1799results about "Automatic control devices" patented technology

An edge guide is provided. A structure includes curved surface over which a print media can travel. The print media includes a first edge and a second edge that is opposite the first edge. A first media guide is contactable with the first edge of the print media. A second media guide is contactable with the second edge of the print media. The second media guide is spaced apart from the first media guide. A relative spacing between the second media guide and the first media guide is adjustable such that a distance between the first media guide and the second media guide is variable. The second media guide includes a mechanism that applies a nesting force to the second edge of the print media to cause the first edge of the print media to move toward and contact the first media guide.

The invention discloses a control method and equipment suitable for a rotary turn-over clamp of a numerical control milling center, and relates to the technical field of numerical control machining. The clamping force is optimized through the multi-source sensing and digital twinning technology, and workpiece deformation is prevented; thermal compensation and an error transfer chain model are integrated, the turnover angle is accurately corrected, and error accumulation is restrained; real-time comparison, traceability and self-adaptive adjustment in the machining process are achieved through digital twin pre-verification and multi-sensor closed-loop monitoring; the problems of out-of-tolerance of precision and batch consistency caused by unstable clamping, thermal deformation and error transmission in multi-surface milling of high-precision parts are solved, and the precision, reliability and process adaptability of complex part machining are remarkably improved.

The invention provides a machine tool machining parameter adjustment method and system, relates to the technical field of machine tool machining parameter adjustment, and aims to infer local acoustic impedance of a workpiece material in real time by emitting sound waves and receiving echo signals on the workpiece material in front of cutting of a cutter and extracting acoustic features. And when the local acoustic impedance is continuously higher than a preset normal reference value and exceeds a preset threshold value, determining that a local abnormal region exists, and generating an early warning signal. And before the tool makes contact with the local abnormal area, the machining parameters are adjusted in advance according to the early warning signal. And real-time feedback signals in the cutting process are continuously monitored, and the machining parameters are further adjusted based on the real-time feedback signals and the early warning signals. The problems that in the prior art, due to uneven local hardness of a workpiece material, a tool is unexpected to be abraded, and machining size deviation is accumulated can be effectively solved.

The invention discloses a machine vision-based numerical control machine tool cutter wear identification method and system, and relates to the technical field of machine vision. A numerical control machine tool cutter two-dimensional image sequence is collected, high-precision point clouds are obtained through three-dimensional reconstruction and calibration, and high-precision cutter reference three-dimensional point clouds are obtained; constructing a functional region division rule, segmenting the high-precision tool reference three-dimensional point cloud to obtain a tool functional region, and generating tool region structured reference data through geometric shape quantitative description algorithm analysis; collecting regional structured data of the cutter in different machining periods, and obtaining a shape evolution track of the cutter through space-time registration; constructing a tool wear recognition model based on the time sequence convolutional network, inputting a tool morphology evolution trajectory, and outputting a tool wear type; and collecting tool historical case data to construct a wear mechanism knowledge base, performing matching mapping on a tool wear type and the knowledge base, and generating a tool wear identification result. And based on the wear identification result, realizing the identification of the wear of the numerical control machine tool cutter.

The invention discloses an integrated machining device suitable for a large marine propeller, which comprises a machining adjusting assembly, the machining adjusting assembly is composed of an X-axis moving mechanism, a Y-axis moving mechanism and a Z-axis moving mechanism, one side of the Z-axis moving mechanism is fixedly provided with a rotating mechanism, one end of the rotating mechanism is fixedly connected with a cutting assembly, and the other end of the rotating mechanism is fixedly connected with a cutter; according to the large marine propeller integrated machining device with the automatic machining function and the self-adaptive clamping function, through the integrated multi-axis linkage machining adjusting assembly and the three-dimensional scanner, automatic path planning can be conducted, and automatic operation is achieved; therefore, the dependence on advanced technicians is greatly reduced, the machining efficiency and the product consistency are remarkably improved, and meanwhile, through the collaborative design of the rotatable three-jaw chuck and the center supporting mechanism, simultaneous reliable supporting from the interior and the exterior of the workpiece can be automatically achieved during clamping.

