56results about How to "High geometric accuracy" patented technology

The invention discloses a building contour line extraction method based on deep learning and joint optimization, and the method comprises the steps: collecting a multi-view picture of an urban building, and constructing a DOM and a DSM; making a normalized digital surface model nDSM and a slope map, and marking a building contour line and a polygon; constructing a fishing net segmentation grid and a vector graph layer, establishing training sample images and labels, and substituting the training sample images and labels into a line feature extraction network MFLine-Net and a semantic segmentation network Res-UNet for respective training; extracting a line feature by using a line feature extraction network MFLine-Net; building roof semantic information is extracted by using a Res-UNet network; generating a cell cavity complex by using a motion space subdivision algorithm; correlating the semantic information of the cell units and the roof by adopting a graph cut optimization algorithm; and combining the cell units with the same roof semantic information to obtain a building contour map. According to the method, the city building contour map can be rapidly constructed, and the requirement for photogrammetry building drawing based on the unmanned aerial vehicle is met.

The invention provides a digital twinborn model construction method and device for a hinge object, a terminal and a medium, and the method comprises the steps: constructing a three-dimensional Gaussian splashing model in an initial state through employing a first multi-view image set of the hinge object in the initial state, and identifying an initial movable Gaussian model based on a deformed three-dimensional Gaussian splashing model predicted by the deformation network, and realizing complete self-supervised optimization of the deformation network based on a second multi-view image set of the hinge object in an end state and the deformed model. And jointly optimizing the three-dimensional Gaussian splashing model, re-segmenting the initial movable Gaussian model to obtain a target movable Gaussian model, and acting the estimated initial hinge motion parameters on the initial movable Gaussian model to optimize the motion parameters to obtain target hinge motion parameters, so as to construct digital twinning of the hinge object. According to the method, digital twinning of the hinge object can be accurately reconstructed through the sparse state of the hinge object in a complete self-supervision mode, and the hinge logic is estimated with high accuracy.

The invention provides a rapid three-dimensional modeling method based on seabed point cloud data, a medium and a system, and belongs to the technical field of seabed depth measurement, and the method comprises the steps: firstly, obtaining low-resolution point cloud data through spatial downsampling, and carrying out the multivariate mixed decomposition of the low-resolution point cloud data, and obtaining a stable component and a variable component; constructing an initial three-dimensional grid model based on the stable component, and then dividing the initial three-dimensional grid model into a plurality of sub-regions by adopting a self-adaptive partitioning strategy; and performing partition processing on the original point cloud data according to sub-regions to obtain a plurality of high-resolution point cloud data blocks. And next, performing anomaly identification and noise reduction processing on each high-resolution point cloud data block, reconstructing a corrected high-resolution point cloud data block, performing grid reconstruction and boundary registration, and constructing a complete high-resolution seabed scene three-dimensional model. And the final high-quality seabed scene three-dimensional model is obtained through processing, so that the technical problem that the existing three-dimensional seabed model cannot fully reflect the detail characteristics of the submarine topography is solved.

The invention relates to the technical field of helical line deviation correction, in particular to a correction method and device for helical line deviation of a small-modulus plastic cylindrical gear. The method comprises the following steps: acquiring a multi-azimuth image of a small-modulus gear to be detected; global histogram equalization is carried out on the to-be-detected small-modulus gear multi-azimuth image, and a brightness optimization gear image is constructed; carrying out three-dimensional point cloud reconstruction on the brightness optimized gear image, and carrying out gear total deviation calculation to generate a spiral line total deviation curve; carrying out deviation change situation analysis on the total deviation curve of the spiral line, and carrying out nonlinear shrinkage characteristic mining to obtain a nonlinear shrinkage rule; and performing error compensation calculation on the gear three-dimensional result model according to a nonlinear contraction rule to generate a spiral line contraction error compensation value, and performing error parameter fine adjustment correction on the to-be-detected small-modulus gear so as to obtain corrected gear spiral line parameters. The high-precision and high-accuracy gear helix deviation correction method is realized.

