An integrated intelligent milling cutter system of tool vibration and force signal fusion

Abstract

The application provides a kind of integrated intelligent milling cutter system of tool vibration and force signal fusion.The method is by installing vibration sensor symmetrically on the two sides of the first end of tool holder, and pasting PVDF force sensor on the surface of tool rod, the intelligent milling cutter can monitor and read the tool vibration and cutting force signal in real time during milling, and the obtained tool vibration and cutting force signal data are transmitted wirelessly to the host computer software for display, storage and analysis after being processed by microcontroller. At the same time, a separate power supply part with large-capacity battery pack is designed to ensure the long-time working endurance of the integrated intelligent milling cutter system and minimize the downtime.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent milling cutter, and particularly relates to an integrated intelligent milling cutter system with vibration and force signal fusion. BACKGROUND

[0002] As a rotary cutter widely used in manufacturing industry, the milling cutter is crucial in milling processing, and a large number of high-precision and high-quality key parts are completed by milling process. In the milling process, the milling cutter and the workpiece rub and collide at high speed and high frequency, resulting in frequent tool wear problems, and the machining precision will also decrease with the increase of the use time. If the parameters such as cutting speed, cutting depth and spindle speed are not properly set, not only the machining efficiency will be reduced and the tool life will be shortened, but also the tool damage and vibration will be caused, and in the extreme case, the tool will be broken and the surface quality of the workpiece will be negatively affected, the stability of the machine tool will be reduced, the main shaft of the machine tool will be damaged, and finally the processing cost will be greatly increased and the production activities will be forced to stop. Therefore, it is imperative to improve the intelligent level of the milling cutter, which can realize accurate perception and intelligent control of the processing process, effectively improve the machining precision and efficiency, reduce the waste rate and cost, and effectively promote the development of the processing technology towards the intelligent direction, so as to greatly improve the overall level of the industry.

[0003] With the in-depth exploration of tool intelligence research, the intelligent cutter developed by combining sensor, data acquisition, signal processing and computer technology can more comprehensively, meticulously and timely monitor the cutting process, and then reflect the processing state, and can use machine learning method to identify the features of the collected signals, and then judge the tool wear condition and tool remaining life.

[0004] At the same time, the application of sensor, data acquisition, signal processing and computer technology to milling processing can monitor various abnormal conditions and realize timely control. However, the existing intelligent milling cutter mostly focuses on the application of a single sensor, that is, only a single parameter is collected, processed and analyzed. Although the related research is relatively mature, the processing state reflected by the single signal has certain limitations, which is easy to lead to state monitoring misjudgment. The integrated intelligent milling cutter integrating multiple sensors can use multi-dimensional signals to more accurately monitor and reflect the cutting state.

[0005] Therefore, it is of great significance to develop an integrated intelligent milling cutter system with vibration and force signal fusion. SUMMARY

[0006] The purpose of the present application is to provide an integrated intelligent milling cutter system with vibration and force signal fusion to solve the problems in the prior art.

[0007] The technical solution adopted to achieve the purpose of the present invention is as follows: an integrated intelligent milling cutter system that integrates tool vibration and force signals, including a cutter head, a tool rod, a housing, a clamping part, two vibration sensors, several PVDF force sensors and a signal processing circuit board.

[0008] The clamping portion comprises, from its leading end to its trailing end, a shank connection, a flange, and a tapered shank. The shank connection comprises cylindrical section I, cylindrical section II, and cylindrical section III. Vibration sensor mounting grooves are defined on both sidewalls of cylindrical section I. The vibration sensor is housed in the grooves. Keyways are defined on both sides of the flange. A shank through-hole is axially defined in the clamping portion.

[0009] The head end of the knife rod is connected with a knife head, and the tail end is inserted into the head end of the knife handle through hole. A plurality of PVDF force sensors are attached to the rod body along the circumference.

