Intelligent control system and full-automatic edge milling machine thereof

Abstract

The invention discloses an intelligent control system and a full-automatic edge milling machine thereof. An intelligent control system comprises: a workpiece parameter detection unit; a parameter calculation unit; an adaptive adjustment unit; optimizing the objective function unit; the main circuit comprises a working circuit which is provided with relays KM2-KM9 and is used for controlling the operation of the motors M1-M7; the driving circuit is provided with fuses FU1-FU2 and a TC circuit; and the control circuit is provided with a main circuit breaker QF and control chips UF1-UF3 which are connected in parallel, and the control chips UF1-UF3 send control signals to the drive circuit through the TC circuit according to the calculation result of the parameter calculation unit, so that automatic adjustment of the machining parameters is achieved. The intelligent control system is applied to the full-automatic edge milling machine. The intelligent control system and the full-automatic edge milling machine thereof have the following beneficial effects that the intelligent control system and the full-automatic edge milling machine thereof can recognize the size of a workpiece, and can adjust the milling speed and the feeding speed in real time according to a detection result, so that the machining precision and efficiency are improved.

Description

Technical Field

[0001] The invention relates to a control system of an edge milling machine and the edge milling machine, and in particular to an intelligent control system and a fully automatic edge milling machine. Background Art

[0002] Workpiece edge milling is an important process in mechanical processing, and its processing quality directly affects the appearance and performance of the product. Existing edge milling machines mainly use the high-speed rotation of the milling cutter to cut the edge of the workpiece. This processing method is widely used in the machinery manufacturing industry.

[0003] The existing workpiece edge milling process is usually as follows: first, the operator manually sets the milling cutter speed and feed speed according to the material and size parameters of the workpiece, especially the thickness of the workpiece; then fixes the workpiece on the workbench and starts the milling cutter motor; finally, the workpiece is driven by the feeding mechanism for edge milling. During the processing, the relative movement between the milling cutter and the workpiece completes the cutting and forming of the edge.

[0004] However, the main problem with existing edge milling machines is that the setting of processing parameters is too dependent on manual experience. Operators need to manually calculate and set the appropriate milling speed and feed speed according to the thickness of the workpiece, which is subjective and uncertain. Especially when processing workpieces of different specifications, the processing parameters need to be adjusted frequently, which not only increases the difficulty of operation, but also easily leads to improper parameter settings.

[0005] Due to the lack of accurate parameter control system, the processing accuracy of existing milling machines is difficult to guarantee. Slight changes in the thickness of the workpiece may affect the final processing effect, and the manually set parameters cannot respond in time.

[0006] Frequent manual parameter adjustments also waste a lot of time. Every time a workpiece of a different specification is changed, the operator needs to recalculate and set the processing parameters, which not only reduces the utilization rate of the equipment, but also increases production costs. At the same time, manual calculation and parameter setting methods are prone to errors, resulting in unstable processing quality.

[0007] Therefore, it is of great significance to develop a milling machine that can automatically identify the thickness of the workpiece and intelligently adjust the processing parameters. This intelligent control system and its milling machine have the function of automatically detecting the size of the workpiece, and can adjust the milling speed and feed speed in real time according to the detection results, thereby improving the processing accuracy and efficiency, and realizing the intelligence and standardization of the processing process. Summary of the invention

[0008] The purpose of the present invention is to provide an intelligent control system and a fully automatic edge milling machine thereof, which can identify the size of a workpiece and adjust the milling speed and feed speed in real time according to the detection result, thereby improving the processing accuracy and efficiency.

[0009] The above technical objectives of the present invention are achieved through the following technical solutions: An intelligent control system, comprising: Workpiece parameter detection unit, used to detect the thickness parameters of the workpiece in real time; A parameter calculation unit, used for calculating the milling speed, feed speed and cutting depth required for the machining process according to the detected workpiece parameters; An adaptive adjustment unit, used to dynamically adjust processing parameters according to calculation results; Optimize the objective function unit and determine the optimal parameter configuration based on the dynamic adjustment of processing parameters; The main circuit includes: a working circuit, which is provided with relays KM2-KM9 for controlling the operation of motors M1-M7; a driving circuit, which is provided with fuses FU1-FU2 and a TC circuit; a control circuit, which is provided with a main circuit breaker QF and parallel control chips UF1-UF3, wherein: the control chip UF1 is used to control the movement of the milling cutter; the control chip UF2 is used to control the feed of the workpiece; the control chip UF3 is used to control the position of the slide; the control chips UF1-UF3 send control signals to the driving circuit through the TC circuit according to the calculation results of the parameter calculation unit, so as to realize automatic adjustment of the processing parameters.