The invention belongs to the technical field of machine tool auxiliary tensioning, and particularly relates to a machine tool auxiliary tensioning device for blade workpiece machining, which comprises a rack, and further comprises a tensioning device and a conveying device which are mounted on the rack. According to the machine tool auxiliary tensioning device for blade workpiece machining, by arranging the clamping mechanism, a blade can be clamped, a rotating rack and a clamping ring groove are fixedly installed, the rotating rack rotates to drive the clamping ring groove to rotate conveniently, and therefore clamping can be conducted according to the irregular shape of the blade; clamping blocks can be kept to be attached to the outer surfaces of the blades, a clamping motor is started to drive one transmission rod to rotate, a bevel gear on the transmission rod can drive the other transmission rod to rotate in the opposite direction through transmission of a transmission bevel gear, and therefore after two clamping gear rings can be driven to rotate in the opposite direction, the blades can be clamped. And the clamping racks are driven to move relatively to clamp the blade.

The invention belongs to the technical field of machining, and particularly relates to a high-precision universal grinding wheel trimming mechanism, a fillet trimming method thereof and a base. The arc-shaped guide rail is fixedly installed on the base and provided with an arc-shaped guide groove, and an arc-shaped conical rack is fixed in the arc-shaped guide groove; the rotary sliding block is slidably mounted on the arc-shaped guide rail, and a position adjusting rod device and a cutter device are mounted on the rotary sliding block; all planes of a grinding wheel can be finished accurately, rapidly and safely, meanwhile, arc surfaces needed for machining of inner and outer circle grinding wheels can be finished, the arc surfaces of machined parts have high geometric precision and surface roughness, the size precision can reach 0.02 mm, the mechanism further has the function of adjusting the radius of the finished arc, and the machining efficiency is improved. Finishing of different arc radiuses can be met, and the machining precision and the machining range of common equipment are greatly improved.

The invention provides a bauxite resource prediction analysis method and system, and relates to the technical field of resource prediction. Performing distortion correction on the earth surface remote sensing image according to the digital elevation data of the target bauxite to obtain an earth surface remote sensing correction image, performing image masking on the earth surface remote sensing correction image to obtain an earth surface remote sensing mask image, and extracting earth surface resource distribution characteristics from the earth surface remote sensing mask image; obtaining geological exploration data of the target bauxite, generating an ore body three-dimensional distribution model through the surface resource distribution characteristics and the geological exploration data, obtaining a bauxite database, and constructing a metallogenic knowledge graph of the bauxite according to the bauxite database; the ore body grade is predicted according to the ore body three-dimensional distribution model and the mineralization knowledge graph of the bauxite, and ore body grade prediction information is obtained, the quality of remote sensing images can be improved, the complementarity of data is enhanced, and the reliability of bauxite resource prediction is improved.

The invention relates to the technical field of battery pack shell processing, in particular to new energy automobile battery pack shell integrated punch forming equipment. Comprising a bottom plate, a workbench is installed at the upper end of the bottom plate, a portal frame fixedly connected with the workbench is erected above the workbench, a male die unit is arranged at the lower end of a horizontal section of the portal frame, a female die unit is arranged at the upper end of the workbench, and a limiting assembly used for circumferentially limiting a plate is arranged at the upper end of the workbench. The limiting assembly is adopted for conducting centering alignment and circumferential limiting on a plate before stamping, and it can be guaranteed that the plate is kept at the fixed and accurate position in the stamping process; the contact area of the male die unit and the female die unit with a punch-formed shell can be reduced through the inward shrinkage assembly and the outward expansion assembly, the friction force and the adsorption force between the male die unit and the shell and between the female die unit and the shell are reduced, the situation that the shell deforms due to external force in the demolding process is avoided, a smoother demolding path can be formed easily, and the demolding quality is improved. The forming quality and the demolding efficiency are improved.

