to improve various structural parameters of the aerial work platform. The analysis was carried out using solid modelling, finite elements, and dynamic transient analysis. In compliance with international structural standards, the weight distribution was reconstructed after placing a mass behind the turret.The results of the dynamic transient analysis were compared with the mathematical model and validated. Then, the effect of the mass placed behind the turret on the machine was examined. The lateral tipping distance of the static work platform was found to have increased from 15.9m to 17.08 m. The structure of the aerial work platform was improved using a structural and dynamic analysis approach. It was also discovered that the machine efficiency could be further increased by ensuring that the balancing weight is moved further away from the tower centre by a hydraulic-based system and controller.

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Section: The General Structure Of Aerial Work Platformsmentioning

confidence: 99%