959 results about "Numerical control system" patented technology

The invention relates to the technical field of program control systems, in particular to a pentahedron machining center precision calibration method and system based on multi-sensor fusion, and the method comprises the steps: a sensor system construction and calibration module is used for field calibration, drift correction and redundancy deployment to ensure data precision, and achieves the whole-course traceability of a calibration process through a block chain technology; the multi-source data preprocessing and fusion module is used for time-space synchronization of heterogeneous data and dynamic fusion of multi-source information; the intelligent modeling and state prediction module is used for performing real-time and multi-task prediction on key states such as tool wear and thermal deformation; based on the prediction result, the adaptive compensation and path optimization module is used for dynamically optimizing the tool path; meanwhile, through an online learning mechanism, the calibration model is continuously updated by utilizing a processing result; the distributed cooperative control module executes data processing and calibration algorithms locally and makes a cooperative decision with a numerical control system, and low-delay and intelligent response to machining abnormity is achieved.

The invention relates to the technical field of numerical control machine tools, in particular to a five-axis machining center real-time thermal error compensation system based on digital twinning and a medium. Firstly, a data acquisition unit is used for acquiring physical actual measurement data in real time; then, the digital twin processing unit constructs a model set used for representing the thermal dynamic behavior of the five-axis machining center, and the model set is composed of a plurality of virtual thermal model members; thirdly, fusing physical measured data into the model set through a data assimilation algorithm to dynamically correct the state of each model member and predict the thermal error of the machine tool; the prospective compensation decision-making unit receives the thermal error prediction result output by the digital twinning processing unit and generates a prospective compensation instruction; and finally, the compensation execution unit issues the prospective compensation instruction to a numerical control system of the five-axis machining center for real-time adjustment. The control precision of real-time thermal error compensation of the five-axis machining center can be improved.

The invention relates to the technical field of machining precision control, in particular to a laser carving precision control method and system.The laser carving precision control system comprises a feature collecting unit, a model building and analyzing unit, a dynamic threshold value adjusting unit and an online incremental learning unit, and the feature collecting unit collects vibration, current and temperature data through a multi-source sensor array; the model construction analysis unit realizes dynamic prediction of processing parameters by combining a bidirectional long-short-term memory network with an attention mechanism, and the dynamic threshold adjustment unit dynamically updates parameters of a numerical control system based on a material hardness real-time detection and thermal coupling model. The online incremental learning unit automatically generates training samples through error data, continuously optimizes model parameters and constructs a'data acquisition-intelligent modeling-dynamic compensation-model evolution 'closed loop, so that accurate prediction and adaptive adjustment of machining parameters are realized, and the adaptability of the manufacturing process to multi-variety and small-batch working conditions is remarkably improved.

The invention discloses a dynamic control method for a complex curved surface five-axis numerical control machining tool vector, which comprises the following steps of: scanning the surface of a target workpiece by using a high-precision three-dimensional scanner to obtain point cloud data; based on the point cloud data, establishing a mathematical model S (u, v) of the target complex curved surface; a mathematical model based on the target complex curved surface; establishing a comprehensive dynamic model of the five-axis numerical control system; optimizing the initial tool posture in combination with the kinetic model; collecting dynamic operation data of the cutter and the workpiece; on the basis of the dynamic operation data, a model predictive control (MPC) algorithm is used for adjusting the machining path and the cutter direction in real time; according to the method, a comprehensive dynamic model of a five-axis numerical control system is established, dynamic coupling effects of a machine tool kinematic chain, cutter flexibility, cutting force, a temperature field and a stress field are brought into a unified framework, and complex dynamic behaviors are accurately described and controlled through multi-body dynamic modeling and an optimization algorithm.