The invention relates to the technical field of forging, and discloses a high-speed forging machine which comprises a placing table, a forging casting is placed in the center of the top of the placing table, a forging block is arranged over the forging casting, a connecting plate is fixedly connected to the top of the forging block, and a downward pressing assembly for driving the forging block to conduct forging is arranged above the connecting plate. And overturning assemblies for driving the forged casting to overturn are arranged on the two sides of the connecting plate, and the forged casting can be overturned by 180 degrees through the overturning assemblies in the ascending and resetting process of the forging block, so that when the forging block carries out downward pressing forging next time, the other face of the forged casting can be forged by the forging block, and the forging efficiency is improved. According to the method, how to repeatedly carry out cyclic forging, the two faces of a forged casting can be evenly forged, it is ensured that metal obtains even deformation in the whole forging process, the problems of uneven stress and deformation caused by single-face treatment are solved, and therefore the geometric accuracy and the structural consistency of products are improved.

The invention relates to a vehicle floor assembly (5) having a vehicle floor (4) as a component of a motor vehicle body, which vehicle floor assembly has a flat floor region and forms on two opposite longitudinal sides and on two opposite end sides so as to form the vehicle floor (4), which is arranged between two sills (2). The invention relates to a vehicle floor (4) for a motor vehicle, said vehicle floor (4) having a flat bottom region in which at least one groove (7) is formed which is formed so as to point downwards in the vertical direction (Z) of the motor vehicle, the vehicle floor (4) being produced integrally during the stroke of a press, the vehicle floor (4) being formed integrally with regions of different wall thicknesses and / or different tensile strengths (Rm) from one another.

The invention relates to a preparation method and stretching equipment of a large-proportion pipe. The large-proportion pipe is characterized in that the outer diameter / inner diameter of the pipe is larger than 5. The preparation method comprises the following steps: preparing a pure quartz hollow pipe blank by using OVD, carrying out inner and outer diameter grinding processing on the pure quartz hollow pipe blank to obtain a pure quartz hollow sleeve with small wall thickness deviation, drawing the pure quartz hollow sleeve into a pure quartz pipe by using a vertical melting and drawing device, vacuumizing in the drawing process, and giving a certain relative vacuum degree to obtain the pure quartz pipe. And controlling the ratio of the pipe to the outer diameter / inner diameter to be more than 5. The pure quartz hollow tube blank is prepared through the OVD technology, the requirement for high purity of the quartz tube material is met, the hydroxyl content is low, the machining efficiency is high, and the manufacturing cost is low; the vertical melting and stretching equipment is simple and reasonable in structural arrangement, the annular thermal field is uniformly distributed, and the drawing processing quality of the pure quartz pipe is ensured; and meanwhile, the ratio of the outer diameter to the inner diameter is changed and controlled through the vacuumizing function of the vertical melting and stretching equipment.

The invention provides a surface mine live-action modeling system and method. The method comprises the following steps: automatically acquiring oblique photography images and laser point cloud data of a target mine area through an intelligent data acquisition unit; the data is stably transmitted back to a local data processing center through the data communication and transmission unit; performing automatic preprocessing and quality evaluation on the returned data through a data preprocessing and quality evaluation unit to form a quality control closed loop; a live-action three-dimensional model which is high in precision and supports real-time rendering is generated through a live-action three-dimensional modeling engine unit on the basis of a 3D Gaussian technology and by fusing multi-source data and mine semantic constraints; according to the method, the high-precision live-action three-dimensional model supporting real-time interaction is efficiently and automatically generated, and a powerful data basis is provided for mine digital twinning, safety production and intelligent decision making.

The invention belongs to the technical field of automobile part planing machining, and particularly relates to an automobile part in-shaft spline planing device which comprises a planing table, a side plate is fixedly connected to the planing table, a clamping mechanism used for fixing a workpiece is arranged on the side plate, a mounting ring is slidably connected to the upper end of the planing table in the horizontal direction, and the mounting ring is fixedly connected to the planing table. A planing piece is arranged on one side, close to the workpiece, of the mounting ring; and the intermittent planing mechanism is used for driving the planing piece to intermittently advance so as to avoid excessive loss of the planing piece. The intermittent planing mechanism is arranged, in the planing machining process, an annular plate is pushed through a strip-shaped tooth groove, planing machining of automobile parts is achieved, due to the fact that the pushing distance of a datum plate is smaller than that of the annular plate, the annular plate automatically moves by the distance of one station after being reset, and the machining precision of the automobile parts is improved. And therefore, when the annular plate and the planing piece are propelled next time, the planing piece is deeper into the workpiece, so that the planing piece intermittently planes the automobile parts.