The invention provides a workpiece machining path compensation method and system based on multi-vision cooperative localization, and relates to the technical field of workpiece machining.The method comprises the steps that a compensation reference coordinate system of a workpiece machining path is established; determining a theoretical machining path of the workpiece according to the CAD model and the process planning of the workpiece, and mapping the theoretical machining path to the compensation reference coordinate system; performing global coarse compensation on the theoretical processing path to generate a global compensation amount and a global compensation path; performing local compensation on the global compensation path according to the local point cloud to obtain a local compensation amount and a local compensation path; according to the cutting parameters of the workpiece, the local compensation path is subjected to flexibility compensation, and the flexibility compensation amount is obtained; under the compensation reference coordinate system, compensation quantity fusion is carried out on the global compensation quantity, the local compensation quantity and the flexibility compensation quantity, and a final compensation path is generated; and executing the final compensation path. According to the method, the execution precision and stability of the machining path and the adaptability to complex machining working conditions are remarkably improved.

A quality prediction and adaptive compensation method and apparatus for curved surface assembly are provided. The method includes: inputting a geometric error function and a thermal error function into a spatial error model, to obtain a machining error prediction model; superimposing obtained machining errors on a theoretical surface of an assembly surface, to obtain a predicted machining surface; calculating, according to an assembly median plane determined based on the assembly surface, shape errors and assembly gap errors, and predicting curved surface assembly quality of a part by using the shape errors and the assembly gap errors; calculating an adaptive compensation amount of each assembly plane of the assembly surface based on the shape errors, the assembly gap errors, and the machining errors, when the curved surface assembly quality does not meet a preset assembly quality requirement, and compensating the corresponding assembly plane by using the adaptive compensation amount.

The invention provides a machining cutter feeding speed control method and system.The method comprises the steps that a three-dimensional stress field, a temperature field and cutter micro-vibration characteristics of a cutter cutting area are collected through a preset sensor array, and real-time plastic deformation parameters of a workpiece material and machine tool spindle power fluctuation data are combined; forming a corresponding processing state sensing matrix; obtaining a machining constraint condition of the tool, and optimizing the initial particle swarm algorithm through the machining state sensing matrix and the constraint condition to generate a corresponding target particle swarm algorithm; a speed reference curve matched with the cutter is generated in real time through a target particle swarm algorithm, and cutting noise spectrum features are collected through a high-frequency sonic sensor; and performing conversion processing on the speed reference curve and the cutting noise spectrum characteristics to generate a feeding speed matched with the cutter in real time. The feeding speed can be accurately controlled, and the production efficiency is correspondingly improved.

The invention relates to the technical field of image recognition, in particular to a shearing behavior dynamic correction method and system based on wear state recognition. Acquiring a digital image sequence of the cutting edge area; constructing an image feature separation network, and performing parallel feature extraction on the preprocessed digital image sequence; identifying a pixel-level high-frequency texture discontinuous region and an edge gradient direction field by utilizing continuity characteristics of a cutting edge surface periodic texture mode to obtain a target defect probability graph; identifying a projection shadow area and a low-frequency illumination halation of the edge of the bulge by using a backlighting imaging model to obtain an interference artifact probability graph; establishing spatial mutual exclusion constraints of the target defect probability graph and the interference artifact probability graph in a pixel space, and generating a defect binary mask; performing multi-dimensional texture feature calculation on an area corresponding to the defect binary mask, and constructing a surface state feature vector; according to the invention, based on the surface state feature vector, the defect mode category is discriminated, and the corresponding shearing correction parameter is generated.

The invention relates to the technical field of turning machining, and discloses an ultra-precision turning machining control method and system and a storage medium. The method comprises the steps that a laser contourgraph detects geometric parameters and abrasion data of a turning tool, and a tool health degree index is calculated; performing error compensation based on the health degree index to obtain a feeding control parameter; cutting force signals are collected, and technological parameters are optimized through a multi-target genetic algorithm; arranging a temperature sensor array, and adjusting cooling control according to process parameters; and generating a track control point and performing interpolation processing to obtain a motion control sequence. According to the method, the problem that the machining precision is unstable due to the fact that the cutter state cannot be quantitatively evaluated in real time in traditional turning is solved, and the precision control capability and machining quality consistency of ultra-precision turning are improved.