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 discloses a dynamic error real-time compensation method and system for a heavy-load vertical machining center, and belongs to the technical field of high-end numerical control equipment, precision manufacturing and intelligent control. Inputting the state vector into a dynamic error model to solve a three-dimensional space dynamic error vector; processing the error vector to generate a real-time compensation instruction; a compensation instruction is injected into the numerical control system to correct the machining track online; and obtaining a real error to update the dynamic error model on line. According to the method, the technology of combining multi-physics field data fusion and a neural network agent model is adopted, frequency decoupling and dual-channel compensation injection are performed on errors, and an online model self-optimization feedback closed loop is established, so that real-time and high-precision compensation on multi-source coupling dynamic errors such as thermal-induced and force-induced multi-source coupling dynamic errors can be realized; and the limit machining precision and stability under the heavy-load machining condition are remarkably improved.

The invention belongs to the technical field of fault diagnosis, and particularly discloses a numerical control system fault diagnosis method and system based on knowledge injection, and the method comprises the steps: carrying out the fault diagnosis based on an RAG frame, the RAG frame comprises a knowledge base and a large model, the knowledge base is a knowledge graph constructed based on the fault diagnosis historical data of a numerical control system, and the large model is a knowledge graph constructed based on the fault diagnosis historical data of the numerical control system; retrieving a fault path related to the user question from the knowledge base, and then comprehensively retrieving the fault path and the user question by a large model to generate a fault diagnosis result; after each fault diagnosis, judging whether a user problem is solved, and if the user problem is solved, directly adding a fault path into a feedback database; if not, adding the problem fed back by the engineer into a feedback database in combination with the fault path and the feedback knowledge of the engineer; and performing knowledge injection on the large model through the data in the feedback database, and updating the knowledge graph. According to the method, continuous learning optimization of a large model and a knowledge base can be realized, and the fault diagnosis accuracy is improved.

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 tools, and particularly discloses a gantry machine tool overall real-time thermal error compensation method based on CNN-BIGRU-A. The gantry machine tool overall real-time thermal error compensation method comprises the steps that historical temperature data and historical thermal deformation data of a main shaft and a transmission shaft are obtained; constructing a thermal error prediction model, and training the thermal error prediction model according to the historical temperature data and the historical thermal deformation data to obtain a trained thermal error prediction model; transmitting the current temperature data of the main shaft and the transmission shaft to the trained thermal error prediction model to output a current thermal error compensation value of the main shaft and a current thermal deformation calculation value of the transmission shaft; the machine tool numerical control system calculates the current thermal error compensation value of the target position point according to the coordinate of the target position point on the transmission shaft; and the machine tool numerical control system performs compensation according to the current thermal error compensation value of the main shaft and the current thermal error compensation value of the target position point on the transmission shaft. According to the invention, a high-frequency and high-synchronization compensation strategy can be realized.

The invention discloses a numerical control machine tool efficient cutting method based on real-time surface roughness prediction. Firstly, acquisition and storage of internal information of an external sensor and a numerical control system machine tool are realized through data acquisition software developed by a numerical control machine tool type; the surface roughness of the part is predicted through data preprocessing, multi-source data feature extraction and fusion and a prediction model; and in the part machining process, data are collected and input into the model for real-time prediction and machining parameter adjustment, so that the cutting efficiency is improved on the premise of ensuring certain quality of the part, and the optimal parameters are stored in the knowledge base. The defects that the quality is uncertain in the part production process of the numerical control machine tool and manpower needs to be consumed for surface roughness detection after production is completed are effectively overcome, the knowledge base can provide optimal cutting parameters for production of various parts, and the method has great benefits on improving the production efficiency on the premise of ensuring certain quality of the parts.

The invention relates to an intelligent CNC (computer numerical control) machining method which comprises the following steps: dynamically monitoring a tool-workpiece interaction interface in a CNC machining process through a multi-dimensional torque sensor array to obtain a machining process feature data set, and analyzing a tool motion track in real time to obtain a tool motion state feature quantity; secondly, performing multi-scale analysis by adopting a wavelet packet decomposition technology, and determining processing quality evaluation data; and if the data does not reach the preset standard, performing microstructure reconstruction on the surface of the workpiece based on the data, and generating a workpiece processing state characteristic spectrum. Then, comprehensively analyzing the atlas by utilizing a multi-objective optimization technology to obtain a processing parameter optimization sequence; and finally, implementing closed-loop feedback control on the numerical control system according to the optimized sequence, and generating a real-time processing control instruction. The key problem of how to improve the automation level and the machining precision in the CNC machining process through an intelligent means is solved.