This invention relates to the field of microfluidic control technology and discloses a method and system for detecting and controlling microfluidic droplet formation. The method first constructs an ideal concentric ring geometric model by acquiring the target parameters of the microcapsule and establishes a force-shape coupling response matrix. Based on this, a preset velocity triplet is solved to generate the initial droplet. Then, droplet image sequences are acquired and fitted with real-time concentric ring groups. These are geometrically superimposed with the ideal concentric ring geometric model to generate a deviation ring domain, which is then decomposed hierarchically to obtain geometric deformation characteristic components. Finally, a coordinated velocity adjustment vector is calculated using the force-shape coupling response matrix, a composite fluid correction field is constructed, and the deviation ring ablation cycle is iteratively executed until geometric convergence is achieved. This invention effectively solves the oscillation problem caused by strong parameter coupling in multiphase flow fields by constructing a quantitative mapping and inverse decoupling mechanism between fluid and geometric shape, achieving coordinated and precise control of the microcapsule's external dimensions and internal structure.

The invention discloses a three-dimensional model reconstruction method based on a sheet metal bent part expansion drawing, and the method is characterized in that the method comprises the following steps: S1, analyzing a sheet metal expansion drawing, classifying the analyzed primitive entities, and storing the primitive entities in corresponding primitive sets; s2, primitive preprocessing: performing de-weighting, breaking and discrete processing on the primitive, and screening out a metal plate bending line; s3, closed contour searching; s4, judging whether a closed contour exists or not, if not, repeating S3, and if yes, entering S5; s5, contour segmentation and topology construction: performing inner row segmentation on the outer contour and the inner contour by using a bending line, and establishing a geometric adjacency relation between the inner contour and the outer contour; s6, bending deduction is conducted, specifically, a deduction value is calculated according to the workpiece and bending information, and contour deduction is conducted on the contour; and S7, performing three-dimensional reconstruction, and constructing a three-dimensional entity model. According to the method, the technical defects that three-dimensional model reconstruction cannot be correctly carried out on a complex sheet metal expansion drawing and the model size error is large are overcome.

This invention discloses a method for constructing a realistic depth estimation training dataset based on a 3D mesh and 3D Gaussian splashing, relating to the field of UAV aerial surveying technology. The method involves acquiring aerial image sequences using a visible light camera mounted on a UAV platform, and filtering and preprocessing the image quality; generating a dense point cloud and a 3D mesh; training and generating a 3DGS model based on camera pose and image sequences consistent with the 3D mesh; unifying the 3D mesh, camera pose, and 3DGS model to the same world coordinate system; and using Z-buffer rasterization to output pixel-by-pixel depth and validity masks; generating RGB images of the corresponding viewpoint in the 3DGS renderer; and encapsulating the dataset according to a recommended data organization structure. This invention can accurately generate realistic RGB and geometrically accurate depth, with strict pixel alignment between the RGB images and depth maps, adapting to the needs of real-world application scenarios such as UAV aerial surveying and actual terrain mapping.

The present invention discloses a method for extracting line features of building three-dimensional point clouds based on deep learning, including: firstly, using a ground fixed station laser scanner to obtain laser point cloud data of buildings in a survey area, then slicing the acquired three-dimensional point cloud of buildings, projecting the sliced ​​point cloud to a two-dimensional occupancy probability image, and calculating the PCA1 based on the weight center decomposition of each pixel according to the density of the sliced ​​point cloud to generate a sub-image; then manually marking the building contour line and making a training sample data set; then constructing a line feature extraction neural network LALine‑Net, obtaining the neural network model parameters through network training and model evaluation; applying new data to perform model prediction, extracting the line features of the laser point cloud of buildings in the survey area; finally, refitting and optimizing the extracted line features to obtain the final building contour line features. The present invention can quickly extract the urban building contour line from the laser point cloud, has better integrity and geometric accuracy, and can meet the needs of building mapping based on laser three-dimensional point clouds.

