A thermal error measurement system and method for gear hobbing machine tools

Abstract

The invention discloses a thermal error measurement system and method for a gear hobbing machine tool, which belongs to the field of numerically controlled machine tools, and comprises a machine tool temperature acquisition module, a workpiece temperature acquisition module, a displacement distance acquisition module, an error analysis module, a data management platform, a cloud storage platform, a scheme selection module, a user processing module and an adjustment monitoring module; the invention can generate an adjustment scheme by itself, improve the efficiency of users in processing machine tool thermal errors, effectively adjust the thermal deformation errors of the machine tool and the workpiece, improve product quality, and can adjust abnormal processes by itself, improve product productivity, without the need for staff to readjust the scheme, thereby improving the production enthusiasm of staff.

Description

Technical Field

[0001] The invention relates to the field of numerically controlled machine tools, and in particular to a thermal error measurement system and a measurement method for a gear hobbing machine tool. Background Art

[0002] The thermal error of machine tools is mainly caused by the difference between the actual response of the machine tools according to a certain operating procedure instruction and the expected response of the operating procedure due to the thermal deformation of the machine tools. Since there is a large gap between the accuracy of domestic CNC gear machine tools and foreign advanced products, and thermal error is the core element of the accuracy loss of CNC machine tools, it directly affects the tooth accuracy of the workpiece gear. The problem of accuracy reduction caused by thermal deformation is becoming increasingly prominent, so the control of thermal error will be the key technology to improve the accuracy of precision machine tools, especially precision high-speed CNC machine tools; therefore, a thermal error measurement system and measurement method for gear hobbing machine tools are invented;

[0003] After searching, Chinese patent number CN109623490A discloses a thermal error measurement system and method for machine tools. Although the invention can provide more direct, accurate and abundant test data, it cannot effectively adjust the thermal deformation errors of machine tools and workpieces, which reduces product quality and reduces the work efficiency of staff. In addition, the existing thermal error measurement system and measurement method of gear hobbing machine tools will interrupt production and reduce product productivity if process abnormalities occur during the thermal error adjustment process. At the same time, staff are required to readjust the plan, which reduces the production enthusiasm of staff. For this reason, we propose a thermal error measurement system and measurement method for gear hobbing machine tools. Summary of the invention

[0004] The purpose of the present invention is to solve the defects in the prior art and to propose a thermal error measurement system and a measurement method for a gear hobbing machine tool.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A thermal error measurement system for a gear hobbing machine tool, comprising a machine tool temperature acquisition module, a workpiece temperature acquisition module, a displacement distance acquisition module, an error analysis module, a data management platform, a cloud storage platform, a solution selection module, a user processing module and an adjustment monitoring module;

[0007] The error analysis module is respectively connected to the machine tool temperature acquisition module, the workpiece temperature acquisition module, the displacement distance acquisition module and the data management platform; the data management platform is respectively connected to the cloud storage platform, the solution selection platform and the user processing platform; the solution selection module is respectively connected to the user processing module and the adjustment monitoring module;

[0008] The user processing module includes a selection and viewing unit and an adjustment and selection unit.

[0009] Furthermore, the machine tool temperature acquisition module is used to collect the temperature of the gear hobbing machine tool in real time and generate temperature data A through data conversion processing;

[0010] The workpiece temperature acquisition module is used to collect the workpiece temperature in real time and generate temperature data B through data conversion processing;

[0011] The displacement distance acquisition module is used to measure the thermal displacement deformation of the spindle of the gear hobbing machine tool and generate displacement data through data conversion processing.

[0012] Furthermore, the error analysis module is used to receive temperature data A and temperature data B, and analyze and record the thermal error of the roller lathe. The specific analysis and recording steps are as follows:

[0013] Step 1: Classify and select temperature data A and temperature data B by fuzzy clustering method;

[0014] Step 2: Calculate the correlation coefficient values ​​of the two groups of temperature data that have been classified. The specific calculation formula is as follows:

[0015]

[0016] Among them, r ij Represents temperature data T i With T j The correlation coefficient between ik Represents temperature data T i The kth sample value of Represents temperature data T i The sample mean of , k represents the total number of samples;

[0017] Step 3: Generate an error record table by yourself, and enter each set of collected and calculated data into the error record table.

[0018] Furthermore, the data management platform is used to receive displacement data and integrate and analyze various data. The specific steps of the integration and analysis are as follows:

[0019] Step (1): receiving the correlation coefficient of displacement data and temperature data, and constructing a thermal error compensation model;

[0020] Step (2): The data management platform is connected to the Internet for communication, and relevant adjustment plans are captured based on the thermal error compensation model, while a plan list is constructed by the platform itself;

[0021] The cloud database is used to receive various data and store them in an orderly manner.