[0010] The outer shell is mounted on the periphery of the shank and the clamping portion. The outer shell is a stepped rotary shell with open upper and lower ends. The outer shell includes a small diameter section and a large diameter section. The small diameter section encloses the PVDF force sensor. The large diameter section encloses the shank connection portion. The lower end opening of the outer shell is closed by a flange, and a rubber seal of the outer shell is arranged in the gap between the upper end opening and the shank. The large diameter section and cylindrical section I enclose a circuit board accommodating space. The large diameter section and cylindrical section II enclose a circuit board base accommodating space. The large diameter section and cylindrical section III enclose a battery compartment accommodating space.

[0011] A circuit board base is arranged in the circuit board base accommodating space. A heat-shrink flange is arranged on the lower surface of the circuit board base, and a hexagonal copper column is arranged on the upper surface. The circuit board base is fixedly mounted on the heat-shrink flange using circuit board base fixing screws. A battery compartment is arranged in the battery compartment accommodating space. A plurality of lithium batteries are arranged in the battery compartment. The top of the battery compartment is fixed to the heat-shrink flange. A signal processing circuit board is arranged in the circuit board accommodating space. The signal processing circuit board is mounted and fixed on the hexagonal copper column using circuit board fixing screws. The lithium battery, vibration sensor and PVDF force sensor are all connected to the signal processing circuit board.

[0012] During the cutting process, the cutter head deforms under the influence of cutting forces, generating corresponding strain. This strain is transmitted to the PVDF force sensor via the cutter bar. The charge signal generated by the PVDF force sensor is transmitted to the signal processing circuit board. The vibration sensor senses the acceleration changes caused by the milling cutter's vibration and transmits the voltage signal to the signal processing circuit board. The signal processing circuit board encodes the sensor signal and transmits it to the host computer.

[0013] Further, three vibration sensor fixing screw holes are drilled in the groove bottom of the vibration sensor mounting groove. The vibration sensor is fixedly connected with the clamping part through a vibration sensor fixing screw.

[0014] Further, the signal processing circuit board comprises a wireless transmission module, a control module, a power supply module, a signal preprocessing module and an analog-digital conversion module. The entire hardware circuit is powered by a lithium battery. The lithium battery is charged by a charging circuit of the power supply module, and a DC-DC voltage stabilizing circuit provides a corresponding stable voltage for circuit components. The signal preprocessing module performs signal conditioning on the analog signal output by the sensor, and converts the analog signal into a digital signal by using an AD converter inside the main micro control chip. The wireless transmission module is used for wirelessly transmitting data to PC terminal software.

[0015] Further, a hole site is reserved on the side wall of the shell to adapt the installation of the magnetic charging head and the switch button. The circuit board containing space is provided with a charging interface clamping groove. The magnetic charging head and the switch button are both connected with the signal processing circuit board.

[0016] Further, six circumferential threaded holes are drilled in the side wall of the cylindrical segment III. The shell is fixed with the clamping part by screws.

[0017] Further, the clamping part selects a non-standard BT50 tool shank. The taper of the taper shank is 7:24.

[0018] Further, the battery compartment is a hollow circular tube structure. The inner cavity of the battery compartment is marked as a battery compartment middle through hole. The upper and lower ends of the battery compartment extend outward to form a battery compartment top and a battery compartment bottom. The side wall of the battery compartment is equally spaced with battery compartment rib plates. The battery compartment top, the battery compartment bottom, the battery compartment rib plates and the battery compartment together enclose a plurality of independent battery accommodating cavities. The battery compartment top is provided with an opening at the position corresponding to the battery accommodating cavity. The lithium battery is slid into the battery accommodating cavity through the opening.

[0019] The technical effect of the present application is self-evident: under the premise of changing the original structure to a lesser extent, the signal acquisition and processing circuit combined with the vibration sensor, the force sensor and the integrated WIFI wireless transmission module can measure the tool vibration and cutting force in milling in real time and upload to the host computer. The intelligent milling cutter can guide the actual processing and realize the method simply and conveniently, which plays an important role in improving the cutting condition and timely replacing the tool. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 It is an overall structure schematic diagram of the intelligent milling cutter;

[0021] Figure 2 It is an axonometric view of the clamping part of the intelligent milling cutter; It is an axonometric view of the clamping part of the intelligent milling cutter;

[0022] Figure 3 This is the overall cross-section of the intelligent milling cutter;

