981 results about "Machined surface" patented technology

The invention belongs to the field of machining, and relates to a machining process quality online monitoring and feedback adjusting system and method. The system comprises a multi-modal data acquisition module used for acquiring a mechanical vibration signal and a high-frequency micro-damage signal; the feature preprocessing and cross-modal fusion module is used for carrying out time domain, frequency domain and time-frequency domain feature extraction on the collected mechanical vibration signals and high-frequency micro-damage signals, carrying out edge, texture and shape feature extraction on workpiece machining surface image signals, and introducing a cross-modal attention mechanism to achieve weighted fusion of heterogeneous signals. And finally generating a fusion feature vector with high discrimination. The machine tool / cutter state and workpiece quality intelligent analysis module is used for constructing an intelligent analysis model for the equipment operation state and the workpiece machining quality; inputting the fusion feature vector into an intelligent analysis model to obtain a quality evaluation result; and the quality judgment and feedback adjustment module is used for adopting a dynamic threshold adjustment mechanism to realize adaptive comparison with a process standard according to a quality evaluation result.

A cutting insert includes a rake face, a flank face, and a cutting edge constituted of a ridgeline between the rake face and the flank face. The cutting edge has a first cutting edge portion for corner processing, a second cutting edge portion for low cut-in pulling processing, a third cutting edge portion for high cut-in pulling processing, a fourth cutting edge portion for finished-surface processing, a first connection cutting edge portion, a second connection cutting edge portion, and a third connection cutting edge portion. The fourth cutting edge portion is disposed between the first cutting edge portion and the second cutting edge portion. The second cutting edge portion is disposed between the fourth cutting edge portion and the third cutting edge portion. Each of the first cutting edge portion, the second cutting edge portion, and the fourth cutting edge portion has a curved shape.

The invention discloses a cutting parameter optimization method and device based on wear prediction, equipment and a medium. The cutting parameter optimization method based on wear prediction comprises the steps that a real-time wear image of a target tool and real-time tool machining parameters are collected; based on a pre-trained tool wear prediction model, according to the real-time wear image and the real-time tool machining parameters, determining a predicted wear curve of the target tool; the real-time abrasion loss of the target tool under the preset machining condition is determined based on the real-time tool machining parameters; and on the basis of the real-time abrasion loss and the predicted abrasion loss of the target tool, tool machining parameters of the target tool are optimized. According to the technical scheme, the service life of the cutter is prolonged and the quality of the machined surface is improved while the cutting machining efficiency is ensured.

The invention discloses an ultraviolet laser enhanced plasma electrolytic polishing method for an aluminum-based silicon carbide composite material, which is characterized in that the conductive performance of a reinforced phase SiC material is locally improved by utilizing the synergistic effect of the local thermal effect and the photoelectric effect of ultraviolet laser, and meanwhile, uniform-speed polishing of a metal aluminum matrix and the reinforced phase SiC material is achieved by virtue of plasma discharge. And the machining efficiency is obviously improved, a machined surface with higher quality compared with traditional machining and single plasma electrolytic polishing is obtained, and further application and popularization of the aluminum-based silicon carbide composite material are facilitated.

The invention discloses a numerical control machine tool dynamic characteristic matching and machining path planning method and system for efficient cutting, and relates to the technical field of intelligent manufacturing and numerical control machining path optimizing.The method comprises the following steps that on the basis of a CAD three-dimensional drawing of a machined part, the CAD three-dimensional drawing is imported into CAM software, the machined surface and the non-machined surface of the part are determined, and the machining surface and the non-machined surface of the part are matched; various machining schemes and technological parameters of different machining faces of the part are generated through CAM software in combination with drawing parameter requirements; and for the generated machining schemes under the process parameters of the different machining surfaces, the machining rigidity and vibration parameters are calculated in combination with part material data, and meanwhile, the standard rigidity and vibration parameters of the current numerical control machine tool are collected. According to the method, the dynamic performance of the numerical control machine tool is combined, the tool path planning in the CAM programming process and the technological parameters are matched, and tailoring and force measuring are carried out according to numerical control programming of different machine tools.

