3239 results about "Processing accuracy" patented technology

The invention provides a magnesium alloy electric drive main shell mold machining precision control method and system, and belongs to the field of precision numerical control machining. The method comprises the steps that dynamic milling force, key point temperature and position signals of all shafts are synchronously collected through a multi-source sensor; a recursive least square method is adopted to identify the dynamic rigidity and damping coefficient of the tool-workpiece system on line, and the thermal deformation drift distance is calculated in combination with a temperature signal; predicting a three-dimensional deformation error vector in real time based on the dynamic model, thermal deformation and geometric errors, and constructing a space compensation field; macro motion compensation is achieved by modifying numerical control program coordinate points, and meanwhile high-frequency micro-amplitude compensation is conducted through a spindle tail end fast tool servo system. And establishing an adaptive disturbance observer to perform online estimation on unmodeled disturbance and feed-forward compensation, and realizing online self-tuning of model parameters in combination with in-situ measurement feedback. Real-time sensing, full-band dynamic compensation and closed-loop self-adaptive control of multi-source errors are achieved, and the machining precision and long-term stability of the mold are remarkably improved.

The invention discloses a mechanical part pre-deformation clamping process method based on simulation analysis, and relates to the technical field of mechanical manufacturing. The method comprises the following steps that S1, a design drawing, material characteristic parameters, blank size specifications and technical parameters of a clamp system of a to-be-machined part are collected; according to the method, an integrated simulation model of a part, blank and clamp system is constructed, blank key parameters and the constraint relation of all parts are fused, multi-field coupling simulation is combined, the theoretical deformation field pre-judgment precision is greatly improved, reliable data support is provided for pre-deformation design, a target compensation curved surface is generated through a geometric inversion algorithm, and the pre-deformation design precision is improved. By matching with a pre-deformation clamp with an adjusting mechanism, reverse pre-deformation is realized, differences of different batches of blanks are adapted, machining and rebound deformation are effectively counteracted, simulation and process parameters are corrected through a detection result by means of a closed-loop optimization mechanism, machining precision stability is guaranteed, trial cutting cost and rejection rate are reduced, and the method is suitable for machining of various easily-deformed parts.

The invention relates to the technical field of optical manufacturing and processing control, in particular to an intelligent control system of lens processing equipment, which comprises a process relationship pre-storage module, a pressure distribution acquisition module, a surface shape error prediction module, a pressure compensation decision module, an actuator control module and a processing effect verification module. Wherein the process relation pre-storage module is used for establishing a pressure-removal rate relation mapping table; the pressure distribution acquisition module is used for acquiring pressure distribution data; the surface shape error prediction module is used for predicting surface shape error data generated by the lens; the pressure compensation decision module is used for generating a regionalized pressure compensation amount; and the actuator control module is used for dynamically adjusting the pressure applied to different areas of the lens by the polishing head. According to the method, by constructing the pressure-removal rate mapping and closed-loop self-calibration mechanism, intelligent pressure regulation and control and surface shape error dynamic correction in the lens polishing process are achieved, and the machining precision and stability are remarkably improved.

The invention relates to the technical field of intelligent control of numerical control machine tools, in particular to a numerical control machine tool machining parameter self-optimization system based on cross-frequency interference coupling regulation and control, which comprises a cross-frequency interference event judgment unit and a dynamic coupling regulation and control unit, a cross-frequency interference event judgment unit calculates cross-frequency interference intensity factors in continuous M control periods by comparing a blade frequency band characteristic value rising amplitude with a cutter frequency band characteristic value falling amplitude, a cooperative regulation and control instruction is generated, a dynamic coupling regulation and control unit executes step down-regulation of the feeding amount after receiving the instruction, and the frequency band characteristic value of the blade is adjusted. And a main shaft torque compensation current is synchronously calculated and injected to stabilize the rotating speed, meanwhile, transient jitter is sampled through the rotating speed micro-oscillation suppression sub-module, reversed-phase pulse counteracting is generated, and when a blade frequency band characteristic value fluctuates, a cutter frequency band regression reference and an interference intensity factor reach a safe area, regulation and control are terminated, and the machining precision is improved.

