439results about How to "Reduce machining errors" patented technology

The invention discloses a numerical control machine tool operation control system and a double-station sawing and drilling integrated machine tool, and relates to the technical field of numerical control machine tool operation. A multi-axis linkage state, a gas cylinder stress state, vibration frequency, cutting force and deformation data are acquired in real time through a data acquisition module; the dynamic modeling module constructs a digital twinborn model by using finite element analysis and real-time sensing data, and accurately simulates stress dynamic change and deformation trend; the intelligent error compensation module dynamically evaluates the multi-axis linkage precision by analyzing the machining data, generates an error compensation instruction and optimizes the operation parameters of the machine tool; the closed-loop feedback control module adjusts the cutting speed, the feeding depth and the clamping force in real time through a fuzzy logic algorithm, a closed-loop adjusting mechanism is formed, the machining precision and stability are greatly improved, the machining error and the workpiece surface damage risk are reduced, and the machining quality and efficiency of complex workpieces are effectively improved.

The invention relates to the technical field of automatic control, in particular to a machine tool automatic adjustment control system which comprises a material analysis adjustment module, an environment adaptation adjustment module, a machining vibration compensation module and a machining energy efficiency management module. By monitoring and analyzing the running state of the machine tool in real time and adjusting the machine tool parameters based on historical machining data, the machine tool can automatically adjust the cutting speed and the feeding rate according to the physical characteristics of different materials, the machining efficiency is optimized, the machining quality of the workpiece surface is improved, the machine tool setting is adjusted according to the workshop environment change, and the machining efficiency is improved. The stability of the machining process and the quality of a workpiece are guaranteed, machining errors caused by vibration of the machine tool or the workpiece are reduced through real-time analysis and compensation of vibration data, the machining precision is kept, the energy utilization efficiency is improved through real-time monitoring and optimization of energy consumption of the machine tool, the production cost is reduced, and the production efficiency is improved. And the whole production process is more economical and environment-friendly.

The invention relates to the technical field of automobile metal part drilling machining, in particular to an automobile steering knuckle drilling pre-machining machine tool. The automobile steering knuckle machining equipment comprises an installation machine base, a drilling device, a tool clamp and a control system, the drilling device and the tool clamp are installed on the installation machine base and are important components of the equipment, and preprocessing of an automobile steering knuckle is achieved; the control system comprises a hydraulic system, a pneumatic control system, a cutting fluid circulating system, a lubricating system, a chip removal system and an electric control system. The drilling device, the tool clamp, the material pressing device, the control device and other functional components are efficiently matched, the efficiency of automobile steering knuckle drilling pre-machining is remarkably improved, through precise movement of the drilling device, stable fixation of the tool clamp and the material pressing device and continuous lubrication of the lubricating device, high precision of the machining process is guaranteed, and the machining efficiency is improved. The problems of workpiece machining defects, equipment overheating and the like are reduced, and potential safety hazards are reduced.

The invention discloses an intelligent milling system for a weak-rigidity cylindrical part and a self-adaptive machining method, and relates to the technical field of mechanical cutting machining.The intelligent milling system comprises a six-degree-of-freedom robot, a milling device arranged at the tail end of the six-degree-of-freedom robot, an inner supporting floating tool for clamping the weak-rigidity cylindrical part and an industrial personal computer for controlling the machining system; the robot control cabinet is used for controlling the six-degree-of-freedom robot to move in space, detecting the global deformation of the wall surface of the weak-rigidity cylindrical part through the inner support floating tool, and constructing and utilizing a finite element simulation-recurrent neural network global wall surface deformation prediction model to predict the wall surface deformation. And the cutting amount of the cutter is adjusted in real time for dynamic compensation in the machining process. The machining precision can be improved, machining errors are reduced, the tool utilization rate is increased, and the production cost is reduced.