The invention discloses a horizontal lathe for finish machining of a workpiece, and relates to the field of lathes, the horizontal lathe comprises a lathe body, a spindle box, chucks, a tool rest, a second electric push rod, a cooling chip removal assembly and an annular workpiece, the number of the chucks is two, the chucks are installed on the left side and the right side of the interior of the lathe body respectively, and the chuck on the left side is fixedly connected with an output shaft of the spindle box; the spindle box is fixedly installed on the left side of the inner wall of the lathe bed. Through cooperation of the annular workpiece, the chuck, the chuck jaws, the adjusting assembly and the driving motor, the chuck jaw adjusting effect in three directions is achieved through the arrangement of the adjusting assembly, the chuck adopts a three-jaw self-centering mode, the chuck rapidly and firmly clamps the annular workpiece, the chuck jaws are subjected to precise grinding, and the machining precision is improved. The clamping face is attached to the outer circle or the inner hole of the circular-ring-shaped workpiece, the chuck jaw is used for meeting the requirements of different circular-ring-shaped workpieces, automatic alignment and clamping are achieved, manual alignment errors are reduced, the coaxiality of the clamped circular-ring-shaped workpieces is guaranteed, and the clamping device is a core part for positioning and machining the circular-ring-shaped workpieces.

The invention discloses a pole piece slitting method, device and equipment and a storage medium, and relates to the technical field of batteries, and the pole piece slitting method comprises the steps that a first signal of the displacement of a slitting assembly in the pole piece slitting equipment in the axial direction of the slitting assembly changing along with the collection moment is obtained, and the axial direction is perpendicular to the pole piece slitting direction of the slitting assembly; based on the first signal, the current state of the slitting assembly is determined; and based on the current state of the slitting assembly, the pole piece slitting equipment is controlled. According to the invention, the first signal that the displacement of the slitting assembly in the axial direction in the pole piece slitting equipment changes along with the collection time can be obtained online in real time, and the current state of the slitting assembly is determined through the signal, so that the pole piece slitting equipment is controlled to be matched with the current state; and the condition that unqualified pole pieces cut by the pole piece cutting equipment flow into the next process can be effectively reduced, so that the performance and the service life of the finally produced battery are 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 an automatic calibration method and system for a cutting knife needle, a cutting machine and a storage medium. The method comprises the steps that a cutting knife needle is controlled to execute a gradient retraction cutting sequence, and the extension length of the knife needle retracts by a preset gradient length after each time of cutting; collecting a trace image formed on the calibration material by cutting each time through a camera; automatically identifying the shallowest effective cutting trace in the sequence based on image analysis; and calculating the reference zero point of the tool nose according to the sequence number corresponding to the trace, the preset gradient length and the initial extension length. The calibration material has a high-contrast substrate layer and contrast layer structure. The invention further discloses a system for implementing the method, the cutting machine comprising corresponding hardware and a storage medium. According to the invention, full automation of the calibration process is realized, dependence on artificial experience is eliminated, and the method has the advantages of high calibration precision, high efficiency, good consistency and the like.

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.

A device for determining an approach of a tool to a workpiece in a machine tool with internal cooling supply includes a measuring arrangement, having a measuring graduation arranged in a rotationally fixed manner on a shaft and at least one position sensor arranged in a fixed manner relative to the shaft, and a data processor. The position sensor is adapted to scan the measuring graduation and to generate position values therefrom that indicate a position of the shaft. The position values are fed to the data processor, which, by evaluating a progression of the position values when the tool approaches the workpiece, determines that the tool is located in an approach area relative to the workpiece, and signals, by an approach signal, when the tool reaches an approach position relative to the workpiece, in which the tool is close to the workpiece without touching it.

