1197 results about "Machined surface" patented technology

The present invention belongs to the technical field of machining and punching, and in particular relates to a surface pressurized punching device for anode plate machining. The surface pressurized punching device comprises a workbench of a table structure, a machine unit mounted on one side of the workbench, and a rack welded to the table top of the workbench, wherein an operation platform is fastened to the table top of the workbench and inside the rack by means of bolts, and clamping plates which are oppositely arranged are slidably mounted on two sides of the surface of the operation platform; and a hydraulic cylinder is mounted at the center of the surface of the rack, and an output shaft of the hydraulic cylinder running into the rack is fixedly connected to a drill rod by means of a coupler. By means of providing a reaming assembly, an electric motor B is controlled by an external power supply to operate while the hydraulic cylinder drives the drill rod to move, such that the electric motor B drives, by means of a gear A and a chain, a gear B to rotate synchronously while the electric motor B moves with the drill rod by means of an outer frame, thereby driving the drill rod to rotate. Thus, the surface of the drill rod can rotationally grind and finish holes in an anode plate while the drill rod performs drilling, thereby reducing burrs.

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.

The invention provides a low-temperature cutting machining process monitoring and quality feedback control system, comprising: a sensor detection module comprising a vibration sensor, a temperature sensor, an acoustic emission sensor, a pressure sensor, a flow sensor and a structured light sensor; the signal processing and analyzing module is used for performing preprocessing, decomposition and feature extraction on the signal data acquired by each sensor and performing surface topography reconstruction on the point cloud data to obtain processing signal features and a processing surface three-dimensional topography model; the machining state and quality analysis module is used for analyzing the machining signal characteristics and the machining surface three-dimensional shape model and judging the machining state and the machining quality of the part to obtain machining state information and machining quality information; and the process parameter adjusting module is used for comparing and identifying the processing state information and the processing quality information with existing data in a database, so that process parameters are adjusted according to expert knowledge and process rules in the database.

The invention discloses a robot grinding surface roughness prediction method considering dynamic factors based on deep learning, and relates to the technical field of industrial robots. The method comprises the following steps: carrying out self-extraction on grinding machining dynamic factor spatial features by adopting a convolutional neural network; performing time sequence feature extraction on the extracted space by adopting a bidirectional long-short-term memory network; carrying out standardization and normalization processing on the extracted space and time sequence features and static factors; utilizing an improved whale algorithm to optimize hyper-parameters of the bidirectional long-short-term memory network, and further introducing an attention mechanism to realize feature automatic weight distribution; the steps are integrated, and an IWOA-CNN-BiLSTM-Attention surface roughness prediction model is constructed; and inputting the static factors, the extracted features and the surface roughness measurement value into a prediction model for model training, and outputting a surface roughness prediction value to realize a surface roughness prediction function. The method can solve the problem of difficulty in dynamic factor feature selection, and improves the model prediction precision.

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.

A machining system for vertically milling a large-diameter inner hole comprises a cutter bar, a bolt type coupler, a sleeve type cutter tower and a special milling cutter. The machining method for vertically milling the large-diameter inner hole by using the machining system comprises the following steps of: clamping a blank; the axis of the special milling cutter is on the H surface; during machining, the special milling cutter moves in the radial direction of the H face, when special conditions are met, the special milling cutter clockwise deflects by a given angle theta around the axis of an inner hole of the workpiece to be machined, and then the special milling cutter horizontally moves by a distance ld along the diameter of the workpiece according to the given cutting depth ap; and the special milling cutter is axially fed towards the direction of the chuck, and the linkage of the axial movement of the special milling cutter and the rotation of the workpiece to be machined is realized. According to the special milling cutter, the angle deflection of the cutter can be flexibly realized, and the machined surface is easily protected; according to the machining method, milling machining is adopted, the chip shape is good, the tool durability is high, the size precision and shape precision are high, the machining efficiency is high, and the comprehensive technical effect is good.

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 utility model discloses an indexable wave-shaped edge turning blade which comprises a blade body with a center hole in the geometric center, a cutting unit is arranged on the upper surface of the blade body, and the cutting unit comprises an arc edge located at the vertex angle of the blade body and a main cutting edge connected with the two ends of the arc edge. Chip flutes are formed in the main cutting edge in the direction extending towards the center hole, and every two adjacent chip flutes located at the vertex angle are symmetrically separated through an isolation belt; the main cutting edge includes a wave-shaped cutting edge, the wave shape of which is shaped in an axial direction. Through the design of the wave-shaped cutting edges, the chip flutes and the isolation belts, the cutting force is effectively reduced, the chip treatment is improved, the quality of the machined surface is remarkably improved, and the service life of the cutter is remarkably prolonged.