The invention relates to the technical field of self-adaptive control laser cutting, in particular to a self-adaptive laser cutting method and system based on characteristic parameters of sheet metal parts. Firstly, by establishing a space coordinate system and obtaining a top view image of a cutting platform, contour deviation is calculated, a correction initial position is generated, and then a cutting path is optimized. And the laser cutting head moves to the corrected initial position according to the path and performs a cutting task. In addition, the method further comprises the steps that the to-be-processed sheet metal part image is segmented into a plurality of sub-images, and a sub-image cross list is established to describe the connection relation of the sub-images. And extracting a subimage feature vector through a feature learning model, and adjusting a control parameter by using cutting simulation information to compensate an error. And for each sub-image, based on the cutting result and the connection relationship, adaptive adjustment of control parameters is carried out, and the precision of the subsequent cutting step is ensured. And finally, a complete cutting task is realized by updating the cutting mark and merging the sub-images.

The invention discloses a machining track control method and system for a numerical control lathe, and the method comprises the steps: inputting at least one first real-time machining image into a preset image recognition model, and outputting a first tool image corresponding to the at least one first real-time machining image; fusing the first cutter images according to a preset fusion rule to obtain a first real-time processing sub-track in the first sampling period, and judging whether the similarity between the first real-time processing sub-track and the first initial processing sub-track is greater than a preset threshold; and if the first real-time processing sub-track is not greater than the preset threshold value, generating a first correction strategy according to the first real-time processing sub-track and the first initial processing sub-track, and correcting a second initial processing sub-track according to the first correction strategy to obtain a second target processing sub-track. The actual machining track can be closer to the theoretical machining track, and therefore the workpiece machining error is reduced as much as possible.

The invention discloses a CNC machine tool with an anti-jamming servo tailstock, and relates to the technical field of machine tool equipment.The CNC machine tool comprises a workbench, a machine tool body is arranged at the upper end of the workbench, a spindle box is arranged at the upper end of the machine tool body, a chuck is arranged on one side of the spindle box, a fixing plate is arranged in the machine tool body, and a first servo motor is arranged on one side of the machine tool body; the output end of the first servo motor penetrates through the lathe bed and is provided with a lead screw, two supporting guide rods are symmetrically arranged between the fixing plate and the inner surface of one side of the lathe bed, a moving block is arranged on the outer surface of the lead screw, a tailstock sliding saddle is arranged at the upper end of the moving block, and a mounting table is arranged at the upper end of the tailstock sliding saddle. According to the CNC machine tool with the anti-jamming servo tailstock, the rear center can be stably driven to transversely move, impurities on the surfaces of the lead screw and the supporting guide rod can be efficiently cleaned and automatically lubricated during use, the jamming condition is prevented, and meanwhile, the center base body and the rear center can be conveniently disassembled, assembled and replaced.

The invention relates to the field of cutting devices, and discloses a noise reduction cutting device for metal part manufacturing, which comprises two bottom rails, a concave frame capable of sliding to adjust the position is arranged at the tops of the two bottom rails, a transverse moving structure is arranged at the top of the concave frame, and an up-down displacement structure is arranged at the lower end of the transverse moving structure. The lower end of the up-down displacement structure is connected with a laser cutting head, precise positioning of the laser cutting head in the horizontal direction can be achieved through sliding fit of a bottom rail and a concave frame and a transverse movement structure at the top of the concave frame, a second motor drives a first gear to be in meshing transmission with teeth, and the transverse movement distance of a motor sliding table can be precisely controlled. Therefore, the laser cutting head can conduct high-precision cutting on the metal piece according to the preset cutting path, good contour precision can be guaranteed when the metal piece in a complex shape is machined, machining errors are effectively reduced, and the product quality is improved.

The invention discloses a high-precision part machining path planning method based on artificial intelligence optimization, and the method comprises the following steps: generating a first three-dimensional geometric model of a to-be-machined part, carrying out the curved surface division, and obtaining a manufacturing feature point according to a division result; determining a processing placement surface for the first three-dimensional geometric model according to the manufacturing feature points, and performing processing element positioning and shaping to obtain a second three-dimensional geometric model; processing path preliminary planning is carried out, optimization is carried out based on mixed # imgabs0 # equilibrium by using a neural network, and a second planning processing path is output; performing path optimization based on a Gaussian distribution function and a cubic # imgabs1 # spline curve to obtain a third planning processing path; and simulation verification is carried out, path adjustment and optimization are carried out by adopting a hierarchical optimization ant colony algorithm according to a verification result, and a final planning processing path is output. The precision, the efficiency, the flexibility and the adaptability in the high-precision part machining process are improved.

