Milling cutter service life management and control system based on two-dimensional code

Abstract

The invention discloses a milling cutter service life management and control system based on a two-dimensional code, and relates to the technical field of machining. The cutter service life management and control center is in communication connection with a cutter service life management database, a binding end, an acquisition end, an unbinding end, a background data acquisition and analysis module, a cutter service life early warning module and a wear detection and service life correction module, and all the modules are in electric signal connection; and the tool life management database is used for storing related data of tools, including unique identification codes, initial residual life, use time, manufacturers, quantity and model data. According to the tool management system and method, the tools are managed in the whole life cycle, detailed data records are recorded in each link from warehousing, ex-warehouse, use to scrapping of the tools, enterprises can better master the use conditions of the tools, data support can be provided for purchasing, storage and the like of the tools, and the tool management process is further optimized.

Description

Technical Field

[0001] The present invention relates to the field of mechanical processing technology, and in particular to a milling cutter tool life management and control system based on a two-dimensional code. Background Art

[0002] In the mechanical processing of parts, the use status of the tool is crucial to the processing quality of the parts. If the tool continues to process parts after its service life exceeds the service life, it will accelerate the wear of the tool and directly threaten the processing quality of the parts. If the tool is replaced before its service life reaches the end, it will cause waste and increase costs. The traditional model of relying on operators to judge the use status of the tool is greatly affected by the operator's skill level and working status, which is not conducive to the systematic judgment of tool life. The characteristics of small batches and multiple varieties of aviation structural parts cannot use statistical methods to determine the tool life like large quantities of parts. It is necessary to conduct tool life statistics, analysis and prediction under multiple working conditions and multiple factors. The DPM code has obvious advantages such as large coding capacity, high information security, stable engraving and not easy to lose. The two-dimensional code marking technology with DPM code as the carrier can make unique marks on the tool rod and handle. Compared with other methods, the modification cost is low and it is easy to promote.

[0003] Compared with similar patents, CN113269933A A CNC machining tool holder intelligent management system and management method describes a management device for the tool use process and its usage method, and does not involve tool life management; CN114536104B A tool life dynamic prediction method describes a tool life prediction method, and does not involve tool life management; CN201910363814.4 A tool life prediction method and intelligent tool management system describes a general tool management system, which includes a tool life monitoring unit and an early warning unit, but does not describe the automated collection method and early warning of tool life. Summary of the invention

[0004] The purpose of the present invention is to provide a milling cutter tool life management system based on a two-dimensional code to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A milling cutter tool life management system based on a QR code includes a tool life management center, wherein the tool life management center is communicatively connected to a tool life management database, a binding end, a collection end, an unbinding end, a background data collection and analysis module, a tool life early warning module, and a wear detection and life correction module, wherein electrical signals are connected between the modules;

[0007] The tool life management database is used to store relevant data of the tool, including unique identification code, initial residual life, usage time, manufacturer, quantity, model data, and provide basic data support for tool tracking, management and life prediction;

[0008] The binding end is used to scan the barcode of the tool bar and the tool handle to establish a binding relationship, ensure the correct pairing of the tool bar and the tool handle, so that the tool is bound before leaving the warehouse and can be used, and provide basic data for subsequent tool life management;

[0009] The acquisition end is used to automatically record the processing information of the tool during use, including the start time and the end time, and to provide real-time data support for the monitoring and prediction of the tool life by recording the effective working time of the tool;

[0010] The unbinding end is used to scan the bar and the handle to release the binding relationship, so that the handle and the bar can be used together again. After the tool is recovered, the bar and the handle are separated to release the QR code binding;

[0011] The background data collection and analysis module uses an algorithm prediction method to analyze and predict the tool life information. By collecting and analyzing tool usage data, it realizes scientific management and prediction of tool life, optimizes tool usage efficiency and cost control;

[0012] The tool life warning module is used to set a warning value. When the tool life is close to the preset value, the operator is reminded through warning lights of different colors to promptly remind the operator to replace the tool to avoid processing quality problems caused by tool wear;

[0013] The wear detection and life correction module is used to detect the wear of the tool that has reached the end of its service life, and to correct the predicted life value of the tool according to the wear condition, thereby extending the service life of the tool, reducing unnecessary replacement, and reducing production costs.