[0022] Furthermore, the selection and viewing unit is used to receive various data and select and view them by the user;

[0023] The adjustment selection unit is used to receive user selection information and generate an adjustment instruction through data conversion processing.

[0024] Furthermore, the solution selection module is used to receive an adjustment instruction and a solution list, and select and adjust the solution list according to the adjustment instruction. The specific selection and adjustment steps are as follows:

[0025] Step 1: The solution selection module selects a corresponding solution from the solution list according to the adjustment instruction;

[0026] Step 2: After the scheme selection is completed, the scheme selection module sets the scheme as the default scheme, marks the scheme usage conditions, and executes the scheme;

[0027] Step 3: If the user does not select in the solution list, the solution selection module receives the solution data sent by the user, imports it into the solution list, sets it as the default solution, and executes the solution;

[0028] The adjustment monitoring module is used to monitor the execution process of the solution in real time and adjust and optimize it. The specific steps of adjustment and optimization are as follows:

[0029] S1: Monitor the execution process of the adjustment plan in real time, generate an adjustment record sheet by itself, and enter the monitoring data into the adjustment record sheet;

[0030] S2: If there is an abnormal process in the execution process, the process information is collected, and a substitute plan is generated and executed by itself, and the user is fed back with relevant plan process adjustment information.

[0031] A method for measuring thermal errors of a gear hobbing machine tool, the specific measurement method is as follows:

[0032] (1) Arrange sensors and collect various data in real time: The staff arranges each set of sensors at the corresponding position of the gear hobbing machine and tests whether the collected data can be transmitted to the computer in real time. At the same time, the computer builds a data record table and enters each set of received data into the data record table;

[0033] (2) Thermal error analysis and construction of thermal error compensation model: The error analysis module receives the data record table and analyzes the thermal error of the gear hobbing machine tool based on each set of data. The analysis results are sent to the data management platform, which constructs a thermal error compensation model and generates a thermal error compensation adjustment plan.

[0034] (3) The user views various data and selects adjustment plans: The user selects and views various data and selects corresponding adjustment plans through the plan selection module. The plan adjustment module adjusts the plan list according to the user selection information;

[0035] (4) Collect adjustment information and update and optimize the plan: Execute the adjustment plan and monitor the plan process information in real time. At the same time, collect the adjustment information. For abnormal processes, adjust the monitoring module to optimize the task process and feedback the adjustment plan to the user.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The system of the present invention is provided with a data management platform, which receives the correlation coefficients of displacement data and temperature data, and constructs a thermal error compensation model. The data management platform is connected to the Internet for communication, and captures relevant adjustment schemes according to the thermal error compensation model, and constructs a scheme list by itself. The user selects the corresponding scheme from the scheme list through the scheme selection module. After the scheme selection is completed, the scheme selection module sets the scheme as the default scheme, marks the scheme use conditions, and executes the scheme. If the user does not select in the scheme list, the scheme selection module receives the scheme data sent by the user, imports it into the scheme list, sets it as the default scheme, and executes the scheme. The adjustment scheme can be generated by itself, which improves the efficiency of users in handling machine tool thermal errors, effectively adjusts the thermal deformation errors of machine tools and workpieces, and improves product quality.

[0038] 2. Compared with the previous manual modification scheme, the present invention allows the staff to view various data by selecting the viewing unit, and select the adjustment scheme to execute through the scheme selection module, and monitor the execution process of the adjustment scheme in real time through the adjustment monitoring module, and generate an adjustment record table by itself, and enter the monitoring data into the adjustment record table. If there is an abnormal process in the execution process, the process information is collected, and a substitute scheme is generated by itself for execution, and the user's relevant scheme process adjustment information is fed back, which can adjust the abnormal process by itself, improve product productivity, and there is no need for the staff to readjust the plan, thereby improving the production enthusiasm of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0040] Figure 1 A system block diagram of a thermal error measurement system for a gear hobbing machine tool proposed by the present invention;

[0041] Figure 2The present invention is a flowchart of a method for measuring thermal errors of a gear hobbing machine tool. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0044] Example 1

[0045] Reference Figure 1 , a thermal error measurement system for a gear hobbing machine tool, including a machine tool temperature acquisition module, a workpiece temperature acquisition module, a displacement distance acquisition module, an error analysis module, a data management platform, a cloud storage platform, a solution selection module, a user processing module and an adjustment monitoring module;

[0046] Among them, the error analysis module is communicated with the machine tool temperature acquisition module, the workpiece temperature acquisition module, the displacement distance acquisition module and the data management platform respectively; the data management platform is communicated with the cloud storage platform, the solution selection platform and the user processing platform respectively; the solution selection module is communicated with the user processing module and the adjustment monitoring module respectively; the user processing module includes a selection viewing unit and an adjustment selection unit.

