212results about How to "High quality and precision" patented technology

The invention relates to the technical field of industrial equipment management, and discloses an equipment management method for a 3D digital factory, and the method comprises the following steps: sensing the operation parameters of a network collection device through the Internet of Things; processing the operation parameters by utilizing a cloud computing or edge computing technology; dynamically generating an equipment health state based on the processed data; the equipment management system of the 3D digital factory comprises an Internet of Things sensing network used for collecting operation parameters of the equipment; the data processing module is used for carrying out cleaning, noise reduction, dynamic modeling and anomaly detection on equipment operation parameters; and the equipment health state generation module is used for generating the health state of the equipment. According to the invention, through the Internet of Things sensing network, dynamic modeling, intelligent scheduling and full-life-cycle management technology, the effects of equipment state real-time monitoring, accurate maintenance, energy efficiency optimization and comprehensive asset management are realized.

The invention belongs to the technical field of positioning and navigation, and particularly relates to a line inspection method and system for unmanned aerial vehicle airborne power grid X-ray detection equipment. According to the method, a positioning unmanned aerial vehicle is used for determining a hovering point of a transportation unmanned aerial vehicle on a power transmission line, after the hovering point is sent to a positioning navigation unit, the positioning navigation unit carries out coordinate system unification and flight path planning, and the transportation unmanned aerial vehicle receives a flight instruction sent by the positioning navigation unit; carrying the power grid X-ray detection equipment to fly to a hovering point according to the path planning of the positioning navigation unit; and releasing the power grid X-ray detection equipment, analyzing the acquired X-ray image by the power grid X-ray detection equipment, and transporting the unmanned aerial vehicle recovery equipment after the acquisition task is completed. According to the invention, the difficulty in releasing and recovering the power grid X-ray detection equipment can be reduced, and the detection efficiency is improved.

The invention discloses a method for determining the purity of electronic-grade hexafluoroethane, and relates to the technical field of the purity of hexafluoroethane, and the method comprises the following steps: vacuumizing a specific sampling container to 10 <-3 > Pa to 10 <-2 > Pa, forming a super-hydrophobic coating on the inner wall, sampling in a temperature-controlled, humidity-controlled and pressure-controlled environment, and removing water and impurities through two-stage pretreatment; enhancing analysis by using a gas chromatograph, a specific carrier gas, a column temperature program, a micro-fluidic chip and an ion mobility spectrometry; then secondary scanning analysis is carried out by using a mass spectrometer double ion source and a calibration system; and finally, learning and matching an algorithm through a data processing system machine. Samples can be accurately collected and pretreated, gas chromatography and mass spectrometry analysis is more accurate and efficient, a data processing system can accurately determine impurities and purity, multiple measurement data can be counted and analyzed, the result reliability is improved, all parts of the system are optimized and matched, the accuracy and stability of the whole process are guaranteed, and the purity is calculated; the method further comprises statistical analysis of multiple measurement data.

The invention discloses a method for dynamically correcting off-axis aberration of a liquid mirror telescope, which comprises the following steps of: S1, adjusting a secondary mirror body to perform dynamic full-angle circular motion around the center of a primary mirror by using a secondary mirror rotating system, so that the secondary mirror body acquires an incident beam from any direction; s2, acquiring attitude information of the secondary mirror body, and adjusting the secondary mirror body according to the dynamically changeable off-axis angle based on a preset secondary mirror pose adjustment sub-method to compensate for low-order aberration; s3, the light beams of the distorted wavefront compensated by the secondary mirror are adjusted to be emitted in a determined direction in parallel and enter an adjustable beam expanding and shrinking mirror through two groups of plane reflection systems; s4, the light beam with the light spot size adjusted through the adjustable beam expanding and shrinking mirror is reflected to the magnetic liquid deformable mirror through the reflecting mirror; and S5, the magnetic liquid deformable mirror receives the reflected light beam and performs residual aberration correction. According to the method, the observation view field of the liquid mirror telescope can be effectively improved, the imaging quality is improved, and an aberration correction system is endowed with excellent flexibility and wide adaptability.