The present invention relates to the technical field of gear grinding machines, and discloses a CNC forming gear grinding machine, including a machine base, a fixed frame arranged on the machine base, a control box arranged on the front side of the machine base, and a three-axis control unit arranged on the fixed frame, and also includes a bearing assembly and a gear grinding assembly arranged on the three-axis control unit, a protective frame arranged on the gear grinding assembly, and a protective mechanism arranged on the protective frame. This CNC forming gear grinding machine can quickly and effectively absorb and disperse vibration energy when the grinding wheel first shows signs of shaking through an anti-shake assembly, thereby achieving a preliminary shock absorption effect, thereby reducing fatigue vibration of the grinding wheel when working for a long time, and further absorbs and consumes vibration energy through a damping assembly, thereby achieving deep suppression of grinding wheel shaking, and significantly improves the stability during the grinding process through the dual shock absorption mechanism of the anti-shake assembly and the damping assembly, thereby ensuring the accuracy of gear processing and reducing processing errors caused by shaking.

The invention relates to the technical field of laser welding, in particular to a positioning tool for laser welding, which comprises a platform, a motor is mounted on the outer wall of one side of the platform, one end of an output shaft of the motor is connected with a two-way screw through a coupler, and the outer walls of the two sides of the two-way screw are connected with a sliding frame through threads. A first sliding groove is formed in the outer wall of one side of the sliding frame, a clamping frame is slidably connected to the inner wall of the first sliding groove, a second sliding groove is formed in the outer wall of one side of the top of the clamping frame, a locking frame is slidably connected to the inner wall of the second sliding groove, and locking plates are fixedly connected to the outer walls of the two sides of the bottom end of the locking frame. The clamping plate pushes the bottom plate, the limiting plate rotates to be horizontal to limit the top of a workpiece under the linkage effect, and after the limiting plate rotates, the locking structure automatically slides downwards to be inserted into the corresponding position of the clamping structure for locking under the gravity effect, so that the clamping and positioning effect is improved, the machining error is reduced, and the repeated positioning precision is improved; and the positioning efficiency of the laser welding positioning tool is improved.

The invention discloses a machine tool clamping device for cylinder sleeve rough machining, and relates to the technical field of cylinder sleeve rough machining clamps, the machine tool clamping device comprises a center column and a center cylinder, and one end of the center column is fixedly connected to the side face of a partition plate. A main body structure of the device comprises a center column, an inner wall expanding and supporting assembly is arranged on the outer wall of the center column, an end face clamping assembly for clamping the end face of the cylinder sleeve is arranged on a right-angle supporting plate of a core assembly of the inner wall expanding and supporting assembly in the horizontal direction, and the end face clamping assembly and the inner wall expanding and supporting assembly are matched with each other when the outer wall of the cylinder sleeve is subjected to rough machining; the end face of the cylinder sleeve is clamped, and the problems that in the prior art, when a numerical control machine tool conducts rough machining on the cylinder sleeve, an inner supporting assembly is mostly adopted for expanding and supporting the inner wall of the cylinder sleeve, the cylinder sleeve is fixed to facilitate rough machining on the outer wall of the cylinder sleeve, and the end face of the cylinder is not clamped at the moment can be thoroughly solved. And when the air cylinder sleeve is subjected to axial force due to milling, the air cylinder sleeve is easy to transversely move along the inner supporting assembly, and machining errors are caused.

The invention provides an automatic production stamping method for automobile warm air heat exchanger accessories with reinforcing ribs, which belongs to the field of automobile processing and comprises the steps of die debugging, processing parameter setting, sensor mounting, processing flow execution, processing position control, processing quality control, finished product inspection and processing parameter optimization. Important machining procedures such as notching, reinforcing rib stamping, bending, cutting-off and material returning are continuously carried out, that is, multiple procedures are completed in one die, high integration of the machining procedures is achieved, all the procedures can be closely connected, transferring and repositioning of semi-finished products among all the procedures are reduced, and the production efficiency is improved. And meanwhile, the die replacement and debugging time is shortened, the production period is shortened, the optical sensor used for monitoring the position deviation of the material belt and the piezoresistive flexible sensor used for monitoring the pressure distribution of the material belt are additionally arranged, accurate positioning of the material belt in the stamping process is achieved, and the stability of the stamping quality is ensured.