[0014] A further improvement of the technical solution of the present invention is that: in the tool life management database, the process of storing tool related data is:

[0015] Prepare the tool bars and tool holders required for machining parts according to the manufacturing instructions, and create a tool life management database, including the tool unique identification code, tool initial residual life, tool start time, tool end time, manufacturer, quantity, model, etc.;

[0016] According to the coding rules, unique identification codes are formulated for tool bars and tool handles, and unique identification codes are automatically generated in the tool life management database and marked in the form of QR codes;

[0017] The coding rules for the unique identification code of the arbor and the shank are as follows: the arbor code is composed of the arbor item code, an underscore, the arbor diameter, the arbor bottom angle, the arbor total length, an underscore and a serial number, wherein the item code structure is an 8-digit Arabic numeral with a value range of 40000001 to 49999999, the arbor diameter is composed of the letter D and the diameter value, with an unlimited number of digits, the arbor bottom angle is composed of the letter R and the bottom angle value, with an unlimited number of digits, the arbor total length is composed of the letter L and the length value, with an unlimited number of digits, and the serial number is composed of the letter L and the length value, with a value range of 001 to 999;

[0018] The tool handle code consists of the tool handle item code, underscore, tool handle type, tool handle diameter, tool handle total length, underscore and serial number. The item code structure is 9 Arabic numerals with a value range of 400000001 to 499999999. The tool handle type is English letters, heat shrink: RS, hydraulic: YY, strong: QL, spring: ER, which are uniformly defined according to demand and have an unlimited number of digits. The tool handle diameter consists of the letter D and the diameter value, with an unlimited number of digits. The tool handle total length consists of the letter L and the length value, with an unlimited number of digits. The serial number consists of the letter L and the length value, with a value range of 001 to 999.

[0019] A further improvement of the technical solution of the present invention is that: in the binding end, the process of establishing the binding association relationship is:

[0020] In the tool matching room, select the tool bar and tool handle of the required model and specification according to the manufacturing instructions;

[0021] Use the scanning device at the binding end to scan the QR codes on the tool bar and the tool handle respectively, and use the QR code marking technology to read the unique identification code and related information of the tool. The scanning device automatically identifies and reads the information in the QR code, including the unique identification code and model of the tool;

[0022] According to the scanning results, the unique identification codes of the scanned tool bar and tool handle are matched to establish a binding relationship between the tool bar and the tool handle to ensure the correct pairing and tracking of the tool during subsequent use;

[0023] Confirm in the tool life management database whether the binding information of the tool bar and tool handle is correct. Once the binding relationship is established and confirmed, the tool can be shipped out and enter a usable state, and a list containing the tool bar and tool handle information is generated for easy tracking and management.

[0024] A further improvement of the technical solution of the present invention is that: in the acquisition end, the process of recording the processing information during the use of the tool is:

[0025] Install the code scanning device on the CNC machine tool, ensure that the scanning device works normally, connect it to the background data collection and analysis module, and install the tool on the spindle to prepare for CNC machining;

[0026] When the tool is installed on the spindle and CNC machining begins, the CNC program controls the CNC machine tool spindle and tool to move to the code scanning position of the acquisition end, and uses the scanning device to scan the QR code on the tool handle. After the code is scanned successfully, a prompt sound is emitted, indicating that the tool has officially entered the use state, and the start time of the tool use is recorded;

[0027] During the CNC program processing, real-time monitoring of tool usage, including processing time and tool status;

[0028] After the CNC program processing is completed, the CNC program controls the CNC machine tool spindle and tool to move to the scanning position of the acquisition end again. The scanning device scans the QR code on the tool handle again, automatically records the end time of the tool use, and then fully records a single use cycle of the tool.

[0029] A further improvement of the technical solution of the present invention is that: in the unbinding end, the process of unbinding the binding association relationship is:

[0030] After the parts are machined, all used tools are collected and returned to the tool room, where they are received and prepared for separation operations;

[0031] Use the scanning device at the unbinding end to scan the QR codes on the knife bar and the knife handle respectively to read the unique identification code;

[0032] Unbind the association relationship based on the scanned unique identification code of the tool bar and tool handle;

[0033] The wear of the tool rod and tool handle is detected. For tool rods and tool handles that have reached the set life, they are actively identified and the alarm mechanism is triggered when they are bound and shipped out again.

