Intelligent control method for numerical control machine tool production line

Abstract

The invention discloses an intelligent control method for a numerical control machine tool production line, which relates to the technical field of numerical control machine tool control, and comprises the following steps: extracting the initial highest temperature and the initial lowest temperature of each group of parts, capturing the machining highest temperature and the machining lowest temperature of the parts under different machining parameters, and outputting corresponding variable machining parameters; the high-temperature influence coefficient and the low-temperature influence coefficient of each set of part change machining parameters are calculated, and the temperature comprehensive influence coefficient is calculated; the roundness, the planeness and the cylindricity of the part which is produced in the process at different cutting temperatures are obtained, the precision difference of the part which is produced in the process at different cutting temperatures is calculated, and an adjusting temperature threshold value is determined; and in the actual production process, the real-time machining highest temperature is extracted, when the real-time machining highest temperature exceeds the adjustment temperature threshold value, a production regulation and control instruction is sent out, and real-time regulation and control machining parameters are calculated. Therefore, thermal deformation and cutting force change in the machining process can be reduced, and the stability of machining precision can be kept.

Description

Technical Field

[0001] The invention relates to the technical field of numerical control machine tool control, and in particular to an intelligent control method for a numerical control machine tool production line. Background Art

[0002] With the continuous exploitation of underground resources such as oil and natural gas, the demand for underground drilling equipment and its precision parts is growing. These parts are not only required to have high precision and high strength, but also to maintain stable performance in extreme environments. As the core equipment of modern manufacturing, CNC machine tools are ideal for the production of underground drilling precision parts due to their high precision and high efficiency. However, traditional CNC machine tool control methods can no longer meet current production needs, and the introduction of intelligent control methods has become an inevitable trend. The traditional control methods of CNC machine tools and their limitations include: manual control relies on the operator's experience and skills, and it is difficult to achieve high precision and consistency; although automated control improves production efficiency, it lacks intelligent decision-making and adaptive capabilities, and it is difficult to cope with complex and changing processing requirements; programmed control controls the processing of machine tools through preset programs, but once the program is determined, it is difficult to adjust flexibly and it is difficult to cope with emergencies during the processing process.

[0003] In the Chinese invention application with application publication number CN117075534A, a method for intelligent control of a CNC machine tool production line is disclosed, including performing machine tool processing parameter analysis on the part processing assembly drawing obtained by the CNC analysis module, the processing execution module performing part processing and production based on the analyzed part processing control parameter information, and acquiring the processing status information of the target part through the sensor group, and then tracing the processing parameters according to the processing status, optimizing the machine tool processing control parameter solution space based on the traced target-related processing control parameter information, generating a machine tool processing control parameter memory library, performing global optimization based on the machine tool processing control parameter memory library, and outputting a set of machine tool processing control optimization parameters, thereby controlling part production.

[0004] In the Chinese invention application with application publication number CN113894617A, a tool state monitoring system and method based on machine tool vibration signals are disclosed. The monitoring system includes a host computer control module and a data acquisition module, which collects and displays relevant information in the machine tool processing process in real time. The system can monitor the vibration signals in the machine tool processing in real time, and optimize the cutting parameters according to the collected results, so as to achieve the purpose of extending the tool life and fault warning. The monitoring method compares the vibration curve with the standard characteristic value curve to determine whether the tool needs to be replaced, the tool wear condition, and optimize the cutting parameters according to the comparison results. Finally, instructions are sent to the CNC machine tool control system through the OPC UA protocol, thereby realizing intelligent control of the motion state of the machine tool.

[0005] In the above invention application, invention CN117075534A performs global optimization based on the machine tool processing control parameter memory library, outputs a set of machine tool processing control optimization parameters, and performs a technical solution for part production control based on the set of machine tool processing control optimization parameters. However, once the program is determined, it is difficult to flexibly adjust and cope with emergencies during the processing.

