14634 results about "Machine tool" patented technology

The invention relates to the technical field of collaborative optimization, in particular to a geometric parameter collaborative optimization method of a taper hole machining cutter, which comprises the following steps: by constructing a high-fidelity digital twin model, integrating multi-physics field coupling and machine tool dynamic characteristics based on a finite element method, generating a geometric parameter-performance data mapping set and training and calculating an agent model; outputting a Pareto solution set through multi-target global optimization; and constructing a constraint range based on the solution set, and calling a digital twin model to carry out local optimization to obtain an optimal geometric parameter combination. The method comprises a self-correction mechanism: correcting a material constitutive relation and a friction coefficient through experimental data; staged adaptive learning, NSGA-II and DBSCAN clustering are adopted, and the efficiency is optimized along with the method; and a Pareto stability index and transfer learning are introduced, so that the result robustness and the cross-task reusability are improved. According to the method, high-precision and high-efficiency geometric parameter collaborative optimization of the taper hole machining tool can be realized.

The invention discloses a precision compensation method of a composite numerical control machine tool, and particularly relates to the technical field of precision control of the numerical control machine tool, which comprises the following steps: synchronously acquiring temperature, vibration and force information under the driving of a unified clock through multiple types of sensors deployed at key nodes of the machine tool, and generating a synchronous multi-source sensing data set with aligned timestamps; inputting the data set into a multivariable coupling error model obtained through data driving training, and calculating and generating a comprehensive space volume error predicted value of a tool nose point of the tool; performing inverse calculation based on a machine tool kinematic chain model, and generating a multi-dimensional micro-compensation instruction set containing the compensation amount of each motion axis and the sequential relationship; and finally, dynamically writing the instruction set into a servo control ring of the numerical control system through a real-time data interface, and driving each motion shaft to execute synchronous compensation motion. According to the method, comprehensive compensation of multi-physics field coupling errors such as temperature, vibration and force load is achieved, and the machining precision and stability of the numerical control machine tool under complex working conditions are improved.

The invention provides a numerical control machine tool dynamic precision control method and system based on multi-axis linkage error compensation, and relates to the technical field of mechanical manufacturing, and the method comprises the steps: collecting shaft system motion parameters and real-time cutting load parameters of a multi-axis numerical control machine tool in a linkage machining process in real time; shafting motion parameters comprise displacement, speed and acceleration of each feed shaft, and cutting load parameters are obtained through inversion of main shaft current and servo driving torque; calculating a dynamic following error of each feed shaft in a linkage state based on the shaft system motion parameters; and carrying out load coupling correction on the dynamic following error by fusing real-time cutting load parameters to obtain an initial multi-axis linkage dynamic error. According to the invention, real-time precision control in the high-dynamic machining process can be realized.

The invention discloses a free-form surface three-axis ball-end cutter equal approximation error finish machining tool path generation method which comprises the following steps: firstly, importing a free-form surface model to be machined, and setting data such as the radius, the line spacing, the approximation error maximum allowable value and the precision of a ball-end cutter; secondly, a group of section planes are planned according to the row spacing to intersect with the curved surface, the intersecting line serves as a cutter contact curve, and an equal-bow-height-error cutter contact iterative search method for driving cutter contact adjustment through the geometric distance is provided for the cutter contact curve on the section planes; the maximum distance between a cutter cutting envelope surface and a cutter contact track line is used as an approximation error, and an adaptive discrete method is adopted to carry out approximation error calculation; and finally, the cutter location points of the equal-bow-height-error cutter contact points serve as initial values, an equal-error cutter location point calculation method of step length self-adaptive adjustment iteration is provided, approximation errors between the cutter location points are all within an allowable range, and therefore the free-form surface three-axis ball-end cutter equal approximation error finish machining cutter path is obtained.