The invention provides a device and method for adjusting and verifying the machining pose of a workpiece, and belongs to the technical field of machining. The device comprises a workpiece clamping module, a three-dimensional scanning module, a film pasting module, a laser marking module, an industrial camera module, a laser ranging module, a calculation solving module and a communication module; the calculation and solution module is connected with the scanning module, the industrial camera module and the laser ranging module, and the calculation and solution module is in communication connection with a numerical control system of a machine tool through the communication module; the method has the advantages that the precise self-adaptive adjustment of the workpiece pose and the verification of the machining path are realized, and the reliability of precision machining is improved.

The application discloses a kind of based on machine vision's numerical control machine tool tool wear identification method and system, it is related to machine vision technical field.Sequence of two-dimensional image of numerical control machine tool tool is collected, high-precision point cloud is obtained after three-dimensional reconstruction and calibration, and high-precision tool reference three-dimensional point cloud is obtained;Function area division rule is constructed, and tool function area is segmented according to high-precision tool reference three-dimensional point cloud, and tool area structured reference data is generated after geometric morphological quantitative description algorithm analysis;Area structured data of different processing periods of tool is collected, and tool appearance evolution trajectory is obtained after space-time registration;Tool wear identification model is constructed based on time series convolution network, tool appearance evolution trajectory is input, and tool wear type is output;Tool historical case data is collected to construct wear mechanism knowledge base, tool wear type is matched and mapped with knowledge base, and tool wear identification result is generated.Based on the wear identification result, the identification of numerical control machine tool tool wear is realized.

An automatic operation system in which automatic operation control can be selectively exercised on a plurality of previously registered machining centers from a remotely located terminal via a cloud server is provided. The machining center automatic operating system includes: a cloud-side control unit that is provided in a cloud server connected to a CNC device of each machining center via a communication line, generates a machining command for each machine tool at an automatic machining command generation unit, and transmits the machining command to a corresponding CNC device; and one or more terminals that transmit inputted three-dimensional CAD design data of an intended machined product to the cloud-side control unit via the communication line and display information transmitted from the cloud-side control unit on a display unit. The cloud-side control unit includes a cloud-side storage unit holding a registration list of all the machining centers to be driven and controlled, tool information and a learned model of each machine tool. The automatic machining command generation unit applies features extracted from three-dimensional CAD design data to a corresponding learned model together with tool information, thereby automatically sets machining conditions required for cutting operation for each feature and a manufacturing process including a tool trajectory based on the machining conditions, and generates a machining command corresponding to a series of all the manufacturing processes set by determining an execution procedure based on the learned model. And the automatic machining command generation unit is provided with a function of, before the tool information is applied to the learned model, referring to the latest tool information stored in a corresponding CNC device-side storage unit and updating the tool information.

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

The invention discloses a double-spindle horizontal machining center which comprises a base and an X-axis stand column, an X-axis linear module is arranged on the X-axis stand column, two sliding frames are arranged on a sliding block of the X-axis linear module, each sliding frame is provided with a Y-axis linear module arranged in the Y-axis direction, a box is arranged on a sliding block of each Y-axis linear module, a Z-axis linear module is arranged in each box, and a Z-axis linear module is arranged in each box. A main shaft is arranged at the displacement end of the Z-axis linear module; the device further comprises a W-axis linear module arranged on the base, and the displacement end of the W-axis linear module is connected with an A-axis rotary table which can rotate around the X axis and is used for clamping a workpiece. Movement of the W-axis linear module is used for adjusting the reference machining distance between the A-axis rotary table and the main shaft, and therefore the machining range of the whole machining center is expanded. The machining range and the application flexibility of the machine tool are effectively expanded, so that the machine tool can adapt to more diversified workpiece machining, meanwhile, the overall layout is optimized, and higher performance and space utilization rate are achieved.