Provided is a numerical control device for improving cycle time and machined surface quality. The numerical control device (1) comprises: a machining program reading unit (10) that generates, on the basis of a read machining program, a tool center point sequence indicating a path of a center point of a tool of a machining tool; an interpolation control unit (11) that interpolates the tool center point sequence generated by the machining program reading unit (10); a kinematic conversion unit (12) that performs coordinate-conversion on the tool center point sequence interpolated by the interpolation control unit (11) to obtain a control point sequence indicating a path of a control point by which the position of the tool is determined; a smoothing application unit (13) that performs smoothing by performing smoothing processing on the control point sequence, obtained by the kinematic conversion unit (12), with predetermined parameters; and a drive control unit (14) that controls driving of a machining tool A on the basis of the control point sequence smoothed by the smoothing application unit (13).

The invention relates to the technical field of numerical control machining, in particular to a multi-cutter cooperative machining numerical control machine tool system based on dynamic error compensation, which comprises a data acquisition unit for acquiring historical machining data; the path determining unit is used for determining a pre-processing path and an overlapping processing area of the blank; the machining executing unit is used for determining the cutting depth proportion of each cutter for executing single-time machining on the blank and executing machining; the image acquisition unit is used for acquiring surface images of a processing surface of the blank before and after processing in real time; the data analysis unit is used for determining a thermal diffusion area and a thermal deformation area of the processing surface of the blank, and determining to execute dynamic error compensation on the plurality of cutters according to the coverage rate of the thermal deformation area; the compensation regulation and control unit is used for determining dynamic error compensation according to the coverage rate; and the optimization adjustment unit is used for optimizing the dynamic error compensation parameters based on the area proportion of the mutation points of the processing area. The machining precision of the multi-cutter cooperative machining numerical control lathe on the workpiece is improved.

The invention provides a particle reinforced composite material processing damage quantitative evaluation method based on local measurement and parameter correction. The method comprises the following steps: firstly, scanning damage feature images at different positions of the surface of a machined workpiece, and calculating the area ratio of each damage size to a scanned local area through binarization processing to obtain the measured crack density, the particle breakage rate and the particle extraction rate; then, establishing a regression model of the damage characteristics, the processing material structure parameters and the processing technology parameters, and correcting the damage characteristic data by means of the regression model to enable the damage characteristic data to better conform to the actual damage conditions under different processing conditions; then, through weighted average and correction coefficients, the damage characteristics of the local area are expanded to the whole machining area, and a mathematical model among machining material structure parameters, machining process parameters and machining damage is established; and finally, comprehensively evaluating the crack density, the particle breakage rate and the particle pull-out rate to obtain a comprehensive damage evaluation value of the whole processing area. The method can effectively evaluate the quality of the machined surface.

The invention provides a cooling liquid follow-up adjustable fine boring cutter which comprises a cutter body, the cutter body comprises a connecting part and an assembling part, a liquid inlet is formed in the connecting part, an assembling hole is formed in the assembling part, an assembling part is slidably arranged in the assembling hole, a blade is installed at one end of the assembling part, and a cooling channel is formed in the assembling part; the two ends of the cooling channel are provided with a first connector and a liquid outlet, the first connector communicates with the movable cavity, and the liquid outlet corresponds to the blade. A movable cavity is communicated between the liquid inlet and the assembly hole, a cooling hose communicated with the liquid inlet and the first connector is arranged in the movable cavity, and an adjusting part for driving the assembly part to move is further arranged in the movable cavity; a movable cavity and a cooling channel are formed, a cooling hose is communicated with a liquid inlet and the cooling channel, cutting fluid can flow into the cooling channel through the cooling hose, meanwhile, the position of a liquid outlet is consistent with the position of a blade all the time, the cutting fluid continuously cools the blade and a workpiece, the machining precision and the tool durability are improved, cuttings are washed away in time, and the machining efficiency is improved. And the machined surface is prevented from being scratched due to chip accumulation.