The invention discloses a spoken English man-machine conversation interaction training method and system, and relates to the technical field of spoken English training, spoken English audio signals of a user are monitored in real time through a microphone, and the frequency spectrum information of the audio signals is refined into each frame of spectrogram and cepstrum coefficient feature vectors by using Fourier transform and feature extraction technologies; therefore, the voice signal characteristics of the user can be completely captured; three core dimensions of semantic similarity, grammatical structure similarity and fluency are incorporated into an evaluation model, a comprehensive oral English training evaluation system is formed, a text sequence is generated by analyzing a time sequence dependency relationship through a convolutional neural network, and the oral English training evaluation model of a deep learning technology is combined, so that the oral English training evaluation accuracy is improved. According to the method, the expressions of the user in the aspects of semantics, grammar and fluency can be accurately measured, the oral training level of the user can be comprehensively judged by the system by comparing the comprehensive evaluation coefficient with the preset qualified threshold value, and a personalized learning guide is provided according to a result.

The invention relates to the technical field of laser engraving, and discloses copper-plated steel roller surface embossing laser engraving equipment and an embossing plate roller manufacturing method.The copper-plated steel roller surface embossing laser engraving equipment comprises a bottom plate. The carving machine comprises a bottom plate, a plurality of fixing frames arranged on the side wall of the bottom plate, supporting plates arranged on the two corresponding fixing frames and carving units arranged on the supporting plates, and each carving unit comprises a cleaning component and a carving component which are arranged between the two supporting plates; by arranging the cleaning component, the rotating air outlet ring can directly act auxiliary air on welding slag in a carving area in a spiral flowing mode, the welding slag is better blown out of the carving area, the blown welding slag is collected in the collecting box through mutual cooperation with the collecting assembly, the blown welding slag is prevented from falling into the carving area again, and the carving efficiency is improved. And the engraving precision and the production quality are effectively improved.

The invention discloses a floating deburring tool and a part deburring method.The deburring tool comprises a rod handle, a connecting sleeve, a tool bar, a nut, a clamping sleeve, a tool bit and an adjusting mechanism, the rod handle and the tool bar are connected through the connecting sleeve, the clamping sleeve is clamped to the upper middle end of the tool bit, and the clamping sleeve is fixedly connected to the tool bar through the nut; the upper end of the tool bit sequentially penetrates through the nut and the tool bar and is connected with an adjusting mechanism arranged in the connecting sleeve, and the adjusting mechanism can drive the tool bit penetrating through the tool bar to achieve radial and axial floating along the central axis of the connecting sleeve. By the adoption of the deburring tool and the part deburring method, the burr and flash grinding treatment requirements of different parts can be met, the deburring tool is simple in structure and convenient to assemble and disassemble, and products obtained through deburring are good in consistency, high in efficiency, stable in product machining, high in reliability and suitable for application and popularization.

The invention belongs to the technical field of material preparation, and aims to solve the problem that the comprehensive performance of a material is affected by non-uniform microstructure of the material due to the fact that the distribution and grain size of each phase in a metal ceramic matrix are difficult to accurately control in the conventional preparation process of the metal ceramic material. Therefore, the invention provides the preparation method of the fiber-reinforced metal ceramic material, and the preparation method comprises the following steps: pretreating silicon carbide fibers; mixing and grinding the titanium metal powder and the silicon carbide ceramic powder according to a preset proportion; adding silicon carbide fiber particles and putting the mixture into an ultrasonic mixer; adding a dispersing agent and a binding agent and mixing again; sequentially carrying out cold isostatic pressing molding and hot pressing molding on the mixture; and sequentially carrying out pre-sintering, high-temperature sintering, cutting and surface treatment on the obtained green body. The strength, toughness, hardness, high temperature resistance, wear resistance and corrosion resistance of the prepared metal ceramic material are remarkably improved, the high-performance requirement of the aviation field can be better met, and powerful support is provided for the aviation industry.