[0034] A further improvement of the technical solution of the present invention is that in the background data acquisition and analysis module, the process of analyzing and predicting tool life information is as follows:

[0035] Extract tool usage data collected by the acquisition end from the tool life management database, including start time, end time, and processing time;

[0036] Analyze the collected tool usage data and combine it with the wear detection of the tool bar and tool holder to determine the current status and wear trend of the tool;

[0037] Based on the tool's baseline life, usage time, and wear, an algorithm is used to calculate the tool life assessment coefficient, predict the tool life, and compare the predicted tool life with the preset tool life.

[0038] A further improvement of the technical solution of the present invention is that the calculation formula of the tool life evaluation coefficient is:

[0039]

[0040] Among them, A is the tool life assessment coefficient, T is the actual use time of the tool, L 0 is the reference life of the tool, α is an index related to the usage time, reflecting the influence of the usage time on the life, V is the current wear amount of the tool, V max is the maximum allowable value of tool wear, β is an index related to the amount of wear, reflecting the degree of influence of the amount of wear on the life, and the value range of A is between 0 and 1;

[0041] The calculation formula for the predicted tool life is:

[0042] L=L 0 A;

[0043] Where, L is the predicted tool life, L 0 is the basic life of the tool, and A is the tool life evaluation coefficient.

[0044] A further improvement of the technical solution of the present invention is that the specific use process of the tool life warning module is:

[0045] According to the tool's baseline life and process requirements, a 2-hour margin is set in the system as a warning value for tool life to ensure that operators have enough time to prepare for tool replacement;

[0046] Real-time monitoring of tool usage, including usage time and wear, and real-time update of tool life prediction data. Combined with the algorithm of the background data acquisition and analysis module, the real-time remaining life of the tool is calculated;

[0047] The calculated remaining life is compared with the preset warning value, and the operator is reminded through warning lights of different colors. If the remaining life of the tool is greater than the warning value, the tool is judged to be in a normal state, and the system lights up a green light. If the remaining life of the tool is less than or equal to the warning value but greater than the termination value (i.e., the end of the tool life), the system judges that the tool is in a warning state, and the system lights up a yellow light. If the remaining life of the tool reaches or is less than the termination value, the system judges that the tool life has expired, and the system lights up a red light.

[0048] When the system determines that the tool is in the warning state, it reminds the operator to pay attention to the tool life and prepare to replace the tool. When the system determines that the tool life has expired, it strongly reminds the operator to replace the tool immediately through a red light and voice alarm.

[0049] After the operator sees the warning light signal, he / she will replace the tool in time according to the system prompt to ensure the continuity and quality of the machining process. The system records each warning and tool replacement operation for subsequent analysis and optimization of the tool life management strategy.

[0050] A further improvement of the technical solution of the present invention is that in the wear detection and life correction module, the process of correcting the tool predicted life value is:

[0051] For tools that have reached or are close to their preset service life, the system will issue a prompt and the operator will return the tool to the tool matching room, where the wear on the tool flank will be tested using an equal-power microscope and tool measuring instrument.

[0052] Record the detected wear data, including the tool flank wear, cutting edge wear, and wear rate index. According to the test results, if the tool flank wear is not greater than 0.2 mm, it is determined that the tool still has a certain processing capability;

[0053] According to the tool wear test results and historical usage data, the life correction coefficient is calculated to adjust the tool's predicted life value. Combined with the life correction coefficient, the system corrects the tool's predicted life value.

[0054] Compare the corrected predicted life with the preset service life to determine whether the tool needs to be replaced. After wear detection and life correction, if the tool still meets the use requirements, the tool will be re-bound and put into use;

[0055] The wear detection results and the corrected predicted life are updated to the tool life management database, and the tool maintenance and replacement plan is optimized based on the wear detection and life correction results.

[0056] A further improvement of the technical solution of the present invention is that the calculation formula of the life correction coefficient is:

[0057]

[0058] Where C is the life correction factor, V B is the current flank wear, V B0 is the reference value of the flank wear, r is the wear rate, which indicates the amount of wear per unit time, T is the actual use time of the tool, V C is the current cutting edge wear, V C0 is the reference value of cutting edge wear, ∈ and τ are adjustment coefficients used to balance the influence of flank wear and cutting edge wear on the life correction coefficient, and the value range of C is 0 to 1.

[0059] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0060] 1. The present invention provides a milling cutter tool life management system based on QR code. By managing the entire life cycle of the tool, detailed data records are kept for each link from the warehousing, outbound, use to scrapping of the tool. This not only helps the company to better understand the use of the tool, but also provides data support for the purchase and storage of the tool, and further optimizes the tool management process.