The invention provides a surface roughness monitoring method of an embedded physical prediction model. According to the method, in a model training stage, cutting force signals and three-phase current signals of a main shaft servo motor in the machining process are collected through a dynamometer and a current sensor, the signals are preprocessed and then input into a cutting force calculation module, cutting force under the corresponding current signals is output, and the obtained cutting force is used for calculating a surface roughness theoretical value; and the current signal, a current signal and a processing parameter are input into a surface roughness calculation module, and a surface roughness monitoring model is trained. In the machining stage, the roughness value of the machined surface of the workpiece at the moment is calculated in real time by collecting the three-phase current signals of the main shaft servo motor in the machining process, and it is avoided that sensors such as a vibration sensor or an acoustic emission sensor or a dynamometer are installed in a machine tool in the actual machining stage.

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 discloses a deep learning-based machining surface plastic deformation measurement method and system, and belongs to the technical field of metal cutting machining. According to the method, a parallel encoder-decoder structure is adopted, and spatial and temporal features and spatial features of a deformed image pair are fully extracted through multi-layer multi-scale convolution contraction and expansion and are used for predicting a deformation field. A double-attention mechanism module is introduced, position and channel characteristics are combined more effectively, efficient and high-precision measurement of a material deformation field is achieved, and a traditional digital image correlation method can be effectively replaced. According to the method, a Boolean model is used for generating an initial speckle capable of approaching a real environment, a simulated deformation image pair is obtained through image distortion, and the availability of a virtual data set is evaluated by using an autocorrelation full width at half maximum, a system error, a random error and an average gray scale gradient; a large number of high-quality data sets for deep learning training are efficiently provided, so that the model is free from limitation of a real data set, and the generalization of the model is improved.

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 relates to a packaging electrode, a manufacturing method thereof and a semiconductor packaging device. The manufacturing method comprises the steps that a diamond composite metal base layer is prepared, a first alloy layer and a second alloy layer are formed on the upper side surface and the lower side surface of the diamond composite metal base layer respectively, and a conductive flange is formed on the side wall of the diamond composite metal base layer; the diamond composite metal base layer, the first alloy layer, the second alloy layer and the conductive flange are of an integrated structure. The surfaces, deviating from the diamond composite metal base layer, of the first alloy layer and the second alloy layer are machining surfaces and are used for being in direct contact with a chip; the flange welding surface of the conductive flange is free of diamond composition. According to the invention, the forming quality and performance of the large-size packaging electrode can be improved, so that the packaging reliability of the semiconductor packaging device can be effectively 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 discloses a cashier desk panel machining method which is used for machining a workpiece, the workpiece is provided with four side surfaces, a top surface and a bottom surface which are sequentially connected, and the cashier desk panel machining method comprises the following steps that the workpiece is horizontally installed on a first clamping assembly, a first machining surface of the workpiece is milled through a cutter, and a first semi-finished product is obtained; the first semi-finished product piece obtained in the second step is moved and horizontally installed on a second clamping assembly, a second machining face on the first semi-finished product piece is milled through a cutter to obtain a second semi-finished product piece, and the second semi-finished product piece obtained in the fourth step is moved and vertically installed on a third clamping assembly to obtain a third semi-finished product piece; and the third machining face on the second semi-finished product is milled through the cutter, and a finished product is obtained. According to the invention, the precise positioning of the workpiece is realized, the condition of deviation or local shaking of the workpiece is avoided, the machining precision and quality are improved, and the adverse effect of machining holes and grooves newly formed in the workpiece on clamping is effectively avoided.

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 discloses a mirror surface machining method and a workpiece formed by the mirror surface machining method. The mirror surface machining method comprises the steps that a to-be-machined workpiece with the needed size is selected; a workpiece to be machined is clamped on a machining machine table; a first milling cutter is selected to conduct semi-finish machining on the shape and size of the workpiece to the needed standard size, and then a second milling cutter and a cutter path are adopted to directly cut the machining face of the workpiece through the mirror face machining technology; the workpiece is cooled while being milled, so that the situation that the temperature is too high in the milling process, tool deformation is caused, and cuttings adhere to the tool is prevented; the mirror surface machining method has the beneficial effects that the numerical control machine is used for milling the workpiece through the mirror surface machining method by adopting a special tool and a tool path, so that the finish degree of the machined surface of the workpiece can be improved by more than three levels (the roughness Ra value can reach below 0.2 mu m), and the machining precision of the workpiece is improved by more than three levels (the roughness Ra value can reach below 0.2 mu m). And the surface micro-hardness of the workpiece is improved by more than 10%, and the surface wear resistance and corrosion resistance of the workpiece are greatly improved.