[0010] The present invention is further configured as follows: the calculation of the parameter calculation unit includes: Calculation of size deviation rate: , used to calculate the deviation between the actual thickness of the workpiece and the target thickness; Feed speed calculation: , used to determine the feed speed of the workpiece according to the deviation rate; Spindle speed calculation: , used to determine the speed of the milling cutter according to the deviation rate; Cutting depth calculation: , used to determine the cutting depth based on the workpiece thickness and tool wear status; Cutting speed calculation: , used to determine the cutting speed based on the tool diameter and spindle speed; Power estimation: , used to calculate the power required for the machining process.

[0011] The present invention is further configured as follows: the adaptive adjustment unit comprises: Dynamic update adjustment coefficient calculation module: , used to update the feed speed coefficient and spindle speed coefficient according to the actual processing effect; Parameter dynamic change calculation module: ; , which is used to adjust the feed rate and spindle speed in real time according to the updated coefficients.

[0012] The present invention is further configured as follows: The parameter dynamic change calculation module is also provided with constraint conditions, including: Cutting force constraints: ; Power Constraints: ; Surface quality constraints: .

[0013] The present invention is further configured as follows: the optimization objective function: , used to configure the optimal parameters.

[0014] The present invention is further configured as follows: in the working circuit: Relays KM2 and KM3 are used to control the forward and reverse rotation of motors M1 and M2; Relays KM4 and KM5 are used to control the forward and reverse rotation of motors M3 and M4; Relays KM6 and KM7 are used to control the forward and reverse rotation of motor M5; Relays KM8 and KM9 are used to control the forward and reverse rotation of motor M7.

[0015] A fully automatic edge milling machine, using the above-mentioned intelligent control system, comprises a bracket, on which a tool control device and a feed control device are arranged; The tool control device comprises: A milling cutter, wherein the milling cutter is connected to a driving shaft, and the driving shaft is connected to the bracket by a bearing; A tool holder is arranged outside the driving shaft, and a support plate is fixedly connected to the end of the tool holder; Two motors one, connected to the drive shaft via a belt; The servo motor four is arranged on both sides of the support plate, and its output shaft is fixedly connected to the bracket; The feed control device comprises: A plurality of rollers are arranged in sequence on the bracket and connected with bearings between the brackets; A slide seat, which is arranged above the roller shaft and can move up and down; The roller is arranged in the middle of the slide seat and corresponds to the roller shaft.

[0016] The present invention is further configured to include a bracket, on which a tool control device and a feed control device are arranged; The tool control device comprises: A milling cutter, wherein the milling cutter is connected to a driving shaft, and the driving shaft is connected to the bracket by a bearing; A tool holder is arranged outside the driving shaft, and a support plate is fixedly connected to the end of the tool holder; Two motors one, connected to the drive shaft via a belt; The servo motor four is arranged on both sides of the support plate, and its output shaft is fixedly connected to the bracket; The feed control device comprises: A plurality of rollers are arranged in sequence on the bracket and connected with bearings between the brackets; A slide seat, which is arranged above the roller shaft and can move up and down; The roller is arranged in the middle of the slide and corresponds to the roller shaft; The present invention is further configured as follows: two pull rods are connected to the top of the slide seat, a motor three is connected to the top of the pull rods, and the motor three is a servo motor.

[0017] In summary, the present invention has the following beneficial effects: The present invention can automatically identify the specifications of the workpiece by combining the control chip (UF1, UF2, UF3) with the sensor to detect the thickness, size and other parameters of the workpiece in real time, and dynamically adjust the processing parameters such as milling speed, feed speed, cutting depth and milling angle according to the detection results. Compared with the traditional method of setting processing parameters based on manual experience, the present invention significantly reduces the possibility of manual intervention, reduces subjectivity and uncertainty, and improves processing accuracy and production stability.

[0018] The present invention adopts a dynamic parameter adjustment algorithm based on the thickness deviation rate, and automatically optimizes the processing process through a nonlinear calculation formula. The system can intelligently adjust the feed speed and spindle speed according to real-time data, so that the processing process can quickly respond to changes in workpiece thickness, while ensuring the operating stability and cutting efficiency of the tool. This design solves the problem of time waste and operational complexity caused by frequent parameter adjustment when processing workpieces of different specifications on traditional milling machines, thereby significantly improving equipment utilization and production efficiency.