[0023] Figure 4 This is the overall exploded view of the intelligent milling cutter;

[0024] Figure 5 This is a schematic diagram of the vibration sensor installation;

[0025] Figure 6 This is a schematic diagram of the installation of the PVDF force sensor;

[0026] Figure 7 This is a diagram of the battery compartment and battery installation;

[0027] Figure 8 This is a schematic diagram of the signal processing circuit board;

[0028] Figure 9 It is the online monitoring interface of the host computer software;

[0029] Figure 10 It is the offline analysis interface of the host computer software;

[0030] Figure 11 Schematic diagram of the intelligent milling cutter system monitoring tool vibration and force signals in real time.

[0031] In the figure: tool head 1, tool rod 2, housing 3, clamping part 4, tool rod connecting part 401, flange 402, tapered shank 403, keyway 404, circumferential threaded hole 405, vibration sensor mounting groove 406, vibration sensor fixing threaded hole 407, tool handle through hole 408, housing screw 5, magnetic charging head 6, switch button 7, housing rubber sealing ring 8, PVDF force sensor 9, charging interface card slot 10, charging wiring port 11, switch wiring port 12, vibration sensor 13, wireless transmission module 14, signal processing circuit board 15, hexagonal copper column 16, circuit board base 17, thermal mounting flange 18, lithium battery 19, battery compartment 20, circuit board base fixing screw 21, circuit board fixing screw 22, housing inner groove 23, tool rod through hole 24, tool head mounting threaded hole 25, tool rod groove 26. Wiring terminal 27. Wiring groove of circuit board base 28. Vibration sensor fixing screw 29. Chip resistor 30. LED 31. Chip capacitor 32. Battery compartment rib 33. Battery compartment bottom 34. Battery compartment top 35. Middle through hole of battery compartment 36. Control module 37. Wireless transmission module mounting socket 38. Circuit board mounting positioning hole 39. Power supply module 40. Signal preprocessing module 41. Analog-to-digital conversion module 42. Collection data saving path selection and naming setting 43. Alarm threshold setting 44. Network connection setting 45. Collection setting 46. Collection start and end buttons 47. "Wear prediction" and "Feature monitoring" interface 48. "Time domain waveform" and "Frequency domain spectrum" interface 49. Loading file path and parameter setting 50. Model training setting 51. Run log interface 52. DETAILED DESCRIPTION

[0032] The present invention will be further described below with reference to the following examples, but it should not be understood that the scope of the present invention is limited to the following examples. Without departing from the above technical ideas of the present invention, various substitutions and modifications can be made according to common technical knowledge and customary means in the art, and all should be included in the scope of protection of the present invention.

[0033] Example 1:

[0034] During the milling process, the milling cutter is exposed to huge and high-frequency cutting forces, while high-speed friction generates a large amount of heat. These factors can cause the milling cutter head surface to wear or even break after a certain period of machining or a certain number of machining operations.

[0035] See also Figures 1-7 This embodiment provides an integrated intelligent milling cutter system that integrates tool vibration and force signals, including a cutter head 1, a tool rod 2, a housing 3, a clamping part 4, two vibration sensors 13, a PVDF force sensor 9 and a signal processing circuit board 15.

[0036] The clamping part 4 comprises a tool bar connecting part 401, a flange 402 and a taper shank 403 from the leading end to the trailing end. The tool bar connecting part 401 comprises a cylindrical segment I, a cylindrical segment II and a cylindrical segment III. The vibration sensor mounting groove 406 is formed on the side wall of the cylindrical segment I. The vibration sensor 13 is accommodated in the vibration sensor mounting groove 406. The keyway 404 is formed on the both sides of the flange 402. The tool shank through hole 408 is arranged on the clamping part 4 along the axial direction. Thus, the vibration sensor can be stably fixed with the tool shank, and the vibration signal can be reliably collected, which provides strong support for the subsequent vibration analysis in the machining process. The tool shank through hole 408 is arranged on the clamping part 4 along the axial direction.