The invention discloses a metal grinding machine tool grinding wheel wear compensation type intelligent control system, and relates to the technical field of mechanical manufacturing automation, and the system comprises a contact type reference detection module which is used for obtaining the initial contour and reference wear loss of a grinding wheel through discrete point measurement in a non-machining state; the multi-parameter non-contact real-time detection module is used for collecting acoustic emission, vibration and spindle current signals in the grinding process through three types of sensors; the grinding environment sensing module collects the temperature of a grinding area and the cutting fluid concentration; the intelligent control unit receives reference data and an environment signal, performs deep learning on a wear loss prediction model after multi-source data fusion, performs periodic reference calibration, analyzes the dynamic wear loss, and synchronously transmits the data to the data storage and tracing module; the executing mechanism adjusts grinding wheel feed amount compensation according to the dynamic abrasion loss; and the data storage and tracing module stores full-process data in real time. According to the system, high-precision and real-time wear compensation is achieved, the machining precision and consistency are improved, and high-end manufacturing requirements are met.

The invention relates to the technical field of numerical control machining monitoring, in particular to a tooth deviation high-precision monitoring system in a tooth cutting machining process, which comprises an online measurement module, a dynamic compensation module, a deviation calculation module and a result output module which are in signal connection with a numerical control system of a tooth cutting machine tool, the online measurement module, the dynamic compensation module, the deviation calculation module and the result output module are integrated on the processing element; the processing element is used for obtaining workpiece design parameters and constructing a theoretical workpiece model, the online measurement module is used for collecting tooth surface point cloud data in real time in the machining process, the dynamic compensation module is used for correcting vibration errors and temperature errors of the point cloud data, and the deviation calculation module is used for quantifying tooth surface deviation values. And the result output module is used for generating an early warning signal and a dynamic correction instruction and executing system self-calibration. The device and a numerical control system form a closed loop of machining, monitoring, correction and remachining, and finally high-precision real-time monitoring and dynamic correction of tooth deviation are achieved.

The invention relates to the technical field of machine tool fault diagnosis and maintenance, and discloses a machine tool fault predictive maintenance method based on vibration analysis, which comprises the following steps: collecting vibration, temperature and acoustic emission signals and machine tool working condition parameters through a multi-modal sensor, extracting multi-domain features after preprocessing the vibration signals, and combining the working condition parameters through feature fusion and dimension reduction to obtain a machine tool fault predictive maintenance result. And establishing a fault classification model by using transfer learning, and performing hierarchical optimization. Model parameters are updated in real time based on an online learning mechanism, a fault early warning agent model is constructed to predict fault probability distribution, a dynamic threshold strategy is designed to avoid false report and missing report, and finally, related models and strategies are integrated to edge computing equipment. According to the method, multi-source data are integrated, multiple advanced algorithms are applied, machine tool faults can be accurately predicted, real-time monitoring and maintenance decision output are achieved, the machine tool operation reliability is improved, and the maintenance cost is reduced.

The invention provides a five-axis series-parallel numerical control machine tool machining process virtual monitoring simulation method and system based on digital twinning, and the method comprises the steps: building an information interaction mechanism between a physical machine tool and a digital twinning model, enabling a server side to collect sensor data, and transmitting the real-time data to a client side through a communication protocol; the client processes the data and drives the digital twin model. And aiming at potential errors of twin system forecast, tool setting error compensation can be carried out in real time, so that the machining precision is improved. Meanwhile, the system supports an offline simulation function, combines an inverse kinematics algorithm and an NC code, fuses a material removal model, simulates a machining process, evaluates machining performance and errors, and provides an optimization basis for machining strategies of workpieces with different geometrical shapes and materials. According to the method, bidirectional interaction between the physical entity and the virtual model is achieved, the real-time monitoring and visualization capability of the machining process is enhanced, a reliable simulation evaluation and optimization means is provided for machining of complex parts, and the method has wide industrial application prospects.