The invention relates to a machining path planning system, in particular to the technical field of intelligent manufacturing and numerical control machining, and overcomes the defect that a thermal coupling effect is ignored in traditional geometric planning by constructing an evolution model fused with a physical law. A dynamic decoupling algorithm is utilized to extract a real cutting load from multi-source data and reconstruct a rigidity field changing along with material removal in real time, the problem that a physical boundary is difficult to perceive under a complex working condition is solved, and the system effectively eliminates size out-of-tolerance caused by heat accumulation through transient deformation advanced prediction. According to the method, the non-linear error is actively counteracted in cooperation with a reverse compensation strategy based on sensitivity analysis, the machining precision and surface quality of the thin-wall weak-rigidity part are remarkably improved, the rejection rate and trial cutting cost are reduced, and intelligent closed-loop control over the manufacturing process is achieved.

The invention discloses a machine tool thermal error compensation system based on digital twinning and cloud edge collaboration, which belongs to the technical field of precision manufacturing and comprises a physical error control layer, a digital twinning data layer, a virtual error control layer, an edge server and a cloud server. And performing real-time prediction on the acquired temperature and thermal error data through a long-sequence space-time fusion parallel network model deployed in an edge server, and issuing a compensation instruction to the CNC controller. And the cloud server is responsible for training and updating the model. According to the method, high-precision modeling and low-delay real-time compensation of the thermal error are realized through the cloud edge cooperation and digital twinning technology, the thermal error of the main shaft is reduced by 80% at most, the response delay of the system is reduced by about 40%, and the machining precision and stability of a machine tool are remarkably improved.

The invention belongs to the technical field of gear precision machining, and particularly relates to a high-precision machining method for a complex curved surface gear, which comprises the following steps: acquiring a gear three-dimensional model and planning an initial machining path; tooth profile errors are predicted based on the path, and real-time dynamic compensation is conducted in the machining process; predicting a heat treatment deformation trend based on the compensated motion trail and the real-time data; adjusting heat treatment process parameters according to the predicted deformation trend; and detecting the final state of the gear after heat treatment, and updating the error prediction and compensation model according to a detection result. According to the method, real-time error compensation in the machining process is associated with predictive control of heat treatment deformation to form a closed loop, the problem that in the prior art, machining precision and structural stability after heat treatment are difficult to cooperatively guarantee is solved, and high-precision and high-reliability unified manufacturing of the complex curved surface gear is achieved.

The invention relates to the technical field of precision machining, in particular to a compensation method for thermal deformation of an aviation large-size workpiece, which comprises the following steps of: firstly, establishing a first mapping relation between the size change of a calibration piece at different temperatures and the temperature through a thermal deformation calibration experiment; then, by taking the experimental data as a reference, correcting a thermal expansion coefficient in the calibration piece simulation model through an optimization algorithm, and establishing a high-precision prediction model for deformation of the workpiece to be machined; in the actual machining process, real-time temperature field data are collected through a temperature sensor arranged in a key area of a machine tool, and the thermal deformation error of a workpiece to be machined and the thermal offset of the original point of a machining coordinate system are predicted through the prediction model; and finally, according to a prediction result, a machining track is compensated in real time by dynamically offsetting a machining coordinate system and modifying the scaling ratio of each axis of a numerical control system. According to the method, the problem that under the non-constant-temperature working condition, machining is out of tolerance due to thermal deformation of the aviation large-size workpiece is effectively solved, and the machining precision and the percent of pass are remarkably improved.

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention discloses a data acquisition-based dynamic path planning method and system for an intelligent industrial robot with a body, and relates to the technical field of industrial robots. The method comprises the core steps of system calibration and parameter presetting before machining, multi-mode sensor dynamic acquisition, point cloud preprocessing, curvature sensing dynamic ICP registration, micro-inertia disturbance compensation, dynamic path planning, procedure adaptation adjustment, real-time feedback correction and the like. The point cloud quality is guaranteed through multi-sensor cooperation and dynamic switching, the registration effect is adjusted and optimized through curvature correlation parameters, dynamic compensation is achieved through a disturbance prediction model, the connection efficiency is improved through procedure parameter mapping, and accurate fitting of paths is guaranteed through graded feedback correction. The method is suitable for machining complex curved surfaces such as artificial joints, machining precision and stability can be remarkably improved, and the method has extremely high scene migration capacity, can provide reliable technical support for precision machining of similar complex curved surfaces and has remarkable popularization value.

