As an effective means of mechanical failure diagnosis, oil analysis also has important application value in the field of spring machines. This method can reveal the working status and potential failures inside the machine by sampling and analyzing the oil in the hydraulic system or lubrication system of the spring machine, providing a scientific basis for maintenance and repair.
Steps of oil analysis
Sampling: Select a suitable sampling point in the hydraulic system or lubrication system of the spring machine for oil sampling. During the sampling process, care should be taken to avoid contamination and ensure the representativeness of the sample.
Pretreatment: Pre-treat the retrieved oil samples, such as filtering and dilution, for subsequent analysis.
Analysis: Spectral analysis, iron spectrum analysis, particle counting, physical and chemical property testing and other methods are used to analyze the oil samples. Among them, spectral analysis is mainly used to detect the content of metal elements in the oil, iron spectrum analysis focuses on separating and observing wear particles in the oil, and particle counting is used to evaluate the concentration of pollutants in the oil.
Diagnosis: According to the analysis results, combined with the structure and working principle of the spring machine, the wear condition, sealing performance, and possible fault types and locations of the machine can be judged.
Application of oil analysis in spring machine fault diagnosis
Wear monitoring: Through spectral analysis and ferrography analysis, the wear of internal parts of the spring machine can be monitored. For example, ferrography can separate and observe the wear particles in the oil, and judge the type and degree of wear based on the size, shape and composition of the particles. This is of great significance for timely detection and treatment of potential faults.
Fault diagnosis: Based on the results of oil analysis and the actual operation of the spring machine, the type and location of the mechanical fault can be preliminarily judged. For example, when the spectral analysis results show that the copper content in the oil is abnormally high, it may mean that the copper parts in the spring machine have wear or corrosion problems; while ferrography may further reveal the shape and source of the wear particles, providing a more specific basis for fault diagnosis.