[0061] 2. The present invention provides a milling cutter tool life management system based on QR code, which automatically records the processing information of the tool by scanning the QR code, realizes the automation and informatization of tool management, accurately tracks the key data such as the usage status and processing time of each tool, and greatly improves the accuracy of tool management. At the same time, the automated management of the system also reduces the burden on operators, thereby improving overall production efficiency.

[0062] The present invention provides a milling cutter tool life management and control system based on QR code. Through the wear detection and life correction module, the wear amount of the tool that has reached the end of its service life is detected, and the predicted life value of the tool is corrected according to the detection result. For the tool with less wear, the system can reset its life value so that it can continue to be put into use, thereby reducing the replacement frequency and production cost of the tool. At the same time, the system can also provide suggestions for tool replacement based on the usage and wear of the tool, avoid excessive use or premature replacement of the tool, and further reduce resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0064] Figure 1 It is a work flow chart of the present invention;

[0065] Figure 2 It is a schematic diagram of the coding rule of the tool bar of the present invention;

[0066] Figure 3 It is a schematic diagram of the coding rules of the tool handle of the present invention;

[0067] Figure 4 It is a module structure diagram of the present invention;

[0068] Figure 5 Flow chart of correcting the predicted tool life value of the present invention. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0070] Embodiment 1, as Figure 1-Figure 5 As shown, the present invention provides a milling cutter tool life management system based on a QR code, including a tool life management center, the tool life management center is communicatively connected to a tool life management database, a binding end, a collection end, an unbinding end, a background data collection and analysis module, a tool life warning module, and a wear detection and life correction module, wherein the modules are connected by electrical signals;

[0071] The tool life management database is used to store relevant data of the tool, including unique identification code, initial residual life, usage time, manufacturer, quantity, model data, and provide basic data support for tool tracking, management and life prediction. The tool bar and tool holder required for processing parts are prepared according to the manufacturing instructions, and a tool life management database is created, which includes the tool unique identification code, tool initial residual life, tool start time, tool end time, manufacturer, quantity, model, etc. A unique identification code is formulated for the tool bar and tool holder according to the coding rules, and a unique identification code is automatically generated in the tool life management database and marked in the form of a QR code. The coding rules for formulating unique identification codes for tool bar and tool holder are as follows: the tool bar code is composed of the tool bar item code, underline, tool bar diameter, tool bar bottom angle, tool bar total length, underline and serial number, where the item code structure is 8-digit Arabic numerals with a value range of 40000001~4 9999999, the shank diameter consists of the letter D and the diameter value, with an unlimited number of digits, the shank bottom angle consists of the letter R and the bottom angle value, with an unlimited number of digits, the shank total length consists of the letter L and the length value, with an unlimited number of digits, the serial number consists of the letter L and the length value, and the value range is 001 to 999, the handle code consists of the handle item code, underscore, handle type, handle diameter, handle total length, underscore and serial number, where the item code structure is 9 Arabic numerals, with a value range of 400000001 to 499999999, the handle type is English letters, heat shrink: RS, hydraulic: YY, strong: QL, spring: ER, unified definition according to demand, unlimited number of digits, the shank diameter consists of the letter D and the diameter value, with an unlimited number of digits, the shank total length consists of the letter L and the length value, with an unlimited number of digits, the serial number consists of the letter L and the length value, and the value range is 001 to 999;

[0072] The binding end is used to scan the tool bar and tool handle, establish a binding association, ensure the correct pairing of the tool bar and tool handle, so that the tool is bound before leaving the warehouse and can be used, and provide basic data for subsequent tool life management. In the tool matching room, select the tool bar and tool handle of the required model and specification according to the manufacturing instructions, and ensure that the surface of the tool bar and tool handle is clean and free of obstructions so that the QR code can be accurately scanned. If the rear end face of the tool bar is covered, its life will be indirectly tracked by the QR code on the tool handle. Use the scanning device on the binding end to scan the QR codes on the tool bar and tool handle respectively, and use the QR code marking Technology, read the unique identification code and related information of the tool, the scanning device automatically identifies and reads the information in the QR code, including the unique identification code and model of the tool, and matches the scanned unique identification codes of the tool bar and tool handle according to the scanning result, establishes a binding relationship between the tool bar and tool handle, ensures the correct pairing and tracking of the tool during subsequent use, and confirms whether the binding information of the tool bar and tool handle is correct in the tool life management database. Once the binding relationship is established and confirmed, the tool can be shipped out of the warehouse and enter the usable state, and a list containing the tool bar and tool handle information is generated for easy tracking and management;

