44 results about "Speeds and feeds" patented technology

The invention discloses a numerical control machining equipment state monitoring system based on big data analysis, and relates to the technical field of intelligent manufacturing. The method is used for solving the problems of correlation analysis and real-time feedback between tool wear and machining quality in the machining process. A time sequence correlation feature vector is extracted through a vibration signal, an acoustic emission signal and main shaft axial micro-displacement data, a machining quality degradation index is calculated in combination with a nonlinear regression model, and the machining quality is monitored in real time. And on the basis of adaptive feature weight adjustment of the types of the processing materials, feature fusion during processing of different materials is enhanced, and the precision of quality evaluation is improved. And establishing a nonlinear mapping relation between the tool wear and the surface roughness by utilizing a gradient lifting tree model, and realizing accurate prediction of the tool wear and the machining quality. And finally, through a closed-loop dynamic adjustment mechanism, the cutting speed and the feeding amount are automatically adjusted according to the machining quality degradation index and the fault positioning result, and the stability of the machining process and the product quality are ensured.

The invention relates to the technical field of numerical control machining monitoring, and particularly discloses a numerical control machining self-adaptive control system based on the internet of things, which comprises a data acquisition module, an abnormity identification module, a data processing module, a data processing module and a data processing module, and is characterized in that the data acquisition module acquires various parameters of numerical control machining equipment in real time through a high-precision sensor; the influence degree analysis module identifies whether abnormal fluctuation exists in the machining process or not, the influence degree analysis module evaluates the influence degree of the abnormal fluctuation in the machining process on the basis of changes of the cutting speed and the feeding amount and carries out training and prediction in combination with a machine learning model, and the self-adaptive control and feedback adjustment module judges a result on the basis of the abnormal fluctuation. According to the system and the method, the machining precision and the equipment stability can be effectively improved under real-time monitoring, the fault risk can be reduced, the service life of the equipment can be prolonged, the maintenance cost can be reduced, and intelligent optimization and self-adaptive control of the machining process can be realized.

The invention discloses a low-temperature minimal quantity lubrication cooling method in aluminum alloy precision machining, and relates to the field of aluminum alloy precision machining. Machining parameters such as the cutting speed and the feeding amount are determined according to the aluminum alloy material, the machining requirement and the tool performance, and finite element simulation optimization is carried out; high-purity vegetable oil-based lubricating oil is selected, a nano anti-wear agent and an antioxidant are added, and cooling liquid is prepared by mixing compressed air through vortex tube refrigeration; spraying to a processing area through a special multi-channel nozzle, and dynamically adjusting the flow; multiple sensors are used for monitoring the temperature, the tool abrasion and the surface quality, and adjustment is conducted when threshold values are exceeded; and the cooling liquid is recycled after being subjected to centrifugation and membrane filtration treatment, and the metal filing is classified, recycled and reused. The cooling and lubricating effects are good, cutting heat and tool abrasion are reduced, the machining precision is improved, and the tool service life is prolonged; environment-friendly lubricating oil is recycled, so that pollution and cost are reduced; real-time monitoring and adjustment guarantee stable machining quality, machining efficiency is improved, and high-end manufacturing requirements are met.

The invention relates to the technical field of cycloidal gear finishing, in particular to a grinding finishing method, equipment and device applied to the cycloidal gear machining process, and the method comprises the steps that the difference between the energy of all cutting force data in the main frequency neighborhood in the frequency domain and the total energy within the preset duration before all moments and the change trend of all temperature data are analyzed, and the cutting force data in the main frequency neighborhood in the frequency domain is obtained; high-frequency vibration heat risk degree; based on all the high-frequency vibration heat risk degrees and all the vibration data in a preset time period before the current moment, a modal decomposition algorithm is adopted to construct a first feature value; and on the basis of all the state data and all the high-frequency vibration heat risk degrees in a preset time period before the current moment, a second feature value is constructed by adopting a principal component analysis algorithm, a comprehensive feature value is determined by combining the first feature value, and the finishing speed and the feeding amount are adjusted. According to the method, the problem of self-adaptive lag of the trimming parameters is solved, and distortion of the cutting edge contour in the machining process of the cycloidal wheel due to multi-physics field interference is eliminated.

