Edge Detail Analysis of Wear Particles

Mohammad Laghari, Ahmed Hassan, Mubashir Noman

2021

Abstract

Tribology is the study of wear particles that are generated in all machines with interacting mechanical parts. Particles are separated from the surfaces due to friction and relative motion. These microscopic particles vary in certain characteristics of size, quantity, composition, and morphology. Wear particles or wear debris are categorized by six morphological attributes of shape, edge details, texture, color, size, and thickness ratio. Particles can be identified with the help of some or all of these attributes however, only edge details analysis is considered in this paper. The objective is to classify these particles in a coherent way based on these attributes and by using the acquired knowledge to predict wear failure modes in machinery. There are two procedures described in this work; one is the angle calculation between equidistance points on the particle boundary and the other the computation of centroids’ distance from the boundary points. These procedures will classify particle edges as smooth, rough, straight, or spherical (curved).

Paper Citation

in Harvard Style

Laghari M., Hassan A. and Noman M. (2021). Edge Detail Analysis of Wear Particles. In Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-523-4, pages 550-557. DOI: 10.5220/0010584105500557

in Bibtex Style

@conference{icsoft21,
author={Mohammad Laghari and Ahmed Hassan and Mubashir Noman},
title={Edge Detail Analysis of Wear Particles},
booktitle={Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2021},
pages={550-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010584105500557},
isbn={978-989-758-523-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Edge Detail Analysis of Wear Particles
SN - 978-989-758-523-4
AU - Laghari M.
AU - Hassan A.
AU - Noman M.
PY - 2021
SP - 550
EP - 557
DO - 10.5220/0010584105500557