[0037] The tool head 1 is connected to the leading end of the tool bar 2, and the trailing end extends into the leading end of the tool shank through hole 408. The PVDF force sensor 9 is pasted on the circumferential surface of the tool bar 2. PVDF is a piezoelectric film material with positive piezoelectric effect. In practical application, the thickness of the PVDF force sensor 9 pasted on the surface of the tool bar 2 is very small. When it is subjected to external force, the molecular structure in the PVDF force sensor 9 will be polarized, so that the electric charge is generated on the surface of the material. In this process, the strain generated by the tool head 1 is transmitted to the PVDF force sensor 9, and due to the positive piezoelectric effect, the PVDF film will generate electric charge. The generated electric charge signal enters the signal processing module 41 through the signal line, and the signal preprocessing module 41 will perform a series of processing operations on the electric charge signal, including signal amplification, filtering, conversion, etc. Finally, the electric charge signal is converted into a voltage signal. Through the previously established relationship between the strain and the output voltage, the size of the cutting force can be inversely deduced by using the voltage signal. Since the cutting force is usually a space vector with three directional components, the total cutting force signal can be decomposed into three mutually perpendicular forces, i.e. the size of the three-directional force, so that the size of the cutting force in different directions during cutting can be accurately mastered, which provides strong data support for the subsequent machining process analysis and optimization.

[0038] The shell 3 is sleeved on the periphery of the tool bar 2 and the clamping part 4. The shell 3 is a stepped rotary shell with open upper and lower ends. The shell 3 comprises a small-diameter segment and a large-diameter segment. The small-diameter segment covers the PVDF force sensor 9. The large-diameter segment covers the tool bar connecting part. The lower end of the shell 3 is closed by the conductive slip ring connecting part, and the gap between the upper end of the shell 3 and the tool bar 2 is arranged with the shell rubber sealing ring 8. The large-diameter segment and the cylindrical segment I surround the circuit board accommodating space. The large-diameter segment and the cylindrical segment II surround the circuit board base accommodating space. The large-diameter segment and the cylindrical segment III surround the battery compartment accommodating space.

[0039] The circuit board base 17 is arranged in the circuit board base accommodating space. The lower surface of the circuit board base 17 is arranged with a thermal flange 18, and the upper surface is arranged with a hexagonal copper column 16. The circuit board base 17 is fixedly installed on the thermal flange 18 using a circuit board base fixing screw 21. The battery compartment 20 is arranged in the battery compartment accommodating space. A plurality of lithium batteries 19 are arranged in the battery compartment 20. The top of the battery compartment 20 is fixed with the thermal flange 18. The signal processing circuit board 15 is arranged in the circuit board accommodating space. The signal processing circuit board 15 is fixedly installed on the hexagonal copper column 16 using a circuit board fixing screw 22. The lithium battery 19, the vibration sensor 13 and the PVDF force sensor 9 are all connected with the signal processing circuit board 15.

[0040] The integrated intelligent milling tool system is started by pressing the switch button 7, and the cutting state of the tool can be monitored. In the cutting process, the cutter head 1 is deformed under the action of cutting force, and corresponding strain is generated. The strain is transmitted to the PVDF force sensor 9 through the tool shank 2. The charge signal generated by the PVDF force sensor 9 is transmitted to the signal processing circuit board 15. The vibration sensor 13 senses the acceleration change caused by the vibration of the milling tool and transmits the voltage signal to the signal processing circuit board 15. The signal processing circuit board 15 encodes the sensor signal and transmits it to the upper computer.

[0041] In this embodiment, the vibration and force in the cutting process are collected and analyzed by the sensor, and the corresponding relationship between the vibration, force, cutting state of the tool and tool wear can be established, so that the abnormal state of processing can be fed back in time, and guidance for tool changing and other operations can be provided.