The invention relates to a deep learning-based workpiece processing path feature identification method for a numerical control system. According to the method, a G code generated by a numerical control machine tool is analyzed and processed to obtain features of a tool path when a workpiece is machined. Particularly, the method not only performs basic data preprocessing and cleaning, but also performs deeper analysis by establishing cutter path characteristic indexes such as path length, angle, curvature and the like. The data classified through the feature indexes are used as input of a deep learning algorithm, and efficient recognition of the tool path features is further achieved. According to the numerical control machining tool path feature recognition method provided by the invention, the efficiency and the accuracy of feature recognition are improved, the perception capability of a complex machining path is further enhanced through application of a deep learning algorithm, and support is provided for intelligent recognition of the machining path of a numerical control system.

The invention discloses a welding quality on-line detection method based on a laser welding machine, and relates to the technical field of welding process quality detection.The welding quality on-line detection method comprises the steps that a welding seam image in the welding process of the laser welding machine is collected, the welding seam image is converted into a gray level image, and binarization processing is conducted on the gray level image; performing morphological processing on the binarized image, eliminating noisy points in the image through opening operation and closing operation, and extracting edge contour features of the weld seam; detecting a straight line segment in the weld edge contour features, and calculating geometric parameters of the straight line segment; and analyzing the geometric parameters by adopting a quality scoring model to generate a weld quality score value. Through improved image processing, an efficient and accurate solution is provided for weld joint quality evaluation in the laser welding process, the accuracy of weld joint quality detection is improved, the real-time performance and the intelligent level of the evaluation process are optimized, and the method has wide application prospects.

The invention relates to the technical field of mold ejection, and discloses a using method of a mold stripping ejection structure for a plastic forming mold, the mold stripping ejection structure comprises a fixed base, the two sides of the top of the fixed base are fixedly connected with fixed baffles correspondingly, the tops of the fixed baffles are fixedly connected with a first connecting frame, and the top of the first connecting frame is movably connected with a second connecting frame; the top of the second connecting frame is movably connected with a third connecting frame, when a mold is manufactured, an inverted buckle structure opposite to the mold opening direction is avoided as much as possible, and if the inverted buckle structure cannot be avoided, other design modes such as changing an inverted buckle into a slope structure can be considered, so that demolding can be smoothly performed during mold opening, and a simple product shape is designed; according to the invention, complex curved surfaces and corners are reduced, so that the mold manufacturing difficulty can be reduced, zero-degree mold stripping can be realized, a proper parting surface position can be selected, products can be smoothly separated during mold opening, the parting surface is selected at the maximum outline of the products as much as possible, and complex parting surface shapes are avoided.

The invention relates to the technical field of drainage pipe network flow measurement, and discloses a drainage pipe network Doppler flow measurement method coupled with multiple physical fields, which comprises the following steps: acquiring fluid flow data of a drainage pipe network, and performing Doppler frequency shift analysis on the fluid flow data of the drainage pipe network to obtain a data analysis result, a multi-physical field model is established based on the data analysis result, the multi-physical field model is obtained based on coupling of a sound field, a flow field and a temperature field, and drainage pipe network flow measurement is conducted based on the multi-physical field model. Accurate measurement of the flow in the non-full pipe flow state is achieved through Doppler frequency shift analysis, meanwhile, coupling effects of multiple physical fields such as acoustics, fluid mechanics and thermodynamics are comprehensively considered, multi-physical-field coupling analysis is conducted, and high-precision measurement of the fluid flow in a drainage pipe network is achieved.