The invention relates to a numerical control machine tool spindle thermal error modeling method and device, and the method comprises the steps: measuring the temperature change data of a numerical control machine tool spindle, and synchronously obtaining the thermal error data of the spindle at different rotating speeds; determining temperature sensitive points based on the acquired temperature data and thermal error data, and randomly selecting a training set and a test set; building a gradient feature enhancement network, training the gradient feature enhancement network by using the training set data to construct a main shaft thermal error prediction model, and performing main shaft thermal error prediction by using the test set data; communication between the thermal error compensation system and the numerical control system is realized, and main shaft thermal error compensation is completed based on the main shaft thermal error compensation value, so that the performance and prediction accuracy of the main shaft thermal error prediction model are effectively improved.

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 relates to the technical field of numerical control, in particular to a steel laser cutting numerical control system and method based on the Internet of Things. The method comprises the following steps: collecting three-dimensional temperature distribution data of a lens group in real time, and obtaining actual position coordinates of a laser focus through a displacement sensor; establishing a thermal deformation focus offset mapping table based on the corresponding relationship between the three-dimensional temperature distribution data of the lens group and the actual position coordinates of the laser focus; in the continuous machining process, workshop environment temperature and humidity parameters are monitored in real time, the thermal deformation amount of the lens set is predicted according to the workshop environment temperature and humidity parameters based on the thermal deformation focus offset mapping table, and the laser focus position is compensated and adjusted according to the thermal deformation amount of the lens set. The problems that an existing numerical control system can only calibrate linear deformation and lacks dynamic correction capacity for focus three-dimensional offset caused by nonlinear thermal creep of the lens set are effectively solved, and the influence of environment change on machining precision in the machining process can be coped with in real time.

The invention relates to an intelligent avoiding control method for machining of a numerical control flanging machine. Comprising the following steps that before machining, a correct machining program is compiled on a human-computer interface according to an actual workpiece drawing or a real object forming process; the numerical control system analyzes a machining program to obtain data necessary for a position avoiding algorithm, machining is started, and in a bending forming rectangular coordinate system, pole coordinate values of a current forming shape are automatically calculated in real time; in the continuous machining process, the target positions and the action time sequence of a feeding shaft, a pressing shaft and an edge folding shaft of the edge folding machine in the next step are correctly adjusted, so that a workpiece and an edge folding machine die are prevented from interfering and colliding, and meanwhile set process actions are completed. According to the control method and the numerical control system, the forming shape and related coordinate data of the workpiece can be obtained in real time, the mutual positions of the workpiece, the machine tool moving part and the mold are adjusted in time through the process control instruction, and interference and collision of the workpiece, the machine tool and the mold are correctly avoided.

The invention provides an adjustable numerical control program mistake-proof machining method, device and system and a storage medium, and relates to the technical field of numerical control, and the machining method comprises the steps that a machining three-dimensional model of a to-be-processed workpiece is established through a simulation unit; based on the machining three-dimensional model, initial tool path parameters are determined; simulation is carried out according to the initial tool path parameters, a simulation result is obtained, and the result comprises virtual margin distribution. And adjusting the initial tool path path parameters according to the virtual margin distribution so as to determine actual machining path parameters. And rough machining is conducted on the to-be-treated workpiece according to the actual machining path parameters, and the treated workpiece is obtained. And the actually-measured allowance of the processed workpiece is obtained, machining parameters of the numerical control system are determined based on the actually-measured allowance according to a preset optimization algorithm, and finish machining is conducted according to the machining parameters. By establishing the three-dimensional model and analogue simulation, potential problems can be recognized in advance, errors occurring in the actual machining process are reduced, and therefore the machining precision of a final product is improved.