The invention discloses an automatic machine tool cooling liquid supplementing device based on a liquid level sensor, which is applied to the technical field of automatic machine tool cooling liquid supplementing and comprises a liquid supplementing mechanism and a liquid level detection mechanism, the liquid level detection mechanism is arranged on one side of the liquid supplementing mechanism, and the liquid level detection mechanism is in pipeline connection with the liquid supplementing mechanism; the liquid supplementing mechanism comprises a machine body, a control cabinet and a four-way pipe, and the control cabinet is in signal connection with a liquid supplementing system; the liquid level detection mechanism comprises a circulating box, a fifth liquid supplementing pump, a liquid level sensor, a buffering assembly and a cleaning assembly, the buffering assembly and the cleaning assembly are both located in the fine filtrate area, and a concentration sensor is fixedly connected to the interior of the circulating box; the buffer assembly comprises two sets of limiting blocks and a plurality of fan wheels, the cleaning assembly comprises an air cylinder, a cleaning rod and a motor, the bottom of the cleaning rod is arranged to be in a semicircular shape matched with the radius of a floating ball of the liquid level sensor, and automatic and accurate control over cooling liquid can be achieved.

The invention relates to the technical field of numerical control programming, in particular to a five-axis machining path planning method and system based on data driving, and the method comprises the following steps: obtaining real-time coordinates of each axis of a machine tool, calculating linear velocity and angular velocity components to construct a Jacobian matrix, executing singular value decomposition, and calculating a conditional number ratio by using maximum and minimum singular values; and inputting a nonlinear mapping function to calculate a dynamic penalty factor, generating a rotating shaft weighted item in combination with a rotating shaft identifier, constructing a weighted damping least square objective function, calculating a five-axis motion increment, and accumulating the five-axis motion increment with a real-time coordinate to generate a target absolute position coordinate. According to the method, the pose singularity degree is quantified by monitoring the machine tool pose condition number ratio and converted into the dynamic penalty factor to apply the self-adaptive constraint to the rotating shaft, the severe sudden change of the rotating shaft in the singularity area is inhibited, the tool nose track following error is minimized, and meanwhile smooth distribution of the motion increment is achieved; and the dynamic stability and the surface quality of five-axis linkage machining are improved.

The invention provides a dynamic cooperative speed regulation control system and method for a machine tool spindle and a feed shaft, and the method comprises the steps: building a spindle energy transmission model and a feed shaft load-motion model, and constructing a strong correlation coupling relation between the two through cutting power; collecting main shaft power, torque and rotating speed and feed shaft cutting force, acceleration and displacement data in real time, and fusing to generate a combined state vector; calculating spindle margin and time correction based on spindle actual power and torque, and identifying working condition abrupt change according to the joint state vector; the feeding speed and the cutting depth are dynamically adjusted with the spindle margin sum as the constraint condition, and a cooperative adjustment strategy is generated; and converting the cooperative adjustment strategy into a feed shaft motion instruction and executing the feed shaft motion instruction. By constructing a real-time coupling closed loop of'spindle power-torque-rotating speed 'and'feed shaft speed-acceleration-position', the spindle is always locked to operate in a maximum power-torque envelope efficient area, the speed of the feed shaft is dynamically adjusted according to the spindle margin, locked rotor is completely eradicated, and no-load is eliminated.

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 relates to the technical field of numerical control lathe machining, in particular to a numerical control lathe cutting parameter optimization method and system. The method comprises the following steps: receiving a processing task for batch workpieces, dividing processing batches in the processing task, and determining a detection processing step; in the detection machining step, cutting process signals and machine tool machining parameters of a machine tool are collected and detected in real time; based on the cutting process signals and the corresponding machine tool machining parameters, an expected stable signal interval is dynamically established, and transient impact events are recognized and quantified; performing statistics and normalization processing on the transient impact events to generate risk assessment information; sharing risk assessment information with other machine tools in a machining batch range; and according to the risk assessment information, cutting parameters of the subsequent machining steps are adjusted in advance, and after the pre-adjustment is completed, machining of the batch of workpieces is executed. The problem that production efficiency and stability are reduced due to the fact that information of an existing numerical control lathe is not shared in a multi-machine-tool cooperative machining scene is solved.