The invention discloses a calibration method of a polarization focal plane imaging system and an imaging system, relates to the field of photoelectric imaging and remote sensing detection imaging, and solves the problems of low correction efficiency and difficulty in correcting a system with a changed polarization state in the conventional polarization error correction technology. According to the calibration method, a plurality of coding patterns and corresponding polarization modulation matrixes are obtained based on the collected uniform light field and serve as calibration results. The polarization error correction method comprises the steps of obtaining an observation intensity vector based on a target scene; a corresponding polarization modulation matrix is obtained based on the coding pattern according to a coding polarization modulation matrix lookup table, and then a down-sampling Stokes vector after polarization error correction is obtained; and completing the correction of the polarization error through an imaging reconstruction method. A polarization focal plane imaging system comprises an imaging lens, a DMD digital micromirror array coding module, a focal plane DoFP polarization detector and an imaging reconstruction module. The method is suitable for the fields of remote sensing detection, target identification, environment monitoring and the like.

The invention discloses a machine vision unit applied to a smart community intelligent security management system, and relates to the technical field of image processing, and the machine vision unit comprises an image obtaining module which obtains a real-time video stream monitored at night, and carries out the frame cutting to obtain a plurality of frames of images; the multi-frame image fusion module is used for processing the multi-frame image by using a multi-exposure fusion algorithm to generate a fused image; the self-adaptive correction module is used for self-adaptively adjusting the brightness and the contrast ratio of the fused image and carrying out detail enhancement and color correction; the image processing module is used for removing noise and enhancing details through bilateral filtering and a multi-scale Retinex algorithm; and the image post-processing module is used for performing color balance adjustment to ensure that the images are natural and consistent. Through multi-frame image fusion, adaptive correction, multi-scale detail enhancement and color balance processing, the definition, detail expression and recognition precision of the image in a night monitoring scene are remarkably improved, the adaptability and robustness of the system are enhanced, and meanwhile redundant information and resource consumption in the processing process are reduced.

The utility model relates to a nickel sheet laser welding pressure head mechanism, and relates to the technical field of laser welding. The device comprises a rack, a lifting plate and a galvanometer, a lifting assembly is arranged on the rack and connected with the lifting plate so as to drive the lifting plate to be adjusted, the galvanometer is connected to the surface of the lifting plate, a mounting frame is arranged below the lifting plate, and a laser pressing head is arranged at the end, away from the lifting plate, of the mounting plate. The mounting frame is provided with a buffer assembly, the laser pressure head is slidably connected to the mounting frame through the buffer assembly, the lifting plate is further provided with a camera, and the mounting frame is provided with a detection module used for detecting the distance between the nickel sheet and the galvanometer. The nickel plate welding device has the effects that the pressing force on the nickel plate in the welding process is improved, and the welding precision, the welding quality and the welding speed between the nickel plate and the battery aluminum bar are improved.

The invention discloses a distribution network line peak load prediction method and system based on a combined model, and relates to the technical field of power grids, and the method comprises the steps: collecting distribution network line data, extracting high-correlation input features, and carrying out the overall prediction of a load rate through a support vector machine; the peak load rate and the peak load rate occurrence time form a data set, independent prediction is carried out through a combined prediction model, and a prediction result of the support vector machine is corrected; and judging an early warning level according to the distribution network line load rate, and sending distribution network line weight and overload early warning information. According to the distribution network line peak load prediction method based on the combined model, the correlation analysis method is adopted to extract high-correlation input features, the model input quality and prediction precision are improved, the distribution network line weight and overload conditions are monitored and early warned in real time, the safety and reliability of power grid operation are improved, and the method is suitable for large-scale popularization and application. The method has better effects in the aspects of accuracy, safety and reliability.

The invention provides a personnel and equipment safety detection system and method based on an infrared thermal imaging technology. The system comprises an infrared imaging sensor, an environment monitoring and predicting assembly and a data processor, and the infrared imaging sensor and the environment monitoring and predicting assembly are connected with the data processor. The infrared imaging sensor is used for monitoring the environment temperature of the monitoring area; the environment monitoring and predicting assembly is used for collecting environment data of the monitoring area, the environment data at least comprises environment temperature, predicting environment change of the monitoring area according to the environment data to obtain environment prediction information of the monitoring area, and determining target system parameters of the infrared imaging sensor according to the environment prediction information; and the data processor is used for adjusting the infrared imaging sensor according to the target system parameters of the infrared imaging sensor. The system parameters of the infrared imaging sensor can be adjusted based on the actual environment condition, and the quality and the temperature detection precision are improved.

