58 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 automatic control, in particular to a machine tool automatic adjustment control system which comprises a material analysis adjustment module, an environment adaptation adjustment module, a machining vibration compensation module and a machining energy efficiency management module. By monitoring and analyzing the running state of the machine tool in real time and adjusting the machine tool parameters based on historical machining data, the machine tool can automatically adjust the cutting speed and the feeding rate according to the physical characteristics of different materials, the machining efficiency is optimized, the machining quality of the workpiece surface is improved, the machine tool setting is adjusted according to the workshop environment change, and the machining efficiency is improved. The stability of the machining process and the quality of a workpiece are guaranteed, machining errors caused by vibration of the machine tool or the workpiece are reduced through real-time analysis and compensation of vibration data, the machining precision is kept, the energy utilization efficiency is improved through real-time monitoring and optimization of energy consumption of the machine tool, the production cost is reduced, and the production efficiency is improved. And the whole production process is more economical and environment-friendly.

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 an oil sprayer body and a machining method for a stepped deep hole and a spherical bottom face of the oil sprayer body. The machining method comprises the following steps: pre-drilling: fixing the oil sprayer body on a machining center, and drilling a blind hole by adopting a drill bit; pre-boring: boring a blind hole; drilling a deep hole: taking the blind hole as a guide, adopting a gun drill to enter a second preset depth, starting inner cooling, increasing the rotating speed and the feeding amount of the gun drill, drilling to a third preset depth, retracting the tool, closing the inner cooling, and withdrawing the gun drill; forming counter bores: processing spherical bottom surfaces at the bottoms of the blind holes by adopting a spherical counter bit by taking the blind holes as guidance; hole expanding and boring are conducted on the hole, and the depth is made to be the fifth preset depth; and chambering: chambering with a gun drill by taking the hole as a guide to obtain the fuel injector body. The invention further provides the oil sprayer body obtained through the machining method. The machining center solves the problems that when an existing machining center is used for machining a stepped deep hole and a spherical bottom face of an oil injector body, the coaxiality is poor, and the roughness cannot meet the product requirement.

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.

The invention provides a segmented drilling method for a PCB. The segmented drilling method comprises the steps that the feeding speed and the cutter feeding speed of a cutter are obtained; the cutter moves to the to-be-drilled point on the uppermost layer of the plate at the feeding speed, the feeding speed is switched into the cutter feeding speed, and a section of plate is machined at the cutter feeding speed; and the cutter is controlled to return to the cutter reference surface after each section of plate is machined, the cutter moves to the to-be-drilled starting point of the next section from the cutter reference surface again at the feeding speed when the next section is drilled, the feeding speed is switched to machine the next section of plate, and circulation is conducted till the cutter drills downwards to the final depth. A cutter is controlled to return to a cutter reference surface after each section of drilling is completed, the feeding speed of the cutter reference surface is reduced to a to-be-drilled starting point of a next section of plate, and drilling is switched to the feeding speed of the cutter, and a segmented variable-speed drilling mode is adopted, so that the machining efficiency of segmented drilling is effectively improved, the slow feeding time is shortened, and the machining efficiency is improved. And meanwhile, the segmentation instruction of segmented drilling is expanded, the segment length and the segment number of segmented drilling are freely set, and the machining requirements of different drilling technologies are met.

The invention provides a scribing method and device and a storage medium. The scribing method comprises the steps that the radius of a cutter, the maximum cutting depth of the cutter to a wafer and the target cutting groove length are obtained; the initial feeding speed of the cutter and the middle section scribing speed of the cutter are determined, and the middle section scribing speed is larger than the initial feeding speed; calculating the feed stroke of the cutter based on the radius of the cutter and the maximum cutting depth; based on the target grooving length and the feed stroke, calculating the middle stroke of the cutter; calculating acceleration based on the initial feed speed, the middle scribing speed and the feed stroke; the cutter is controlled to cut into the wafer at the initial feeding speed and the accelerated speed in an accelerated mode; the cutter is controlled to cut the wafer at the middle section scribing speed until the cutting stroke of the cutter reaches the middle section stroke; and controlling the cutter to cut the wafer at the middle section scribing speed and the accelerated speed. According to the scribing method, the scribing efficiency can be ensured, the scribing quality is also considered, and edge breakage caused during cutter feeding and cutter discharging is prevented.