The invention discloses a rolling forming device and a processing control method for a vehicle battery steel-clad frame, the rolling forming device comprises a rolling base, a plurality of rolling forming units are arranged on the rolling base side by side along the X-axis direction by taking the conveying direction of a steel plate sheet as the X-axis direction and the width direction of the steel plate sheet as the Y-axis direction; an auxiliary platform is arranged at the end, opposite to the X-axis direction, of the rolling base, a surface detection device and a synchronous positioning unit are installed on the auxiliary platform, a finished product detection unit is installed at the other end of the rolling base, and the rolling forming unit comprises a frame, an upper rolling mold and a lower rolling mold, the upper rolling die is driven by a servo electric cylinder at the upper end of the frame to ascend and descend so as to adjust the distance between the upper rolling die and the lower rolling die. The problems that existing rolling equipment cannot adapt to the characteristics of martensite steel plates, so that the machining precision is low, and the rolling equipment cannot be suitable for high-precision forming of battery steel-clad frames can be solved.

The invention discloses an active vibration suppression and deformation compensation device for high-precision thin-walled part machining, and relates to the technical field of machining equipment. The device comprises a base module, a clamping positioning module, a multi-source sensing monitoring module, a cooperative actuation vibration suppression module, a multi-point flexible compensation module, an intelligent control module and a machine tool cooperative interface module. The multi-source sensing monitoring module synchronously collects vibration, deformation, cutting force and temperature signals in the machining process. The intelligent control module processes signals and drives the cooperative actuation vibration suppression module (including a piezoelectric actuator group and a voice coil motor follow-up supporting unit) to perform broadband vibration suppression, and meanwhile drives the multi-point flexible compensation module (including a flexible supporting matrix and a path compensation interface) to perform local and overall deformation compensation. Synchronous monitoring and active cooperative control of vibration and deformation are achieved through closed-loop control, the machining precision, the surface quality and the machining efficiency of the thin-wall part are remarkably improved, compatibility is good, and the adaptive range is wide.

The invention relates to the field of precise motion control, in particular to a precise motion control method and system for a multi-axis linkage direct-drive-force tool tower crane. Comprising the following steps: acquiring a processing track, dispersing the processing track into a plurality of spatial motion units, and determining a target displacement for each motion axis; receiving a completion signal; and after determining that the motion axis participating in the current space motion unit completes the corresponding target displacement according to the completion signal, obtaining the completion time of each motion axis, and issuing the target displacement corresponding to the next space motion unit to each motion axis by taking the completion time of the motion axis with the longest completion time as a time reference. Therefore, each motion shaft is started to move the next space motion unit. The technical problems that the machining precision is reduced and the product quality is unqualified due to clock frequency drift and movement shaft synchronization deviation accumulation caused by gradual change of microcosmic physical characteristics in a system of a multi-shaft linkage direct-driving-force tool tower crane are solved.

The invention provides a digital twinning five-axis machine tool contour error prediction method and system and electronic equipment, and belongs to the technical field of numerical control machine tool precision control and digital twinning. According to the method, servo axis data are collected in real time at a numerical control system end, electromechanical parameters are identified on line, comprehensive disturbance is estimated, and an autoregressive exogenous (ARX) model is updated accordingly; an interpolation instruction is generated in a digital twin body end mirror image numerical control system process, an updated model is utilized to predict a shaft position with deviation, a tool path is obtained through kinematics positive solution, and finally contour errors are calculated through geometric alignment. According to the digital twinning five-axis machine tool contour error prediction method and system and the electronic equipment, dynamic and high-precision prediction of the five-axis machine tool machining track contour error is achieved through the online identification and digital twinning technology, the limitation of a traditional static compensation method is overcome, and the precision of the digital twinning five-axis machine tool contour error prediction is improved. And a key basis is provided for prospective process optimization and precision control, and the machining precision and efficiency are effectively improved.

The invention relates to the technical field of numerical control machine tool control, and discloses a numerical control rotary table precision compensation method and system based on digital twinning. The method comprises the following steps: constructing a digital twin model of the numerical control rotary table for simulating a deformation behavior under a thermal-mechanical coupling effect; multi-source physical field sensing data such as bearing temperature, servo motor current and rotary table angular displacement are collected in real time; the digital twin model is driven by the sensing data to perform thermal-mechanical coupling simulation, and a comprehensive error prediction value is obtained; generating a compensation trigger signal based on a comparison result of the error prediction value and a preset threshold value; in response to the trigger signal, generating an axis motion feed-forward compensation instruction through inverse kinematics calculation; and the compensation instruction and the original machining instruction are executed after being superposed. Dynamic prediction and active compensation of the precision of the numerical control rotary table are achieved, and the machining precision and stability are effectively improved.