The invention relates to the technical field of data processing, and provides an error compensation method, device and equipment for shaft part machining and a storage medium, and the method comprises the steps: obtaining the measurement data of the actual size of a shaft part, calculating the deviation data, inputting the measurement data and the deviation data into a preset neural network compensation model, compensation parameters and machining stability parameters are obtained, the path of a machining tool is adjusted based on the compensation parameters, a target path machining instruction is obtained and subjected to spectral analysis, a corrected instruction is obtained and checked through the machining stability parameters, and the shaft part is machined after the target machining instruction is obtained. The actual size of the shaft part is measured, deviation is calculated, a machining path is adjusted in combination with a neural network compensation model, a machining instruction is optimized through a spectral analysis technology, and the problems that errors of dynamic changes in the machining process cannot be coped with, tremor is likely to occur in the machining process, and the part compensation difficulty is aggravated are solved. And the problem of insufficient real-time error correction exists.

The invention relates to the technical field of glass fiber reinforced plastic storage tank machining, and discloses a glass fiber reinforced plastic storage tank machining clamping device which comprises a bottom plate, a clamping mechanism is arranged on the bottom plate, and an adjusting mechanism is arranged on the clamping mechanism; the clamping mechanism comprises a rectangular sliding hole and a first motor, and the rectangular sliding hole is formed in the top of the bottom plate. It can be ensured that the glass fiber reinforced plastic storage tank is firmly and accurately fixed in the machining process, machining errors caused by shaking or shifting of the storage tank are reduced, and therefore the machining precision is remarkably improved, the position of the triangular clamping plate can be flexibly adjusted according to the glass fiber reinforced plastic storage tanks of different sizes and shapes, and the machining efficiency of the storage tank is greatly improved whether a small storage tank or a large storage tank is small or large. And the application range of the device is greatly widened, and the cost input and operation troubles caused by mismatching of equipment are reduced.

The steering knuckle multi-axis machining platform comprises a base, a rotating platform is installed in the middle of the base, a Y-axis linear motion module is installed at the output end of the rotating platform, a first sliding plate is installed at the output end of the Y-axis linear motion module, and an X-axis linear motion module is installed at the upper end of the first sliding plate; a second sliding plate is installed at the output end of the X-axis linear motion module, and a bottom plate is fixed to the upper end of the second sliding plate. Clamping plates are arranged on the front side and the rear side of the upper end of the bottom plate correspondingly, driving parts are installed between the clamping plates and the bottom plate and used for driving the two clamping plates to move relatively, and adjusting parts are installed on the sides, close to each other, of the clamping plates. According to the multi-axis machining platform for the steering knuckle, through the unique multi-layer non-collinear adjusting pieces with sliding fit and the assistance of the rubber pads at the positioning blocks, the steering knuckle is subjected to accurate shape matching positioning.

The invention relates to the technical field of component recovery, and discloses low-voltage current transformer scrap recovery processing equipment which comprises a comprehensive deslagging mechanism, the comprehensive deslagging mechanism is arranged in a top anchoring mechanism and a working bin, and the comprehensive deslagging mechanism is used for deslagging operation in the shell opening recovery process of a scrap transformer. The comprehensive deslagging mechanism is arranged on the top; and the sealing and limiting mechanism is arranged on the top of the bottom anchoring mechanism and used for equipment sealing operation in the shell opening and recycling process of the scrapped mutual inductor, and the sealing and limiting mechanism is used for arranging a diffusion assembly on the top of the sealing and limiting mechanism. Through cooperative work of a linkage sliding block, an arc-shaped positioning plate and a polygonal limiting frame, the system can accurately position and stably clamp a scrapped mutual inductor machine body to be recycled, the accuracy and repeatability of the machining process are ensured through the precise control technology, the operation efficiency and safety are improved, and the machining cost is reduced. The automation degree allows the machine to operate with less or no human intervention, and the production efficiency is improved.

