Aceh's traditional clothing is cultural heritage in Indonesia. In today's, the problem faced is the lack of media to introduce cultural heritage in Aceh. Therefore was formed a media which could recognition Acehnese traditional clothing using Augmented Reality technology. Augmented Reality technology is used to users can add virtual objects to real environments. In this research, the method used is the Hybrid Tracking method, a Hybrid Tracking method is a combination tracking system of two or more tracking techniques, hybrid tracking is used to get a better tracking system and to get tracking speeds based on better distances. The results showed that the reading of markers by the cameras was greatly influenced by distance, light intensity, marker angle, and size of the device's RAM. The closest distance from the marker to the camera that can display 3D objects is 20 cm while the farthest distance cannot display 3D objects is 100 cm. And the angle of reading the marker is only around 0° an angle of 45°. The average distance that can detect markers is 0.5 m, the average time that can be detected is 0.068 sec, and the average speed obtained is 7.505 m / sec.
Purpose
This study aims to determine the reliability assessment based on the predicted fatigue life of leaf spring under random strain loading.
Design/methodology/approach
Random loading data were extracted from three various road conditions at 200 Hz using a strain gauge for a duration of 100 s. The fatigue life was predicted using strain-life approaches of Coffin–Manson, Morrow and Smith–Watson–Topper (SWT) models.
Findings
The leaf spring had the highest fatigue life of 1,544 cycle/block under highway data compared uphill (1,299 cycle/block) and downhill (1,008 cycle/block) data. Besides that, the statistical properties of kurtosis showed that uphill data were the highest at 3.81 resulted in the presence of high amplitude in the strain loading data. For fatigue life-based reliability assessment, the SWT model provided a narrower shape compared to the Coffin–Manson and Morrow models using the Gumbel distribution. The SWT model had the lowest mean cycle to failure of 1,250 cycle/block followed by Morrow model (1,317 cycle/block) and the Coffin–Manson model (1,429 cycle/block). The SWT model considers the mean stress effects by interpreting the strain energy density that will influence the reliability assessment.
Research limitations/implications
The reliability assessment based on fatigue life prediction is conducted using the Gumbel distribution to investigate the behaviour of fatigue random loading, where most previous studies had concentrated on a Weibull distribution on random data.
Originality/value
Thus, this study proposes that the Gumbel distribution is suitable for analysing the reliability of random loading data in assessing with the fatigue life prediction of a heavy vehicle leaf spring.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.