The invention discloses efficient cutting equipment for aluminum alloy thin-wall part production, and belongs to the technical field of cutting equipment.The efficient cutting equipment comprises a base, a cutting mechanism, a positioning mechanism and a cooling mechanism are arranged at the top of the base, and the cutting mechanism comprises a connecting cylinder, a rotating cylinder, two mounting frames and two cutting discs; and a transverse shaft and a vertical shaft are rotationally mounted in the mounting frame. Through the synergistic effect of the cutting mechanism, the positioning mechanism and the cooling mechanism, the machining efficiency and quality are remarkably improved, the composite motion mode of rotation and circumferential feeding of the double cutting discs is adopted, the radial feeding speed which is dynamically adjusted is combined, cutting loads are evenly distributed, and vibration and stress concentration are reduced; the cooling mechanism realizes precise cooling through an injection system synchronously tracking the cutting position, and thermal deformation and oxidation are inhibited; an infrared thermometer and a pressure sensor are integrated to monitor the temperature and the cutting resistance of the cutter in real time, the rotating speed and the feeding amount are adjusted in a self-adaptive mode based on feedback signals, and overload and overheating are avoided.

According to the machining method and system for the stainless steel rectangular groove plate, the material thickness and elastic modulus parameters of a 316L stainless steel thin plate are obtained, the stress distribution state in the machining process is monitored in real time through a sensor, and if the stress value exceeds a preset threshold value, the cutting force and machining speed parameters are adjusted; a support vector machine algorithm is adopted to analyze the nonlinear relation between the material thickness and the elastic deformation, and an optimized mechanical parameter control model is obtained; according to stress control data output by the mechanical parameter control model, the machining temperature and vibration frequency information of a contact area of a tool and a workpiece is obtained, if the vibration frequency exceeds a stable machining range, the rotating speed and the feeding amount of a spindle are adjusted in real time, and the influence of thermal deformation on the groove depth precision is corrected through a temperature compensation algorithm; and determining a dynamic processing parameter combination adapted to the characteristics of the thin plate. Intelligent control over the thin plate precision machining process is achieved, and the machining precision and efficiency are effectively improved.

The invention relates to the technical field of composite machine tools, in particular to a multi-axis composite machining machine tool and an intelligent control method thereof.The method comprises the steps that the machining machine tool is subjected to pilot run, and a tool spindle coordinate system and an inner circle grinding head spindle coordinate system are established; determining the error level of the machine tool positioning precision according to the coordinate difference of the origin of the coordinate system; determining an adjusting amplitude and an adjusting object according to the vector coordinates, and adjusting the fast moving speed and the feeding speed of the moving module; acquiring a plurality of coordinate differences, judging the positioning grade of the machine tool, and calling back the judgment standard for judging the positioning precision error grade of the machine tool; cutting force borne by a workpiece spindle is detected, the abrasion degree of a tool is judged, and corresponding measures are taken; the change trend of the cutting force is analyzed, the consumption grade of abrasion consumption of the tool is judged according to the change trend of the cutting force, and the ratio of the spindle rotating speed to the feeding speed is adjusted. Multiple procedures are completed through one-time clamping, machining parameters of the machine tool are adjusted, and the positioning precision and machining efficiency of the machine tool are remarkably improved.

The invention discloses a residual stress deformation constrained thin-wall blade high-speed milling process parameter inverse solution method. The method comprises the following steps: constructing a residual stress gradient distribution characterization function of a block-shaped workpiece; iterating optimal values of a plurality of undetermined coefficients of the residual stress gradient distribution representation function, and calculating equivalent residual stress in the feeding direction and equivalent residual stress in the width cutting direction; fitting a mapping relation between the equivalent residual stress and the main shaft rotating speed, the roll angle and the feed amount per tooth, calculating the equivalent residual stress, applying the calculated equivalent residual stress to a corresponding position of the finite element model of the thin-wall blade, and fitting a deformation relation; step 3, establishing an optimization model according to the deformation relationship, and solving the optimization model by using a genetic algorithm to obtain the spindle rotating speed and the feed per tooth; due to the fact that the machining precision and the machining stability are improved, the rejection rate is reduced, and waste of raw materials and the cost of repeated machining are reduced.

This invention provides a precision control method and system for the linkage of machine tool spindle and feed axis for improving the surface quality of parts. The method includes acquiring preset machining requirements for the workpiece; determining the current state of the workpiece based on these preset machining requirements and under specific conditions where machine tool parameters meet these requirements. The current state of the workpiece includes at least one of the following: the physical properties of the workpiece, the current machining form of the workpiece, and the target machining form of the workpiece at the next moment. This invention determines the current state of the workpiece and obtains the changes in workpiece surface morphology and cutting efficiency under the same conditions after different adjustment methods for the spindle speed and feed rate in the machine tool power unit. Based on these changes in workpiece surface morphology and cutting efficiency, it determines which shifting method to use for control adjustment, selecting an adjustment method suitable for the current working conditions, ensuring minimal changes in workpiece surface morphology during adjustment, and guaranteeing workpiece machining efficiency.