[0073] The collection end is used to automatically record the processing information of the tool during use, including the start time and the end time. By recording the effective working time of the tool, real-time data support is provided for the monitoring and prediction of the tool life. The code scanning device of the collection end is installed on the CNC machine tool to ensure the normal operation of the scanning device and connect it with the background data collection and analysis module to ensure that when the tool is installed on the spindle and starts processing, the QR code on the tool handle can be easily scanned, and the tool is installed on the spindle to prepare for CNC processing. When the tool is installed on the spindle and CNC processing starts, the CNC program controls the CNC machine tool spindle and the tool to move to the code scanning position of the collection end, and the scanning device is used to scan the QR code on the tool handle. After the code is scanned successfully, a prompt sound is issued, indicating that the tool has officially entered the use state, and the use start time of the tool is recorded. During the CNC program processing, the use of the tool is monitored in real time, including the processing time and tool status. After the CNC program processing is completed, the CNC program controls the CNC machine tool spindle and the tool to move to the code scanning position of the collection end again, and the scanning device scans the QR code on the tool handle again, automatically recording the end time of the tool, thereby completely recording a single use cycle of the tool;

[0074] The unbinding end is used to scan the bar and handle to unbind the associated relationship so that the handle and bar can be used together again. After the tool is recovered, the bar and handle are separated and the QR code binding is unbinded. After the parts are processed, all used tools are collected and returned to the tool matching room. In the tool matching room, the tools are received and prepared for separation. The scanning device on the unbinding end is used to scan the QR codes on the bar and handle respectively to read the unique identification code. According to the scanned unique identification code of the bar and handle, the binding relationship is unbinded, and the wear of the bar and handle is detected. For the bar and handle that have reached the set life, when they are bound again for delivery, they are actively identified and the alarm mechanism is triggered;

[0075] The background data collection and analysis module uses algorithm prediction to analyze and predict the tool life information. By collecting and analyzing tool usage data, it realizes scientific management and prediction of tool life, optimizes tool usage efficiency and cost control, and extracts tool usage data collected by the collection end from the tool life management database, including start time and end time, processing time, analyzes the collected tool usage data, and combines the wear detection of the tool bar and tool handle to determine the current status and wear trend of the tool. Based on the tool's baseline life, usage time, and wear, the algorithm is used to calculate the tool life assessment coefficient, predict the tool life, and compare the predicted tool life with the preset tool life.

[0076] Furthermore, the calculation formula of the tool life evaluation coefficient is:

[0077]

[0078] Among them, A is the tool life assessment coefficient, T is the actual use time of the tool, L 0 is the reference life of the tool, a is an index related to the usage time, reflecting the influence of usage time on the life, V is the current wear of the tool, V max is the maximum allowable value of tool wear, β is an index related to the amount of wear, reflecting the degree of influence of the amount of wear on the life, and the value range of A is between 0 and 1;

[0079] The predicted tool life is calculated as:

[0080] L=L 0 A;

[0081] Where, L is the predicted tool life, L 0 is the basic life of the tool, A is the tool life assessment coefficient;

[0082] The tool life warning module is used to set the warning value. When the tool life is close to the preset value, the operator is reminded by warning lights of different colors. The operator is reminded to replace the tool in time to avoid processing quality problems caused by tool wear. According to the baseline life of the tool and process requirements, a 2-hour margin is set in the system as the warning value of the tool life to ensure that the operator has enough time to prepare to replace the tool. The tool usage, including usage time and wear, is monitored in real time, and the tool life prediction data is updated in real time. Combined with the algorithm of the background data acquisition and analysis module, the real-time remaining life of the tool is calculated, and the calculated remaining life is compared with the preset warning value. The operator is reminded by warning lights of different colors. If the remaining life of the tool is greater than the warning value, it is judged that When the tool is in normal state, the system lights up green. If the remaining life of the tool is less than or equal to the warning value but greater than the termination value (i.e., the end of the tool life), the system determines that the tool is in a warning state and the system lights up yellow. If the remaining life of the tool reaches or is less than the termination value, the system determines that the tool life has expired and the system lights up red. When the system determines that the tool is in a warning state, it reminds the operator to pay attention to the tool life and prepare to replace the tool. When the system determines that the tool life has expired, it strongly reminds the operator to replace the tool immediately through a red light and voice alarm. After the operator sees the warning light signal, he / she replaces the tool in time according to the system prompt to ensure the continuity and quality of the machining process. The system records each warning and tool replacement operation for subsequent analysis and optimization of tool life management strategies.