The invention relates to the technical field of numerical control machining measurement and correction, and discloses a machining surface correction method for a numerical control milling center. The method comprises the steps of establishing an original point cloud of a processing surface and extracting a feature structure; analyzing each feature structure to form a structured description list; inputting the list into a geometric growth model, and generating a virtual feature structure set according to rule iterative evolution; extracting and rasterizing the contour and the height field, carrying out registration fusion with a reference plane equation, and carrying out variation calculation to obtain a smooth middle geometric surface; performing adaptive resampling on the intermediate surface to generate an intermediate point cloud; and finally, according to the spatial frequency distribution of a topological residual field formed by the difference between the original point cloud and the intermediate point cloud, adaptively determining a weight, and carrying out weighted mixing on the original point cloud and the intermediate point cloud to generate an optimized surface point cloud. According to the method, intelligent evolution of the machined surface features and frequency domain self-adaptive data fusion are achieved, and the correction machining precision and the surface forming quality are improved.

The invention belongs to the technical field of heavy machine tool machining, and particularly relates to a transmission structure for heavy horizontal machine tool machining and a machining method. Comprising a moving seat, the two ends of the upper surface of the moving seat are fixedly connected with a tool apron and a skewness measuring assembly respectively, the skewness measuring assembly comprises a measuring tool connecting arm, the measuring tool connecting arm comprises a first measuring tool arm, one end of the first measuring tool arm is rotationally connected to a lifting seat and is in transmission connection with a stepping motor, and the stepping motor is fixedly connected to the lifting seat. The device can assist a wheel velocimeter in more conveniently and accurately measuring the rotating speed and the skewness of the outer surface of a turning billet in real time, and is more convenient for lifting a workpiece, so that cuttings generated in turning are reduced, and the cuttings are prevented from scratching the machined surface; built-up edges can be reduced, the surface smoothness is improved, and the surface roughness is reduced; and in the turning process, the turning speed is adjusted in real time along with the change of the shape and the quality of the machined steel blank so as to keep the optimal turning rotating speed.

The invention relates to the technical field of cam shaft machining, in particular to a cam shaft turning device based on ultrasonic-assisted machining and a turning method.The cam shaft turning device comprises a turning table, a workbench is arranged at the top of the turning table, two sets of supporting sliding rails are symmetrically and fixedly connected to the workbench, and a feeding motor is arranged on one side of the workbench; the output end of the feeding motor is connected with a threaded driving rod, the end of the threaded driving rod is fixedly connected with a moving seat, the bottom of the moving seat is slidably connected with the supporting sliding rail, one side of the top of the moving seat is provided with a motor seat, and the outer wall of the motor seat is fixedly connected with a mounting seat. The device utilizes the ultrasonic generating unit to carry out ultrasonic-assisted machining on the camshaft, high-frequency vibration, high-frequency impact and friction of a turning tool reduce cutting resistance, the problem of built-up edges caused by the fact that the tool makes contact with a workpiece all the time is avoided, the shape of an actual cutting edge of the tool is prevented from being changed, the machining size precision is guaranteed, and the machining surface roughness is reduced. The surface quality of the camshaft is improved.

The utility model provides a nanoscale precision machining surface integrity detection device for precision machining, which belongs to the technical field of detection devices and comprises a machine body, a platform is arranged in the machine body, a rotating mechanism is arranged in the platform, and the rotating mechanism comprises a mounting seat, a driving motor, a speed reducer, a rotating rod and a turntable. According to the utility model, through the arrangement of the rotating mechanism, the placing disc can rotate orderly, the workpiece on the placing disc can be rapidly detected by matching with the use of an image detector, and through the arrangement of the clamping mechanism, the workpiece is kept stable in the detection process and is prevented from moving or rotating in the detection process, so that the detection efficiency is improved. The safety of the whole detection process can be ensured, the image detector can be driven to sweep or move on the to-be-detected surface of the workpiece through the arrangement of the first moving mechanism and the second moving mechanism, and it is ensured that the image detector can cover all the to-be-detected surfaces of the workpiece.