[0006] Although invention CN113894617A takes the tool status into consideration, it cannot solve other emergencies well. If the intelligent control system cannot adapt to these changes in time, the part size, shape or surface quality will not meet the requirements, thus affecting the overall performance of the product.

[0007] To this end, the present invention provides an intelligent control method for a CNC machine tool production line. Summary of the invention

[0008] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides an intelligent control method for a CNC machine tool production line. The present invention groups and numbers the underground drilling precision instrument parts to be processed, extracts the initial maximum temperature of each group of parts, and and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient ; Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determine the adjustment temperature threshold; extract the real-time maximum processing temperature in the actual production process , when the real-time processing maximum temperature When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time , which can reduce thermal deformation and cutting force changes during the processing process, which helps to maintain the stability of processing accuracy and improve product quality, thereby solving the technical problems recorded in the background technology.

[0009] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for intelligent control of a CNC machine tool production line, comprising the following steps: The underground drilling precision instrument parts to be processed are grouped and numbered, and the initial maximum temperature of each group of parts is extracted. and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient ; Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determine the adjustment temperature threshold; Extract the highest processing temperature in real time during the actual production process , when the real-time processing maximum temperature When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time .

[0010] Furthermore, the underground drilling precision instrument parts to be processed are grouped and numbered, and the surface temperature field of the workpieces is captured using an infrared thermal imager to extract the initial maximum temperature of each group of parts. and initial minimum temperature Each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, and an infrared thermal imager is used to capture the highest processing temperature of the parts under different processing parameters. and processing minimum temperature , and output the corresponding changed processing parameters .

[0011] Among them, each group of underground drilling precision instrument parts to be processed adopts the method of controlling variables. For example, the first group has the same processing feed speed and cutting depth, different cutting speeds, and the changing processing parameter is the cutting speed. The second group has the same processing cutting speed and cutting depth, different feed speeds, and the changing processing parameter is the feed speed. The third group has the same processing cutting speed and feed speed, different cutting depths, and the changing processing parameter is the cutting depth.

[0012] Furthermore, the initial maximum temperature of each group of parts is obtained , initial minimum temperature , Maximum processing temperature and processing minimum temperature , calculate the high temperature difference of different processing parameters Low temperature difference with processing :

[0013] in, i Indicates the group number of the underground drilling precision instrument parts to be processed. i=1、2、3 , j Indicates the sequence number of different processing parameters in the same group. j = 1, 2, ... n , n The total number of each group of underground drilling precision instrument parts to be processed.

[0014] Furthermore, the changing processing parameters of each group of parts are obtained High temperature difference between , calculate the changing processing parameters for each group of parts High temperature difference in processing High temperature influence coefficient :

[0016] Furthermore, the changing processing parameters of each group of parts are obtained Low temperature difference with processing , calculate the changing processing parameters for each group of parts Low temperature difference for processing Low temperature influence coefficient :

[0018] Furthermore, obtain the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , calculate the changing processing parameters of each group of parts Temperature comprehensive influence coefficient :

[0020] Furthermore, a laser scanner is used to scan the parts produced by the process at different cutting temperatures to obtain the roundness of the parts produced by the process at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures :

[0021] in, a Indicates the sequential number of different cutting temperatures. a=1, 2, …m , m The total number of cutting temperatures.

[0022] Furthermore, when the accuracy is poor When the cutting temperature exceeds the accuracy standard of underground drilling precision instrument parts, the cutting temperature is marked as a dangerous cutting temperature, and 0.9 times the lowest dangerous cutting temperature is taken as the adjustment temperature threshold.

[0023] Furthermore, after receiving the production control instructions, the real-time processing parameters are obtained. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time :

[0024] Where x represents the time number of the same part processing.

[0025] (III) Beneficial effects The present invention provides an intelligent control method for a CNC machine tool production line, which has the following beneficial effects: 1. Group and number the parts of underground drilling precision instruments to be processed, and extract the initial maximum temperature of each group of parts and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient , which can provide a basis for subsequent data analysis and improvement, and customize the most suitable processing parameters for each part, thereby improving processing efficiency and product quality.