The invention discloses a method for producing a large-diameter duplex stainless steel seamless tube by a periodic rolling mill. The method comprises the following steps: processing a through hole by a bar billet machine to prepare a hollow tube blank; carrying out cross piercing treatment on the hollow tube blank to prepare a tubular billet; rolling the tubular billet by a periodic rolling mill in a forging manner to prepare a pierced billet, carrying out solid solution heat treatment on the pierced billet, and processing the pierced billet by a pierced billet machine to prepare a seamless steel tube. The mechanical property and the metallographic structure of the material of the duplex stainless steel seamless pipe are obviously superior to those of a conventional production process, so that the production process difficulty of the S22053 large-diameter duplex stainless steel seamless pipe is greatly reduced, the lasting stability, especially the strength and the impact toughness, of the product quality is improved, the metal yield of the large-diameter S22053 duplex stainless steel pipe is greatly increased, and the production cost is reduced. The production cost is reduced.

The present application relates to the technical field of simulation sandbox, and particularly relates to a simulation sandbox data base construction method and device, wherein the method constructs compatible domain object models in the localization BIM forward design stage; according to unstructured drawings, localization BIM models and other data types, SHP data, geometric feature data and structured topology data are extracted or generated; simulation element data is obtained through field-level direct mapping, SHP data is converted twice and coordinates are unified, and then geometric feature completion, line segment merging and topology reconstruction are performed, object construction and labeling are completed based on the simulation element data, and simulation sandbox data base is obtained. The present application solves the problems of low construction efficiency, poor compatibility and insufficient geometric accuracy, realizes standardized data processing and efficient construction, can be directly loaded into a simulation sandbox, is suitable for airport and other scenes, and improves simulation accuracy and reliability.

The invention discloses a joint surgical operation data fusion processing method and system based on a multi-modal image, and relates to the technical field of image processing. The method comprises the following steps: performing motion state evaluation based on joint trajectory data of each posture point image in a multi-modal image, and dynamically acquiring a reference joint image of the multi-modal image based on a motion state evaluation result; performing image accuracy evaluation based on joint position data in each reference joint image, and dynamically correcting the joint data based on an image accuracy evaluation result; and forming a joint three-dimensional model based on the corrected joint data, performing dynamic region division based on joint evaluation parameters in the joint three-dimensional model, and dynamically adjusting the model geometric accuracy of the joint three-dimensional model based on a region division result and a joint category. Accurate quantitative analysis of the joint movement function, individualized high-precision three-dimensional model reconstruction and systematic improvement of clinical diagnosis efficiency are achieved.

The invention discloses a stereoscopic image and laser data combined irregular object high-precision three-dimensional modeling technology. A modeling camera is used for collecting stereoscopic images, with the overlapping degree, of a sequence of a to-be-modeled target object; the accurate distance between the platform and the surface of the to-be-modeled target object is obtained through measurement data of a laser altimeter, and three-dimensional coordinates of a laser footprint in a world coordinate system are obtained according to a laser footprint coordinate calculation formula; a laser footprint camera is used for collecting laser spots of the laser footprint on the surface of the irregular to-be-modeled target object, and a laser footprint image coordinate extraction algorithm is used for obtaining image coordinates of the laser footprint; and processing the optical image of the to-be-modeled target object by using the bundle block adjustment model to obtain an accurate exterior orientation element of each image so as to realize high-precision three-dimensional modeling of the to-be-modeled target object. According to the method, the geometric accuracy of shape modeling is improved by combining stereoscopic images with a laser height measurement technology and integrating the advantages of two technical means of images and laser.