The invention discloses a power system risk assessment method and system based on a cross entropy convolutional neural network, and the method comprises the steps: carrying out the sampling of the states of a generator set and a power transmission line through employing a forced outage rate vk, and combining the element state obtained through sampling with a system load level, so as to obtain a system state Si; according to the current system state Si, obtaining a possible load reduction amount LCi; a risk indicator function and a likelihood ratio are calculated, the forced outage rate vk + 1 is updated and corrected, a fault sample in cross entropy iteration is obtained, and k is the number of iterations; and for the current system state Si and the possible load reduction quantity LCi, constructing input and corresponding labels of neural network training data by using the operation parameter matrix. By introducing a data construction algorithm based on a cross entropy technology, system states which are crucial to risk indexes are automatically identified and preferentially processed, and the proportion of effective samples in a training data set is improved, so that the training quality and prediction precision of the model are remarkably improved.

The invention creatively provides a manual control field imaging technology based on a unified field theory, the technology integrates theories, principles, circuit design, an electromagnetic field generator and an imaging system into a whole, and the cross-field wide application potential is shown. The electromagnetic field generator serves as a core, is not limited to a scanning detection function, and can be further expanded to the frontier fields such as quantum communication, medical diagnosis, spaceflight detection, chemical analysis, building monitoring and virtualization technologies, and maximization of technical values is achieved. According to the technology, the traditional electromagnetic theory is deeply expanded and innovated, the breakthrough of the imaging technology is realized through precise circuit design and efficient electromagnetic field regulation and control, and the high definition and accuracy of imaging are ensured. As the technology is continuously mature and widely popularized, scientific and technological progress and industrial upgrading of the human society are greatly promoted, and more efficient and more intelligent development opportunities are brought to various fields, so that benefits are brought to the public in the world, and a new chapter of scientific and technological development is opened.

The invention relates to the technical field of optical part machining, and provides a cylindrical part machining method which comprises the steps that the outer circle face of a blank piece is wound and bonded to a square brick, the square brick is wound to a glass disc, wax sealing and wax filling are sequentially conducted on the blank piece, grinding and polishing are conducted, a first end face is flattened to a first parameter threshold value, and the side perpendicularity of the blank piece is trimmed. Controlling the side perpendicularity to be smaller than a first side perpendicularity preset value, and discharging to obtain a first part; the first part is bonded and fixed in the through cavity of the mold, the first end face is exposed out of the first port, one side of a second port of the mold is bonded and fixed to the glass disc, the first end face is frosted and polished to be convex or concave, and a second part is obtained; and the second end face of the second part is milled to be in a taper angle shape, and the cylindrical surface part is obtained. Before the shapes of the two ends of the cylindrical surface part are machined, the side perpendicularity of the cylindrical surface part is corrected, it is guaranteed that the cylindrical surface part has high-precision side perpendicularity precision and center deviation during subsequent concave-convex surface and taper angle machining, the machining process is simple and convenient, and precision is high.

The utility model relates to the technical field of clamps, in particular to a centrally-mounted motor shell tool clamp which comprises a base and a plurality of fixing columns used for bearing half shells, the fixing columns are perpendicularly arranged on the base, the end faces, away from the base, of the fixing columns abut against mounting holes of the half shells, and the fixing columns are arranged on the base. The base is further provided with a pressing assembly used for pressing the edges of the half shells from top to bottom. The semi-shell grinding device has the effects of improving the stability of the semi-shell grinding process and improving the assembly precision of the middle motor shell.