The utility model discloses a kind of round nose coating knives of two-way chip removal passage, including supporting seat, milling rod, driving mechanism and reset mechanism, milling rod is slidably connected on supporting seat, and with supporting seat rotationally connected, and it is provided with round nose cutter bar on one end of milling rod located supporting seat outside, driving mechanism and reset mechanism are all arranged in supporting seat.The beneficial effects of the utility model are: in the utility model, by integrating driving mechanism and reset mechanism in supporting seat, the tool is simultaneously realized high-speed rotation and axial small-range reciprocating motion in the processing process, without relying on external cylinder or workpiece rotation, burr elimination and surface finishing can be completed, and by the combination of different number of teeth first driving gear, first driven gear, and second driving gear and second driven gear, the synergic control of cutting speed and feed rate is optimized, to ensure that the cutting depth of the tool is stable in the linkage process, reduce the vibration and tool wear caused by motion superposition.

The invention discloses a tilting-pad thrust bearing pad machining method and system. The method comprises the steps that pad basic structure parameters, material physical attribute parameters and preset machining precision indexes are obtained firstly; constructing a tile force thermal coupling deformation simulation model, and inputting parameters to simulate stress distribution and deformation of the tile in cutting; a surface microtopography oil film adaptation model is constructed based on the deformation data, and the mapping relation between the surface microcosmic parameters and the oil film performance is determined; then multi-source sensing equipment is deployed to collect cutting force, temperature and vibration signals, and comprehensive characteristic parameters are obtained through processing of a multi-source sensing cutting force fusion algorithm; the adaptive relation parameters and the comprehensive characteristic parameters are input into a machining parameter decision support platform, and parameters such as the cutting speed and the feeding amount are dynamically optimized; and finally, processing according to the optimized parameters and feeding back data correction parameters in real time. The system comprises six units. According to the method and system, multi-model collaboration and parameter real-time optimization are achieved, and the pad machining precision and the bearing reliability are improved.

Method for roughing or rough turning a workpiece (1) with a milling or turning tool, in which a material volume (2) is removed from the workpiece (1) in several successive layers along a feed axis, each having a layer thickness, with the tool, wherein the tool for removing each layer is guided on a toolpath (3, 5) lying in a working plane with process parameters that include at least a cutting depth, a engagement width, a cutting speed and a feed rate, characterized by that the layer thicknesses for each of the layers and the resulting toolpaths for the removal of each layer are determined in advance using an algorithm such that, compared to machining with identical layer thicknesses for the entire roughing operation, an increased, averaged material removal rate and / or reduced tool wear is achieved when removing the material removal rate (2), and the process parameters for the removal of each layer are set so that the layers are removed with the determined layer thicknesses.

The clamp comprises a five-axis universal base matched with a machine tool workbench, a workpiece to be machined is clamped on the five-axis universal base, and a first side cavity, a second side cavity and a vertical cavity penetrating up and down are formed in the workpiece to be machined in a rough machining mode. A bottom plate is installed on the five-axis universal base, a workpiece to be machined is positioned on the bottom plate, a cover plate is fixed to the top of the workpiece to be machined, the cover plate is hollow and matched with the vertical cavity, a plurality of screw ejector blocks are embedded in the first side cavity, a pressing plate is arranged in the second side cavity, the pressing plate is connected with the bottom plate, and the bottom of the pressing plate abuts against the second side cavity. By additionally arranging the cover plate and the screw ejector block, the rigidity of the suspended thin-wall part on the workpiece to be machined is effectively improved, the requirements for improving the rotating speed and feeding of a cutter can be effectively met, and the surface smoothness of a machining inclined plane sealing surface is guaranteed.

The invention relates to the technical field of intelligent manufacturing equipment, in particular to multi-station milling cutter machining equipment and a machining control method. The method comprises the steps that cutting force and vibration signals of a spindle milling cutter in all directions in the multi-station milling cutter machining process are obtained; obtaining vibration period deviation estimation; based on the distribution difference degree of the cutting force in each direction, the mechanical vibration consistency is measured; according to vibration period deviation estimation and mechanical vibration consistency in the machining process of the multi-station milling cutter, a milling compensation coefficient is obtained by combining a distribution correlation condition between a vibration signal and a cutting force, and then the milling compensation coefficient is calculated by combining a main shaft speed and a feeding speed of a current time window. And the main shaft speed and the feeding speed in the machining process of the multi-station milling cutter are regulated and controlled. The multi-station milling cutter machining control precision can be improved.