This invention belongs to the interdisciplinary field of computer vision and 3D reconstruction, specifically relating to a generative 3D reconstruction method and system based on global constraints of location information. The method includes the following steps: S1, inputting multi-view UAV image sequences into a pre-trained feedforward neural network, which predicts sparse point clouds and the camera pose for each image; S2, extracting GNSS location information from the image sequence and using it as a global constraint to jointly optimize the sparse point cloud and camera pose, obtaining optimized point clouds and optimized camera poses in an absolute geographic coordinate system; S3, based on the optimized point cloud, employing a 3D Gaussian splashing method and utilizing the optimized camera pose for differentiable rendering optimization, generating a realistic 3D model with absolute geographic coordinates. This method, while ensuring 3D reconstruction accuracy, rapidly generates a geographic coordinate system 3D model, providing an efficient and scalable technical solution for city-level realistic 3D construction.

The invention relates to the technical field of additive manufacturing, in particular to a method for preparing a NiTiFe alloy with low elastic modulus based on additive manufacturing. According to the method, additive manufacturing is conducted on target metal powder on the basis of the forming principle of layer-by-layer superposition of additive manufacturing, and compared with a traditional metallurgical technology, excellent surface quality and geometric accuracy can be provided, and intelligent integrated forming of complex workpieces can be rapidly achieved; through the set raw material ratio, the critical defect concentration appearing at the low elastic modulus in the material can be met, Fe atoms can also serve as heterogeneous nucleating agents, a unique fine grain structure can be formed in the non-equilibrium solidification process under appropriate forming parameters, the mechanical performance of the material is greatly improved, and the advantage that the material characteristics are cooperatively considered is achieved; atomic relaxation generated after the Fe element is added into NiTi not only can generate point defects required by low elastic modulus, but also can generate dislocation, precipitation phase and other multi-dimensional defects at a matrix and a grain boundary.

The present application provides an image stitching method, device, equipment, storage medium and product, the image stitching method comprises the following steps: fusing the shooting distance value between a plurality of shooting devices and the imaging target surface to generate the reference distance feature corresponding to each frame image; inputting the reference distance feature into a pre-trained stitching parameter prediction model to obtain the stitching parameter required for the current frame image stitching; based on the stitching parameter, the images collected by the plurality of shooting devices are initially stitched to form an initial panoramic image; the region of interest is set in the boundary region of the initial panoramic image, and the images in the region of interest are pre-adjusted; the pre-adjusted initial panoramic image is processed to obtain a final panoramic image. The method can fuse the distance between the shooting device and the imaging target surface in real time, and dynamically update the related stitching parameters according to the distance, combine the image features for fine fusion, and avoid the problems of stitching delay and obvious stitching effect fluctuation.

The present invention provides a semiconductor mask data graphics optimization method and system, which relates to the field of data processing technology. The method includes: obtaining semiconductor mask data, the semiconductor mask data includes a design graphic to be processed; constructing a photolithography imaging model; performing preliminary segmentation on the design graphic to be processed; inputting the design graphic after preliminary segmentation into the photolithography imaging model, and outputting the actual graphic after photolithography processing; calculating the EPE sensitivity of each segment of the graphic based on the difference between the design graphic and the actual graphic; performing fine segmentation on the design graphic after preliminary segmentation based on the EPE sensitivity; sensing the EPE, PV band area and CPU running time of the process variation of each segment of the graphic, controlling the movement of each segment of the graphic after fine segmentation, and performing graphic optimization on the design graphic. The present invention can improve the geometric accuracy of the pattern, improve the efficiency of graphic optimization, and reduce the difficulty of graphic optimization.

This invention relates to the field of image recognition technology, specifically to a tumor detection and recognition method and system based on MRI images. The method includes the following steps: screening candidate lesion regions based on a gradient orientation stability matrix; constructing a spatial projection displacement map; establishing a dynamic boundary framework by combining boundary variation rate; dividing into levels according to a sequence morphological consistency matrix; and performing differential reshaping to generate recognition results. This invention, by constructing a gradient orientation stability matrix and an anisotropy scoring mechanism, quantitatively evaluates the distribution of pixel vector angles; utilizes spatial projection displacement maps and boundary variation rate analysis to dynamically capture structural continuity features between slices; automatically eliminates artifact interference and constructs a high-fidelity dynamic boundary framework; divides into differential levels by combining a sequence morphological consistency matrix; and performs mean adjustment and edge reshaping for regions with different confidence levels. This improves the geometric accuracy and structural integrity of tumor lesion recognition under complex imaging conditions.

