What analysis focuses on the size, frequency, shape, and composition of particles from worn parts?

Wear particle analysis is centered on examining the size, frequency, shape, and composition of particles that originate from worn parts. This type of analysis is essential in predictive maintenance and condition monitoring as it can provide valuable insights into the wear mechanisms of machinery components. By analyzing the particles generated from wear, technicians can identify the nature of the wear process—whether it is caused by abrasion, corrosion, or fatigue.

The size and shape of the particles can indicate the severity and type of wear, while the composition helps determine the source of the wear particles, which can guide maintenance decisions. For instance, finding metal particles might suggest excessive wear of bearings or gears, while non-metal particles may hint at contamination from other sources.

Vibration analysis, thermal analysis, and contamination analysis serve different purposes within the realm of maintenance and diagnostics. Vibration analysis detects imbalances or misalignments in machinery, while thermal analysis assesses temperature trends to identify issues like overheating. Contamination analysis focuses primarily on identifying and quantifying foreign substances in lubricants or fluids, rather than directly assessing the wear of parts.