[0026] 2. Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determining the adjustment temperature threshold, can optimize the cutting parameter settings in the production process, which helps to standardize and automate the production process and improve production efficiency and product quality.

[0027] 3. Extract the highest processing temperature in real time during the actual production process , when the real-time processing maximum temperature When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time , which can reduce thermal deformation and cutting force changes during processing, which helps to maintain the stability of processing accuracy and improve product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 The present invention is a flowchart of an intelligent control method for a CNC machine tool production line. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 The present invention provides an intelligent control method for a CNC machine tool production line, comprising the following steps: Step 1: Group and number the underground drilling precision instrument parts to be processed, and extract the initial maximum temperature of each group of parts and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient .

[0031] The step 1 includes the following contents: Step 101: Group and number the underground drilling precision instrument parts to be processed, use an infrared thermal imager to capture the surface temperature field of the workpiece, and extract the initial maximum temperature of each group of parts. and initial minimum temperature Each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, and an infrared thermal imager is used to capture the highest processing temperature of the parts under different processing parameters. and processing minimum temperature , and output the corresponding changed processing parameters .

[0032] Among them, each group of underground drilling precision instrument parts to be processed adopts the method of controlling variables. For example, the first group has the same processing feed speed and cutting depth, different cutting speeds, and the changing processing parameter is the cutting speed. The second group has the same processing cutting speed and cutting depth, different feed speeds, and the changing processing parameter is the feed speed. The third group has the same processing cutting speed and feed speed, different cutting depths, and the changing processing parameter is the cutting depth.

[0033] Step 102: Obtain the initial maximum temperature of each group of parts , initial minimum temperature , Maximum processing temperature and processing minimum temperature , calculate the high temperature difference of different processing parameters Low temperature difference with processing :

[0034] in, i Indicates the group number of the underground drilling precision instrument parts to be processed. i=1、2、3 , j Indicates the sequence number of different processing parameters in the same group. j = 1, 2, ... n , n The total number of each group of underground drilling precision instrument parts to be processed.

[0035] Step 103: Obtain the changing processing parameters of each group of parts High temperature difference between , calculate the changing processing parameters for each group of parts High temperature difference in processing High temperature influence coefficient :

[0037] Step 104: Obtain the changing processing parameters of each group of parts Low temperature difference with processing , calculate the changing processing parameters for each group of parts Low temperature difference for processing Low temperature influence coefficient :

[0039] Step 105: Obtain the processing parameters of each set of parts High temperature influence coefficient and low temperature effect coefficient , calculate the changing processing parameters of each group of parts Temperature comprehensive influence coefficient :

[0041] When using, combine the contents in steps 101 to 105: The underground drilling precision instrument parts to be processed are grouped and numbered, and the initial maximum temperature of each group of parts is extracted. and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient , which can provide a basis for subsequent data analysis and improvement, and customize the most suitable processing parameters for each part, thereby improving processing efficiency and product quality.

[0042] Step 2: Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determine the adjustment temperature threshold.

[0043] The step 2 includes the following contents: Step 201: Use a laser scanner to scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures :

[0044] in, a Indicates the sequential number of different cutting temperatures. a=1, 2, …m , m The total number of cutting temperatures.

[0045] Step 202: When the accuracy is poor When the cutting temperature exceeds the accuracy standard of underground drilling precision instrument parts, the cutting temperature is marked as a dangerous cutting temperature, and 0.9 times the lowest dangerous cutting temperature is taken as the adjustment temperature threshold.

[0046] When using, combine the contents in 201 and 202: Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determining the adjustment temperature threshold, can optimize the cutting parameter settings in the production process, which helps to standardize and automate the production process and improve production efficiency and product quality.

[0047] Step 3: Extract the real-time maximum processing temperature during the actual production process , when the real-time processing maximum temperature When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time .