The invention relates to the technical field of digital twinning, in particular to a steel and aluminum material trimming parameter optimization method and system based on digital twinning, and the method comprises the steps: obtaining the cumulative cutting work and regrinding times of a cutter, constructing a multi-dimensional wear state space to determine a life cycle stage, and generating a dynamic semantic mask; and the edge side extracts the fourth-order kurtosis and the third-order skewness of the vibration characteristic frequency band component by using a mask, and fuses production line data to generate a cutting semantic packet. And the cloud end predicts shear flow stress and thermal expansion displacement trend by using a thermal-mechanical coupling model, calculates theoretical clearance compensation parameters, performs dual security arbitration through an energy consumption prediction model and an energy envelope boundary, finally performs S-shaped speed planning on approved parameters, and calculates an advance and issues an instruction in combination with full-link lag. According to the method, dynamic control over the steel and aluminum material trimming parameters is achieved through space-time alignment compensation.

The invention belongs to the technical field of copper rod machining, and particularly discloses a copper rod machining device and a machining process thereof.The copper rod machining device comprises a base, two sets of workpiece supporting frames, a lifting frame, two sets of cutting machines and a transverse embracing mechanism, and the two sets of workpiece supporting frames are symmetrically installed on the upper surfaces of the two sides of the base; the two sets of workpiece supporting frames are correspondingly connected with sliding blocks through bidirectional driving pieces correspondingly arranged in the two sets of workpiece supporting frames, assembling rods are fixedly installed on the outer sides of the two sets of sliding blocks correspondingly, and a first guide frame and a second guide frame are arranged between the two assembling rods with the opposite end faces correspondingly. According to the copper rod cutting and polishing integrated machining device, copper rod cutting and polishing integrated machining is achieved, the cutting position is accurately controlled, end face burrs are effectively removed, the equipment investment and the operation cost are reduced, the machining efficiency is improved, and the machining quality is improved. And the machining efficiency and the yield are improved, and the production requirements of small and medium-sized copper material machining enterprises are met.

The invention discloses a blank scanning presetting method and a machining device, and belongs to the technical field of machine tool machining. The blank scanning presetting method comprises the following steps: S1, positioning a blank workpiece; s2, setting a target mark; s3, starting an optical three-dimensional laser scanning unit; s4, scanning the blank workpiece by a three-dimensional laser scanner to form original point cloud data; s5, the target identification camera converts the original point cloud data into initial space coordinates; s6, the processor fuses the initial space coordinates with the pose information of the three-dimensional laser scanner to form reference coordinate parameters; s7, the CNC numerical control system calculates a reference deviation value between the reference coordinate parameters and the theoretical reference information; S8, the machining allowance is ensured to be adaptive according to the reference deviation value; s9, a numerical control planer type milling machine machining unit conducts cutting machining on the blank workpiece; s10, carrying out secondary scanning on the key feature region, and confirming the machining precision; if yes, ending; and if not, repeating the steps S4 to S10. The device can adapt to different blank workpieces, and the flexibility and the production efficiency are improved.

The utility model discloses a quick positioning device for a center hole of a shaft blank, relates to the technical field of center hole positioning, and aims to solve the problem that the center hole of the forged shaft blank is difficult to quickly and accurately position. The quick positioning device comprises a lathe bed, and a supporting mechanism for supporting the blank is arranged on the lathe bed. A driving device used for driving the blank to rotate is arranged on the supporting mechanism, a positioning mechanism is further connected to the lathe bed in a sliding mode, and a line drawing mechanism and a punching mechanism are arranged on the positioning mechanism.

The invention discloses a numerical control machine tool operation fault intelligent diagnosis method based on cloud edge cooperation, particularly relates to the technical field of intelligent operation and maintenance of numerical control equipment, and is used for solving the problem that in a multi-machine-tool and multi-process continuous operation scene, an existing fault monitoring means lacks unified working condition division and structured feature expression, and the fault monitoring efficiency is poor. And edge side real-time risk identification and cloud centralized modeling cooperative closed-loop control are difficult to realize. Fragmentation division is carried out on the operation process of a machine tool at edge nodes based on working condition anchor points, multi-channel operation state quantities are collected in each fragment to construct working condition fingerprints containing fast features and morphological features, and threshold judgment and hierarchical control are carried out in combination with a working condition template library. Therefore, unified fault and sub-health modeling and fine identification are realized under the conditions of multiple machine tools and multiple processes, risk working conditions are intervened online in advance, and the problems of misjudgment, missed judgment and protection lag caused by dependence on single monitoring quantity and empirical threshold values are reduced.