[0047] The machine tool temperature acquisition module is used to collect the temperature of the gear hobbing machine tool in real time, and generate temperature data A through data conversion processing; the workpiece temperature acquisition module is used to collect the workpiece temperature in real time, and generate temperature data B through data conversion processing.

[0048] The displacement distance acquisition module is used to measure the thermal displacement deformation of the spindle of the gear hobbing machine tool, and generate displacement data through data conversion processing; the error analysis module is used to receive temperature data A and temperature data B, and analyze and record the thermal error of the roller machine tool.

[0049] Specifically, the temperature data A and the temperature data B are classified and optimized by the fuzzy clustering method through the error analysis module. After the classification and optimization is completed, the correlation coefficient values ​​of the two groups of classified temperature data are calculated respectively, and the error record table is generated automatically, and the collected and calculated groups of data are entered into the error record table.

[0050] It should be further explained that the specific calculation formula for the correlation coefficient value of the temperature data is as follows:

[0051]

[0052] Among them, r ij Represents temperature data T i With T j The correlation coefficient between ik Represents temperature data T i The kth sample value of Represents temperature data T i The sample mean of , k represents the total number of samples.

[0053] The data management platform is used to receive displacement data and integrate and analyze various data.

[0054] Specifically, the data management platform receives the correlation coefficients of displacement data and temperature data, and constructs a thermal error compensation model. The data management platform is connected to the Internet for communication, and captures relevant adjustment plans based on the thermal error compensation model, and constructs a plan list by itself.

[0055] The cloud database is used to receive various data and store them in an orderly manner.

[0056] It should be further explained that the cloud database labels each type of data separately, groups the data with the same label together, and sorts each group of data by the first letter A to Z. After the sorting is completed, the data in different groups are arranged again in the order of storage time.

[0057] The selection and viewing unit is used to receive various data and be selected and viewed by the user. The adjustment and selection unit is used to receive user selection information and generate adjustment instructions through data conversion processing.

[0058] The solution selection module is used to receive the adjustment instruction and the solution list, and select and adjust the solution list according to the adjustment instruction.

[0059] Specifically, the solution selection module selects the corresponding solution from the solution list according to the adjustment instruction. After the solution selection is completed, the solution selection module sets the solution as the default solution, marks the solution usage conditions, and executes the solution. If the user does not select it in the solution list, the solution selection module receives the solution data sent by the user, imports it into the solution list, sets it as the default solution, and executes it.

[0060] The adjustment monitoring module is used to monitor the solution execution process in real time and adjust and optimize it.

[0061] Specifically, the adjustment monitoring module is used to monitor the adjustment plan execution process in real time, and an adjustment record table is generated automatically. The monitoring data is entered into the adjustment record table. If there is an abnormal process in the execution process, the process information is collected, and a substitute plan is generated automatically for execution, and the user's relevant plan process adjustment information is fed back.

[0062] Example 2

[0063] Reference Figure 2 , a method for measuring thermal errors of gear hobbing machines, the specific steps of the thermal error measurement method are as follows:

[0064] First, deploy sensors and collect various data in real time:

[0065] Specifically, the staff arranged each set of sensors at the corresponding position of the gear hobbing machine and tested whether the collected data could be transmitted to the computer in real time. At the same time, the computer constructed a data record table and entered each set of received data into the data record table;

[0066] Secondly, thermal error analysis and construction of thermal error compensation model:

[0067] Specifically, the error analysis module receives the data record table, and analyzes the thermal error of the gear hobbing machine tool according to each set of data, and sends the analysis results to the data management platform, which builds a thermal error compensation model and generates a thermal error compensation adjustment plan;

[0068] Finally, the user views the data and selects the adjustment plan; collects adjustment information and updates and optimizes the plan:

[0069] Specifically, the user selects and views each item of data, and selects the corresponding adjustment plan through the plan selection module. The plan adjustment module adjusts the plan list according to the user's selection information, then executes the adjustment plan, and monitors the plan process information in real time. At the same time, the adjustment information is collected. For abnormal processes, the adjustment monitoring module optimizes and adjusts the task process, and feeds back the adjustment plan to the user. There is no need for the user to readjust the plan, thereby improving the production enthusiasm of the staff.