[0042] It is worth mentioning that in the acquisition process, the signals output by the vibration and force sensors are converted from mV analog signals to digital signals by an AD converter, and are transmitted to the main micro control chip through the SPI interface. The main micro control chip uses ASCII encoding, BCD encoding and other information encoding methods to express the signals in binary, and uses data encoding to convert the binary data into digital signals suitable for transmission. The encoded digital signals are transmitted to the wireless transmission module through the SPI interface at high speed, and the digital signals are modulated onto radio frequency waves through the wireless transmission module, so that the digital signals become a signal form suitable for transmission. Through the communication protocol, the signal is transmitted to the PC host computer. After receiving the signal on the PC, the signal is demodulated into a digital signal through the host computer program, and then further decoded into the original signal and displayed on the host computer. The main function of the host computer software is to control the data acquisition of the intelligent milling cutter and display the collected cutting data. Through the linkage with the wireless transmission module of the lower computer, the functions required for data acquisition such as setting, starting and stopping of acquisition are realized. The main functions of the host computer software include: it can be wirelessly connected with the lower computer of the intelligent milling cutter and communicate, and control the start and stop of the lower computer through the host computer software; it can receive the digital signals transmitted by the lower computer of the intelligent milling cutter in real time, and restore them to the original signals through decoding calculation; it can store the data collected by the lower computer of the intelligent milling cutter, and save it to the file by creating a path and a file name, so as to analyze it later; it can open and view historical data; it is provided with a prompt light for normal connection or operation, which is convenient for finding connection and operation problems encountered in the acquisition process.

[0043] The online monitoring interface of the host computer software includes collection data storage path selection and naming setting, alarm threshold setting, network connection setting, collection setting, collection start and end button, "wear prediction" and "feature monitoring" interface, "time domain waveform" and "frequency domain spectrum" interface. Among them, the collection data storage path and naming setting is used to select the collection signal storage path and file naming, click "path selection" to pop up the folder selection window, set the naming and click "confirm naming" to determine, if you want to change, click "rename"; the alarm threshold setting is used to set the vibration value of the judging drill, if the value exceeds the threshold, the status indicator light turns red to prompt failure; the network connection setting is used to set the network connection address and port number, when the wireless network connection is successful, the status displays "connected", the icon is in the connection state, and the intelligent milling cutter slave machine can receive the software signal; the collection setting is used to set the cutting signal collection frequency, wireless collection channel and trigger mode; the collection start and end button is used to control the start and end of the cutting signal collection, the software successfully sends the collection command to the tool holder slave machine, and the collection state indicator light is on; the "wear prediction" and "feature monitoring" interface is used to display the predicted wear value and the time domain, frequency domain feature transformation of the x, y, z three direction signals in real time, and draw the wear state change curve, with the functions of "data interval" (reduce the sampling interval), "data length" (the required time sequence signal length for single prediction), "model selection" (select the trained model of tool wear prediction); the "time domain waveform" and "frequency domain spectrum" interface is used to display the collection signal waveform and the corresponding frequency spectrum in real time.

[0044] The offline analysis interface of the host computer software includes loading file path and parameter setting, model training setting, running log interface. Among them, the loading file path and parameter setting is used to select the required historical file, the historical data is viewed by opening the file in the folder, after the file is loaded, the sampling frequency is set, and the "parameter confirmation" button is clicked to draw the images corresponding to "wear monitoring", "feature monitoring", "time domain waveform" and "frequency domain spectrum" of the historical file. The difference from online monitoring is that there is no need to set interval sampling and fixed window display time domain waveform; the model training setting includes selecting the model, sample data and label to be trained, clicking the "model migration training" button to update the current model, and the "training state" indicator light is on during the model training process; the running log interface is used to record the operation records, error feedback and abnormal conditions in detail, to ensure the traceability and stability of offline analysis work.

[0045] Example 2:

[0046] The main content of the embodiment is the same as that of embodiment 1, wherein the clamping part 4 is selected as a non-standard BT48 tool holder. The taper of the taper shank 403 is 7:24. On the basis of the existing milling cutter, the installation space and the installation groove are established, the vibration sensor and the force sensor are integrated and installed, and the sensors are combined with the milling cutter, so that the sensors can more accurately and efficiently identify and acquire the vibration and cutting force signals of the milling cutter in the milling process and transmit the signals to the upper computer software for display, storage and analysis.