The invention belongs to the technical field of mechanical engineering and intelligent manufacturing, and discloses a high-precision gear hobbing quality online detection and control system and method. The system comprises a gear hobbing regulation and control module used for driving a hobbing cutter and a workpiece to perform repeated cutting; the multi-light-source visual acquisition module is used for adjusting the position of a multi-light-source visual acquisition probe and acquiring a multi-modal image in a precise gear machining process in real time; the image processing module is used for processing the multi-modal image to generate a multi-scale feature vector; the quality prediction module is used for processing the multi-scale feature vector to generate a geometric precision prediction value and a surface roughness prediction value; and the self-adaptive control module is used for dynamically adjusting the machining parameters of the hob motion control system and the workpiece rotation control system according to the geometric precision predicted value and the surface roughness predicted value, and triggering rejection processing when the geometric precision predicted value exceeds a preset tolerance range or the surface roughness predicted value exceeds a preset threshold value.

The invention provides a machine tool and a workpiece machining method, the machine tool includes: a workpiece support device having a table for supporting a workpiece; a first machining device having a machining head capable of supporting a first rotary tool for machining the workpiece supported by the table, and a plurality of linear movement devices for moving the machining head in three dimensions; and a first robot that has a multi-joint arm that changes the position and orientation of the second rotary tool, and that machines the workpiece supported by the table using the second rotary tool. The workpiece support device has a first drive device that rotates the table about a first axis.

The invention is applicable to the technical field of thread cutting, and provides a cutting system for processing a reverse-thread nut stud, which comprises a conveying frame, two groups of high-temperature-resistant conveying belts which are arranged in parallel are arranged between the two supporting frames from top to bottom in a transmission manner; a cutting frame is fixedly mounted on the side surface of the U-shaped seat; the outer wall of the rotating shaft is provided with a reciprocating spiral groove matched with a left-hand thread on the circumferential side face of the left-hand thread nut column. A sliding seat matched with the reciprocating spiral groove is arranged on the inner bottom face of the U-shaped table in a sliding mode. A cutting piece in sliding fit with the sliding rail is rotationally arranged on the side face of the sliding base. According to the system, the two sets of high-temperature-resistant conveying belts are used in cooperation with the clamping pieces and the stopping pieces, charging, discharging and tool setting of a to-be-cut nut column body are achieved, the automation degree is high, meanwhile, the clamping pieces and the stopping pieces complete fixed clamping of the to-be-cut nut column body, the working efficiency is improved, and the working efficiency is improved. The working efficiency is improved, meanwhile, the turning stability is improved, and then the turning quality is improved.

The invention discloses an assembly process method for concentricity of a spindle and a tool rest of a precision automatic lathe, which comprises the following steps of: in a thermal steady state of a lathe, mounting a mandrel in a spindle taper hole, detecting the radial run-out precision of the mandrel, mounting the tool rest on a lathe body and preliminarily fixing, and collecting run-out data of multiple point positions of the end surface of the tool rest through a measuring system. The compensation amount of each adjusting bolt is generated based on the run-out data set, and locking is completed after the tool rest is leveled to a first preset threshold value according to the compensation amount set; a boring tool system is installed on the positioning connector of the mandrel, the spindle drives the boring tool system to rotate, one-time boring machining is carried out on the inner hole of the tool rest according to preset cutting parameters, and a target inner hole coaxial with the axis of the spindle is formed; according to the tool rest inner hole concentricity adjusting method, time loss and error accumulation caused by relying on dismounting, shoveling and scraping and repeated correction in the traditional technology can be avoided, the concentricity of the tool rest inner hole is directly closed to the main shaft reference from the machining behavior, the stability and repeatability of the concentricity precision are guaranteed, and the assembling efficiency and the machining quality are greatly improved.