The invention relates to the technical field of numerical control system fault pre-diagnosis, and particularly discloses a fault monitoring method and system for a numerical control machine tool. The method comprises the steps that a spindle vibration signal, a cutting force signal and a spindle current signal are collected; outputting an alignment signal set; respectively executing adaptive filtering processing according to the alignment signal set; constructing a multi-dimensional feature vector; constructing a health index under the processing behavior period; then accumulated trend deviation analysis is executed through a CUSUM algorithm; and judging whether the tool wear trend is abnormal. The technical problem that in the prior art, static threshold judgment is carried out based on a single signal source, and especially in a numerical control machining scene with signal noise interference, accurate early warning of the early wear trend of a tool cannot be achieved is solved. Due to the fact that a period calibration mechanism fusing spindle vibration, cutting force and current signals, feature vector entropy weight optimization and a CUSUM trend detection mechanism are adopted, the pre-diagnosis level of the numerical control machine tool on cutter state changes is improved.

The invention discloses a scrap iron removing device for waste cutting fluid separation, and relates to the technical field of machine tool machining, the scrap iron removing device comprises a settling tank, an L-shaped flow slowing plate is arranged on the inner side of the settling tank, a liquid flowing channel exists between one side of the L-shaped flow slowing plate and the inner side wall of the settling tank, and inclined plates are fixedly arranged on the lower side of the L-shaped flow slowing plate at equal intervals; the inclined plates incline downwards towards the sides away from the liquid flowing channel, overflow notches are formed in the sides, away from the liquid flowing channel, of the settling tanks, the overflow notches are formed in the upper sides of the inclined plates, and defoaming mechanisms are arranged on the lower sides of the L-shaped flow slowing plates; in a narrow space between the inclined plates, the defoaming net shakes repeatedly, the surface tension of foam and an oil film is quickly destroyed through segmentation and friction effects, and metal scraps released by foam breakage quickly sink under the action of the inclined plates, so that the purposes of quickly eliminating the foam and precipitating the metal scraps are achieved, the settling time is greatly shortened, and the service life of the defoaming net is prolonged. And the foam is prevented from entraining a large amount of metal chippings to enter a follow-up circulating pipeline to increase follow-up pressure.

The invention relates to the technical field of machine tool performance analysis, and provides a machine tool functional part performance analysis method and system based on big data. Multi-source operation information, including a vibration signal, a temperature signal, a motor current signal, an acoustic emission signal and working condition information, of functional parts of a machine tool is collected, and machine tool operation performance indexes are determined based on the information; and when any index exceeds a normal interval under the current working condition, the system can judge that the functional part of the machine tool is preliminarily abnormal, multi-dimensional abnormal information is constructed according to the working condition information, the vibration information and the temperature information, the fault risk level is determined according to the multi-dimensional abnormal information, and finally early warning information is sent and user feedback is acquired. Therefore, the problem of false alarm caused by non-fault factors such as tool wear in the prior art is effectively solved, and the difficulty that the credibility of an operator to early warning information is reduced is avoided.