The invention discloses a drilling force prediction method based on a Clarii figure, which comprises the following steps: representing drilling vibration of a composite material with carbon fibers in unidirectional arrangement through the Clarii figure to obtain a frequency value of self-excited vibration of a workpiece, then solving a dynamic cutting force coefficient under the influence of the drilling vibration, and in the dynamic cutting process, calculating the dynamic cutting force coefficient of the workpiece. And predicting the dynamic cutting force according to the dynamic cutting force coefficient, the cutter rotating speed, the cutter feeding speed and the cutting area at the feeding time. By predicting the change of the cutting force, machining vibration caused by violent fluctuation of the cutting force can be avoided, so that the risks of cutter damage and workpiece surface defects are reduced, cutting parameters can be helped to be adjusted, the stability of the cutting process is kept, and the machining precision and the surface quality are improved.

The invention relates to an intelligent cooperative control and precision self-optimization method and system for a dash panel sawing jig, relates to the field of machining equipment, and solves the problems that the angle of the jig cannot be adjusted in real time according to the actual condition of a saw blade in the machining process, the sawing angle is easy to be inaccurate, the machining precision of a dash panel is further influenced, and the machining precision of the dash panel is influenced. The method comprises the steps that according to the position and angle information of a saw blade and threaded hole deviation data, an electric rotating table is driven to adjust the angle of a jig, the electric rotating table is made to be matched with the angle of the saw blade, and meanwhile an electric sliding table in the X direction and an electric sliding table in the Y direction are controlled to move the jig according to the threaded hole deviation value; the relative position deviation of the jig and the equipment is reduced to be within a preset distance; and the jig is started to execute saw cutting according to preset saw cutting parameters, wherein the saw cutting parameters comprise the rotating speed and the feeding speed. The method has the following beneficial effects that intelligent cooperation and precision self-optimization of the sawing jig are achieved, and the machining precision, efficiency and stability of the dash panel are improved.

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.

The invention relates to the technical field of program control, in particular to an intelligent numerical control machine tool programming method and system.The intelligent numerical control machine tool programming method comprises the steps that based on the operation requirement of a numerical control machine tool and a tool motion trail, material attributes and tool specification data are adopted, the cutting speed, the feeding rate and the cutting depth are set, and initial parameters are adjusted by comparing historical machining data; and generating a preliminary path design. According to the method, the initial cutting path is set by comprehensively using material attributes and tool specification data, the actual tool movement track is simulated, the accuracy and efficiency of the machining process are effectively improved, the machining hardness and precision requirements are precisely met by dynamically adjusting the cutting speed and the feeding rate, the machining quality is ensured, and the machining efficiency is improved. The three-dimensional simulation and collision detection of the motion path of the numerical control machine tool cutter are executed to enhance the operation reliability, the mechanical interference possibility is reduced, the trajectory control points are optimized through fine adjustment of the cutter trajectory and map analysis, path obstacles are effectively avoided, and the operation efficiency and the production quality of the machine tool are improved.

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 present application relates to the field of polishing machine control technology, and specifically to a polishing machine control method and system for new energy workshops, the method comprising: obtaining the pressure, temperature, rotation speed and feed speed of the polishing machine at each moment during the polishing process, and the surface roughness and thickness of the abrasive at each moment, as well as the hardness, elastic modulus, crystal size and thermal expansion coefficient of the abrasive; determining the pressure influence and material influence at each moment, and determining the force deformation coefficient at each moment; determining the temperature influence and thermal deformation coefficient at each moment; determining the abrasive deformation at each moment; determining the switching gain of the sliding mode control algorithm at each moment; defining the sliding mode surface switching function, and controlling the rotation speed and feed speed of the polishing machine in real time through the sliding mode control algorithm. The present application adjusts the switching gain in real time to avoid oscillation in the process of switching the control parameters of the polishing machine by the control system, resulting in under-polishing or over-polishing of the abrasive surface, thereby improving the polishing quality of the abrasive.

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.

The present invention discloses an intelligent monitoring method and system for numerically controlled machine tools, and relates to the technical field of machine tool monitoring. The intelligent monitoring method and system for numerically controlled machine tools realize comprehensive monitoring and optimization of the operating status of machine tools by setting a data acquisition module, a precision monitoring module, and an abnormal warning module. The data acquisition module collects machine tool operating data in real time through sensors to ensure the accuracy and timeliness of the data, and provide a reliable basis for subsequent analysis. The precision monitoring module analyzes the working status of the machine tool in real time and identifies the trend of periodic abnormal fluctuations, so as to timely discover potential problems and avoid the expansion of processing errors. The cutting speed and feed rate are intelligently adjusted through the fuzzy control algorithm, which significantly improves the processing accuracy and efficiency and reduces manual intervention. The abnormal warning module monitors the machine tool operating data in real time, generates warning information, and ensures that the operator can take measures in time, thereby improving the intelligence level of the numerically controlled machine tool.

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.