[0019] The present invention ensures the safety and stability of the machining process by setting cutting force constraints, power constraints and surface quality constraints, avoiding problems such as milling cutter overload and equipment overheating, while extending the service life of the tool and equipment and reducing maintenance costs. The dynamic adjustment algorithm also uses exponential decay terms and smoothing technology to avoid over-adjustment or parameter oscillation, further improving the stability and accuracy of the machining process.

[0020] Through the coordinated work of the tool control device, the feed control device and the slide control device, the present invention realizes a fully automated process from workpiece feeding, milling to completion. The organic combination of the main circuit and the control circuit enables the equipment to monitor the workpiece status in real time during the processing, dynamically adjust the processing parameters, and ensure the processing process is efficient, accurate and stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural diagram of a fully automatic edge milling machine; Figure 2 It is a rear view structural diagram of the fully automatic edge milling machine; Figure 3 It is a schematic diagram of the structure of the fully automatic edge milling machine from an upward perspective; Figure 4 It is the main circuit and driving circuit diagram of the intelligent control system of the fully automatic edge milling machine; Figure 5 It is the control circuit diagram of the intelligent control system of the fully automatic edge milling machine; Figure 6 This is a flow chart of the control chips UF1-UF3 in the intelligent control system.

[0022] Figure numerals: 1. bracket; 2. tool control device; 3. feed control device; 4. milling cutter; 5. drive shaft; 6. tool holder; 7. support plate; 8. motor one; 9. motor four; 10. roller; 11. slide seat; 12. roller; 13. gear; 14. motor two; 15. pull rod; 16. motor three; 17. motor five; 18. screw rod. DETAILED DESCRIPTION

[0023] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "page", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicating orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0024] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0025] In the description of the present invention, "multiple" means two or more than two, unless otherwise clearly defined. In the present invention, unless otherwise clearly defined and defined, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0026] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0027] like Figure 1-Figure 3 As shown, a fully automatic edge milling machine comprises a bracket 1. The bracket 1 is provided with a tool control device 2 and a feed control device 3 for inputting a workpiece.

[0028] 1. Tool control device 2 The tool control device 2 is provided with two groups, including a milling cutter 4. The milling cutter 4 is connected to a driving shaft 5. The milling cutter 4 is arranged on the bracket 1 so that the driving shaft 5 is connected to the bracket 1 by a bearing. A tool holder 6 is arranged outside the driving shaft 5 to protect the driving shaft 5 from the external environment. A support plate 7 is fixedly connected to the end of the tool holder 6. One end of the driving shaft 5 passing through the support plate 7 is connected to two motors 8 through belts. The driving shaft 5 is rotated by the rotation of the motor 8, thereby ensuring the high-speed operation of the milling cutter 4.

[0029] Correspondingly, the tool control device 2 also includes a servo motor 9 disposed on both sides of the support plate 7. The output shaft at the end of the motor 9 is fixedly connected to the bracket 1. When the motor 9 is working, it can drive the support plate 7 of the tool adjustment device to swing, thereby adjusting the angle of the milling cutter 4, and milling the workpiece according to different angle setting requirements.

[0030] 2. Feed control device 3 The feed control device 3 includes a plurality of rollers 10 arranged in sequence on a bracket 1. The rollers 10 are connected to the bracket 1 by bearings. A slide 11 that can move up and down is arranged above the roller 10. A roller 12 corresponding to the roller 10 is arranged in the middle of the slide 11. The rollers 12 are connected to the slide 11 by bearings. The rollers 12 are meshed and connected to each other through an odd number of gears 13. One end of one of the rollers 12 is connected to a motor 2 14. When the motor 2 14 is working, it can drive the roller 12 to rotate, and then make each roller 12 rotate in the same direction. The friction between the multiple rollers 12 rotating in the same direction and the roller 10 can push the workpiece to move.

[0031] Correspondingly, two tie rods 15 are connected to the top of the slide 11. A motor 3 16 is connected to the top of the tie rod 15. The motor 3 16 is a servo motor. Through the operation of the motor 3 16, the tie rod 15 drives the slide 11 to move up and down as a whole. The slide 11 can contact the workpiece, thereby driving the workpiece to feed.

[0032] Optimized, the tool control device 2 and the feed control device 3 described in the present application are connected to the top with a motor 5 17, and the motor 5 17 drives the whole to slide back and forth on the horizontal plane through the movement of the screw rod 18, thereby adjusting the position of the tool control device 2 and the feed control device 3.

