Mechanical simulation and installation position optimisation of a lifting cylinder of a scissors aerial work platform. Issue 13 (5th November 2018)

• Record Type: Journal Article
• Authors: He, Shanghong; Ouyang, Min; Gong, Jianqiu; Liu, Guoliang
• Is Part Of: Journal of engineering. Volume 2019:Issue 13(2019)
• Page Start: 74
• Page End: 78
• Publication Date: 2018-11-05
• Subjects: hydraulic systems -- mechanical engineering computing -- fatigue -- design engineering -- lifting -- structural engineering -- finite element analysis; mechanical simulation -- lifting cylinder -- scissors aerial work platform -- installation position parameters -- lifting system -- AMESim simulation model -- lifting process; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8961
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : The force of a lifting cylinder is the main factor of the alternating stress of scissors arms in a scissors aerial work platform, which seriously affects the fatigue life of structures. Aiming at this problem, the installation position parameters that affect the force of the lifting cylinder was simulated and optimised. First, the mechanical model of the lifting system was established based on the principle of virtual work, and the position parameters that affect the force of lifting cylinder were determined. Then, the advanced modeling environment for performing simulation of engineering systems (AMESim) simulation model was used to simulate the lifting process of the lifting system, and the reliability of the simulation model was verified by the pressure test of the hydraulic system. Finally, based on the simulation model, the design of experiment method was used to optimise the installation position of the lifting cylinder in the design and development environment of AMESim, and the optimisation effect was verified through the test on a real vehicle. The result shows that the peak load of the lifting cylinder is reduced by ∼12%, and the average of the steady‐state value decreases by ∼20% after the installation position is optimised.