The invention belongs to the technical field of numerical control machine tool control, and discloses a deep groove ball bearing ring grinding error compensation method and system, and the method comprises the steps: monitoring the temperature of a numerical control grinding machine body and a main shaft in real time through a plurality of temperature sensors, and obtaining the temperature field distribution data of a numerical control grinding machine; according to the numerical control grinding machine temperature field distribution data, the temperature gradient of each temperature measurement position is calculated; comparing each temperature gradient obtained by calculation with a preset temperature gradient threshold value, and judging whether a temperature measurement position with the temperature gradient exceeding the temperature gradient threshold value exists or not; when the temperature measurement positions with the temperature gradients exceeding the temperature gradient threshold exist, error compensation parameters of the numerical control system are determined according to the temperature gradients of all the temperature measurement positions, and the grinding machining track and grinding parameters are corrected; therefore, the grinding precision of the deep groove ball bearing ring can be improved.

The invention discloses a composite slewing bearing soft belt grinding machine tool, and belongs to the technical field of slewing bearing grinding. A composite slewing bearing soft belt grinding machine tool comprises a split rotary table which is horizontally placed on the ground, the split rotary table comprises a driving sliding table and two auxiliary power sliding tables, the split rotary table is arranged at the radial position of a machined workpiece, the three sliding tables are arranged at fixed angles, and the auxiliary power sliding tables are arranged on the driving sliding table. The base is used for placing, clamping and rotating a machined workpiece; the machine tool is mounted on the front side of the split rotary table; and the rotating mechanism is mounted in the moving tail end area of the machine tool. According to the scheme of the machine tool, the idea of multiple degrees of freedom of the robot is continued, the machining end is provided with an upper B shaft and an upper C shaft, more machining poses are expanded through five servo shafts, and multifunctional composite grinding is achieved. The rotary table is suitable for polishing and arranging soft belts of spherical raceways and three rows of cylindrical raceways (inner / outer rings). The split rotary table comprises a driving sliding table and two auxiliary power sliding tables, and the three sliding tables are arranged at a fixed angle; the machine tool is mounted on the front side of the split rotary table; and the rotating mechanism is mounted in the moving tail end area of the machine tool. The split rotary table is used for replacing a traditional large rotary table, the cost of a numerical control system is greatly reduced, the rigidity of equipment is improved on the basis of multi-degree-of-freedom machining, and machining is more stable.

The invention relates to the technical field of real-time verification of bending machines, in particular to a real-time drawing verification method for a machined part pattern of a bending machine numerical control system. The method comprises the following steps: obtaining an original pattern and identifying geometric element features, generating feature region data, carrying out load safety margin calculation to obtain a safety threshold boundary, disassembling a principal stress direction and constructing a continuous stress flow field, carrying out constraint reconstruction on the geometric element features, and identifying variable contour data. The method comprises the following steps: acquiring target bending data, planning a bending track, predicting a pre-machining shape, generating a real-time machining gap through gap comparison with the target data, detecting elastic springback of a bent part, performing compensation parameter mapping based on springback data, simulating secondary machining, and finally performing real-time comparison and dynamic machining parameter fine adjustment. The machining process is optimized, and the machining efficiency and the finished product quality of the numerical control system of the bending machine are integrally improved.

The invention relates to the field of numerical control of numerical control machine tools, in particular to an intelligent cutter matching selection control method and system for a numerical control machine tool. The method comprises the specific implementation steps that a machining task digital instruction, numerical control machine tool parameters and a tool historical database are obtained, a joint parameter space is constructed, and candidate tools and initial numerical control parameters are screened; operation feedback parameters are obtained, a stability lobe graph is generated, and a machinable interval is calibrated; a multi-objective optimization model is utilized to evaluate candidate tools, an optimization scheme is output, and parameters and early warning signals are adjusted; a machine tool is controlled in a closed-loop mode through PID, tool parameters are reconfigured when a threshold value is exceeded, a lobe graph is updated, a numerical control feedback strategy is generated, and a dynamic feedback path optimization database is constructed. Through an intelligent algorithm and closed-loop control integrated by a numerical control system, adaptive optimization of tool matching and cutting parameters is realized, and the machining stability and efficiency are improved.