The application discloses a kind of nnUNet zebra fish juvenile whole brain vascular system segmentation methods based on autonomous data set training, it is related to high-resolution imaging technology, image processing and medical image segmentation field, the method makes full use of zebra fish live transparency and fluorescent label advantage, obtains high-resolution whole brain three-dimensional vascular image data, and constructs high-quality segmentation truth value database by semi-automatic segmentation and artificial correction, training is carried out using nnU-Net deep learning model, realize the three-dimensional automatic segmentation of zebra fish brain vascular system signal.The application method significantly improves the degree of automation and precision of image segmentation, effectively solves the problems of low efficiency, high artificial dependence and poor repeatability of traditional brain vascular segmentation.The method is suitable for large-scale high-throughput data processing, can provide efficient, standardized image processing scheme for zebra fish brain vascular development mechanism and brain vascular disease model research, and has wide application prospect.

The utility model relates to non-contact pipe scanning equipment which comprises an immersion tank, a turnover mechanism, a clamping and rotating mechanism, a scanning mechanism and an auxiliary material receiving frame, the turnover mechanism is arranged above the immersion tank, and the clamping and rotating mechanism is mounted on the turnover mechanism; the scanning mechanism is arranged on the front side of the turnover mechanism; the auxiliary material receiving frame is movably arranged on the rear side of the turnover mechanism; the auxiliary material receiving frame comprises a support and a bracket, and the bracket is movably arranged on the support. The auxiliary material receiving frame is used for transferring the pipes, and feeding is easy and convenient; the pipe is immersed in the liquid medium of the immersion tank when the clamping and rotating mechanism is driven by the overturning mechanism to overturn forwards, in the scanning and detecting process, the pipe is driven by the clamping and rotating mechanism to rotate around the axis of the pipe, non-contact scanning and detecting operation is carried out, the probe does not make contact with the pipe in the scanning and detecting process, and the scanning and detecting efficiency is improved. And a liquid medium in the immersion tank is used as a sound wave propagation medium of the probe, so that the detection quality and the detection precision of the pipe are improved.

The invention provides an electrode impedance test system for physical therapy. The electrode impedance test system comprises a microcontroller, a D / A conversion circuit, a power amplification circuit, a voltage detection circuit, a current detection circuit and a boosting transformer circuit. The microcontroller generates a square wave signal, the square wave signal is converted into a sinusoidal signal through the D / A conversion circuit, and the sinusoidal signal is amplified through the power amplification circuit. The boosting transformer transmits the amplified sinusoidal signal to the electrode slice, and the secondary side of the boosting transformer is connected with the voltage and current sampling circuit and is used for collecting a differential signal. According to the system, the electrode impedance of the electrode plates is detected through voltage and current sampling of the pair of electrode plates, common-mode interference and signal distortion are eliminated through the differential signal amplification circuit and the full-wave precision rectification circuit, and high-precision acquisition and detection of signals are ensured. The detected and rectified signals are converted into digital signals through the A / D conversion circuit, and the digital signals are input into the signal input end of the microcontroller.

The invention discloses a camera exposure time control method under high-dynamic background light intensity change, and aims to solve the problem of camera overexposure caused by environment light intensity change in optical measurement. The method comprises the following steps: building a test system, and setting a camera frame rate; setting initial exposure time, and shooting an image of the measured object to obtain an optimal gray scale; adjusting parameters of the signal processing circuit; and starting the to-be-tested equipment, and obtaining the exposure time when the ambient light intensity rapidly changes. According to the invention, an open-loop control method is applied, the ambient light intensity is captured in real time through the photodiode, and the ambient light intensity is converted into the camera exposure time inversely proportional to the ambient light intensity through the signal processing circuit, so that rapid adjustment of the camera exposure time is realized. Compared with a fixed exposure time measuring method and a traditional method based on an image gray value, the method has the advantages of being high in response speed, small in calculation burden, real-time in feedback and the like, and is particularly suitable for an application scene where the light intensity changes rapidly in a high-temperature environment.