[0083] The wear detection and life correction module is used to detect the wear of tools that have reached the end of their service life, and to correct the predicted life value of the tool according to the wear conditions, thereby extending the service life of the tool, reducing unnecessary replacements, and reducing production costs.

[0084] Embodiment 2, as Figure 5 As shown, based on Example 1, the present invention provides a technical solution: Preferably, in the wear detection and life correction module, the process of correcting the tool predicted life value is:

[0085] For tools that have reached or are close to the preset service life, the system will issue a prompt and the operator will return the tool to the tool matching room. In the tool matching room, the tool's flank wear is detected using an equal-power microscope and a tool measuring instrument, and the detected wear data is recorded, including the tool's flank wear, cutting edge wear, and wear rate indicators. According to the test results, if the tool's flank wear is not greater than 0.2mm, it is determined that the tool still has a certain processing capability. According to the tool's wear test results and historical usage data, the life correction coefficient is calculated to adjust the tool's predicted life value. Combined with the life correction coefficient, the system corrects the tool's predicted life value and compares the corrected predicted life with the preset service life to determine whether the tool needs to be replaced. After wear detection and life correction, if the tool still meets the use requirements, the tool will be re-bound and put into use. The wear detection results and the corrected predicted life are updated to the tool life management database, and the tool maintenance and replacement plan is optimized based on the wear detection and life correction results. By extending the tool's service life and reducing unnecessary replacements, production costs are reduced;

[0086] Furthermore, the calculation formula of the life correction factor is:

[0087]

[0088] Where C is the life correction factor, V B is the current flank wear, V B0 is the reference value of the flank wear, r is the wear rate, which indicates the amount of wear per unit time, T is the actual use time of the tool, V C is the current cutting edge wear, V C0 is the reference value of cutting edge wear, ∈ and τ are adjustment coefficients used to balance the influence of flank wear and cutting edge wear on the life correction coefficient. The value range of C is 0 to 1. When V B and V C When both are 0, C=1, indicating that the tool is not worn. B and V C As the value of C increases, it decreases, indicating that tool wear increases. It means that the influence of flank wear on the correction factor is at the square root level, which means that a small increase in wear will lead to a significant decrease in the correction factor. -r·T is an exponential decay term, indicating that as the use time increases, the influence of wear rate on the correction factor will decrease. It represents the influence of cutting edge wear on the correction factor, and the value of τ determines the sensitivity of this influence.

[0089] Embodiment 3, as Figure 1-Figure 5As shown, based on Embodiment 1-2, the present invention provides a technical solution: preferably, a milling cutter tool life control system based on a QR code is applied to a CNC machine tool to process a typical wall panel product;

[0090] First, prepare the tool bar and tool handle required for machining the part according to the manufacturing instructions, and assign unique identification codes to the tool bar and tool handle according to the naming rules. The tool bar with item code 40037493, diameter 20mm, bottom angle R3, length 120mm, and serial number 001 is coded as 40037493_D20R3L120_001, and the tool handle with item code 460014958, BT specification, diameter 16mm, length 90mm, and serial number 001 is coded as 460014958_BTD16L90_001.

[0091] Create a tool life management database, including tool unique identification code, tool initial residual life, tool start time, tool end time, manufacturer, quantity, tool bar model and other data;

[0092] The QR code is designed according to the size of 4mm×4mm. The QR code corresponding to the identification code is engraved on the tool bar and tool handle by a laser marking machine. The QR code of the integral alloy tool is made on the rear end face, the QR code of the indexable milling cutter insert is made on the end face, and the QR code of the tool handle is made at the keyway of the handle.

[0093] Scan the QR code of all tool bars and tool handles used in this cycle in the tool matching room and operate them on the computer to form an information list in the system;

[0094] The cutting tools are delivered to the CNC machine tool for use;

[0095] The code scanning end of the collection station at the production site is installed in the CNC machine tool. When the process personnel compile the CNC program, they add a program segment at the beginning and end of the program where the spindle moves to the fixed code scanning end of the machine tool;

[0096] The operator is ready for production. After completing the process start in the manufacturing execution system, the program is started. The spindle and tool move to the scanning end. After completing the scanning operation, the use mode is entered to record the start time of this use. The system automatically compares the tool information set in the program in the production execution system with the information collected by the collection station at the production site. If there is any inconsistency, the system lights up a red light and sends a voice alarm to alert the worker.