[0047] Embodiment 3:

[0048] Referring to Figures 8-11 , the main content of the embodiment is the same as that of embodiment 1 or 2, wherein the signal processing circuit board 15 includes a wireless transmission module 14, a control module 37, a power supply module 40, a signal preprocessing module 41 and an analog-to-digital conversion module 42. Two different voltage signals are transmitted to the analog-to-digital conversion module 42 in the signal processing circuit board 15, and the voltage analog signal is converted into a digital signal. Then, the digital signal is sent to the main micro control chip of the control module 37. The main micro control chip converts the signal into a binary coded form by using information coding. Subsequently, the digital signal processed by coding is sent to the wireless transmission module 14 through the SPI interface in a high-speed transmission manner, so as to facilitate subsequent data transmission and processing operations.

[0049] The main function of the wireless transmission module 14 is to modulate the digital signal to the radio frequency wave, so as to convert the digital signal into a signal form suitable for transmission. Then, according to a specific communication protocol, the signal is transmitted to the upper computer. In the upper computer software, the received signal is demodulated to recover it into a digital signal by running a corresponding program. The main function of the upper computer software is online monitoring and offline analysis.

[0050] The online monitoring interface of the upper computer software includes a collection data storage path selection and naming setting 43, an alarm threshold setting 44, a network connection setting 45, a collection setting 46, a collection start and end button 47, a “wear prediction” and “feature monitoring” interface 48 and a “time domain waveform” and “frequency domain spectrum” interface 49.

[0051] The collection data storage path selection and naming setting 43 is used for selecting the path and file naming of the collected signal. After clicking the “path selection” button, a folder selection window is popped up. After setting the naming, the naming is determined by clicking the “confirm naming” button. At this time, the file naming and path selection cannot be changed. If it is necessary to change, the “rename” button can be clicked;

[0052] The alarm threshold setting 44 is used for setting the vibration value of the detection tool. When it is detected that the threshold is exceeded, the state indicating lamp turns red to prompt the fault;

[0053] The network connection setting 45 is used to input network connection address and port number, and the state is displayed as "connected" when the wireless network connection is successful, and the icon below is the connection state, at this time the tool holder lower computer can accept the signal sent by the software program;

[0054] The collection setting 46 is used to set the cutting signal collection frequency, wireless collection channel and signal collection trigger mode;

[0055] The collection start and end button 47 is used to control the start and end of the cutting signal collection, and the collection state indicator light is on when the software program successfully sends the collection command to the tool holder lower computer;

[0056] The "wear prediction" and "feature monitoring" interface 48 can display the predicted wear value and the time domain and frequency domain feature transformation of the x, y and z direction signals in real time, and perform image drawing, as shown in Figure 8 The figure, the change curve of the wear state during the cutting process can be directly observed, and the current wear value is displayed in the lower left corner. At the same time, this part has "data interval", "data length" and "model selection". Among them, "data interval" is used for interval sampling to reduce the amount of calculation; "data length" is the length of the time sequence signal required for single prediction; "model selection" is used to select the trained model used for tool wear prediction.

[0057] The "time domain waveform" and "frequency domain spectrum" interface 49 can display the collected signal waveform and the corresponding spectrum graph in real time;

[0058] The offline analysis interface of the upper computer software includes loading file path and parameter setting 50, model training setting 51 and running log interface 52.

[0059] The loading file path and parameter setting 50 is used to select the target historical file, view the historical data by opening the file in the folder, set the sampling frequency after loading the file, and click the "parameter confirmation" button to draw the images corresponding to "wear monitoring", "feature monitoring", "time domain waveform" and "frequency domain spectrum" of the historical file. The image part is basically the same as the online monitoring function, the difference is that local analysis does not need to set interval sampling and fixed window display time domain waveform;

[0060] The model training setting 51 is used to select the target training model, sample data and label, and click the "model migration training" button to update the current model. The "training state" indicator light is on during the model training process.

[0061] The running log interface 52 is used to record the operations performed and timely error and abnormal feedback.

[0062] The model algorithm of the host computer software program is used to further decode the demodulated digital signal, and finally restore it to the original signal for display and storage. Using the trained big data model can make decisions and analysis for new cutting conditions, so as to accurately judge and predict the wear condition and remaining life of the tool, and provide important reference for the actual machining process.