The present invention relates to a control method, device, and system for synchronizing a spindle and a feed Z-axis during rigid tapping, and relates to the technical field of CNC machine tools. The control method includes: determining a first mapping relationship between a first target speed of the spindle and a first delay time, and a second mapping relationship between a second target speed of the feed Z-axis and a second delay time; determining the first target speed of the spindle and the second target speed of the feed Z-axis; determining a first delay time based on the first target speed and the first mapping relationship, and determining a second delay time based on the second target speed and the second mapping relationship; determining a relative delay time between the spindle and the feed Z-axis based on the first delay time and the second delay time; after sending the first target speed to the spindle, sending the second target speed to the feed Z-axis after a relative delay time. The present invention achieves synchronization between the spindle and the feed Z-axis, improving the precision and processing efficiency of rigid tapping.

The application discloses a spiral bevel gear grinding machine tool spindle speed and feed speed optimization method, the spiral bevel gear grinding machine tool spindle speed and feed speed optimization method includes calculating the first grinding force according to the first feed speed value of the spindle speed and feed speed set; calculating the first vibration signal value according to the first grinding force; when the first grinding force and the first vibration signal value meet the preset constraint condition, the first feed speed value is saved to the preset matching set; by analogy, until whether the kth feed speed value of the spindle speed and feed speed set meets the preset constraint condition, the maximum value of the saved feed speed value is screened based on the preset matching set, and the maximum value is used as the feed speed of the spiral bevel gear to be optimized, the processing quality, processing efficiency and process stability are improved.

The present invention discloses a drilling force prediction method based on Chladni figures. The method uses Chladni figures to characterize the drilling vibration of a composite material with unidirectional carbon fibers, obtains the frequency of the self-excited vibration of the workpiece, and then calculates the dynamic cutting force coefficient under the influence of the drilling vibration. During the dynamic cutting process, the dynamic cutting force is predicted based on the dynamic cutting force coefficient, tool rotational speed, tool feed rate, and cutting area at the feed time. By predicting changes in cutting force, the present invention can avoid machining vibration caused by drastic fluctuations in cutting force, thereby reducing the risk of tool breakage and workpiece surface defects. It can also help adjust cutting parameters to maintain the stability of the cutting process, thereby improving machining accuracy and surface quality.

Numerical control device (1) for controlling a machine tool (100), wherein the machine tool (100) comprises a spindle (Ac) for rotating a cutting tool (T) or a workpiece (W) which is a machining target, and a feed axis (Az) for moving the cutting tool (T) relative to the workpiece (W), and for causing the spindle (Ac) and the feed axis (Az) to interact to cut the workpiece (W) by means of the cutting tool (T), wherein the numerical control device (1) comprises: a reference speed calculation unit (14) configured to calculate a spindle speed, which is a speed of the spindle (Ac) according to a machine machining program, and a feed rate, which is a speed of movement of the feed axis (Az) according to the machine machining program;a vibration command calculation unit (15) configured to calculate a vibration command, which is a periodic variation component superimposed on a feed axis (Az) command, based on the spindle speed and feed rate, and a predefined vibration frequency amplification; a setting detection unit (13) configured to detect an upper limit for the frequency of the vibration command; and an adjustment unit (16) configured to adjust the frequency of the vibration command, or at least either the spindle speed or the vibration frequency amplification, so that the frequency of the vibration command does not exceed the upper limit.

The present invention discloses a method for controlling electric harvester components based on an optimal grain loss rate and an electric harvester, comprising the following steps: 1. Pre-collecting component speed, grain loss rate, and feed rate information to establish a database; 2. Establishing a fitting relationship using the component speed and feed rate as independent variables and the loss rate as a dependent variable; 3. Collecting harvester component speed and torque information; 4. Determining the component speed with the optimal loss rate under different feed rates based on the fitting relationship; 5. Estimating the feed rate using the feed torque load value of the harvester based on a header dynamic equation; 6. Using the component speed with the optimal loss rate under the estimated feed rate as a target value, controlling the speed of the component motor using fuzzy PID control. The present invention establishes a relationship between the loss rate, component speed, and feed rate under different feed rates based on multiple linear regression, and derives an optimal speed target value based on different feed rates, thereby meeting the loss rate requirements under different feed rates.