The invention discloses a self-adaptive dynamic control method and system for the machining process of a numerical control machine tool, and relates to the field of intelligent control, and the method comprises the steps: collecting machining data in real time through physical and virtual sensors, and constructing a standardized data set after layering preprocessing; a CNN-LSTM hybrid model is utilized to extract spatial-temporal characteristics to realize working condition classification, and an NSGA-II algorithm is combined to solve a multi-objective optimization problem to generate an optimal control parameter solution set; parameters are dynamically adjusted through fuzzy PID, and a GRU model is adopted to predict machining errors for feed-forward compensation, so that closed-loop control of perception-decision-execution-feedback is formed. The system continuously monitors the actual machining deviation, parameters are optimized again when the actual machining deviation exceeds a threshold value, and cooperative improvement of machining precision and efficiency is achieved. The method has the advantages that NSGA-II multi-target optimization, fuzzy PID correction and GRU error prediction compensation are recognized through CNN-LSTM working conditions, closed-loop feedback iteration is combined, the machining precision and efficiency are improved in a balanced mode, the service life of a tool is prolonged, and the method is suitable for complex working conditions.

The invention provides a cutting tool wear state identification and residual life prediction method based on a digital twinning technology, and relates to the technical field of intelligent tool health. The method comprises the following steps: constructing a cutting process physical model consistent with a machine tool-tool-workpiece system and process parameters, generating a virtual monitoring signal and a virtual degradation track, and comparing the virtual monitoring signal and the virtual degradation track with actually measured data of a multi-source sensor to form virtual-real synchronous monitoring residual features; constructing a likelihood function based on the residual error, and jointly calibrating cutter individual and material parameters through Bayesian updating to obtain an updated digital twinborn model accurately matched with the current working condition; on this basis, a corrected state discrimination model is constructed, stable recognition of the tool wear state is achieved, a random degradation process model is adopted for quantitative prediction of wear evolution and residual life, and the accuracy and robustness of tool health monitoring and life prediction are effectively improved.

The invention discloses a horizontal eight-axis five-linkage turning and milling composite machine tool based on a hybrid robot, and belongs to the technical field of high-end equipment manufacturing. According to the technical scheme, the horizontal eight-axis five-linkage turning and milling composite machine tool based on the hybrid robot comprises a machine tool body, and a tool turret mechanism, a workpiece fixing mechanism and a hybrid robot mechanism are sequentially arranged on the side of the machine tool body from bottom to top; the tool turret mechanism comprises a left lower tool turret assembly and a right lower tool turret assembly which are symmetrically arranged on the two sides of the machine tool body. Eight-axis five-linkage machining is achieved through cooperative movement of the symmetrical tool turret assembly and the lifting control mechanism, the self-adaptive supporting assembly and the hybrid robot mechanism are combined, and the problems that a traditional machine tool is insufficient in linkage capacity, poor in workpiece supporting stability and low in automatic cooperative efficiency are solved; the multi-axis linkage machining center has the advantages of being high in machining efficiency, high in supporting stability, excellent in multi-axis linkage precision and outstanding in automatic cooperation capacity.

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 the technical field of gang drills, in particular to a numerical control gang drill device which comprises a machine tool body, a telescopic assembly is arranged in the machine tool body, the output end of the telescopic assembly faces downwards and is connected with an extrusion block, and a storage plate is arranged at the position, below the telescopic assembly, in the machine tool body. One side of the machine tool body is connected with a gang drill plate through an air cylinder, and the side, facing the machine tool body, of the gang drill plate is evenly connected with a plurality of through drill seats. According to the device, a second clamping block and a first laser distance measuring sensor are arranged, the first laser distance measuring sensor can detect the distance value between a drill bit and an extension block at different positions of the drill bit, and the distance value between the drill bit and the extension block can be detected in the mode that the drill bit rotates; the detected distance value is uploaded to a background control system to be compared with a standard data value, and if the detected data value exceeds a standard data value interval, it is indicated that the drill bit deforms.