[0097] During the machining process, the system compares the tool usage time with the preset life in real time, and issues alarms according to the normal value, warning value (2-hour margin), and termination value. The normal value system lights up green, the warning value system lights up yellow, and the termination value system lights up red.

[0098] Before the program execution ends, the spindle and tool move to the scanning end. After the scanning operation is completed, the use mode is exited and the end time of this use is recorded;

[0099] After the parts are processed, all tools are returned to the tool matching room, where the QR code is scanned to carry out unloading operations. For tool bars that have reached their service life, the wear status is determined using an equal-power microscope and a tool measuring instrument. For tool bars that have reached their set life but have a back tool wear of no more than 0.2 mm, their life value is reset and the tool bar can continue to be put into use.

[0100] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A milling cutter tool life control system based on QR code, characterized by: It includes a tool life control center, which is communicatively connected to a tool life management database, a binding terminal, a collection terminal, an unbinding terminal, a background data collection and analysis module, a tool life warning module, and a wear detection and life correction module, wherein electrical signals are connected between the modules; The tool life management database is used to store relevant data of the tool, including unique identification code, initial residual life, usage time, manufacturer, quantity, and model data; The binding end is used to scan the knife bar and the knife handle to establish a binding association relationship; The acquisition end is used to automatically record the processing information of the tool during use, including the start time and the end time; The unbinding end is used to scan the barcode of the knife rod and the knife handle to unbind the binding relationship; The background data collection and analysis module uses an algorithm prediction method to analyze and predict the tool life information; The tool life warning module is used to set a warning value, and when the tool life approaches the preset value, the operator is reminded through warning lights of different colors; The wear detection and life correction module is used to detect the wear amount of the tool that has reached the end of its service life and correct the predicted life value of the tool according to the wear condition.

2. According to the two-dimensional code-based milling cutter tool life management system of claim 1, it is characterized by: The process of storing tool-related data in the tool life management database is as follows: Prepare the tool bars and tool holders required for machining parts according to manufacturing instructions, and create a tool life management database, including the tool unique identification code, tool initial residual life, tool start time, tool end time, manufacturer, quantity, and model; According to the coding rules, a unique identification code is set for the tool rod and tool handle, and the unique identification code is automatically generated in the tool life management database and marked in the form of a QR code.

3. According to the two-dimensional code-based milling cutter tool life management system of claim 2, it is characterized by: In the binding end, the process of establishing a binding association relationship is as follows: In the tool matching room, select the tool bar and tool handle of the required model and specification according to the manufacturing instructions; Use the scanning device at the binding end to scan the QR codes on the tool bar and the tool handle respectively, and use the QR code marking technology to read the unique identification code and related information of the tool. The scanning device automatically identifies and reads the information in the QR code, including the unique identification code and model of the tool; According to the scanning result, the scanned unique identification codes of the tool rod and the tool handle are matched to establish a binding association relationship between the tool rod and the tool handle; Confirm in the tool life management database whether the binding information of the tool bar and tool handle is correct. Once the binding relationship is established and confirmed, the tool is shipped out of the warehouse, enters the usable state, and generates a list containing the tool bar and tool handle information.

4. According to the two-dimensional code-based milling cutter tool life management system of claim 3, it is characterized by: In the acquisition end, the process of recording the processing information during the use of the tool is as follows: Install the code scanning device on the CNC machine tool, connect it to the background data collection and analysis module, and install the tool on the spindle to prepare for CNC machining; When the tool is installed on the spindle and CNC machining begins, the CNC program controls the CNC machine tool spindle and tool to move to the code scanning position of the acquisition end, and uses the scanning device to scan the QR code on the tool handle. After the code is scanned successfully, a prompt sound is issued, indicating that the tool has officially entered the use state, and the start time of the tool use is recorded; During the CNC program processing, real-time monitoring of tool usage, including processing time and tool status; After the CNC program processing is completed, the CNC program controls the CNC machine tool spindle and tool to move to the scanning position of the acquisition end again. The scanning device scans the QR code on the tool handle again, automatically records the end time of the tool use, and then fully records a single use cycle of the tool.