[0033] For the above-mentioned edge milling machine, the present application also provides an intelligent control system for a fully automatic edge milling machine. The intelligent control system can automatically identify the size of the workpiece, and can adjust the milling speed and feed speed according to the detection results to improve the processing accuracy and production efficiency. The details are as follows: The invention discloses an intelligent control system for a full-automatic edge milling machine, comprising a main power supply and a control circuit.

[0034] like Figure 4 As shown, the main circuit includes a working circuit and a driving circuit. The working circuit includes relays KM2-KM9, a total of 8 relay modules.

[0035] Relay KM1 is used to control the control circuit.

[0036] In order to achieve the purpose of controlling the rotation of the tool in the tool control device. Relay KM2 is connected to the motor M1. Relay KM3 is connected to the motor M2. Relay KM3 is connected in parallel with relay KM2. When relay KM2 is closed, motors M1 and M2 rotate forward. When relay KM3 is closed, motors M1 and M2 rotate reversely.

[0037] Relay KM4 is connected to motor M3. Relay KM5 is connected to motor M4. Relay KM4 and relay KM5 are connected in parallel. When relay KM4 is closed, motor M3 and motor M4 rotate forward. When relay KM5 is closed, motor M3 and motor M4 rotate reversely.

[0038] Through the above settings, the rotation speed and rotation direction of the tools in the two tool control devices are controlled, thereby ensuring that the milling cutter has good stability during operation. Among them, the motors M1-M4 are four motors in the two tool control devices.

[0039] In order to achieve the technical purpose of controlling the feeding speed and feeding direction in the feeding control device. Relay KM6 is connected to motor M5, and relay KM7 is connected in parallel with relay KM6. When relay KM6 is closed, motor M5 rotates forward, and when relay KM7 is closed, motor M5 rotates reversely. Through the above settings, the feeding direction can be adjusted by switching relay KM6 and relay KM7. The feeding speed is controlled by the output power of motor M5. The above motor M5 is motor 2.

[0040] In order to achieve the technical purpose of controlling the position of the slide in the feed control device, so that the roller and the roller shaft squeeze the workpiece and drive the workpiece to move by friction. Relay KM8 is connected to motor M7. Relay KM9 is connected in parallel with relay KM8. When relay KM8 is closed, motor M7 rotates forward and the slide moves down. When relay KM9 is closed, motor M7 rotates reversely and the slide moves up.

[0041] Through the above arrangement, the relay KM8 and the relay KM9 change the moving direction of the slide, so that the slide can contact or separate from the workpiece. The above motor M7 is motor three.

[0042] Furthermore, the driving circuit includes fuses FU1-FU2. A TC circuit is provided between fuse FU1 and fuse FU2. The TC circuit is connected to the control circuit signal, thereby performing corresponding action control on the driving circuit.

[0043] The drive circuit includes a main switch SB1, switches SB2-SB5, contactors KM1-KM9, and normally closed switches KM2-KM9. Among them, the drive circuit is divided into branches one to five. Branch one includes contactor KM1. When contactor KM1 is closed, the control circuit starts to be powered on. Branch two is controlled by switch SB2, which is divided into two circuits, namely circuit A and circuit B. Circuit A includes contactor KM2, and contactor KM2 is connected to switch KM3. Circuit B includes contactor KM3, and contactor KM3 is connected to switch KM2. When switch SB2 is switched to circuit A, contactor KM2 works. At this time, switch KM2 in circuit B is disconnected, and contactor KM3 is disconnected. At this time, motor M1 and motor M2 rotate forward. When switch SB2 is switched to close circuit B, contactor KM3 is closed, so that the normally closed switch KM3 in circuit A is disconnected, and motor M1 and motor M2 rotate in reverse.

[0044] Similarly, when contactor KM4 in branch three is closed, contactor KM5 is open, and motor M3 and motor M4 rotate forward; when contactor KM4 is open and contactor KM5 is closed, motor M3 and motor M4 rotate reversely.

[0045] When contactor KM6 in branch four is closed, contactor KM7 is open and motor M5 rotates forward; when contactor KM6 is open and contactor KM7 is closed, motor M5 rotates reversely.

[0046] When contactor KM8 in branch five is closed, contactor KM9 is open and motor M6 rotates forward; when contactor KM8 is open and contactor KM9 is closed, motor M5 rotates reversely.

[0047] The above-mentioned driving circuit provides an isolation function to prevent the circuit from being short-circuited and causing the equipment to be overloaded and burned.

[0048] like Figure 5 As shown, the control circuit includes a main circuit breaker QF. The main circuit breaker QF is connected to a normally open switch KM1. When the drive circuit is powered on, the contactor KM1 works, so that the normally open switch KM1 is closed, and the control circuit is powered on.