The invention discloses a spinning forming device for a combustion chamber, and belongs to the field of spinning machines.The spinning forming device comprises two mounting bases and a workbench, clamping grooves are formed in the outer surfaces of the mounting bases, fixing frames are connected to the sides, transversely close to the mounting bases, of the clamping grooves in a clamped mode, mandrels are fixedly connected to the inner surfaces of the fixing frames, and guide wheels are rotatably connected to the outer surfaces of the mandrels; a lubricating assembly is arranged on the inner side of the fixing frame. By arranging the lubricating assembly, lubricating liquid is evenly smeared on the surface of the guide wheel through contact cotton, so that the friction force between the guide wheel and a metal plate can be reduced to a certain degree, abrasion of the guide wheel in the working process can be reduced, and the service life of the guide wheel is prolonged; meanwhile, scratches on the surface of the metal plate in the spinning forming process of the metal plate can be reduced, the lubricating liquid can have a certain cooling effect on the metal plate, the overheating probability caused by friction between the metal plate and the guide wheel is reduced, and then the spinning forming quality of the metal plate can be effectively improved.

The invention provides a turbine blade structure and a preparation method thereof, and relates to the technical field of turbine.The turbine blade structure comprises a mounting base, a plurality of mounting holes are formed in the outer side of the mounting base, a plurality of blades are placed in the mounting holes, and first through holes are formed in the ends, located on the inner side of the mounting base, of the blades; the first through holes are connected through connecting rings, and the connecting rings are connected through first bolt assemblies. Blades are placed in the mounting holes and then are connected through the first bolt assemblies of the connecting rings, and therefore the problems that in the background technology, blades of an existing turbine impeller are difficult to disassemble and assemble and inconvenient to maintain and periodically check and replace, the size of the blades of the existing turbine impeller cannot be adjusted, and the size of the blades cannot be adjusted are effectively solved. And the technical problem that blades with different sizes cannot be flexibly used under different use conditions of the steam turbine is solved.

The invention discloses an adsorption fixing device for a monocrystalline silicon electrode. The adsorption fixing device comprises an adsorption disc and an air suction assembly, an adsorption hole is formed in the adsorption disc, the adsorption disc is provided with a bearing surface for bearing a monocrystalline silicon electrode, an annular adsorption groove is formed in the bearing surface, and the adsorption groove is connected with the adsorption hole; the air suction assembly is communicated with the adsorption hole and is used for sucking air in the adsorption groove for the adsorption hole. The monocrystalline silicon electrode is fixed in an adsorption fixing mode, the monocrystalline silicon electrode does not need to be clamped by a clamp, and the surface of the monocrystalline silicon electrode can be prevented from being scratched when the monocrystalline silicon electrode is clamped by the clamp.

The utility model provides a door leaf four-edge saw, and belongs to the technical field of wood product processing. The automatic centering workbench is arranged on the rack in one direction, door leaves with different widths are supported, meanwhile, the upper pressing assembly is arranged on the rack and located above the automatic centering workbench, pressing of a door leaf plate placed on the automatic centering workbench is achieved, and in addition, the automatic centering workbench is arranged on the rack and located above the automatic centering workbench. The sawing parts at the two ends of the sawing assembly are arranged at the two ends of the automatic centering workbench correspondingly, meanwhile, the sawing parts on the two sides of the sawing assembly are arranged on the two sides of the automatic centering workbench correspondingly, the four edges of the door leaf plate are sawn through the sawing parts on the two sides and the sawing parts at the two ends, and the two sides and the two ends of the door leaf plate are sawn at the same time; the machining efficiency is improved, the number of side edges of the door leaf which are separately sawn is smaller, therefore, accumulation of machining errors is reduced, the machining precision of the door leaf is further improved, and the machining quality of the door leaf is improved.

