A machine tool tool magazine precision predictive diagnosis detection method

Abstract

A machine tool tool magazine precision predictive diagnosis detection method, comprising the following steps: step one: add machine tool tool changing instruction detection scanning program in machine tool PLC program, start to execute tool magazine precision pre-diagnosis logic when automatic tool changing M06 instruction is detected, and the precision error of tool changing is divided into X, Y, Z three directions; Step two: use PLC scanning to monitor the current value of Z direction when the spindle loosens the tool in the automatic tool changing program, monitor the current value of X, Y direction when the spindle clamps the tool; Step three: compare the current value with the current value model parameter collected when each servo shaft is stable, and set the current fluctuation tolerance range parameter value; Step four: judge whether the current disturbance value exceeds the set tolerance range parameter value; Step five: if the current disturbance exceeds the tolerance range, output the prompt information that needs to maintain and adjust the precision in the system prompt box, if the current value does not exceed the current fluctuation tolerance value, return to the step one and wait for the next tool changing signal.

Description

Technical Field

[0001] This invention relates to a process for detecting the accuracy of the tool change point of a machine tool magazine, specifically a predictive diagnostic detection method for the accuracy of a machine tool magazine. Background Technology

[0002] In the current machine tool industry, core and critical components are relatively expensive and complex in structure, resulting in high maintenance costs. Once a fault or problem occurs, the costs of detection and repair are substantial. Predictive maintenance for machine tools is a maintenance strategy based on equipment status and operational data. Its concept is to predict the future development trend of each component through regular or continuous status monitoring and fault diagnosis during machine tool operation, thereby identifying potential faults and anomalies in advance and formulating corresponding maintenance plans before a fault occurs. Implementing predictive maintenance on the critical components of machine tools can detect the aging and wear trends of critical components in advance, extend the continuous trouble-free operation and service life of the equipment, reduce the frequency and difficulty of maintenance, and thus save maintenance costs for enterprises.

[0003] The detection method of this invention utilizes the internal operating data of the machine tool to achieve predictive diagnosis of tool magazine accuracy. It can detect and analyze changes in tool magazine accuracy before tool change failures occur, thereby reminding users to adjust the relevant accuracy in advance to avoid serious damage to the tool magazine and spindle due to excessive errors. Summary of the Invention

[0004] To address the problems in the existing technology, this invention provides a predictive diagnostic detection method for machine tool magazine accuracy.

[0005] The technical solution adopted by this invention to solve its technical problem is: a method for predictive diagnosis and detection of machine tool magazine accuracy, comprising the following steps:

[0006] Step 1: Add a machine tool change command detection and scanning program to the machine tool PLC program. When the automatic tool change M06 command is detected, start executing the tool magazine accuracy pre-diagnosis logic and decompose the tool change accuracy error into three directions: X, Y, and Z.

[0007] Step 2: Use a PLC to scan and monitor the current value in the Z direction when the spindle releases the tool in the automatic tool changer program, and monitor the current values ​​in the X and Y directions when the spindle jams the tool.

[0008] Step 3: Compare the current value with the current value model parameters collected in steady state for each servo axis and set the current fluctuation tolerance range parameter value;

[0009] Step 4: Determine whether the value of the current disturbance exceeds the set tolerance range parameter value;

[0010] Step 5: If the current disturbance exceeds the tolerance range, a prompt message indicating that the accuracy needs to be maintained and adjusted will be output in the system prompt box. If the current value does not exceed the current fluctuation tolerance value, return to Step 1 and wait for the next tool change signal.

[0011] Specifically, the error values ​​in the three directions during tool changing in step one are obtained by analyzing the current fluctuations of the machine tool's X, Y, and Z servo axes at the contact point between the spindle and the tool magazine.

[0012] Specifically, when the error between the actual value and the theoretical value of the tool change point in step one reaches a certain value, a certain load will be generated on the mating surface between the tapered hole and the tool holder of the spindle broaching mechanism. The load will affect the steady-state current value of each servo axis.

[0013] Specifically, when the position error of the tool change point in step four exceeds the allowable range, the value of the current disturbance will also exceed the set allowable range parameter value for current fluctuation.

[0014] Specifically, after the system prompt box in step five outputs a message indicating that the accuracy needs to be maintained and adjusted, the operator handles the issues in the prompt message.

[0015] As can be seen from the above description of the present invention, compared with the prior art, the beneficial effects of the present invention are: the predictive diagnostic detection method discovers problems and provides prompts, making it relatively easy to handle accuracy problems, reducing adjustment time, and discovering problems earlier before serious wear and tear on the hardware occurs. This can extend the service life of the spindle and tool magazine, reduce the number and difficulty of maintenance, and thus save maintenance costs for enterprises. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0017] Figure 1 This is a flowchart of the detection procedure of the present invention;

[0018] Figure 2 This is a schematic diagram of the hardware structure of the present invention.