The invention provides a processing method of an optical piece with a light reflection inner cavity. The processing method comprises the following steps: obtaining a first film coating piece and a second film coating piece through processing; two plates with the same datum plane are obtained through same-disc machining, the datum plane is used for positioning, and the two plates are machined to obtain a third film-coated part and a fourth film-coated part; an assembly tool is provided, the first film coating piece and the third film coating piece are positioned through the assembly tool, and the bottom face of the third film coating piece is fixed to the surface where the first film coating face of the first film coating piece is located; and positioning the second film coating piece through the assembly tool, and bonding the surface of the second film coating surface of the second film coating piece to the third film coating piece and the fourth film coating piece. The problem that in the prior art, machining of optical parts is difficult to meet the high-standard quality requirement is solved.

The invention discloses a flange cylinder piece pre-forging and finish-forging integrated die and a forming method, and belongs to the technical field of die forging forming. The die comprises a press rod, a side male die, an upper die body, a lower die body, a lower die core and a push rod; the side male die and the lower die are respectively positioned on the upper and lower surfaces of the upper die; the top of the side male die is provided with a first through hole, and the bottom is provided with a second through hole. The press rod can vertically pass through the first through hole and the second through hole; the push rod is slidably connected to the end face, away from the upper mold, of the lower mold and connected with the lower mold core so that the lower mold core can move in a lower mold cavity of the lower mold, an upper mold cavity of the upper mold and the second through hole. During pre-forging, both the lower mold core and the press rod forge and press the initial blank, so that the initial blank forms a finish-forged blank; after the side male die is opened, the lower die core and the press rod drive a finish forging blank to move downwards; according to the method, the production process can be simplified and the production period can be shortened on the basis of ensuring the size precision and the forming quality of forging forming.

The invention relates to a sliding mechanism and a 3D printer, and the sliding mechanism comprises a sliding rail which extends along a first direction; the sliding frame assembly comprises a sliding block, a first pulley and a second pulley, the first pulley and the second pulley are rotatably connected to the sliding block, the sliding block is slidably connected into the sliding rail, and the first pulley, the sliding rail and the second pulley abut against the sliding rail in a sliding mode; wherein the slider is configured to receive a driving force from the outside of the sliding mechanism; when the sliding block receives driving force, the first pulley and the second pulley slide along with the sliding block relative to the sliding rail in the first direction. The problems that a model formed through printing is obvious in layer grain and poor in surface glossiness and the problem that model printing fails are solved, and the product quality and the printing precision are improved.

The invention discloses a double-end roller welding device, which relates to the technical field of welding and comprises a base, a guide groove I, a movable seat I, a spline shaft I, an adjustable clamping mechanism II, a spline shaft II, a screw rod II, a movable seat II, a welding gun fixing frame and the like. A first screw and a second screw are driven by a first motor, the distance between roller clamping mechanisms can be easily adjusted according to the length of a roller by means of ingenious cooperation of a movable seat and a guide groove, rollers of different sizes can be accurately matched, a stable foundation is provided for subsequent welding, and the universality and practicability of equipment are greatly improved; the adjustable clamping mechanism is ingenious in design, the third motor drives related parts to be in linkage, the self-centering chuck efficiently and stably clamps the welding pieces, the symmetrical structure of the adjustable clamping mechanism ensures clamping consistency and reliability of the welding pieces at the two ends of the double-end roller, welding errors caused by uneven clamping are effectively reduced, and the welding quality and the product precision are improved.

The utility model discloses a stainless steel pot trimming equipment, including machine table, rotation device, hold-down gear and cutting device, rotation device includes first frame, driving spindle, driven spindle and first drive mechanism, first frame is fixed connection on machine table, driving spindle is horizontally arranged and rotatablely connected on first frame, driven spindle is fixed on first drive mechanism. One end of the driving rotating shaft is fixedly connected with a first flange plate, the first driving mechanism is connected with the other end of the driving rotating shaft and can drive the driving rotating shaft to rotate, and the driven rotating shafts are used for sleeving stainless steel kettles and have different specifications; the first flange plate and the second flange plate are detachably and fixedly connected through bolts; the pressing device is used for pressing the stainless steel kettle onto the driven rotating shaft; the cutting device is used for cutting stainless steel kettles. The embodiment of the utility model can quickly adapt to the machining requirements of workpieces with different sizes.