5. The milling cutter tool life management and control system based on a two-dimensional code according to claim 4 is characterized in that: In the unbinding end, the process of unbinding the binding association is as follows: After the parts are machined, all used tools are collected and returned to the tool room, where they are received and prepared for separation operations; Use the scanning device at the unbinding end to scan the QR codes on the knife bar and the knife handle respectively to read the unique identification code; Unbind the association based on the scanned unique identification code of the tool rod and tool handle.

6. The milling cutter tool life management and control system based on a two-dimensional code according to claim 5 is characterized in that: In the background data acquisition and analysis module, the process of analyzing and predicting tool life information is as follows: Extract tool usage data collected by the acquisition end from the tool life management database, including start time, end time, and processing time; Analyze the collected tool usage data and combine it with the wear detection of the tool bar and tool holder to determine the current status and wear trend of the tool; Based on the tool's baseline life, usage time, and wear, an algorithm is used to calculate the tool life assessment coefficient, predict the tool life, and compare the predicted tool life with the preset tool life.

7. The milling cutter tool life management and control system based on a two-dimensional code according to claim 6 is characterized in that: The calculation formula of the tool life evaluation coefficient is: Among them, A is the tool life evaluation coefficient, T is the actual use time of the tool, L0 is the reference life of the tool, α is the index related to the use time, V is the current wear of the tool, V max is the maximum allowable value of tool wear, β is an index related to the wear amount, and the value range of A is between 0 and 1; The calculation formula for the predicted tool life is: L = L0·A; Among them, L is the predicted tool life, L0 is the reference life of the tool, and A is the tool life assessment coefficient.

8. The milling cutter tool life management and control system based on a two-dimensional code according to claim 7, characterized in that: The specific use process of the tool life warning module is as follows: According to the tool's baseline life and process requirements, a 2-hour margin is set in the system as the tool life warning value; Real-time monitoring of tool usage, including usage time and wear, and real-time update of tool life prediction data. Combined with the algorithm of the background data acquisition and analysis module, the real-time remaining life of the tool is calculated; The calculated remaining life is compared with the preset warning value, and the operator is reminded through warning lights of different colors. If the remaining life of the tool is greater than the warning value, the tool is judged to be in a normal state. If the remaining life of the tool is less than or equal to the warning value but greater than the termination value, the system judges that the tool is in a warning state. If the remaining life of the tool reaches or is less than the termination value, the system judges that the tool life has expired. When the system determines that the tool is in the warning state, it reminds the operator to pay attention to the tool life and prepare to replace the tool. When the system determines that the tool life has expired, it strongly reminds the operator to replace the tool immediately through a red light and voice alarm. After the operator sees the warning light signal, he / she will change the tool according to the system prompt. The system will record each warning and tool replacement operation.

9. A milling cutter tool life management and control system based on a two-dimensional code according to claim 8, characterized in that: In the wear detection and life correction module, the process of correcting the tool predicted life value is as follows: For tools that have reached or are close to their preset service life, the system will issue a prompt and the operator will return the tool to the tool matching room, where the wear on the tool flank will be tested using an equal-power microscope and tool measuring instrument. Record the detected wear data, including the tool flank wear, cutting edge wear, and wear rate index. According to the test results, if the tool flank wear is not greater than 0.2 mm, it is determined that the tool still has processing capabilities; According to the tool wear test results and historical usage data, the life correction coefficient is calculated. Combined with the life correction coefficient, the system corrects the predicted life value of the tool; Compare the corrected predicted life with the preset service life to determine whether the tool needs to be replaced. After wear detection and life correction, if the tool still meets the use requirements, the tool will be re-bound and put into use; The wear detection results and the corrected predicted life are updated to the tool life management database, and the tool maintenance and replacement plan is optimized based on the wear detection and life correction results.

10. A milling cutter tool life management and control system based on a two-dimensional code according to claim 9, characterized in that: The calculation formula of the life correction factor is: Where C is the life correction factor, V e is the current flank wear, V B0 is the reference value of the flank wear, r is the wear rate, which indicates the amount of wear per unit time, T is the actual use time of the tool, V C is the current cutting edge wear, V C0 is the reference value of cutting edge wear, ∈ and τ are adjustment coefficients, which are used to balance the influence of flank wear and cutting edge wear on the life correction factor.

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