The utility model discloses the field of agricultural machinery, and particularly relates to a spraying machine tool and an all-terrain spraying vehicle, the spraying machine tool comprises a hollow shell, a visual identification device and a spraying device are arranged on the two sides of the shell in the width direction respectively, the visual identification device comprises a supporting rod, the supporting rod extends in the height direction of the shell, and the spraying device is arranged on the supporting rod. A camera is arranged at one end of the supporting rod, the other opposite end of the supporting rod is connected with the shell, the spraying device comprises a water pipe, the water pipe extends in the height direction of the shell, a signal control switch valve is arranged on the water pipe, a spraying pipe is connected to the top of the water pipe, and a plurality of nozzles are arranged on the spraying pipe at intervals. According to the utility model, the visual identification device and the spraying device are arranged, and the visual identification device is used for judging whether spraying is carried out or not, so that the pertinence is stronger during spraying, the investment of labor cost can be reduced, the physical and psychological health of staff is greatly maintained, and the spraying device is simple in structure and convenient to popularize.

The utility model relates to the field of machine tools, in particular to a rotary table brake device and a machine tool, the rotary table brake device comprises a base, a rotating shaft, a working table, a brake assembly, a braking oil way and a reset structure, the brake assembly comprises a brake disc, a brake cylinder body, a brake piston and a brake pad, and a cavity is formed between the brake disc and the brake cylinder body; the brake piston is located in the cavity and divides the cavity into a first cavity and a second cavity which are not communicated, a preset gap is formed between the upper end of the brake disc and the lower side portion of the brake piston, one side of the brake pad is fixed to the rotating shaft, and the other side of the brake pad is located in the preset gap. The braking oil way is communicated with the first cavity to achieve braking of the rotary table, the reset structure is located in the second cavity or connected with the second cavity to achieve reset after braking, the rotary table braking device is simple and compact in overall structure, accurate braking can be achieved during braking, rapid and stable recovery can be achieved during resetting, and the service life of the rotary table is prolonged. And the stability and reliability of machine tool turntable operation are effectively improved.

The invention discloses a numerical control machine tool device convenient for changing the cutting angle of a cutter, and relates to the technical field of numerical control machine tools, the numerical control machine tool device comprises a main body structure, the main body structure comprises a machine tool body, one side of the top of the machine tool body is fixedly connected with a three-jaw chuck, one side of the three-jaw chuck is provided with a cutter rest, and the bottom of the cutter rest is fixedly connected with a cutter table; the centering assembly comprises a fixing bolt connected to the top of the tool rest in a threaded mode, and the surface of the fixing bolt is rotationally connected with a connecting plate. The centering assembly is used for replacing manual visual alignment, tool positioning is achieved, the tool positioning state can be switched under the conditions that a tool rest is not aligned, and the tool is obliquely installed due to abrasion, the tool can be obliquely installed according to actual requirements, and therefore the cutting angle can be conveniently adjusted and changed; and a cutter pushing-in-dust removal linkage mechanism is achieved through the dust removal assembly, so that it is guaranteed that the fixing bolt can be tightly attached to the top of the cutter when being fastened, the cutter can be ejected out in an auxiliary mode when the cutter is disassembled, and use convenience is improved.

The invention discloses a five-axis machining tool path planning method for a complex curved surface, and relates to the technical field of numerical control machining. Subregions are divided based on the Gaussian curvature of a curved surface model, and a region equation is fitted; projecting the sub-regions and screening to obtain a boundary point set, fitting a curved surface equation by adopting cubic NURBS, and performing normal vector and curvature constraint optimization to splice an optimal curved surface equation; setting a section plane, calculating a section curve, calculating an arc length based on a Simpson formula, and planning a track point coordinate sequence according to the curvature; constructing a spiral equation of adjacent section planes, calculating a spiral step length based on a Simpson formula according to a position and tangent continuous constraint solving coefficient, and generating a cross-plane track point sequence; in the section plane, based on lossless and cutting direction constraints, an optimal angle sequence is obtained through optimization of a genetic algorithm, and a cross-plane angle sequence is obtained through cosine interpolation; and a machining pose sequence is generated through integration, and high-precision machining of the complex curved surface is achieved.

