The oil change cycle of anti-wear hydraulic oil is crucial for the normal operation of the hydraulic system and the service life of the equipment. Failure to change the oil in time may lead to a decline in system performance and increased wear, while excessively frequent oil changes will increase costs. Therefore, it is of great significance to scientifically determine and accurately optimize the oil change cycle.
Regular testing of anti-wear hydraulic oil is an important means to scientifically determine the oil change cycle. By testing the physical and chemical performance indicators of the oil, such as viscosity, acid value, moisture, impurity content, etc., the degree of deterioration of the oil can be understood. For example, viscosity changes exceeding a certain range will affect the pressure and flow control of the hydraulic system; increased acid value indicates that the degree of oxidation of the oil is deepened and corrosive substances may be produced; excessive moisture will reduce the lubrication performance of the oil and accelerate the rusting of parts; increased impurity content will increase wear. When these indicators exceed the specified range, the anti-wear hydraulic oil should be considered for replacement.
The operating time of the equipment is an important reference for determining the oil change cycle. Generally speaking, equipment manufacturers will give a rough oil change cycle recommendation based on the design and expected use of the equipment. However, the actual working conditions also have a great impact on the oil change cycle. If the equipment is operated in a harsh environment such as high temperature, high load, and high dust, the deterioration rate of anti-wear hydraulic oil will accelerate, and the oil change cycle should be shortened accordingly. On the contrary, if the equipment operating environment is good and the load is low, the oil change cycle can be appropriately extended. Therefore, it is necessary to adjust the oil change cycle recommended by the manufacturer in combination with the actual operating conditions of the equipment.
The operating condition of the hydraulic system can also reflect whether the performance of the anti-wear hydraulic oil is good. For example, when the system has abnormal noise, vibration, pressure fluctuations, or the actuator is slow and insensitive, in addition to checking the mechanical failure of the equipment itself, it may also be caused by the decline in the performance of the anti-wear hydraulic oil. If other mechanical failure causes are excluded, and these phenomena continue to exist or gradually worsen, the anti-wear hydraulic oil may need to be replaced. In addition, observing the appearance of the oil in the oil tank, such as whether the color becomes black, turbid, and whether there is emulsification, can also be used as an auxiliary basis for judging whether oil change is needed.
In order to accurately optimize the oil change cycle, a method based on data statistics and analysis can be used. Collect information such as equipment operation time, operating parameters, oil test data, and system fault records to establish a database. By analyzing these data, find out the law between oil degradation and equipment operation, so as to formulate an oil change cycle that is more in line with the actual situation. For example, through data analysis, it is found that under certain specific working conditions, the acid value of anti-wear hydraulic oil will rise by a certain value every 1000 hours of operation. When the acid value reaches the specified upper limit, it can be determined that this is the best time to change the oil.
Online monitoring technology can be used to monitor the status of anti-wear hydraulic oil in real time, providing more timely and accurate data for accurate optimization of oil change cycles. For example, an online viscometer can monitor the viscosity changes of oil products in real time, a moisture sensor can detect the moisture content in oil in real time, and a particle counter can monitor the number and size of impurity particles in oil. These online monitoring data enable operators to understand the performance changes of anti-wear hydraulic oil in a timely manner. Once a certain indicator is found to be close to the critical value, oil changes can be arranged in advance to avoid equipment failures caused by oil degradation.
Scientific determination and precise optimization of the oil change cycle of anti-wear hydraulic oil requires comprehensive consideration of oil test results, equipment operation time and working conditions, system operation status and other factors. By establishing a data statistical analysis model and adopting online monitoring technology, the performance changes of anti-wear hydraulic oil can be more accurately grasped, and a reasonable oil change cycle can be formulated, thereby ensuring the normal operation of the hydraulic system, reducing maintenance costs, and improving the service life and operating efficiency of the equipment.