The invention relates to the technical field of thermal deformation correction, in particular to a cycloid cycloid self-adaptive correction system and method based on thermal deformation, and the system comprises a data collection module which is used for collecting parameters and carrying out the digital modeling of the initial shape of a to-be-machined area of a workpiece; the ideal shape calculation module is used for calculating the ideal machined shape of the to-be-machined area at the nth moment and the ideal contact moment and the contact duration of the cutter and each to-be-machined area based on the cycloid trajectory equation; the shape estimation module is used for identifying an actual contact parameter based on the power detection parameter, establishing a mapping relation between contact parameter deviation and thermal deformation, and further estimating an actual processed shape; and the compensation execution module is used for adaptively adjusting the machining parameters to correct the thermal deformation influence based on the deviation between the actual machined shape and the ideal machined shape. According to the invention, processing environment interference can be avoided, and accuracy of detection data is ensured; and thermal deformation detection and correction are accurately carried out, and the cycloid rotational separation machining precision is improved.

The invention relates to an information processing method and device, equipment, a storage medium and a product, and the information processing method comprises the steps: receiving input multi-source knowledge information which comprises knowledge information from at least two information sources; under the condition that the multi-source knowledge information contains a conflict information group, based on an information field to which the knowledge information in the conflict information group belongs, performing conflict resolution processing on the knowledge information in the conflict information group to obtain target knowledge information; different information fields correspond to different conflict resolution modes; the conflict information group comprises a plurality of pieces of knowledge information with different information sources and information conflicts; and outputting the target knowledge information for the large model to call and perform question and answer reply. Through the method, the limitation of a traditional single rule in processing multi-source heterogeneous knowledge is effectively overcome, and the processing accuracy of knowledge conflicts in different fields is remarkably improved.

The invention provides an operation and maintenance alarm intelligent filtering and grading processing method based on a self-adaptive algorithm, and relates to the technical field of computer operation and maintenance management, and the method comprises the steps: obtaining an alarm event, extracting semantic and time sequence characteristics, carrying out the dynamic clustering through employing a self-adaptive similarity measurement mechanism, calculating a priority score based on an influence range and an emergency degree, and carrying out the calculation of an alarm result. And a self-adaptive filtering strategy is implemented in combination with the operation and maintenance resource state, and finally, filtered alarms are distributed to corresponding operation and maintenance units for processing, collection and feedback. According to the method, redundant alarms can be effectively reduced, resource allocation is optimized, and the operation and maintenance efficiency and the alarm processing accuracy are improved.

The invention relates to the technical field of intelligent manufacturing equipment, in particular to a turning machine tool and a turning method of a hydraulic motor output shaft. The turning machine tool comprises a rack, a drill chuck assembly used for clamping and fixing a workpiece is rotationally installed on the rack, and the drill chuck assembly is driven by a driving device arranged on the rack to rotate; a tailstock is fixed to the machine frame, and an ejector pin which can linearly move, can rotate and is used for abutting against and limiting the end of a workpiece is installed on the tailstock. A tool rest bottom plate capable of linearly moving in the axial direction of a workpiece is arranged on the rack, a rotary cutter head is arranged above the tool rest bottom plate, and a tool turret is arranged above the rotary cutter head; a plurality of turning tools with the machining precision gradually increased are sequentially and fixedly clamped on the tool turret in the circumferential direction at equal angles. The turning method is efficient, precise and high in automation degree. And the bottleneck problems of low efficiency, poor precision stability, dependence on skilled workers and the like of multi-precision shaft parts such as output shafts of hydraulic motors in the traditional turning process are effectively solved.

The invention relates to the technical field of semiconductor processing technologies, and discloses an optical proximity correction method, device and equipment of a mask pattern and a storage medium, and the optical proximity correction method of the mask pattern comprises the steps: carrying out the morphology prediction of a polished surface of a to-be-processed wafer, and obtaining the morphology information of the polished surface; correcting focal plane parameters in a simulation optical model according to the shape information of the polished surface; and performing optical proximity correction on the initial mask pattern by using the corrected simulation optical model to obtain a corrected mask pattern. According to the method, the shape information of the polished surface of the to-be-processed wafer is predicted, and the focal plane parameters in the simulation optical model are corrected on the basis of the shape information, so that the accuracy and reliability of optical proximity correction of the initial mask pattern based on the simulation optical model are ensured; and the processing precision of semiconductor photoetching based on the mask pattern can be improved.