[0063] Embodiment 4:

[0064] The main content of this embodiment is the same as any one of embodiments 1-3, wherein six circumferential threaded holes 405 are drilled in the side wall of the cylindrical segment III. The shell 3 is fixed with the clamping part 4 by screws 5.

[0065] Embodiment 5:

[0066] The main content of this embodiment is the same as any one of embodiments 1-4, wherein three vibration sensor fixing threaded holes 407 are drilled in the groove bottom of the vibration sensor mounting groove 406. The vibration sensor 13 is fixedly connected with the clamping part 4 by vibration sensor fixing screws 29.

[0067] The side wall of the shell 3 is provided with a reserved hole position to adapt to the installation of the magnetic charging head 6 and the switch button 7. The circuit board containing space is provided with a charging interface card slot 10. The magnetic charging head 6 and the switch button 7 are connected with the signal processing circuit board 15.

[0068] Embodiment 6:

[0069] The main content of this embodiment is the same as any one of embodiments 1-5, wherein the battery compartment 20 is a hollow circular tube structure. The inner cavity of the battery compartment 20 is marked as a battery compartment middle through hole 36. The upper and lower ends of the battery compartment 20 extend outwardly to form a battery compartment top 35 and a battery compartment bottom 34. The side wall of the battery compartment 20 is provided with battery compartment rib plates 33 at equal intervals. The battery compartment top 35, the battery compartment bottom 34, the battery compartment rib plates 33 and the battery compartment 20 together enclose a plurality of independent battery accommodating cavities. The battery compartment top 35 is provided with an opening at the position corresponding to the battery accommodating cavity. The lithium battery 19 is slid into the battery accommodating cavity through the opening.

[0070] Embodiment 7:

[0071] The main content of the embodiment is the same as any one of embodiments 1-6, wherein the vibration sensor 13 is selected from ADI's ADXL334 sensor, and the vibration measurement principle is based on capacitive detection. The ADXL334 is mainly composed of a movable mass and a fixed electrode inside. When the sensor is subjected to vibration, the mass will displace due to the action of acceleration. This displacement will cause the capacitance between the mass and the fixed electrode to change. These capacitance change signals are amplified and processed by the signal conditioning circuit built-in the sensor, converting the weak capacitance change signal into a voltage signal that can be read by the microcontroller. Then, according to the sensitivity coefficient of the sensor, the corresponding acceleration size can be calculated by measuring the voltage signal. When the sensor is installed on the handle, it will sense the acceleration changes caused by the vibration of the milling cutter. The sensor continuously detects and converts these acceleration signals, so that the amplitude, frequency and other information of the vibration can be obtained, and the basic parameters are shown in Table 1.

[0072] Table 1 ADXL334 basic parameters

[0073]