The invention belongs to the technical field of grinding materials and grinding tools, and particularly relates to a diamond electroplated grinding wheel directionally arranged in a magnetic field and a preparation method and application thereof. Firstly, electroplating liquid is added into an electroplating bath, then 30%-40% of magnetic diamond abrasive materials are added into the electroplating liquid, directional magnetic sanding is carried out with the grinding wheel base body A as a cathode and a nickel plate as an anode, the magnetic field intensity is controlled to be 0.1-1 T, the cathode current density is controlled to be 0.4 A / dm < 2 >-0.6 A / dm < 2 >, the electroplating time is 10-20 min, and a grinding wheel base body B is obtained; removing floating sand from the grinding wheel base body B to obtain a grinding wheel base body C; and the grinding wheel base body C is thickened to obtain a grinding wheel base body D, and the grinding wheel base body D is modified to obtain the grinding wheel. The grinding rate of the manufactured grinding wheel is reduced by 10%-25%, the service life is prolonged by 30%-50%, the machined surface roughness (Ra) can reach 0.3 micrometer or below, and the machined surface precision is reduced by 10%-25%. The grinding wheel is applied to nanoscale grinding of optical glass, sapphire and silicon carbide wafers and forming machining of turbine blade mortises and ceramic matrix composites, and the precision and roughness of the grinding wheel can be effectively guaranteed.

The invention discloses a five-axis numerical control machine tool machining control method and system based on visual inspection, and relates to the technical field of visual inspection methods. Multiple pieces of surface data of the machining surface of a workpiece are determined based on detection of a follow-up machining image at the current moment; the dynamic machining grade of the five-axis numerical control machine tool is determined according to the multiple pieces of surface data, the current machining data combination of the five-axis numerical control machine tool and the machining requirement of the workpiece, and the accuracy of the dynamic machining grade of the five-axis numerical control machine tool is improved; optimizing the current processing data combination of the five-axis numerical control machine tool based on the surface state gradient map, the dynamic processing grade of the five-axis numerical control machine tool and the corresponding processing efficiency; determining a dynamic repair event of the five-axis numerical control machine tool according to the machined surface of the workpiece, the surface repair tool of the five-axis numerical control machine tool and the current state of the five-axis numerical control machine tool, and determining a repair-machining synchronous control system according to the dynamic repair event of the five-axis numerical control machine tool, the current machining event and the dynamic stability coefficient of the workpiece.

The invention provides an equipment sensor machining surface treatment device, and belongs to the technical field of machining, the equipment sensor machining surface treatment device comprises a base and a top plate which are connected with each other through a stand column, a dust collection fan and a dust collection box are fixedly mounted at the top of a connecting plate, an exhaust outlet of the dust collection fan is communicated with the interior of the dust collection box, and an exhaust inlet of the dust collection fan is fixedly communicated with a suction nozzle; one side of the dust collection box is opened and is fixedly connected with a first filter screen, and the first filter screen is matched with the peripheral contour of the opened side of the dust collection box; a second filter screen is slidably arranged in the dust collection box in a limited mode, the second filter screen is in sliding fit with the first filter screen, an elastic reset piece is arranged on the second filter screen, and communication between the first filter screen and the dust collection box can be achieved through sliding of the second filter screen. When a certain amount of dust is attached to the surface of the second filter screen, wind force brought by the dust suction fan can push the second filter screen to slide, so that the first filter screen is communicated with the interior of the dust collection box, and the dust attached to the second filter screen is prevented from affecting exhaust of the dust collection box.

The invention discloses a five-axis side milling machining surface roughness prediction method. Firstly, a workpiece, a cutter location point, a main shaft and a cutter coordinate system are established; secondly, the tool is dispersed in the ZW axis direction of a workpiece coordinate system, and elliptical sections with different geometric parameters are obtained; then tool nose point coordinates, tool axis vectors and eccentric parameters of the current feeding position are extracted, and geometric parameters of an elliptic model are determined according to the tool nose point coordinates, the tool axis vectors and the eccentric parameters; constructing a space trajectory of the elliptical model in combination with a tool machining path and a feeding speed; and finally, deriving to obtain the surface appearance of the workpiece for calculating the overall surface roughness. According to the five-axis side milling simulation method based on the elliptical model, the calculation efficiency can be effectively improved by establishing the elliptical model for five-axis side milling, and the prediction precision is ensured. According to the method, surface roughness control in the complex curved surface machining process is facilitated, and theoretical support is provided for optimizing machining process parameters and improving machining precision.