The invention provides a water-cooled motorized spindle temperature advanced prediction method based on a deep learning algorithm, and the method comprises the steps: arranging a temperature sensor on the surface of a water-cooled motorized spindle, training a temperature advanced prediction network composed of a working condition feature classification module and a temperature advanced prediction module, and achieving the temperature advanced prediction of the water-cooled motorized spindle. Wherein the working condition feature classification module is composed of a support vector machine algorithm and a Platt scaling algorithm which are connected in series, and is used for predicting the start-stop state of a compressor; the temperature advanced prediction module is composed of two neural networks connected in parallel, output values of the two neural networks are added proportionally according to predicted values of the working condition feature classification module, and temperature advanced prediction of the water-cooled electric spindle is achieved. According to the method, advanced temperature prediction of the water-cooled motorized spindle is achieved, advanced prediction and reverse compensation of thermal errors of the water-cooled motorized spindle can be achieved subsequently, and machining errors caused by temperature changes are further reduced.

The invention relates to the technical field of numerical control system information processing, in particular to a curved surface numerical control machining information extraction method and device based on B-spline curved surface refactor.The method comprises the steps that after three-dimensional space position information of a curved surface machining cutter location point is obtained, cutter location point parameterization is carried out to determine B-spline curved surface parameters of a cutter positioning curved surface; determining a precision index according to the sum of squares of deviations of all cutter location points and the cutter positioning curved surface to calculate a regression matrix, determining a fairing energy index to calculate a fairing energy matrix, combining the two indexes to determine a comprehensive index, generating a curved surface reconstruction problem, solving the problem to obtain a reconstruction structure, and extracting curved surface numerical control machining information. Therefore, the problem that in the related technology, when a curved surface reconstruction algorithm processes disordered spatial discrete cutter location points, the requirements for rapidity, fairness and precision are generally difficult to consider is solved.

The invention relates to the technical field of automatic welding of metal furniture, and discloses an automatic welding method for metal furniture. The cutting side faces are flexibly selected to meet different machining requirements, the design flexibility is enhanced, and the machining efficiency and accuracy are improved. A reference side face is set to ensure accurate cutting, errors are reduced, and a solid foundation is laid for welding assembly. Intersected edges are accurately compared, cutting points are positioned, it is ensured that the cutting shape conforms to design, and structural stability is improved. The vertex position is defined, the cutting boundary is defined, a clear cutting path is formed, and the cutting accuracy is improved. The sections of the pipes are spliced and welded after cutting, so that strong connection is realized, and the structural integrity and bearing capacity are enhanced. Tangent plane coincidence is ensured, the welding quality is improved, and the connection firmness is enhanced. And measuring and adjusting after welding to ensure that the product quality reaches the standard. The process not only improves the production efficiency, but also ensures the accuracy, stability and high quality of the product.

The invention provides a laser additive manufacturing control method, device and equipment based on energy feedback. The method provided by the invention comprises the following steps: pre-fitting a first corresponding relation between laser power variation and deposition rate variation, a second corresponding relation between scanning speed variation and deposition rate variation and a third corresponding relation between light spot diameter and deposition rate variation; the current actual deposition rate is determined, and the deposition rate deviation value is determined according to the actual deposition rate and the expected deposition rate; the deposition rate deviation value serves as input of a PID control algorithm, and control output quantity is determined; determining the change direction of the laser power and the change direction of the scanning speed according to the deposition rate deviation value; determining a laser power variation, a scanning speed variation and a light spot diameter variation; and respectively adjusting the laser power, the scanning speed and the light spot diameter. The laser additive manufacturing control method based on energy feedback is used for achieving accurate control and optimization of the micro additive manufacturing process.

The present invention provides a method for predicting the thermal error of an electric spindle in advance based on a deep learning algorithm. The method collects the surface temperature and the displacement data of the electric spindle by arranging multiple temperature sensors and displacement sensors on the surface of the electric spindle, and trains a thermal error prediction network composed of a time domain convolution network, a gated loop network, and a fully connected network to achieve the thermal error prediction of the electric spindle in advance. The present invention adopts a thermal error prediction network to predict the advance amount of the thermal error of the electric spindle, and can compensate before the error occurs, thereby improving the machining accuracy and the stability of the electric spindle. At the same time, the thermal error prediction network adopts a multi-way parallel neural network and a fully connected network design, which enhances the adaptability and robustness of the model and provides a flexible solution for electric spindles of different types and specifications.