The invention discloses a numerical control machine tool vibration suppression self-adaptive control system and method, and relates to the technical field of intelligent vibration control, and the method comprises the steps: building a current-modal dynamic mapping relation between an electrical drive characteristic and a mechanical structure modal response based on a vibration state feature vector; real-time machine tool modal state vectors are obtained through online recursive estimation; the machine tool modal state vector is used as a boundary condition to be injected into the virtual prediction model; solving to obtain an optimal control parameter sequence and a corresponding vibration prediction result in a future time domain by taking multi-performance index collaborative optimization as a target through a rolling optimization control strategy; translating the control parameter sequence into a specific execution instruction and issuing the specific execution instruction; monitoring an execution process in real time and recording actual response data; according to the method, the accuracy of vibration prediction and the real-time performance of control response are improved by establishing the dynamic mapping relation from the electromagnetic driving characteristics of the servo main shaft and the feed motor to the dynamic response of the machine tool structure.

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 relates to the technical field of intelligent manufacturing, and discloses an industrial processing production line adaptive control method and system based on reinforcement learning. The method comprises the following steps: collecting a processing monitoring signal and environment state data to construct a comprehensive processing state vector; deducing the comprehensive processing state vector by using a preset depth time sequence learning model to obtain an error evolution trend vector; determining an initial strategy parameter and a strategy matching state according to the error evolution trend vector; according to the strategy matching state and the initial strategy parameter, parameter iteration optimization based on a preset comprehensive error prediction model is carried out, and a target compensation control quantity is obtained; machine tool dynamics constraint verification is carried out according to the target compensation control quantity, and a final compensation instruction set is obtained; and performing instruction mapping and execution according to the final compensation instruction set to obtain processing feedback data, and performing reinforcement learning updating on the model based on the processing feedback data. According to the invention, high-precision self-adaptive compensation under complex dynamic working conditions can be realized.

The application discloses a kind of through tool turret-lathe tool ultra-low temperature medium internal spray type cooling numerical control lathe, including inclined bed lathe host, ultra-low temperature medium heat insulation transmission control system, ultra-low temperature medium internal spray type tool turret and ultra-low temperature medium internal spray type lathe tool.The ultra-low temperature medium internal spray type tool turret and ultra-low temperature medium internal spray type lathe tool realize that ultra-low temperature medium is transported to the cooling of tool tip by the inner cavity channel of tool turret-tool, solve the integration problem of liquid nitrogen internal spray type cooling function and conventional lathe structure;Ultra-low temperature medium internal spray type lathe tool tail end uses telescopic transmission pipe, realizes the directional supply of ultra-low temperature medium to working lathe tool when automatic tool changing;Ultra-low temperature medium transmission pipeline passes through from the spindle center of ultra-low temperature medium internal spray type tool turret, and adopts vacuum heat insulation structure, without affecting original structure, ensure the heat insulation transmission of medium;Ultra-low temperature medium control system and the integration of numerical control machine tool, realize the stable controllable of pressure and flow in ultra-low temperature medium transmission process.

The invention discloses a milling process vibration state monitoring method and system for a machine tool milling cutter, and belongs to the technical field of intelligent monitoring. The method comprises the following steps: acquiring a vibration signal of a milling cutter under a reference processing condition, and establishing a reference template containing normal vibration characteristics; dynamically adjusting an alarm threshold value, and starting fault diagnosis analysis; performing envelope spectrum analysis on the vibration signal triggering diagnosis; preliminarily judging the affiliation fault type of the abnormal vibration through a preset fault classification model; and carrying out association verification by combining the attribution fault type and the spatial position information when the abnormality occurs, confirming the root cause of the fault, and outputting a targeted classification alarm instruction. According to the invention, the cutter handle single sensor is linked with phase slicing and dynamic threshold and coordinate verification, so that the faults of the cutter, the cutter rest and the workpiece are accurately distinguished and directionally alarmed, and the problems that a fault source cannot be distinguished by a single channel and the false alarm rate is high in the prior art are solved.