The invention belongs to the technical field of numerical control machining, and discloses a numerical control machining tool path regulation and control method and system based on a dynamic coordinate system and overcut pre-judgment. The method aims at the problems that in complex curved surface grinding, due to static programming, tracks and poses are disjointed, and the overcut risk is difficult to control in time. The method comprises the steps that a dynamic coordinate system updated along with a tool edge line in real time is constructed, and design coordinates are mapped to the coordinate system; a sampling point is preset in the neighborhood of a grinding wheel theoretical contact point, and the theoretical distance and the actual distance between the sampling point and the axis of the grinding wheel are quantitatively calculated to achieve intelligent pre-judgment of the overcut risk before machining; and when it is judged that the risk exists, differentiated grinding wheel dynamic deflection angle correction is triggered in a grading mode according to the overcut occurrence position, and a perception pre-judgment correction closed loop is formed till the risk is eliminated. Dynamic coupling and self-adaptive regulation and control of the tool path and the real-time pose are achieved, and the machining precision, the consistency and the process reliability are remarkably improved.

This invention discloses a robotic grinding auxiliary device with a follow-up lattice circulation mechanism for thin-walled parts, comprising: a grinding robot mechanism, a thin-walled part, and a follow-up lattice magnetorheological support mechanism. The follow-up lattice magnetorheological support mechanism is positioned directly in front of the grinding robot mechanism. A left positioner and a right positioner are located on either side of the follow-up lattice magnetorheological support mechanism. The left and right positioners are configured to clamp the thin-walled part from both sides, allowing the thin-walled part to be synchronously moved with the left and right positioners. The thin-walled part is positioned vertically above the follow-up lattice magnetorheological support mechanism, and the working end of the grinding robot mechanism is positioned above the thin-walled part. This invention effectively counteracts the cutting force applied by the grinding robot by providing active and adaptive support from below, greatly suppressing workpiece vibration and deformation, and ensuring machining accuracy and surface quality.

The utility model discloses a positioning and clamping tool for a workpiece with a C-shaped section. The positioning and clamping tool comprises a tool base, a surface positioning assembly, a pin positioning assembly, a clamping assembly and a clamping assembly, wherein the surface positioning assembly is arranged on the tool base and used for preliminarily positioning the workpiece; the pin positioning assembly is arranged on the tool base and used for accurately positioning the workpiece; according to the positioning and clamping tool for the workpiece with the C-shaped section, placement of the workpiece is completed through initial positioning of the guide block on the supporting block, then clamping of the workpiece is completed through the face positioning assembly, the positioning and clamping tool adapts to different types of workpieces, meanwhile, it can be guaranteed that initial clamping and initial positioning of the workpiece are completed, and then accurate positioning of the workpiece is completed through the pin positioning assembly; accurate positioning of the workpiece is completed through multiple positioning modes, so that the workpiece is clamped more accurately, and the subsequent machining precision is guaranteed.

The invention discloses an electronic film cutting control method and system based on digital twinning. The method comprises the steps that tool and material interaction data are collected and denoised, time domain and frequency domain characteristics of the tool and material interaction data are extracted, spectral distribution is calculated through Fourier transform, and material characteristic fluctuation mode data are determined; if the threshold value is exceeded, judging that the toughness of the material is changed, obtaining time sequence data, obtaining a material difference feature vector, inputting the material difference feature vector into a support vector machine model for classification, matching a material database, and determining an optimized control parameter set; a deep neural network is adopted to predict the optimized control parameter set, and environment variables are fused to obtain a final dynamic control instruction set; and if the final dynamic control instruction is not matched with the current cutter state, a stable machining path is obtained through closed-loop feedback cycle updating. According to the method, the digital twin of the cutter and the material is constructed, the physical machining process is mapped in real time, the machining precision and adaptability can be remarkably improved, and intelligent response to the material difference is achieved.

The invention relates to the technical field of industrial adaptive control, in particular to an automatic processing parameter optimization method and system for a five-axis numerical control machine tool. The specific implementation process comprises the following steps: carrying out discrete analysis on machine tool parameters containing a cutter shaft vector and a translation shaft position coordinate, and generating time-varying geometric features; constructing a numerical control machine tool simulation model according to the material constitutive equation and the frequency domain response function, calculating a regenerative flutter prediction sequence, and dividing a real-time parameter feasible region by combining global rigidity and local flexibility data; and performing global iteration optimization on the processing parameter function group by using a multi-target optimization algorithm in the feasible region, and locking a Pareto optimal solution set to perform automatic optimization on the processing process. According to the method, the simulation model containing the physical dynamic characteristics and the real-time parameter feasible region are constructed, flutter and errors caused by stiffness matching imbalance are avoided, collaborative optimization of multiple target variables is achieved, and the productivity efficiency of the numerical control machine tool is remarkably improved on the premise that the machining precision is guaranteed.