The present invention relates to the technical field of grinding regulation, and specifically relates to a tool alignment control and grinding method applicable to the air compressor housing. This method determines the initial grinding points of the grinding tool for grinding according to the local distribution of the height and thickness of the housing surface; analyzes the grinding intensity value on the housing surface to obtain a grinding change trend index through the temperature and grinding depth during the grinding of the grinding wheel, as well as the degree of temporal variation during the grinding process; determines the parameter adjustment factor of the grinding parameters by combining the height and thickness deviation changes and vibration amplitude in the contact area during the grinding process with the grinding change trend index, and adjusts the combination of the grinding wheel speed and feed speed in real time for grinding. The present invention determines the real-time parameter adjustment factor of the grinding process by combining the real-time intensity change of grinding with the surface quality of the housing, makes a correlation adjustment to the grinding parameters, and improves the surface adaptability and grinding effect of the grinding process.

The invention provides a control system and method for PCB numerical control drilling, and the method comprises the steps: determining the feeding section speed of a numerical control machine tool through the rotating speed of a main shaft of the numerical control machine tool and the feeding amount per revolution, and determining the safety switching height of the surface drilling speed switching of a target PCB according to the inertia braking distance and the safety margin of the high-speed section speed of the numerical control machine tool; after the Z-axis driving mechanism is controlled to descend to the safe switching height at the high-speed section speed, the Z-axis driving mechanism is switched to the feeding section speed to complete drilling feeding, and the drilling return speed coefficient of the Z-axis driving mechanism is determined based on the drilling depth information of the Z-axis driving mechanism and the plate parameters; determining a rollback section speed of lifting to the safe height according to the rollback speed coefficient, the high-speed section speed and the feeding section speed; and after the drilled hole reaches the preset hole position depth of the target PCB, the Z-axis driving mechanism is controlled to lift the main shaft to the safe height at the speed of the rollback section. Based on the scheme, safe switching of the three-stage speeds of the main shaft and the Z shaft in PCB numerical control drilling can be achieved.

The application relates to an intelligent regulation method for a machine tool machining cloud platform motor base in the field of new-generation information technology, and the method comprises the following steps: if the classification result shows that the tool wear degree exceeds a preset safety threshold, fusing machine tool historical operation data to adjust machining parameters such as cutting speed and feed rate, and obtaining an optimized parameter set; for the optimized parameter set, acquiring machine tool current state data and inputting a prediction model to predict potential machining deviation and judge the prediction deviation value; if the prediction deviation value exceeds the allowed machining precision range, dynamically adjusting the tool movement path according to the judgment result and fusing real-time detection data to determine the adjusted path; extracting the geometric features of the machining track from the adjusted path, comparing the geometric features with machine tool real-time monitoring data, and obtaining a consistency evaluation score; according to the consistency evaluation score, using a detection algorithm to verify the size stability of the product, and judging the final quality qualified state.

The application designs a material taking head control method, an unloading machine and electronic equipment. The material taking head control method comprises the following steps: determining a transverse movement speed and a feed amount of the material taking head based on an expected full load rate of the material taking head; and controlling the material taking head to take material according to the transverse movement speed and the feed amount, wherein the expected full load rate is a ratio of a material amount taken by the material taking head at the transverse movement speed and the feed amount to a full load material amount of the material taking head. In the embodiment of the application, the material taking head takes material at different transverse cutting speeds and feed amounts under different material surface states, thereby solving the problem of low material taking efficiency when the material taking head takes material at a fixed feed amount in the prior art.

The invention discloses pile foundation drilling equipment and method, and relates to the technical field of drilling equipment.The pile foundation drilling equipment comprises a moving part, a drilling part and a control unit, the drilling part comprises a vertical frame and a drilling mechanism, the vertical frame comprises a first frame body and a second frame body, the first frame body is installed on a connecting frame, and the second frame body is installed on the connecting frame; the second power device drives the second frame body to linearly slide; the drilling mechanism is fixedly connected with the second frame body; the control unit is used for obtaining the real-time feeding resistance and the real-time rotating torque so as to judge the stratum state, and the drilling speed and the feeding speed of the drilling mechanism are calculated based on the stratum state judgment result so as to control the drilling mechanism to output the corresponding drilling speed and control the second power device to drive the drilling part to move at the corresponding feeding speed. The method can automatically adapt to stratum state changes, the problem of low efficiency caused by manual adjustment lag is reduced, and the risks of in-hole accidents such as drill jamming and drill burying are reduced.