[0049] The normally open switch KM1 is connected in parallel with control chips UF1-UF3. Control chip UF1 is used to control the tool control device. Control chip UF2 is used to control the roller operation in the feed control device, and control chip UF3 is used to control the up and down movement of the slide.

[0050] The control chip UF1 is connected to motors D1 to D4. Motors D1 and D2 are used to control the circuit switching of switch SB2. Motors D3 and D4 are used to control the circuit switching of switch SB3.

[0051] The control chip UF2 is connected to the motor D5-motor D8. The motor D5 and the motor D6 are used to control the milling angles of the two sets of tools. The motor D7 and the motor D8 are used to control the switch SB4, that is, to control the forward and reverse rotation of the roller.

[0052] The control chip UF3 is connected to the motor D9 and the motor D10. The motor D9 and the motor D10 are used to control the switch SB5, which is used to control the up and down movement of the slide.

[0053] As mentioned above, the control chip UF1-control chip UF3 transmits signals to the drive motor through the TC circuit to control the working process of each contactor. The control chip UF1-UF3 is connected to the working circuit in the main circuit through pins R1, S1, and T1 to form a closed loop.

[0054] Overall working process: 1. Power-on preparation stage: The three-phase AC power supply is connected to the system through the main circuit breaker QF to supply power to the entire circuit.

[0055] The control chips UF1, UF2, and UF3 enter the standby state, ready to receive the start signal.

[0056] 2. Start-up phase: The operator presses the switch SB1, and the start signal is transmitted to the control chips UF1, UF2, and UF3 through the control circuit. The control chips UF1-UF3 convert the start signal into a drive signal to start each circuit. Specifically: The tool control device starts (UF1 control), and the tool motor starts to rotate, ready for milling.

[0057] The slide in the feed control device moves down (UF3 control) and contacts the workpiece entering the support.

[0058] Input the milling angle, adjust the milling cutter angle through the control chip UF2, and make the roller in the feed control device rotate (UF3 control). The sensor detects the input state of the workpiece, determines the thickness of the workpiece, and adapts to the thickness of the workpiece through the algorithm to change the parameters and feedback the control chips UF1-UF3.

[0059] 3. Edge milling stage: After the adjustment parameters are completed, the workpiece is sent to the milling position. The milling cutter rotates at high speed to mill the edge of the workpiece. At the same time, the sensor detects the edge status of the workpiece to ensure that the processing process meets the preset requirements. If an abnormality is detected (such as workpiece offset or irregular edge), the sensor will feed back the signal to the control chip UF1-UF3, triggering a shutdown or adjustment action.

[0060] 4. Stop phase: The operator presses the stop button (SB1), the entire circuit is disconnected, and the machine waits for the next processing.

[0061] Through the collaboration of the main circuit and the control circuit, the automated process of the workpiece from feeding to processing to completion is realized. The main circuit provides power for the motor, and the control module (UF1, UF2, UF3) is responsible for the operation of the tool motor, the control of feeding and conveying, and the monitoring of the workpiece status. The entire process is closed-loop with sensor feedback, and the parameters are adjusted dynamically in real time to ensure the efficiency and accuracy of the processing. At the same time, it has overcurrent protection and fault shutdown functions to ensure the safe operation of the equipment.

[0062] like Figure 6 As shown, in order to show the magnitude and effect of parameter changes, the present application also provides an overall parameter adjustment algorithm for control chips UF1-UF3. It includes the following steps: 1. Parameter detection and calculation: (1) Calculate the dimensional deviation rate: The deviation rate is the main basis for overall parameter adjustment, which is used to measure the degree of deviation between the workpiece thickness and the target thickness. In order to avoid excessive adjustment due to excessive deviation rate, the following nonlinear calculation formula is used for calculation:

[0063] Where: T: real-time detected workpiece thickness. T0=10mm: target thickness. k: adjustment coefficient (k=0.5 is acceptable), used to control the growth rate of the deviation rate.

[0064] When T is close to T0, the above formula shows a linear growth. When T deviates from T0, the deviation rate tends to be stable to prevent over-adjustment.

[0065] (2) Calculation of workpiece feed speed:

[0066] Among them, F0=100mm / min: basic feed speed; K F =0.8: negative correlation adjustment coefficient, dynamically updated. δT: thickness deviation rate; F limit : Feed speed limit value (such as 0.4F0 or 1.5F0); exponential decay term When the feed speed approaches the limit, reduce the adjustment range to avoid oscillation.