The invention relates to the technical field of numerical control systems, in particular to a control system for processing precision parts of semiconductor equipment, which comprises an information entropy monitoring module for acquiring torque measurement values based on real-time data of a milling cutter and a processing path, arranging the torque measurement values according to a time sequence and selecting continuous torque data segments by using a sliding window. According to the method, through real-time monitoring and dynamic adjustment of process parameters, the precision and efficiency of semiconductor equipment precision part machining are remarkably improved, the means of combining information entropy evaluation and dynamic optimization is implemented, precise control over the stability in the machining process is achieved, it is ensured that the machining parameters are always in the optimal state, and the machining precision is improved. According to the precise control, errors in the manufacturing process are reduced, the consistency and quality of parts are improved, topological errors in multi-axis machining are effectively reduced by predicting and compensating synchronous errors in real time, higher precision and production efficiency are ensured, and the strict requirements for high performance and high reliability are met.

The invention provides a heterogeneous multi-core-based embedded numerical control system, which comprises a development system, an operation system and a bus servo driving unit, and is characterized in that the data output end of the development system is connected with the data input end of the operation system, and the data transmission end of the operation system is connected with the data transmission end of the bus servo driving unit; the development system is used for programming and monitoring tasks, and the operation system is used for executing control logic, controlling external equipment, receiving compiled control programs from the development system and controlling on-site input and output equipment according to instructions in the programs, so that industrial automatic control is realized. The embedded soft PLC is divided into the development subsystem and the operation subsystem to be deployed on different cores of the multi-core embedded processor, the embedded soft PLC independent of PC operation is achieved, a method for directly explaining and executing the ladder diagram is provided, the ladder diagram does not need to be converted into an instruction list program, and the operation efficiency is improved. The algorithm complexity of ladder diagram compiling and interpretive execution is reduced, and the execution efficiency of the numerical control PLC is improved.

The invention discloses a CFD (computational fluid dynamics) simulation-based magnetofluid jet shear polishing device and method. The device comprises an industrial five-axis machine tool, a fluid circulation system, a jet polishing module and a CNC (computer numerical control) system. The jet flow polishing module and the machined workpiece 8 are installed on a workbench and a tool installation base of the industrial five-axis machine tool respectively, and five-axis polishing machining can be achieved under the control of a CNC numerical control system. The jet flow polishing module comprises a jet flow tool head and a rotating magnetic field generating device. The rotating magnetic field is applied to the jet flow outlet of the jet flow tool head, ferroferric oxide particles in the polishing solution are driven to be arranged in the magnetic line direction to form a chain structure, the viscosity of the polishing solution is remarkably improved, and the polishing solution is endowed with the high-speed self-rotating motion characteristic. High-speed rotation and enhanced viscosity of the liquid column generate stronger shearing force, so that efficient material removal on the surface of a workpiece is realized.

The invention belongs to the technical field of precision part machining, and discloses a precision part machining precision error compensation technology, high-precision measuring equipment comprises a laser interferometer and a coordinate measuring machine, a numerical control system calculates the compensation amount of each axis of a machine tool according to a model and carries out dynamic adjustment, and an online tool measuring system comprises a tool compensation probe. The laser interferometer carries out interference measurement through reflection of a laser beam and a machine tool measuring part so as to obtain the measurement precision, and through cooperation of the laser interferometer, the coordinate measuring machine and the cutter compensation probe, the numerical control system calculates the compensation amount of each axis of the machine tool according to a model and carries out dynamic adjustment. The laser interferometer performs interference measurement through reflection of a laser beam and a machine tool measuring part, ensures parallelism and perpendicularity, checks error changes of the machine tool at different working temperatures, detects motion errors of the machine tool at different temperatures by using the laser interferometer, and compensates the errors according to the temperature changes.

