2097 results about "Thermal deformation" patented technology

The invention belongs to the technical field of laser processing, and particularly relates to a special-shaped curved glass laser cutting track planning method. According to the method, the instantaneous thermal effect and the historical thermal accumulation effect are subjected to coupling calculation, high-precision prediction and compensation of thermal deformation in the laser cutting process are achieved, the accuracy of the cutting track is improved, contour deviation caused by thermal deformation is avoided, and the geometric precision is improved; according to the local geometric complexity of the special-shaped curved glass, regions are divided, and differential virtual scanning layers and scanning modes are matched, so that the dynamic balance of efficiency and precision is guaranteed, the processing quality of regions with high curvature, thin walls and the like is guaranteed, the cutting speed of flat regions is increased, and the processing period is shortened; by monitoring the temperature and feeding back actual thermal historical parameters during cutting, model parameters are reversely optimized by using contour precision data after cutting is completed, so that robustness and stability are enhanced, and the yield and process reliability of laser cutting of the special-shaped curved glass are improved.

The invention provides an intelligent real-time detection method and system for PCCP welding quality, and relates to the technical field of online detection and intelligent evaluation of pipeline welding quality through machine learning. Light energy data and multi-light-source images of a spiral weld pool are collected, exposure parameters are dynamically adjusted through the energy difference of visible light near-infrared bands, and the real-time detection of the PCCP welding quality is achieved. Inhibiting strong light interference and generating a weld surface image; a stress concentration area is positioned by scanning a welding seam thermal deformation area and combining speckle pattern change, sound frequency change and the elastic characteristic of the thin-wall steel cylinder; inputting the surface image and the deformation data into a space-time convolutional neural network, fusing light energy change, image details and spatial features to construct a weld joint space structure diagram, and adaptively correcting the position of a sensor; and comparing the sinking depth of the three-dimensional point cloud reconstruction, analyzing the correlation between the sinking degree and the stress, and generating a probability thermodynamic diagram to output the pressure-bearing failure risk level, so that the probabilistic early warning of the pressure-bearing failure risk can be realized.

The invention relates to the field of numerical control machining, discloses a numerical control machining method and system integrating thermal expansion dynamic compensation, and aims to solve the problem that precision is out of control due to thermal deformation in high-speed cutting of motorcycle light alloy castings. The method comprises the steps that distributed temperature and displacement sensors are arranged in a key area of a workpiece, and a temperature field and thermal expansion amount are collected in real time; constructing a local thermal deformation prediction model based on a material expansion coefficient and a geometric structure, and correcting a tool path in real time through a coordinate system dynamic offset algorithm; and an on-line measurement feedback mechanism is introduced, and model parameters are adaptively optimized, so that closed-loop compensation is realized. The system comprises a sensing module, a thermal deformation modeling and compensation calculation module, a coordinate dynamic correction module, an online measurement feedback module and a parameter adaptive updating module. Through millisecond-level dynamic compensation and closed-loop self-optimization, the size precision and form and position stability of the complex thin-wall part under the high-temperature working condition are remarkably improved, the rejection rate and cooling energy consumption are reduced, and the method is suitable for a high-precision batch machining scene.

The invention relates to a thermal insulation evaluation method for a light recycled building block based on thermal coupling simulation, which comprises the following steps: modeling the recycled building block into a heterogeneous multiphase complex, and introducing a three-layer structure field of micro pores, mesoscopic aggregates and macroscopic blocks; a partition coupling strategy is adopted, a microstructure variability-heat flux density disturbance-stress field reconstruction causal chain is constructed, and macroscopic thermal insulation performance fluctuation caused by thermal deformation is captured; tracking a thermal stress concentration area caused by temperature difference change through thermal and force coupling simulation; analyzing the influence of a thermal stress migration path on local structure integrity, pore change and crack evolution; constructing a thermal stress and structure disturbance factor framework, and evaluating the influence degree of the structure local deformation on the thermal resistance; extracting high-dimensional feature data; establishing a heat and force characteristic space; constructing a response surface equation, and mapping a change track of the thermal insulation performance in a heat and force coupling response space; a time and structure response composite scoring system is formed, real coupling of multiple physical fields is achieved, and limitation of traditional evaluation is broken through.

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

The invention discloses a ship plane segmented welding multi-robot path planning system based on visual inspection, and relates to the technical field of ship manufacturing, the ship plane segmented welding multi-robot path planning system comprises a multispectral visual inspection module which is mounted on a portal frame and comprises a laser scanning sensor and an infrared thermal imager, the system is used for collecting three-dimensional point cloud and temperature distribution data of ship plane segments in real time. According to the ship plane segmented welding multi-robot path planning system based on visual inspection, the problem of path planning misalignment caused by assembly errors, thermal deformation and complex working conditions in large ship plane segmented welding is fundamentally solved through a multispectral visual real-time perception and material self-adaption dynamic correction mechanism. A composite correction vector and space-time grid collaborative pre-judgment technology is adopted, the welding seam track precision is effectively improved, it is ensured that the weld leg size strictly reaches the standard in the high-difficulty processes such as wrap angle welding and vertical position welding of the maximum-size workpiece, the defects such as air holes and cracks are eliminated, and the rework rate and the quality risk are greatly reduced.

