Standard Test Method for Determination of Wear Metals and Contaminants in Used Lubricating Oils or Used Hydraulic Fluids by Rotating Disc Electrode Atomic Emission Spectrometry.
Get more information about the standard at ASTM D6595-22.
ASTM D6595 is a test method for the determination of wear metals and contaminants in used lubricating oils and hydraulic fluids using rotating disk electrode (RDE) atomic emission spectrometry (AES). This standard is critical for monitoring the condition of equipment, detecting potential failures and supporting predictive maintenance programs in various industries. Advanced instrumentation that complies with this standard ensures accuracy and efficiency, making ASTM D6595 an indispensable tool for asset health management and operational success.
Details
ASTM D6595 describes the use of RDE-AES to quantify metal concentrations in oils and fluids, including wear metals (iron, copper, lead), impurities (silicon, sodium) and ancillary elements (zinc, calcium). In this technique, a sample is placed in the RDE spectrometer where the oil is evaporated, and the emitted light is analyzed to determine the element concentrations.
This method is particularly advantageous as it can analyze small sample volumes (typically 1-2 mL) quickly and with high sensitivity, detecting metal concentrations as low as 1 ppm. Due to its efficiency and ability to provide real-time insight into fluid conditions, it is often used for on-site and laboratory analysis.
Industries & Applications
The method is integral to industries where equipment reliability and fluid monitoring are critical:
- Oil Condition Monitoring: Supporting predictive maintenance of machinery and reducing downtime
- Lubricants and Base Oils: Monitoring wear in engines, transmissions, and hydraulic systems
- Aviation and Aerospace: Ensuring safety and performance through precise monitoring of aircraft systems
- Power Generation: Analyzing turbine and generator lubricants for early wear detection
- Marine and Shipping: Ensuring engine and system reliability in harsh operational environments