[0070] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A thermal error measurement system for a gear hobbing machine tool, characterized in that: It includes machine tool temperature acquisition module, workpiece temperature acquisition module, displacement distance acquisition module, error analysis module, data management platform, cloud storage platform, solution selection module, user processing module and adjustment monitoring module; The error analysis module is respectively connected to the machine tool temperature acquisition module, the workpiece temperature acquisition module, the displacement distance acquisition module and the data management platform; the data management platform is respectively connected to the cloud storage platform, the solution selection platform and the user processing platform; the solution selection module is respectively connected to the user processing module and the adjustment monitoring module; The user processing module includes a selection and viewing unit and an adjustment and selection unit; The machine tool temperature acquisition module is used to collect the temperature of the gear hobbing machine tool in real time and generate temperature data A through data conversion processing; The workpiece temperature acquisition module is used to collect the workpiece temperature in real time and generate temperature data B through data conversion processing; The displacement distance acquisition module is used to measure the thermal displacement deformation of the main shaft of the gear hobbing machine tool and generate displacement data through data conversion processing; The error analysis module is used to receive temperature data A and temperature data B, and analyze and record the thermal error of the roller lathe. The specific analysis and recording steps are as follows: Step 1: Classify and select temperature data A and temperature data B by fuzzy clustering method; Step 2: Calculate the correlation coefficient values ​​of the two groups of temperature data that have been classified. The specific calculation formula is as follows: （1） in, Represents temperature data and The correlation coefficient between Represents temperature data No. Sample values, Represents temperature data The sample mean of represents the total number of samples; Step 3: Generate an error record table by yourself, and enter each set of collected and calculated data into the error record table; The data management platform is used to receive displacement data and integrate and analyze various data. The specific steps of the integration and analysis are as follows: Step (1): receiving the correlation coefficient of displacement data and temperature data, and constructing a thermal error compensation model; Step (2): The data management platform is connected to the Internet, and the relevant adjustment plan is captured according to the thermal error compensation model, and a plan list is constructed by itself; The cloud database is used to receive various data and store them in an orderly manner; The measurement method steps are as follows: (1) Arrange sensors and collect various data in real time: The staff arranges each set of sensors at the corresponding position of the gear hobbing machine and tests whether the collected data can be transmitted to the computer in real time. At the same time, the computer builds a data record table and enters each set of received data into the data record table; (2) Thermal error analysis and construction of thermal error compensation model: The error analysis module receives the data record table and analyzes the thermal error of the gear hobbing machine tool based on each set of data. The analysis results are sent to the data management platform, which constructs a thermal error compensation model and generates a thermal error compensation adjustment plan. (3) The user views various data and selects adjustment plans: The user selects and views various data and selects the corresponding adjustment plan through the plan selection module. The plan adjustment module adjusts the plan list based on the user selection information; (4) Collect adjustment information and update and optimize the plan: Execute the adjustment plan and monitor the plan process information in real time. At the same time, collect the adjustment information. For abnormal processes, adjust the monitoring module to optimize the process and feedback the adjustment plan to the user.

2. A thermal error measurement system for a gear hobbing machine tool according to claim 1, characterized in that: The selection and viewing unit is used to receive various data and be selected and viewed by the user; The adjustment selection unit is used to receive user selection information and generate an adjustment instruction through data conversion processing.

3. A thermal error measurement system for a gear hobbing machine tool according to claim 2, characterized in that: The scheme selection module is used to receive the adjustment instruction and the scheme list, and select and adjust the scheme list according to the adjustment instruction. The specific selection and adjustment steps are as follows: Step 1: The solution selection module selects a corresponding solution from the solution list according to the adjustment instruction; Step 2: After the scheme selection is completed, the scheme selection module sets the scheme as the default scheme, marks the scheme usage conditions, and executes the scheme; Step 3: If the user does not select in the solution list, the solution selection module receives the solution data sent by the user, imports it into the solution list, sets it as the default solution, and executes the solution; The adjustment monitoring module is used to monitor the execution process of the solution in real time and adjust and optimize it. The specific steps of adjustment and optimization are as follows: S1: Monitor the execution process of the adjustment plan in real time, generate an adjustment record sheet by itself, and enter the monitoring data into the adjustment record sheet; S2: If there is an abnormal process in the execution process, the process information is collected, and a substitute plan is generated and executed by itself, and the user is fed back with relevant plan process adjustment information.

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