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Hydraulic system fault inspection of automatic sand casting molding machine

Date: 2024-08-26   Views: 61

If the hydraulic system of the green automatic sand molding machine is not properly maintained during production and use, various malfunctions may occur. For example, oil pollution may cause pressure, flow, or directional faults in hydraulic systems, making it difficult to diagnose hydraulic system failures. Below, we will analyze how to perform fault analysis and queuing for hydraulic systems in automatic sand molding machines.

Up and down sand shooting automatic sand molding machine

1.General principles of fault diagnosis

Most hydraulic system failures in automatic sand casting molding machine do not occur suddenly. There is always a warning before it appears. If this warning is not noticed, there will be some degree of malfunction when it develops. The causes of hydraulic system failures are multifaceted rather than random. In order to quickly and accurately diagnose faults and fully understand the characteristics and patterns of hydraulic faults:

(1)Check the working environment of the hydraulic system

The hydraulic system needs to work properly and requires a certain working environment and working conditions as a platform. Therefore, at the beginning of fault diagnosis, the first step is to judge and determine whether the working conditions and surrounding environment of the hydraulic system are normal, and promptly correct the unqualified working environment and conditions.

(2) Identify the area where the malfunction occurred

When determining the location of a fault, the relevant faults in the area should be determined based on the symptoms and characteristics of the fault. The scope of the fault should be gradually narrowed down, the cause of the fault should be analyzed, and the specific location of the fault should be discovered to simplify complex problems.

(3) Establish good operation records

Fault diagnosis is based on operational records and some system parameters. The establishment of system operation records is an important basis for preventing, detecting, and handling faults. Establishing a device operation fault analysis table helps to quickly identify the fault phenomenon.

(4)Traditional fault diagnosis methods

The logical analysis method is a traditional approach for diagnosing hydraulic system faults. This method is achieved through comprehensive analysis and state judgment, that is, maintenance personnel understand the basic principles of hydraulic systems through "seeing", "listening", "touching", "sniffing", and simple testing, and judge faults and their causes through work experience. 


The specific method of this method is that when the hydraulic system malfunctions, there are multiple possible causes of the malfunction. Usually, logical algebra is used to list possible reasons for failure, and then logical judgments are made one by one according to the principle of easy first and difficult later.



2.Fault diagnosis method based on parameter measurement

The cause of hydraulic system failure in automatic sand casting molding machine is abnormal changes in system operating parameters. Therefore, when a hydraulic system malfunctions, it must be a malfunction of certain components or components within the system. That is to say, some parameters deviate from the specified values. Through parameter measurement and logical analysis, faults can be quickly and accurately detected.

Parameter measurement can not only diagnose system faults, but also predict possible faults. Moreover, this prediction and diagnosis are quantitative, greatly improving the speed and accuracy of diagnosis. This type of detection is directly measured, with fast detection speed, small error, simple detection equipment, and is suitable for the detection of any hydraulic system. During measurement, there is no need to stop or damage the hydraulic system. Almost any part of the system can be inspected, not only diagnosing faults that have occurred, but also conducting online monitoring to predict potential faults.


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