The invention discloses a material cutting performance evaluation method, device and equipment and a medium, and the method comprises the steps: controlling a milling cutter of a milling machine to mill a to-be-tested material according to preset milling parameters in a feeding direction perpendicular to the to-be-tested material under the condition that a test state is satisfied between fixed equipment and the to-be-tested material, so that a milling surface is formed on the to-be-tested material; controlling the force measuring equipment to monitor the actual milling force applied to the to-be-measured material by the milling cutter in the milling process; roughness detection equipment is controlled to detect the milling face, and the actual roughness is obtained; and evaluating the cutting performance of the to-be-tested material according to the actual milling force, the actual roughness and a preset index. Therefore, by integrating milling, real-time force measurement and surface roughness detection, a set of multi-index collaborative comprehensive evaluation system is constructed, and the cutting force and the machined surface quality can be quantitatively acquired and analyzed at the same time, so that the cutting machining performance of the material is simply, quickly, comprehensively and objectively reflected.

The utility model discloses an indexing positioning right-angle milling head which comprises a right-angle transmission box, a connecting disc fixedly connected above the right-angle transmission box, a milling cutter butt joint piece fixedly connected with one side of the driving end of the right-angle transmission box in a butt joint mode, a milling cutter head rotationally connected with one side of a transmission shaft of the milling cutter butt joint piece, and an oil inlet pipe fixedly connected with one side of the oil inlet end of the right-angle transmission box. A cooling assembly is fixedly connected to the side surface of the milling cutter butt-joint piece close to the milling cutter head; by means of the adjustable cooling system, the spraying angle and the atomization effect of cooling liquid can be dynamically adjusted according to the real-time temperature of the milling cutter head, it is guaranteed that a cutting area is in the optimal cooling state all the time, a cooling blind area caused by traditional fixed spraying is avoided, and the influence of excessive splashing of the cooling liquid on the machining precision is effectively prevented; and the service life of the cutter is prolonged.

By analyzing the micro-texture of the machined surface, inverse estimation of tool mounting eccentricity is realized on the machine tool. [Solution] Under predetermined workpiece parameters, simulation machining is performed based on multiple parameter sets obtained based on different tool parameters, tool attitude parameter settings, and cutting parameters, and the surface shape after machining for each parameter set is obtained. An optimization variable set is constructed based on each parameter set, and the optimization variable set when waviness is most sensitive to changes in tool mounting eccentricity is determined. The tool mounting eccentricity during machining of the workpiece sample is calculated using the constructed relationship between the tool mounting error and the peak-to-peak value of waviness. If the tool mounting eccentricity exceeds the predetermined value, the bull nose end mill is reattached and the workpiece sample is replaced so that the workpiece can be actually machined, and this calculation of tool mounting eccentricity is repeated until the tool mounting eccentricity becomes smaller than the predetermined value.

The invention relates to a gear shaft processing defect intelligent detection system based on deep learning, which belongs to the technical field of intelligent manufacturing and quality control, and comprises a multi-modal sensing data acquisition module used for acquiring multi-modal time sequence signals in a processing process to generate an original sensing data stream; the process-morphology cross-scale mapping module is used for receiving an original sensing data stream and mapping the original sensing data stream into a deep causal state feature sequence; and the defect generation prediction and traceability module is used for combining the deep causal state feature sequence and the instantaneous space coordinates of the cutter to calculate the conditional probability of a specific type of defects, and constructing a defect probability space distribution diagram covering the machining surface of the workpiece. The fundamental problem that in the prior art, only real-time process data can be analyzed, but the specific shape and position of the gear shaft cannot be accurately predicted before defects are formed is solved, and the machining yield of the high-precision gear shaft is greatly improved.