[0067] (3) Calculation of spindle speed:

[0068] Where, S0=3000rpm: reference spindle speed. K S =1.2: positive correlation adjustment coefficient, dynamically updated; δT: thickness deviation rate. S limit : The limit value of the spindle speed (can be 0.7S0 or 1.8S0).

[0069] (4) Calculation of cutting depth: Cutting depth a p Dynamic adjustment based on workpiece thickness and tool wear status:

[0070] Where, T: the workpiece thickness detected in real time. η∈[0.5,1.0]: tool wear compensation factor, dynamically adjusted (tool status is monitored through vibration signals).

[0071] (5) Calculation of cutting speed

[0072] Where, D is tool diameter, in mm; S is spindle speed, in rpm.

[0073] (6) Power estimation:

[0074] Among them, C m ≥1, is the material hardness coefficient, used to correct the power output. S: spindle speed, ap : Cutting depth. F: Feed speed.

[0075] Through the above-mentioned parameter detection and calculation process, the workpiece size, material hardness and other conditions are fully detected, and the corresponding milling cutter parameters and roller feed parameters are adjusted according to the situation of the workpiece.

[0076] 2. Adaptive adjustment (1) Dynamic update of adjustment coefficient calculation: Adjustment coefficient K F and K S Indicates the feedback dynamic coefficient during the processing, and reduces noise interference through smoothing, specifically:

[0077] Where, λ=0.95: smoothing coefficient, controlling the amplitude of adjustment update; ΔF=(F actual −F expected ) / F0: Feed speed deviation; ΔS=(S actual −S expected ) / S0: spindle speed deviation; ϵ F ,ϵ S : Update threshold, used to avoid unnecessary parameter updates caused by small noise.

[0078] (2) Calculation of dynamic parameter changes: Real-time response and adjustment of parameter changes, as follows: ;

[0079] Among them, in the feed speed adjustment formula, F(t): feed rate at current time t.

[0080] F(t-1): feed rate at the previous moment t-1.

[0081] △F(t): The change in feed speed at the current time t.

[0082] K p : Feed speed adjustment coefficient (negative correlation coefficient), which indicates the influence of thickness deviation change on feed speed.

[0083] δT(t): thickness deviation rate at the current time t, that is:

[0084] δT(t-1): Thickness deviation rate at the previous moment t-1.

[0085] F0: Basic feed speed.

[0086] Among them, the spindle speed adjustment formula is: S(t): The spindle speed at the current time t.

[0087] S(t-1): The spindle speed at the previous moment t-1.

[0088] ΔS(t): The change in spindle speed at the current time t.

[0089] K S : Spindle speed adjustment coefficient (positive correlation coefficient), which indicates the influence of thickness deviation change on spindle speed.

[0090] δT(t): Thickness deviation rate at current time t.

[0091] δT(t-1): Thickness deviation rate at the previous moment t-1.

[0092] S0: Basic spindle speed.

[0093] Through the above formula, the change of the spindle speed parameter is proportional to the change of the deviation rate, and the change of the feed speed parameter is inversely proportional to the change of the deviation rate, which is used to adjust and respond to parameter changes in real time. Under the above settings, when the workpiece thickness deviation rate increases, the feed speed decreases, the spindle speed increases, and sufficient milling is achieved. When the workpiece thickness deviation rate decreases, the feed speed increases and the spindle speed decreases, reducing damage to the tool while ensuring sufficient milling.

[0094] 3. Constraints: Through cutting force constraints, specifically:

[0095] Through power constraints, specifically:

[0096] Through surface quality constraints, specifically:

[0097] Through the above constraints, the cutting load can be controlled to prevent the milling cutter from overloading, the power can be limited to prevent the motor from overloading and burning, and the ratio of cutting speed to feed speed can be guaranteed to meet the surface quality requirements.

[0098] 4. Optimize the objective function Taking into account thickness deviation, corresponding parameter changes, energy consumption, etc., the objective function is optimized:

[0099] Among them, w1, w2, w3, w4 are weight coefficients, satisfying w1+w2+w3+w4=1. Minimize the objective function J to achieve the optimal configuration of the machining process, achieve higher machining accuracy, machining stability and prevent component overload.

[0100] The following example calculation is used to illustrate the algorithm process of the present invention: Specific workpiece parameters are selected for calculation to show how the algorithm dynamically adjusts the machining parameters.

[0101] 1. Workpiece thickness: The actual detected workpiece thickness is T = 12mm.

[0102] Target thickness T0 = 10 mm.

