Jun 15 2007
Leading analytical X-ray specialist, PANalytical, has published new data on the MiniPal 4 energy dispersive X-ray fluorescence (EDXRF) and Axios-Petro wavelength dispersive X-ray fluorescence (WDXRF) spectrometers that show their effectiveness and value in predictive machine maintenance programmes.
As metal surfaces within a machine undergo physical and chemical wear, trace concentrations of the component metals appear in the lubricant. Elemental analysis of the lubricating oil provides a fingerprint of the worn component and enables its rapid identification. For example, Ni and Fe levels indicate worn pistons, rings and crankshaft wear, whilst Cu and Sn are associated with bearing and bush wear.
By enabling accurate, precise quantification of wear metals in lubricating oils, PANalytical systems, such as MiniPal 4 and Axios, can help to significantly improve predictive maintenance programs and scheduled down-time planning, minimize repair costs and increase safety margins by reducing the chance of catastrophic machine failure.
New application notes illustrate the detection limits, accuracy, precision and long-term stability of MiniPal 4 and Axios. Importantly, XRF is a non-destructive technique that requires only simple sample preparation.