The application relates to the technical field of laser cutting, and discloses a micro-nanoparticle impact strengthening auxiliary heavy piece laser cutting method and device, which comprises the following steps: step one: placing a workpiece to be cut in a specified cutting station; step two: simultaneously outputting micro-nanoparticle gas-solid mixed gas and a laser beam, and the two jointly act on the workpiece to cut; and step three: spraying the micro-nanoparticle gas-solid mixed gas to the surface of the workpiece, and impacting the heat affected zone of the cutting area by the high-energy micro-nanoparticles, so that the molten slag is separated from the surface of the workpiece; the device comprises a control cabinet and a pump source electrically connected to one side of the control cabinet, and a spray head electrically connected to the control cabinet is installed on a cutting platform. The novel spray head is arranged, micro-nanoparticle gas-solid mixed gas and a laser beam are simultaneously outputted, the laser focal point is controlled to act on the surface of the workpiece to be machined during outputting, the surface of the workpiece to be machined is made to generate high temperature and gasify materials, and the molten material after gasification is thrown out.

The invention discloses a multi-parameter collaborative optimization method for deterministic grinding and polishing of a limited space robot, and the method comprises the steps: bringing a material removal amount prediction model, a grinding and polishing track, a robot posture and dynamic error compensation into a unified optimization process through a multi-step collaborative optimization framework; the nonlinear coupling influence of robot attitude adjustment and feeding speed fluctuation on removal amount distribution is reduced, the cooperative problems of removal amount out-of-tolerance, coverage uniformity and interference avoidance caused by multi-parameter coupling in a narrow flow channel are solved, finally, the high-dimensional nonlinear optimization problem is decomposed through an alternating direction multiplier method, the convergence efficiency is remarkably improved, and the convergence efficiency is improved. And it is ensured that the machined surface meets the preset tolerance requirement, and high-precision deterministic grinding and polishing under the limited space are achieved.

The invention discloses a stainless steel pipe joint conical surface tumbling strengthening process parameter optimization method and application. The method comprises the steps that key process parameters influencing the tumbling strengthening machining surface state are obtained; adopting a group of tumbling strengthening process parameters to carry out tumbling strengthening processing on the conical surfaces of a batch of stainless steel pipe joints; the tumbling strengthening process parameters are optimized according to the set fluctuation coefficient, the optimized tumbling strengthening process parameters are adopted to conduct tumbling strengthening machining on the conical surfaces of the other batch of stainless steel pipe joints, and the surface state and performance after tumbling strengthening are detected; and repeating the steps in sequence, carrying out iterative optimization on the tumbling strengthening process parameters by adopting the fluctuation coefficient, and determining the optimal process parameters by analyzing the correlation among the surface yellowing, the tumbling strengthening process parameters and the surface performance data. An iterative loop analysis method combining key process parameters and surface state / performance detection is adopted to iteratively optimize the tumbling strengthening process parameters, and optimization of the tumbling strengthening process parameters is achieved.

The invention discloses a double-cutter vertical milling machine, and relates to the technical field of milling machines. The double-cutter vertical milling machine comprises a machine body, a workbench and a spindle box, a spindle is arranged on the spindle box, a milling cutter is detachably connected to the spindle, a plurality of cutter teeth are arranged on the milling cutter, and the double-cutter vertical milling machine further comprises a first detection mechanism arranged on the side wall of the machine body and used for detecting edge jumping and abrasion of the cutter teeth; and the cleaning mechanism is arranged at the bottom of the spindle box. According to the double-cutter vertical milling machine, before milling, the milling cutters can be cleaned conveniently, chippings are prevented from splashing, meanwhile, the abrasion loss and the difference of the two cutters can be detected conveniently, cutter tooth tipping can be detected conveniently, and the machining quality is guaranteed; during milling machining, the surface in front of a workpiece machining path can be cleaned conveniently, after machining is completed, the roughness of the machined surfaces of the two workpieces can be detected and compared conveniently, and the machining quality is guaranteed.

A dual-path laser-assisted machining system includes a tool; a first laser emitting device; and a second laser emitting device. The first laser emitting device can emit laser to a machining surface of a workpiece and form a first irradiation area. The second laser emitting device can emit laser to the machining surface of the workpiece and form a second irradiation area. The first irradiation area and the second irradiation area have an overlapping area. A machining point of the tool on the machining surface falls within the overlapping area. An angle between a projection of a line connecting the first laser emitting device and the tool on the machining surface and a projection of a line connecting the second laser emitting device and the tool on the machining surface is not 0°.