The present application belongs to the technical field of particle swarm optimization control, and particularly relates to an intelligent production line control method for an automobile differential shell, which comprises the following steps: acquiring the cutting resistance, spindle speed, feed speed and measured cutting temperature of each machining section at the spindle during the cutting process of the differential shell; determining the pulsation significance according to the distribution of the cutting resistance in the reference sequence for any sampling point; calculating the thermal field energy dispersion according to the temperature change of the machining section; fusing the pulsation significance and the thermal field energy dispersion to obtain a mismatch factor, and combining a preset inertia weight to obtain an adaptive inertia weight, which is input into a particle swarm optimization algorithm to output the optimal spindle speed and feed speed combination. The present application enables the optimization algorithm to perceive the thermal coupling fluctuation and physical instability state in real time, realizes adaptive jump optimization of the production line parameters, and improves the machining size precision and surface quality of the differential shell.

The invention relates to the field of milling machining, and discloses a thermal field auxiliary machining milling cutter cooling device which comprises a milling cutter and a guide piece movably connected with the milling cutter. A channel is formed in the inner wall of the milling cutter, a containing cavity is formed in the inner wall of the guiding piece, when the milling cutter is connected with the guiding piece, the channel is communicated with the containing cavity, and the guiding piece is used for being connected with a low-temperature gas tank body through a conveying pipe; during working, low-temperature carbon dioxide gas enters the containing cavity through the conveying pipe and then enters the channel of the inner wall of the milling cutter, so that the inner wall of the milling cutter extends to the whole cutter to be cooled; the low-temperature carbon dioxide gas remarkably reduces the temperature of the milling cutter from the inside, the main heat mechanism causing failure of the cutter is fundamentally restrained, and higher cutting speed and feed rate are allowed to be used without worrying about rapid failure of the cutter due to overheating. The metal removal rate is remarkably increased, the machining time is shortened, and the production efficiency is improved.

This application relates to the technical field of cycloid gear dressing, and specifically relates to a grinding dressing method, equipment and device applied to the processing of cycloid gears. The method includes: by analyzing the difference between the energy of all cutting force data in the neighborhood of the main frequency in the frequency domain and the total energy within a preset time period before each moment, as well as the change trend of all temperature data, the high-frequency vibration heat risk degree; based on all the high-frequency vibration heat risk degrees and all vibration data within a preset time period before the current moment, using a modal decomposition algorithm to construct a first eigenvalue; based on all state data of all types and all high-frequency vibration heat risk degrees within a preset time period before the current moment, using a principal component analysis algorithm to construct a second eigenvalue, and combining the first eigenvalue to determine a comprehensive eigenvalue, and adjusting the dressing speed and feed rate. This application solves the problem of adaptive lag of dressing parameters and eliminates the distortion of the edge profile during the processing of cycloid gears under the interference of multiple physical fields.

This application relates to the field of mold ejector pin processing technology, and particularly to a method for ultrasonic-assisted rolling surface grain refinement of mold ejector pins. The method includes: obtaining the ultrasonic frequency and static pressure of the mold ejector pin; wherein the static pressure includes a first directional force and a second directional force; determining the radial resultant force of the mold ejector pin based on the first directional force and the second directional force; obtaining the amplitude matching frequency of the mold ejector pin based on the radial resultant force and the ultrasonic frequency; determining the feed rotation speed and feed rate of the mold ejector pin according to the amplitude matching frequency; and determining the grain refinement parameters of the mold ejector pin based on the feed rotation speed, feed rate, amplitude matching frequency, ultrasonic frequency, and static pressure. This method solves the problem that slender ejector pins are prone to unilateral radial loads, leading to bending deformation and uneven force distribution in the material field.

The present invention discloses an intelligent control system and its full-automatic edge milling machine. An intelligent control system includes: a workpiece parameter detection unit; a parameter calculation unit; an adaptive adjustment unit; an optimization objective function unit; a main circuit, including: a working circuit provided with relays KM2-KM9 for controlling the operation of motors M1-M7; a driving circuit provided with fuses FU1-FU2 and a TC circuit; a control circuit provided with a main circuit breaker QF and control chips UF1-UF3 connected in parallel. 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 to achieve automatic adjustment of machining parameters. A full-automatic edge milling machine applies the above intelligent control system. The present invention has the following beneficial effects: This intelligent control system and its full-automatic edge milling machine can identify the workpiece size and can adjust the milling speed and feed speed in real time according to the detection results, thereby improving the machining accuracy and efficiency.