The invention discloses a numerical control machining tool health state online evaluation system and method based on multi-sensor fusion. Comprising a data acquisition module, a noise data preprocessing module, a noise feature analysis and mode recognition module, a tool health state evaluation module and a multi-source data fusion module, and the data acquisition module, the noise data preprocessing module, the noise feature analysis and mode recognition module and the tool health state evaluation module are connected in sequence. The data acquisition module and the cutter health state evaluation module are both connected with the multi-source data fusion module, and the multi-source data fusion module is connected with the numerical control system. By integrating various sensor data, noise interference of a single sensor is reduced, the accuracy and stability of cutter health state evaluation are improved, and intelligent online evaluation of the cutter health state is realized.

The invention discloses a mechanical compensation value calculation method and a bending machine numerical control system.The mechanical compensation value calculation method comprises the steps that firstly, a theoretical model is built based on the stress condition of the bending machine in the bending process, deflection curves of a sliding block and the end face of a workbench are solved, deflection curve expressions of the upper end face of the workbench and the sliding block are obtained, and the working condition of uneven stress of the bending machine is considered; further optimizing the theoretical model by analyzing the trend of the deflection curve and the position change of the symmetry axis of the deflection curve, abstracting a deflection curve expression, that is, each item in the expression has an unknown coefficient, performing search optimization by using a genetic algorithm, and determining each item of coefficient; according to the calculation method and system, the deflection change conditions of the bending machine at different bending positions are considered and analyzed, the calculation of the overall deflection deformation and the compensation value of the bending machine is more accurate according to an actual deflection curve optimization theoretical calculation formula, previous bending data are learned through a swarm intelligence optimization algorithm, and the bending accuracy of the bending machine is improved. And continuously optimizing mechanical compensation calculation model parameters.

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 embodiment of the invention discloses a double-end spark machine and an anti-collision control method thereof. The double-end spark machine comprises a numerical control system, an anti-collision module, a first main shaft and a second main shaft. The anti-collision module, the first main shaft and the second main shaft are all connected with the numerical control system; the anti-collision module is used for detecting first distance data between the first main shaft and the second main shaft and generating a distance range signal according to the first distance data; the numerical control system is used for determining the distance state between the first spindle and the second spindle according to the distance range signal and controlling operation of the first spindle and the second spindle according to the distance state, and the machining efficiency of the double-end spark machine is improved while collision between the first spindle and the second spindle is avoided.

The invention discloses a machining numerical control system and method based on CAD drawing recognition, and belongs to the technical field of numerical control machining. The user operation page module is used for providing an interface for a user to upload a CAD drawing, set basic data, start a drawing recognition process and view and change a recognition result; the system management module is used for managing the machining data system based on the database module; the data processing module is used for identifying a CAD drawing, identifying structure information and size information of parts in the CAD drawing, and processing to obtain a machining G code for controlling movement and machining operation of a machine tool; the communication module is used for realizing data interaction and bidirectional data interaction between the system and the numerical control machine tool, including program issuing, state monitoring and parameter adjustment; the technical problems that the automation degree is low, the efficiency is not high, the integration degree is insufficient, operation is complex, errors are prone to occurring and the like in the process from CAD drawings to numerical control machine tool machining G code generation are effectively solved.

The invention relates to crankshaft outer circle and end face integrated grinding equipment and a grinding method, and relates to the field of grinding equipment. According to the technical scheme, a single grinding machine is used for replacing three grinding machines in the original process, equipment investment is greatly reduced, labor and energy consumption are saved, the production efficiency is improved due to process concentration, and meanwhile the problems that an existing process is large in occupied area and large in labor consumption are solved; the outer circle and the end face of the crankshaft part can be synchronously ground through one-time clamping, positioning errors caused by multiple times of clamping are avoided, a numerical control system can conveniently monitor and compensate machining errors in real time, and the high-precision requirement is guaranteed. Specifically, a grinding wheel spindle is matched with an axial driving assembly to achieve synchronous grinding of the outer circle and the end face of the crankshaft. Diamond needles are welded to the outer circle and the side face of the grinding wheel dressing diamond roller in a buried mode, and dressing of the outer circles of a fixed grinding wheel and a movable grinding wheel and the end face of the movable grinding wheel can be completed. A metal guide wheel is selected to support a crankshaft spiral groove face, guide wheel abrasion is reduced, and grinding precision and efficiency are further guaranteed.