Nugroho, Rizki Susetyo and Bahiuddin, Irfan and Prabakara, Hafizh Arsa and Chazim, Ryandhi Rofifu and Leman, Zulkarnain Ali and Ariff, Mohd Hatta Mohammed (2023) A dynamic modelling of forklift hydraulic actuator internal leakage using bond graph method. International Journal of Heavy Vehicle Systems, 30 (3). 380 – 399. ISSN 1744232X
Full text not available from this repository. (Request a copy)Abstract
This paper presents a first application of bond graph approach to model hydraulic internal leakage in an elevating movement of forklift. A mathematical model was built by considering the operation of the forklift during normal and faulty conditions. The modelled system consists of mechanical and hydraulic parts of the mechanism. The internal leakage is proposed to be added in the hydraulic system. Several parameters are tuned using constriction particle swarm optimisation (PSO) inspired by bird groups method searching for food. The analysis was carried out by considering parameters to the leakage flow system in the forklift lifting hydraulic cylinder. The simulation results show that the greater the leakage flow parameter the smaller efficiency, which is quite similar to the benchmark data from the previous study. The negative correlation between the constant representing leakage and the steady state velocities is also found based on the simulation results. © 2023 Inderscience Enterprises Ltd.
Item Type: | Article |
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Additional Information: | Cited by: 0 |
Uncontrolled Keywords: | Cylinders (shapes); Dynamics; Graph theory; Hydraulic actuators; Hydraulic equipment; Materials handling equipment; Particle swarm optimization (PSO); Bond graph; Cylinder leakage; Dynamics simulation; Elevating mechanism; Forklift; Internal leakage; Leaking parameter representation; Particle swarm; Particle swarm optimization; Swarm optimization; Transient analysis |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Vocational School |
Depositing User: | Sri JUNANDI |
Date Deposited: | 04 Nov 2024 07:28 |
Last Modified: | 04 Nov 2024 07:28 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/10502 |