Claims

1. An integrated intelligent milling cutter system that integrates tool vibration and force signals, characterized by: It comprises a cutter head (1), a cutter bar (2), a housing (3), a clamping part (4), two vibration sensors (13), a plurality of PVDF force sensors (9) and a signal processing circuit board (15); The clamping portion (4) includes a tool bar connecting portion (401), a flange (402) and a tapered shank (403) in sequence from the head end to the tail end; the tool bar connecting portion (401) includes a cylindrical section I, a cylindrical section II and a cylindrical section III in sequence; vibration sensor mounting grooves (406) are provided on both side walls of the cylindrical section I; the vibration sensor (13) is accommodated in the vibration sensor mounting groove (406); key grooves (404) are provided on both sides of the flange (402); and a tool shank through hole (408) is provided in the axial direction of the clamping portion (4); The head end of the knife rod (2) is connected to the knife head (1), and the tail end extends into the head end of the knife handle through hole (408); a plurality of PVDF force sensors (9) are attached to the shaft of the knife rod (2) along the circumferential direction; The shell (3) is sleeved on the periphery of the knife bar (2) and the clamping part (4); the shell (3) is a stepped rotary shell with upper and lower ends open; the shell (3) includes a small diameter section and a large diameter section; the small diameter section covers the PVDF force sensor (9); the large diameter section covers the knife bar connecting part (401); the lower end opening of the shell (3) is closed by a flange (402), and a shell rubber sealing ring (8) is arranged in the gap between the upper end opening and the knife bar (2); the large diameter section and the cylindrical section I enclose a circuit board accommodating space; the large diameter section and the cylindrical section II enclose a circuit board base accommodating space; the large diameter section and the cylindrical section III enclose a battery compartment accommodating space; A circuit board base (17) is arranged in the circuit board base accommodating space; a heat-shrink flange (18) is arranged on the lower surface of the circuit board base (17), and a hexagonal copper column (16) is arranged on the upper surface; the circuit board base (17) is fixedly mounted on the heat-shrink flange (18) using a circuit board base fixing screw (21); a battery compartment (20) is arranged in the battery compartment accommodating space; a plurality of lithium batteries (19) are arranged in the battery compartment (20); the top of the battery compartment (20) is fixed to the heat-shrink flange (18); a signal processing circuit board (15) is arranged in the circuit board accommodating space; the signal processing circuit board (15) is fixedly mounted on the hexagonal copper column (16) using a circuit board fixing screw (22); the lithium battery (19), the vibration sensor (13) and the PVDF force sensor (9) are all connected to the signal processing circuit board (15); During the cutting process, the cutter head (1) deforms under the action of the cutting force, generating corresponding strain; the strain is transmitted to the PVDF force sensor (9) through the cutter bar (2); the charge signal generated by the PVDF force sensor (9) is transmitted to the signal processing circuit board (15); the vibration sensor (13) senses the acceleration change caused by the vibration of the milling cutter and transmits the voltage signal to the signal processing circuit board (15); the signal processing circuit board (15) encodes the sensor signal and transmits it to the host computer.

2. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 1, characterized in that: Three vibration sensor fixing threaded holes (407) are drilled at the bottom of the vibration sensor installation groove (406); the vibration sensor (13) is fixedly connected to the clamping part (4) via vibration sensor fixing screws (29).

3. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 1, characterized in that: The signal processing circuit board (15) comprises a wireless transmission module (14), a control module (37), a power supply module (40), a signal preprocessing module (41) and an analog-to-digital conversion module (42); a lithium battery (19) is used to power the entire hardware circuit; a charging circuit of the power supply module (40) is used to charge the lithium battery (19), and a DC-DC voltage stabilizing circuit provides a corresponding stable voltage for circuit components; the signal preprocessing module (41) performs signal conditioning on the analog signal output by the sensor, and uses an AD converter inside the main microcontroller chip to convert the analog signal into a digital signal; and the wireless transmission module (14) is used to wirelessly transmit the data to the PC host software.

4. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 3, characterized in that: Holes are reserved on the side walls of the housing (3) to accommodate the installation of a magnetic charging head (6) and a switch button (7); a charging interface slot (10) is provided in the circuit board accommodating space; and both the magnetic charging head (6) and the switch button (7) are connected to a signal processing circuit board (15).

5. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 1, characterized in that: Six circumferential threaded holes (405) are drilled on the side wall of the cylindrical section III; the housing (3) is fixed to the clamping part (4) by screws (5).

6. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 1, characterized in that: The clamping portion (4) uses a non-standard BT50 tool handle; the taper of the tapered handle (403) is 7:

24.

7. The integrated intelligent milling cutter system integrating tool vibration and force signals according to claim 1, characterized in that: The battery compartment (20) is a hollow tubular structure as a whole; the inner cavity of the battery compartment (20) is marked as a battery compartment middle through hole (36); the upper and lower ends of the battery compartment (20) are open and extend outward to form a battery compartment top (35) and a battery compartment bottom (34); battery compartment ribs (33) are distributed at equal intervals on the side walls of the battery compartment (20); the battery compartment top (35), the battery compartment bottom (34), the battery compartment ribs (33) and the battery compartment (20) together enclose a plurality of independent battery accommodating cavities; the battery compartment top (35) is provided with an opening at a position corresponding to the battery accommodating cavity; the lithium battery (19) slides into the battery accommodating cavity through the opening.

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