[0103] 2. Benchmark parameters: The basic feed speed F0 = 100 mm / min.

[0104] The basic spindle speed S0 = 3000rpm.

[0105] Cutting depth reference value a p = 1.5mm.

[0106] Tool diameter D = 50mm.

[0107] Material hardness coefficient C m = 1.2.

[0108] 3. Adjustment coefficient: Thickness deviation adjustment coefficient k = 0.5.

[0109] Feed speed adjustment coefficient K F = 0.8.

[0110] Spindle speed adjustment factor K S = 1.2.

[0111] 4. Constraints: Feed speed limit F limit = [40mm / min, 150mm / min].

[0112] Spindle speed limit S limit = [2100rpm, 5400rpm].

[0113] 1. Calculation of thickness deviation rate According to the formula δT = k × (T - T0) / T0, calculate the thickness deviation rate: δT = 0.5 × (12 - 10) / 10 = 0.5 × 0.2 = 0.1 2. Workpiece feed speed calculation According to the formula F = F0 × (1 - K F × δT), calculate the feed speed: F = 100 × (1 - 0.8 × 0.1) = 100 × (1 - 0.08) = 100 × 0.92 = 92mm / min At the same time, check the constraints, F limit = [40, 150], feed rate 92mm / min is within the limit and valid.

[0114] 3. Spindle speed calculation According to the formula S = S0 × (1 + K S × δT), calculate the spindle speed: S = 3000 × (1 + 1.2 × 0.1) = 3000 × (1 + 0.12) = 3000 × 1.12 =3360rpm Check constraints, S limit = [2100, 5400], the spindle speed of 3360rpm is within the limit and is valid.

[0115] 4. Calculation of cutting depth According to formula a p = η × T / 10 (assuming tool wear compensation factor η = 0.8), calculate the cutting depth.

[0116] a p = 0.8 ×12 / 10 = 0.8 × 1.2 = 0.96mm 5. Cutting speed calculation According to the formula V c = π × D × S / 1000, calculate the cutting speed: V c = π× 50 × 3360 / 1000 = 3.1416 × 50 × 3360 / 1000 = 527.79m / min 6. Power estimation According to the formula P = C m × a p × F × V c / 60, calculate power: P = 1.2 × 0.96 × 92 × 527.79 / 60 = 1.2 × 0.96 × 92 × 8.7965 =929.4W Calculation results: 1. Thickness deviation rate: 0.1 2. Feed speed: 92 mm / min 3. Spindle speed: 3360 rpm 4. Cutting depth: 0.96 mm 5. Cutting speed: 527.79 m / min 6. Power estimation: 929.4 W In the above calculation process, the system dynamically adjusted the feed speed to 92 mm / min, the spindle speed to 3360 rpm, and the cutting depth to 0.96 mm based on the actual thickness of the workpiece, which was 12 mm, and the deviation from the target thickness of 10 mm. The above parameter adjustments enable the milling cutter to fully mill during the processing process while avoiding overload or reduced processing quality due to increased workpiece thickness.

[0117] The intelligent control system of the present invention can respond to the workpiece status and adjust the processing parameters in real time to ensure processing accuracy and efficiency while meeting the requirements of safety and energy consumption optimization.

[0118] Through the above-mentioned algorithm setting, the corresponding workpiece parameters can be detected by sensors in real time, and then the milling cutter speed and feed speed can be adjusted. On the basis of sufficient milling, the adaptability and automation capabilities of the overall intelligent control system can be improved, and different milling measures can be taken for different workpieces. Compared with the manual adjustment of parameters, the edge milling machine described in the present invention has a higher degree of full automation and accuracy, thereby improving processing accuracy and ensuring production efficiency.

[0119] In summary, the present invention realizes a comprehensive intelligent upgrade of the milling process through an intelligent control system and its fully automatic edge milling machine, and has significant technical effects. Specifically: by introducing sensors to detect key parameters such as workpiece size and thickness in real time, the system can automatically optimize processing parameters based on dynamic adjustment algorithms, including milling speed, feed speed and cutting depth. This intelligent feedback mechanism effectively solves the subjectivity and uncertainty problems caused by the traditional edge milling machine's reliance on manual experience to set parameters, and improves processing accuracy and stability. At the same time, the realization of dynamic updating of the adjustment coefficient enables the system to quickly respond to changes in the state of the workpiece, adapt to workpieces of different specifications and materials, and improve the adaptability and automation of the equipment.