The invention relates to the technical field of industrial control, in particular to an error compensation method for numerical control machining of an automobile stamping die, which comprises the following steps of: acquiring temperature of a plurality of thermo-sensitive points of a numerical control machine tool and thermal displacement data of a tool nose; the effective thermal driving potential is calculated by considering the time lag effect of the temperature level and the historical temperature change; calculating a thermal phase direction gradient in combination with the temperature difference value and the nonlinear gain; combining the effective thermal driving potential and the thermal phase direction gradient into a feature vector to train a support vector regression model; and inputting the feature vector in real time to obtain a compensation value, and superposing the compensation value to the coordinate instruction by dynamic origin offset. The method can accurately reflect the thermal inertia, capture the dynamic evolution of the thermal state, comprehensively represent the thermal state to improve the adaptability of the model, and correct the thermal error in real time, thereby improving the machining precision and surface quality of the automobile stamping die.

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 invention provides a machining tool for fixing a rotor room, and relates to the technical field of machine tool machining, the machining tool comprises a base, a supporting part and clamping parts, the supporting part is used for supporting the bottom of the rotor room, the multiple clamping parts are arranged at equal intervals in the circumferential direction of a preset axis, and the axis of the rotor room coincides with the preset axis; the clamping part comprises a support and two clamping plates, the clamping plates are made of elastic materials, the support is provided with a moving part and a middle part which are connected with the clamping plates, the two clamping plates are arranged on the inner side and the outer side of the side wall of the rotor room respectively, and the moving part enables the two clamping plates to be close to each other in the radial direction of the rotor room and abut against the side wall of the rotor room. And meanwhile, the middle part enables the clamping plates to generate deformation attached to the side wall of the rotor room so as to fully clamp the side wall of the rotor room in the radial direction, the supporting area of the clamping plates to the rotor room is large, the multiple clamping parts enable supporting points to be reasonably distributed, the local bearing pressure of the rotor room is reduced, elastic deformation or plastic distortion of the rotor room is reduced, and therefore the machining precision is guaranteed.

The invention relates to the technical field of bending machining, and discloses a hydraulic accessory pneumatic clamping and bending machining device which comprises a machining table, a bending block is fixedly installed at the output end of a hydraulic cylinder, limiting frames are installed at the positions, located on the two sides of the bending block, of the top of the machining table correspondingly, and first extrusion rollers are rotationally connected to the inner walls of the two limiting frames correspondingly; according to the pipe or columnar material bending device, a bending block is matched with a first extrusion roller rotationally connected to a limiting frame to extrude and bend a pipe or a columnar material together, in the process, the first extrusion roller is rotationally connected to the limiting frame, and in the process, the pipe or the columnar material is extruded and bent through the first extrusion roller, so that the pipe or the columnar material is extruded and bent; the distance between the bending area and the clamping area is kept unchanged, the bending strength is not affected, the bending size is changed, meanwhile, the clamping position and distance are synchronously changed, self-adaptive clamping adjustment in the bending size adjusting process is achieved, workers do not need to conduct repeated multi-term adjustment, the workload is reduced, and the working efficiency and the machining precision are improved.

The invention relates to the technical field of grinding machine tools, in particular to an airspace engine directional blade tenon bottom face grinding machine tool which comprises a clamping device for clamping a directional blade, a belt sander, a portal frame, a horizontal sliding system, a lifting mechanism and a cushion block arranged below a sanding belt. The cushion block provides rigid support for the abrasive belt, and an oil storage tank with an oil absorption roller is arranged above the cushion block for automatic lubrication. And the horizontal sliding system and the lifting mechanism on the portal frame drive the clamping device and the directional blade to realize feeding movement. The problem that abrasive belt suspended grinding is unstable is solved through rigid supporting and automatic lubricating, manual grinding is replaced with mechanical operation, and therefore the machining precision and efficiency of the tenon bottom face of the directional blade are remarkably improved, the rejection rate and the labor-hour cost are reduced, and reliable assembly of the directional blade and a wheel disc is guaranteed.