[0019] In the diagram: 1. Tool magazine; 2. Spindle; 3. Taper hole and tool holder. Detailed Implementation

[0020] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0021] like Figure 1 As shown in Figure 3, the machine tool tool magazine accuracy prediction and diagnostic detection method of the present invention includes the following steps:

[0022] Step 1: Add a machine tool change command detection and scanning program to the machine tool PLC program. When the automatic tool change M06 command is detected, start executing the tool magazine accuracy pre-diagnosis logic and decompose the tool change accuracy error into three directions: X, Y, and Z.

[0023] Step 2: Use PLC to scan and monitor the current value in the Z direction when the spindle releases the tool in the automatic tool changer program, and monitor the current values ​​in the X and Y directions when the spindle jams the tool.

[0024] Step 3: Compare the current value with the current value model parameters collected in steady state for each servo axis and set the current fluctuation tolerance range parameter value;

[0025] Step 4: Determine whether the value of the current disturbance exceeds the set tolerance range parameter value;

[0026] Step 5: If the current disturbance exceeds the tolerance range, a prompt message indicating that the accuracy needs to be maintained and adjusted will be output in the system prompt box. If the current value does not exceed the current fluctuation tolerance value, return to Step 1 and wait for the next tool change signal.

[0027] Specifically, the error values ​​in the three directions during tool changing in step one are obtained by analyzing the current fluctuations of the X, Y, and Z servo axes of the machine tool at the contact time point between the spindle 2 and the tool magazine 1.

[0028] Specifically, when the error between the actual value and the theoretical value of the tool change point in step one reaches a certain value, a certain load will be generated on the mating surface between the tapered hole of the spindle 2 drawbar mechanism and the tool holder 3. The load will affect the steady-state current value of each servo axis.

[0029] Specifically, when the position error of the tool change point of the tool magazine 1 exceeds the tolerance range in step four, the value of the current disturbance will also exceed the set current fluctuation tolerance range parameter value.

[0030] Specifically, after the system prompt box in step five outputs a message indicating that the accuracy needs to be maintained and adjusted, the operator handles the issues in the prompt message.

[0031] By using the aforementioned predictive diagnostic detection methods to identify problems and provide alerts, it becomes relatively easy to handle accuracy issues, reduces adjustment time, and allows for early detection before serious hardware wear occurs. This extends the lifespan of the spindle and tool magazine, reduces the frequency and difficulty of maintenance, and ultimately saves maintenance costs for the company.

[0032] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0033] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for predictive diagnostic testing of machine tool magazine accuracy, characterized in that, Includes the following steps: Step 1: Add a machine tool change command detection and scanning program to the machine tool PLC program. When the automatic tool change M06 command is detected, start executing the tool magazine accuracy pre-diagnosis logic and decompose the tool change accuracy error into three directions: X, Y, and Z. Step 2: Use PLC to scan and monitor the current value in the Z direction when the spindle releases the tool in the automatic tool changer program, and monitor the current values ​​in the X and Y directions when the spindle jams the tool. Step 3: Compare the current value with the current value model parameters collected in steady state for each servo axis and set the current fluctuation tolerance range parameter value; Step 4: Determine whether the value of the current disturbance exceeds the set tolerance range parameter value; Step 5: If the current disturbance exceeds the tolerance range, a prompt message indicating that the accuracy needs to be maintained and adjusted will be output in the system prompt box. If the current value does not exceed the current fluctuation tolerance value, return to Step 1 and wait for the next tool change signal.

2. The method for predictive diagnostic testing of machine tool magazine accuracy according to claim 1, characterized in that: The error values ​​in the three directions during tool change in step one are obtained by analyzing the current fluctuations of the X, Y, and Z servo axes of the machine tool at the contact time between the spindle (2) and the tool magazine (1).

3. The method for predictive diagnostic testing of machine tool magazine accuracy according to claim 2, characterized in that: Place Narrative When the error between the actual value and the theoretical value of the tool change point in step one reaches a certain value, the contact surface between the tapered hole of the spindle (2) and the tool holder (3) will generate a certain load, which will affect the steady-state current value of each servo axis.

4. The machine tool tool magazine accuracy predictive diagnostic detection method according to claim 2, characterized in that: When the position error of the tool change point of the tool magazine (1) in step four exceeds the tolerance range, the value of the current disturbance will also exceed the set current fluctuation tolerance range parameter value.

5. The method for predictive diagnostic testing of machine tool magazine accuracy according to claim 1, characterized in that: In step five, after the system prompts that the accuracy needs to be maintained and adjusted, the operator should address the issues raised in the prompt.

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