A method for decorating a timepiece component, particularly a skeleton type watch dial. The component includes at least two different visual appearances, each visual appearance being the unique combination of a surface finish and of a colour. The decoration has the following steps: i) providing a component blank with a first unfinished surface (10a); ii) creating on said first unfinished surface a first termination possessing a first surface finish; iii) applying to the first termination one or more layers of atoms so as to give the first termination a first colour; iv) creating a second termination having at least one breaking of a corner on the blank in order to form at least one bevel or at least one chamfer having a second unfinished surface; v) creating on said second unfinished surface a second termination conferring a second surface finish, and vi) using electroplating, PVD or ALD, to deposit a metallic layer, preferably a layer of rhodium or of gold, on the second termination so as to give the second termination a second colour.

The application relates to a device and method for electrostatic induction and sound surface wave mask electrolytic machining, belonging to the electrolytic machining field. The pump, the liquid storage tank and the electrolytic tank are connected to realize electrolyte circulation. The various components in the electrolytic tank are riveted. The anode and cathode assemblies and the shielding induction electrode assembly are inserted into the electrolytic tank. The positive and negative poles of the power supply are connected with the anode and cathode plates in the anode and cathode assemblies respectively, and the workpiece arranged in the induction electrode assembly is arranged in the electric field between the anode and cathode plates. The piezoelectric ceramic is attached to the base plate of the induction electrode assembly, and the signal generator and the power amplifier are connected with the piezoelectric ceramic. Based on the device, the piezoelectric ceramic is connected with a megasonic driving voltage to generate a surface wave on the surface of the workpiece; the anode and cathode plates are connected with direct current, and the workpiece is arranged in the electric field formed by the anode and cathode plates, so that the surface to be machined of the workpiece is subjected to oxidation reaction, and the non-machining surface is subjected to reduction reaction, thereby realizing wireless induction machining of the workpiece. The application has the advantages of simple operation, re-distribution of the electric field, enhancement of mass transfer, improvement of mask electrolytic machining precision, arrangement of multiple workpieces in the electric field formed by the anode and cathode plates, and substantial improvement of mask electrolytic machining efficiency.

The invention relates to the technical field of grinding systems, in particular to a grinding and measuring integrated self-adaptive variable stiffness force-position combined grinding system. The problems that according to an existing grinding technology, the comprehensive error between the grinding technology and the equipment tail end is large, part of grinding systems adopt the air bag technology, the response is slow, or a macro-micro composite motion platform lacks flexible buffering, and the inherent frequency cannot be matched with surface changes of machined workpieces in real time through manual adjustment are mainly solved. In order to solve the problems that grinding constant force control, response speed and real-time inherent frequency adjustment are seriously insufficient, the following technical scheme is provided: the device comprises an industrial robot, and the operating end of the industrial robot is provided with a connecting piece; and the rigid-flexible coupling force control module is arranged between the industrial robot and the connecting piece and used for achieving constant-force grinding and adjusting the inherent frequency in real time according to the change of the machined surface at the same time. Constant-force grinding, accurate displacement compensation and real-time rigidity adjustment are achieved, the grinding quality and efficiency are greatly improved, and the applicability of equipment in complex workpiece machining scenes is expanded.

The invention provides a multi-axis linkage milling device based on aluminum alloy radiator shell machining, and relates to the technical field of machining. A material collecting box is arranged on the fixing frame, a rail plate is installed on the fixing frame through bolts, a lifting seat is movably arranged on the rail plate, a top frame is installed at the upper end of the lifting seat through bolts, and a first seat and a second seat are installed on the top frame through bolts; through the design of the conveying plate, the partition plate, the discharging pipe and other parts, waste is automatically collected, and the environment is kept clean and tidy; a plurality of transmission parts are matched, so that multi-axis linkage is realized, multi-angle and multi-direction milling can be realized, the machining flexibility and efficiency are improved, and the machining requirements of complex structures are met; a first double-head motor is combined with a second lead screw, a second double-head motor is combined with a third lead screw, the position of a component is accurately controlled, and a workpiece is stably clamped. The storage box, the draw-off pump, the liquid separation hopper and the dropping pipette are combined to cool and lubricate the milling head and the machining part, heat is reduced, tool abrasion is reduced, and the quality of the machined surface is improved.