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 discloses a compressor blade grinding model optimization method, which is characterized in that after a compressor blade theoretical model is split according to regions, compared with an integral theoretical model, the compressor blade theoretical model is more beneficial to programming and optimization of machining programs of each region according to numerical control grinding steps. A compressor blade theoretical model has the phenomena of local curvature radius sudden change, distortion, intersection and folding of molded surfaces at corners and the like, so that a cutter projection cannot be attached; each curved surface part of the optimized and reconstructed model is in smooth transition, and the tool path is uniform and smooth. The reference cutter shaft vector is given, cutter shaft control can be conveniently carried out during numerical control grinding machining programming, cutter shaft swing in program control is more consistent, the connecting positions of all machining programs are smoother, and the consistency of numerical control grinding machining surfaces is 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 provides a waviness error compensation device based on a multi-axis nanometer ultrafast system.The compensation device comprises four driving units of the same model, a flexible hinge, a vacuum adsorption platform, a connecting flange and a fixed base, and each driving unit comprises a piezoelectric ceramic driver and a displacement sensor; the piezoelectric ceramic drivers are located at the bottoms of the flexible hinges, the vacuum adsorption platform is connected with the flexible hinges, the lower ends of the piezoelectric ceramic drivers are connected with the fixed base for supporting, the four sets of flexible hinges are symmetrically distributed on the connecting flange in parallel, the connecting flange is located on the fixed base, and the waviness error compensation device has three degrees of freedom. Voltage is applied to drive the piezoelectric ceramic driver to adjust the posture of the vacuum adsorption platform. By means of the scheme, relative vibration between the tool nose and the workpiece can be compensated in real time, the fly-cutter cutting arc waviness error is restrained, and therefore the quality and precision of the machined surface are remarkably improved.

The invention provides an auxiliary machining quality evaluation method based on three-dimensional point cloud data, a medium and equipment, and relates to the technical field of machined part quality detection. The method comprises the following steps: firstly, acquiring a three-dimensional point cloud corresponding to a to-be-detected workpiece, comparing the three-dimensional point cloud with a limit model corresponding to the to-be-detected workpiece, and determining an out-of-tolerance area for key detection to determine whether the to-be-detected workpiece is qualified or not; and under the condition that the to-be-detected workpiece is qualified, determining a target coordinate system corresponding to the target surface of the to-be-detected workpiece by using an OBB direction bounding method, and establishing a multi-dimensional feature tensor corresponding to the target point cloud by combining at least two target evaluation indexes of the target surface, so as to express the quality characteristics of the target point cloud through a multi-dimensional data structure. And finally, inputting the multi-dimensional feature tensor corresponding to the target point cloud into a preset quality evaluation model, and predicting to obtain the quality grade of the target surface, thereby assisting to realize comprehensive and accurate evaluation of the quality of the workpiece processing surface.

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 discloses a device for orderly arranging abrasive particles of a curved surface brazing tool, which relates to the technical field of brazing and comprises at least one curved surface template, the longitudinal section of each curved surface template is arc-shaped, the surface of one side of each curved surface template can be matched with at least part of the surface to be processed of a base body, each curved surface template is provided with a plurality of through holes, and the through holes are communicated with the curved surface template. The symmetric surface, perpendicular to the longitudinal section of each curved surface template, of each curved surface template is a first symmetric surface, the center line of each through hole is parallel to the first symmetric surface or coplanar with the first symmetric surface, each through hole can allow abrasive particles to pass through, and the surface, used for being matched with a base body, of each curved surface template is a working surface; the working surface of each curved surface template can be adhered to the to-be-processed surface, and the working surface of each curved surface template can be separated from the to-be-processed surface. The utility model has the advantages of simple structure, simple processing procedure, high production efficiency, low manufacturing cost and good processing quality.

The grinding device comprises a shell, a control box is fixedly installed at the left end of the shell, a box door is rotationally connected to the front portion of the inner surface of the shell, and a grinding assembly is fixedly installed on the rear portion of the inner surface of the shell. A rotary vibration assembly is arranged on the rear portion and the front portion of the inner surface of the shell, and a cleaning assembly is arranged on the lower portion of the inner surface of the shell. According to the grinding device for precision bearing machining, the rotary vibration mechanism and the hydraulic mechanism are arranged, so that an outer ring of a bearing can be stably and internally supported, ultrasonic vibration is transmitted through a wave guide rod in the rotating process, heat accumulation caused by friction in the grinding process can be effectively reduced, and the grinding efficiency is improved. And meanwhile, the material removal efficiency in the grinding process is improved, the roughness of the machined surface is reduced, and finally the grinding quality and the performance stability of the bearing outer ring are improved.

The invention discloses a milling blade with a double-layer sleeking structure, and belongs to the field of metal cutting machining, the milling blade comprises an upper surface, a lower bottom surface and a peripheral surface, the peripheral surface comprises two side surfaces and two end surfaces, a main cutting edge is formed at the intersection part of the upper surface and the side surfaces, and a main cutting edge is formed at the intersection part of the lower bottom surface; a main sleeking edge, a clearance groove, an auxiliary sleeking edge and an auxiliary cutting edge are sequentially formed in the intersection position of the upper surface and the at least one end surface in the direction away from the main cutting edge. In the cutting machining process, under the condition that the quality of the machined surface is affected due to the fact that the main sleeking edge is provided with a notch or cracks, the auxiliary sleeking edge can conduct secondary sleeking machining on the machined surface so as to supplement the sleeking machining function lacked by the blade body, and then the machining precision of the surface can be continuously maintained. The effective machining time is prolonged due to continuous use of the milling blade, which means that the service life of the milling blade is also prolonged.

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.