A1 Journal article (refereed), original research

Fatigue life estimation of hydraulically actuated mobile working machines using Internet of Things and Digital Twin concepts


Open Access publication

Publication Details
Authors: Zhidchenko Victor, Handroos Heikki, Kovartsev Alexander
Publisher: IOP Publishing: Conference Series
Publication year: 2019
Language: English
Related Journal or Series Information: Journal of Physics: Conference Series
Volume number: 1368
ISSN: 1742-6588
eISSN: 1742-6596
JUFO-Level of this publication: 1
Open Access: Open Access publication

Abstract

The method and its implementation are proposed that allow estimating the
fatigue life of mechanical structure of hydraulically actuated mobile
working machines. The method does not use stress or strain gauges and
relies just on the data about the pressure and position of hydraulic
cylinders actuating the machine components. These data are measured in
real-time during the machine operation and are transmitted via the
internet for the processing in the cloud. The simulation model of the
machine (Digital Twin) is used for the simulation of machine dynamics on
the basis of received data. The Digital twin provides input for the
finite-element analysis of machine's components in order to calculate
the stress history of each component. The results of these calculations
are used for fatigue life estimation of each component. Applicability of
the method is tested by comparing its results with the similar
simulation verified by experimental measurements.


Last updated on 2020-20-03 at 10:03