The present invention relates to the field of geological exploration technology, and in particular to a method and system for intelligent lithology identification based on deep learning. The method comprises the following steps: obtaining original core image data; extracting texture hierarchy features based on the original core image data to generate core significant texture structure feature data; performing fine rock layer image segmentation processing based on the core significant texture structure feature data to generate fine rock layer segmentation map data; constructing an intelligent lithology identification model; transmitting the fine rock layer segmentation map data to the intelligent lithology identification model to identify the target lithology attributes, and predicting the time series lithology evolution boundary to obtain predicted lithology evolution boundary data; performing lithology spatial distribution pattern recognition based on the predicted lithology evolution boundary data to generate lithology spatial distribution pattern data. The present invention realizes high-precision, automated and rapid lithology discrimination by finely segmenting the rock layers of core images, and significantly improves the efficiency of resource assessment in mining areas.

The utility model discloses a kind of internal gear gear grinding machine workpiece main shaft device, comprising: worm gear mechanism, and worm mechanism, wherein, the worm gear mechanism includes: workpiece main shaft, workpiece main shaft box is installed on the workpiece main shaft, index worm wheel is installed on the workpiece main shaft;The worm mechanism includes: double floating worm, the double floating worm is engaged with the index worm wheel, the end of the double floating worm is connected with power mechanism, and the power mechanism is installed on the workpiece main shaft box. By designing a set of meshing side gap adjustable high-precision double floating worm gear mechanism inside headstock, the precision of main shaft can be adjusted during working process, so that transmission efficiency is high, can bear larger load and torque, realize smooth transmission, and adjustment is simple, convenient for later maintenance.

The invention discloses a dispersion copper alloy powder cold isostatic pressing device which comprises a rubber wrapping sleeve body, a filling cavity is formed in the rubber wrapping sleeve body, an opening communicated with the filling cavity is formed in the top of the rubber wrapping sleeve body, a folded edge is arranged on the portion, on the outer side of the opening, of the rubber wrapping sleeve body, and an annular groove is formed between the rubber wrapping sleeve body and the folded edge. A fastening ring is installed in the annular groove, a rubber wrapping sleeve cap is installed on the top of the rubber wrapping sleeve cylinder, the outer sides of the folded edges are wrapped with the two sides of the rubber wrapping sleeve cap, and a clamping hoop is further installed on the outer side of the rubber wrapping sleeve cap. In the cold isostatic pressing forming process, internal powder forming can be effectively achieved, it is guaranteed that a powder filling cavity in a rubber bag sleeve body is uniform in stress, good in formability and free of edge corner chipping, meanwhile, a pressurizing medium can be effectively prevented from entering the bag sleeve, and the problem that water easily enters the cold isostatic pressing forming bag sleeve is solved.

This invention discloses a triaxial orthogonal array eddy current tensor probe and method based on liquid metal microchannels, belonging to the field of electromagnetic nondestructive testing technology. It includes an excitation coil and a receiving unit disposed within the excitation coil. The receiving unit employs an array of three-dimensional sensing units, each comprising: a cubic frame; and three coil groups respectively disposed on the X, Y, and Z faces of the cubic frame. The coils disposed on the X, Y, and Z faces of the cubic frame are spatially coupled at the intersection edges of adjacent faces using an interlaced weave structure, causing the equivalent electromagnetic centers of the three coil groups to converge in physical space to the geometric center point of the cubic frame. The probe of this invention has a compact structure and is suitable not only for planar surfaces but also for the inspection of pipes or curved workpieces by adjusting the bottom shape. It features a high signal-to-noise ratio and omnidirectional consistency.