[0048] The step three includes the following contents: Step 301: In the actual production process, use an infrared thermal imager to capture the surface temperature field of the workpiece and extract the real-time maximum processing temperature. , when the real-time processing maximum temperature When the temperature exceeds the regulation threshold, a production control instruction is issued.

[0049] Step 302: After receiving the production control instruction, obtain the real-time processing parameters And temperature comprehensive influence coefficient , calculate and control processing parameters in real time :

[0050] Where x represents the time number of the same part processing.

[0051] When used, combine the contents in steps 301 and 302: Extract the highest processing temperature in real time during the actual production process , when the real-time processing maximum temperature When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time , which can reduce thermal deformation and cutting force changes during processing, which helps to maintain the stability of processing accuracy and improve product quality.

[0052] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0053] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0054] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. An intelligent control method for a CNC machine tool production line, characterized in that: The steps include: The underground drilling precision instrument parts to be processed are grouped and numbered, and the initial maximum temperature of each group of parts is extracted. and initial minimum temperature , each group of underground drilling precision instrument parts to be processed is produced using different processing parameters, capturing the highest processing temperature of the parts under different processing parameters and processing minimum temperature , and output the corresponding changed processing parameters , calculate the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , and calculate the changing processing parameters of each set of parts Temperature comprehensive influence coefficient ; Scan the parts that have been processed and produced at different cutting temperatures to obtain the roundness of the parts that have been processed and produced at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures , determine the adjustment temperature threshold; Extract the highest processing temperature in real time during the actual production process , when the maximum processing temperature is When the temperature exceeds the threshold, a production control instruction is issued to obtain real-time processing parameters. And temperature comprehensive influence coefficient , calculate and control processing parameters in real time .

2. The intelligent control method for a CNC machine tool production line according to claim 1, characterized in that: Get the initial maximum temperature of each group of parts , initial minimum temperature , Maximum processing temperature and processing minimum temperature , calculate the high temperature difference of different processing parameters Low temperature difference with processing : in, i Indicates the group number of the underground drilling precision instrument parts to be processed. i=1、2、3 , j Indicates the sequence number of different processing parameters in the same group. j = 1, 2, ... n , n The total number of each group of underground drilling precision instrument parts to be processed.

3. The intelligent control method for a CNC machine tool production line according to claim 2 is characterized in that: Get the changing processing parameters of each group of parts High temperature difference between , calculate the changing processing parameters for each group of parts High temperature difference in processing High temperature influence coefficient : 。 4. The intelligent control method for a CNC machine tool production line according to claim 2 is characterized in that: Get the changing processing parameters of each group of parts Low temperature difference with processing , calculate the changing processing parameters for each group of parts Low temperature difference for processing Low temperature influence coefficient : 。 5. The intelligent control method for a CNC machine tool production line according to claim 4 is characterized in that: Get the changing processing parameters of each group of parts High temperature influence coefficient and low temperature effect coefficient , calculate the changing processing parameters of each group of parts Temperature comprehensive influence coefficient : 。 6. The intelligent control method for a CNC machine tool production line according to claim 1 is characterized in that: Use a laser scanner to scan the parts produced in a process at different cutting temperatures to obtain the roundness of the parts produced in a process at different cutting temperatures. , Flatness and cylindricality , calculate the accuracy difference of parts produced in a process under different cutting temperatures : in, a Indicates the sequential number of different cutting temperatures. a=1, 2, …m , m The total number of cutting temperatures.

7. The intelligent control method for a CNC machine tool production line according to claim 6 is characterized in that: When the accuracy is poor When the cutting temperature exceeds the accuracy standard of underground drilling precision instrument parts, the cutting temperature is marked as a dangerous cutting temperature, and 0.9 times the lowest dangerous cutting temperature is taken as the adjustment temperature threshold.

8. The intelligent control method for a CNC machine tool production line according to claim 1 is characterized in that: After receiving the production control instructions, obtain real-time processing parameters And temperature comprehensive influence coefficient , calculate and control processing parameters in real time : Where x represents the time number of the same part processing.

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