[0120] The present invention optimizes the objective function, balances the processing efficiency and energy consumption on the basis of ensuring the processing accuracy, and further improves the overall performance. Constraint setting ensures the safe operation of the equipment, prevents overload and burnout, prolongs the service life of the tool and equipment, and reduces maintenance costs. By combining the parameter adjustment formula with nonlinear calculation and exponential decay terms, the problem of over-adjustment or response lag is avoided, ensuring the stability and efficiency of the processing process.

[0121] Through the coordinated work of the tool control device and the feed control device, full automated control from workpiece feeding to the processing process is achieved, which significantly reduces manual intervention and improves production efficiency.

[0122] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. An intelligent control system, characterized in that: include: Workpiece parameter detection unit, used to detect the thickness parameters of the workpiece in real time; A parameter calculation unit, used for calculating the milling speed, feed speed and cutting depth required for the machining process according to the detected workpiece parameters; An adaptive adjustment unit, used to dynamically adjust processing parameters according to calculation results; Optimize the objective function unit and determine the optimal parameter configuration based on the dynamic adjustment of processing parameters; The main circuit includes: a working circuit, which is provided with relays KM2-KM9 for controlling the operation of motors M1-M7; a driving circuit, which is provided with fuses FU1-FU2 and a TC circuit; The control circuit is provided with a main circuit breaker QF and parallel control chips UF1-UF3, wherein: The control chip UF1 is used to control the movement of the milling cutter; The control chip UF2 is used to control the workpiece feeding; The control chip UF3 is used to control the position of the slide; The control chip UF1-UF3 sends a control signal to the drive circuit through the TC circuit according to the calculation result of the parameter calculation unit, so as to realize automatic adjustment of the processing parameters.

2. The intelligent control system according to claim 1, characterized in that: The calculation of the parameter calculation unit includes: Calculation of size deviation rate: , used to calculate the deviation between the actual thickness of the workpiece and the target thickness; Feed speed calculation: , used to determine the feed speed of the workpiece according to the deviation rate; Spindle speed calculation: , used to determine the speed of the milling cutter according to the deviation rate; Cutting depth calculation: , used to determine the cutting depth based on the workpiece thickness and tool wear status; Cutting speed calculation: , used to determine the cutting speed based on the tool diameter and spindle speed; Power estimation: , used to calculate the power required for the machining process.

3. The intelligent control system according to claim 1, characterized in that: The adaptive adjustment unit comprises: Dynamic update adjustment coefficient calculation module: , used to update the feed speed coefficient and spindle speed coefficient according to the actual processing effect; Parameter dynamic change calculation module: ; ; Used to adjust feed rate and spindle speed in real time according to the updated coefficients.

4. The intelligent control system according to claim 3, characterized in that: The parameter dynamic change calculation module is also provided with constraint conditions, including: Cutting force constraints: ; Power Constraint: ; Surface quality constraints: .

5. The intelligent control system according to claim 1, characterized in that: The optimization objective function is: , used to configure the optimal parameters.

6. The intelligent control system according to claim 1, characterized in that: In the working circuit: Relays KM2 and KM3 are used to control the forward and reverse rotation of motors M1 and M2; Relays KM4 and KM5 are used to control the forward and reverse rotation of motors M3 and M4; Relays KM6 and KM7 are used to control the forward and reverse rotation of motor M5; Relays KM8 and KM9 are used to control the forward and reverse rotation of motor M7.

7. A fully automatic edge milling machine, characterized in that: It comprises a bracket, on which a tool control device and a feed control device are arranged; The tool control device comprises: A milling cutter, wherein the milling cutter is connected to a driving shaft, and the driving shaft is connected to the bracket by a bearing; A tool holder is arranged outside the driving shaft, and a support plate is fixedly connected to the end of the tool holder; Two motors one, connected to the drive shaft via a belt; The servo motor four is arranged on both sides of the support plate, and its output shaft is fixedly connected to the bracket; The feed control device comprises: A plurality of rollers are arranged in sequence on the bracket and connected with bearings between the brackets; A slide seat, which is arranged above the roller shaft and can move up and down; The roller is arranged in the middle of the slide and corresponds to the roller shaft; The edge milling machine is controlled by the intelligent control system described in any one of claims 1-6.

8. The fully automatic edge milling machine according to claim 7, characterized in that: The rollers are meshed and connected with each other through an odd number of gears, and one end of one of the rollers is connected to motor 2.

9. The fully automatic edge milling machine according to claim 7, characterized in that: Two pull rods are connected to the top of the slide seat, and a motor three is connected to the top of the pull rods. The motor three is a servo motor.

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