The invention discloses an intelligent recognition and positioning plate shearing machine based on vision assistance, and relates to the technical field of plate shearing machines, the intelligent recognition and positioning plate shearing machine comprises a plate shearing rack, a fixed bearing table and a positioning frame, the positioning frame is installed on the front face of the plate shearing rack, a feeding push plate is movably installed on the inner side of a feeding frame, and a plate guide-in opening frame is installed at the rear end of the feeding push plate; and the in-place detection top frame is mounted at the top of the plate guide-in opening frame. The positioning material guiding assembly is arranged above the positioning frame, a feeding air cylinder pushes a feeding push plate so that a plate can be guided into an opening frame to enter the shearing position of the plate shearing machine frame, and feeding amount collecting equipment monitors the horizontal moving distance of the plate in real time so that it can be ensured that the plate can accurately reach the shearing position; the high-precision positioning capability is beneficial for improving the shearing precision so as to reduce the generation of waste materials, the accurate feeding and positioning of the positioning material guide assembly are beneficial for realizing stable quality control, and the consistency of the plate shearing process is ensured.

The invention relates to mechanical and electrical integrated machining equipment for a Ruban mortise and tenon wood structure of an ancient building, which can automatically adjust cutting parameters according to the hardness of wood, reduce tool wear and unnecessary load while improving the machining speed and efficiency, and improve the machining efficiency by monitoring and adjusting the parallelism deviation between a cutterhead and a working platform in real time. The consistency of machining precision and product quality is ensured, the interruption time in the machining process is shortened, vibration generated when the cutter head rotates at a high speed is further reduced through dynamic balance detection and adjustment, the stability of the machining process is improved, the service life of the cutter is prolonged, the stability of the cutter in the machining process is ensured through a clamping force self-adjusting mechanism, vibration is reduced, and the machining efficiency is improved. In addition, the cooling and dust removing system effectively removes wood chips and dust generated in the machining process, the working environment is improved, the equipment maintenance cost is reduced, the service life of equipment is prolonged, and the production efficiency and the machining precision are improved through the comprehensive measures.

The invention provides an electric spindle thermal error advanced prediction method based on a deep learning algorithm, and the method comprises the steps: collecting the surface temperature of an electric spindle and the displacement data of the tail end of the electric spindle through arranging a plurality of temperature sensors and displacement sensors on the surface of the electric spindle; and training a thermal error advanced prediction network composed of the time domain convolutional network, the gating circulation network and the full-connection network to realize thermal error advanced prediction of the electric spindle. The advanced quantity of the thermal error of the motorized spindle is predicted by adopting the thermal error advanced prediction network, compensation can be carried out before the error occurs, the machining precision and the stability of the motorized spindle are improved, meanwhile, the thermal error advanced prediction network adopts the design of a multi-path parallel neural network and a full-connection network, the adaptability and robustness of the model are enhanced, and the accuracy of the model is improved. And a flexible solution is provided for motorized spindles of different types and specifications.

The utility model relates to the field of machining equipment, in particular to a brake support machining clamp which comprises a first machining station and a second machining station which are arranged in parallel, the first machining station comprises a first base, and a first fixing base and a second fixing base are fixedly arranged at the two opposite ends of the first base. The first machining station comprises a first base and a vertical plate, adjustable clamping blocks are arranged on the two sides of the first fixing base and the two sides of the second fixing base, middle supporting blocks are arranged at the opening positions of the first fixing base and the second fixing base, and bottom supporting blocks are arranged on the two sides of the middle supporting blocks. A T-shaped pressing block is arranged on the front side of the clamping supporting base, and an X-shaped pressing block is arranged on the side, away from the workpiece, of the T-shaped pressing block. Due to the adoption of the double-machining-station design, two working procedure machining actions of a workpiece can be completed after one-time clamping, the clamping time in the machining process is greatly shortened, and the clamping frequency is reduced; the clamping structure is simplified, and multiple machining procedures can be completed through one-time clamping.