TY - GEN
T1 - Edge detail analysis of wear particles
AU - Laghari, Mohammad Shakeel
AU - Hassan, Ahmed
AU - Noman, Mubashir
N1 - Publisher Copyright:
Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
PY - 2021
Y1 - 2021
N2 - 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).
AB - 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).
KW - Contour Points Angle
KW - Edge Details Analysis
KW - Tribology
KW - Wear Debris Classification
UR - http://www.scopus.com/inward/record.url?scp=85111743089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111743089&partnerID=8YFLogxK
U2 - 10.5220/0010584105500557
DO - 10.5220/0010584105500557
M3 - Conference contribution
AN - SCOPUS:85111743089
T3 - Proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021
SP - 550
EP - 557
BT - Proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021
A2 - Fill, Hans-Georg
A2 - van Sinderen, Marten
A2 - Maciaszek, Leszek
A2 - Maciaszek, Leszek
PB - SciTePress
T2 - 16th International Conference on Software Technologies, ICSOFT 2021
Y2 - 6 July 2021 through 8 July 2021
ER -