The invention relates to a body weight measuring method and device with automatic calibration and temperature compensation functions, and the method comprises the steps: synchronously obtaining the surface temperature and environment temperature data of a bearing structure through a temperature sensor array; calculating a current temperature difference value between the surface temperature and the environment temperature, generating a control signal when the current temperature difference value exceeds a material thermal deformation threshold value, and calculating a surface temperature change rate; selecting a compensation mode according to the compensation control signal and the surface temperature change rate, starting a compensation process based on a closed loop verification mechanism, and correcting the original weighing value according to a temperature-drift relational database to generate preliminary compensation data; when the calculated accumulated temperature impact value reaches a set threshold value, triggering a parameter self-updating operation to obtain final weighing data; and outputting final weighing data with temperature credibility rating to an interactive interface so as to solve the problems of error accumulation and manual intervention dependence caused by temperature fluctuation in a traditional scheme.

The invention relates to a dynamic precision compensation control method based on an intelligent PCB drilling machine, and the method comprises the steps: collecting a dynamic parameter set in real time through a multi-source sensor group disposed on a drilling main shaft, the dynamic parameter set comprises displacement deviation caused by axial deformation of a main shaft, thermal deformation analyzed based on interlayer temperature gradient and frequency spectrum characteristics reflecting tool-material coupling vibration, and according to the multi-dimensional compensation vector and current drilling process parameters, a space trajectory correction instruction and a motion parameter optimization instruction are dynamically synthesized, so that the dynamic parameter set is obtained. Wherein the trajectory correction instruction reconstructs a real-time interpolation path through a B-spline curve, the motion controller receives a space trajectory correction instruction and a motion parameter optimization instruction, at least three times of compensation iteration are completed in a single drilling period, a linear motor and a spindle motor are driven to execute online precision compensation, and the execution delay of the compensation instruction is smaller than 2 ms.

The invention relates to the technical field of artificial intelligence processing, in particular to a manufacturing and processing system based on artificial intelligence simulation control parameters. According to the manufacturing and processing system, three-dimensional space-time coding is carried out on vibration, temperature and deformation time-varying signals through a multi-mode sensing module; generating a composite feature body including an equipment rigidity distribution matrix, a thermal deformation gradient vector and a material residual stress tensor, and solving the problems of spatial-temporal asynchronization and physical field feature splitting of multi-source data; the parameter resolving module constructs a parameter incidence matrix based on a fractal neural network, combines dynamic constraint conditions of thermal deformation gradient vectors, performs multi-objective optimization on a rigidity distribution matrix and residual stress tensor, generates an initial parameter solution set for eliminating time-lag deviation, and breaks through the nonlinear coupling optimization bottleneck of a traditional static model; and the state dissociation module calls a historical wear feature library to construct a performance attenuation reference surface, and tool accumulated wear and instantaneous thermal deformation disturbance are synchronously inhibited through convolution operation and projection correction of a dynamic compensation factor.

The invention provides an SMT patch correction system linked with AOI and a method thereof. The SMT patch correction system comprises a stokehole AOI detection module, a stokehole AOI detection module, a multi-dimensional sensing module, an intelligent data center module, an AI decision optimization module and a process simulation verification module. According to the method, the AOI detection data in front of and behind the furnace are fused through the intelligent data center module, the mapping relation of knowledge graph associated elements, the technology and offset data is constructed, a linkage closed loop is formed, and offset source tracing and full-process dynamic deviation correction are achieved; environmental parameters such as temperature, vibration and suction nozzle pressure are collected in real time through the multi-dimensional sensing module, and the environmental parameters are standardized through an intelligent data platform and then are included into correction logic of the AI decision optimization module, so that dynamic compensation of the influence of environmental factors on the mounting precision is realized; a deep learning and reinforcement learning cooperation strategy is adopted through the AI decision optimization module, parameters are dynamically optimized and corrected in combination with thermal deformation simulation and other multi-source information of the process simulation verification module, and the adaptability to different element types and production scenes is improved.

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

The invention discloses a ship steel plate digital cutting and typesetting optimization method and system, and the method comprises the steps: collecting the morphology data of a to-be-cut steel plate, and generating a machining region model; based on the machining area model and the specification data of the target part, a deep reinforcement learning-genetic hybrid algorithm is adopted as a solving strategy, and an optimal typesetting scheme is output; generating a numerical control cutting path and a corresponding numerical control code according to the preferable typesetting scheme, and carrying out kerf gap constraint and thermal deformation compensation on the numerical control cutting path; based on the deviation between the ideal coordinates of the reference mark points in the machining area and the real coordinates of the reference mark points projected on the to-be-cut steel plate, the to-be-cut steel plate is positioned and calibrated; and executing a cutting instruction, evaluating a cutting result, and feeding back deviation data to adjust and optimize strategy parameters. On the premise of ensuring the process feasibility, limit utilization of the steel plate is achieved, the cost is reduced, the cutting quality is improved, and the method is suitable for shipbuilding scenes with various complex parts and high cutting precision requirements.

The invention relates to the technical field of metal welding automation control, in particular to a metal welding seam automatic tracking welding system based on machine vision. Comprising a data acquisition module used for acquiring initial three-dimensional geometric parameters of a welding seam and monitoring welding process parameters including welding current, arc voltage and welding speed; the thermal deformation prediction module is used for solving a weld joint thermal deformation displacement vector; the dynamic deviation evaluation module is used for calculating a dynamic deviation index; the risk grading module is used for judging the trajectory deviation risk as safety, first-level risk or second-level risk; the defect tendency prediction module is used for calculating an incomplete fusion index and a hot crack index; the comprehensive risk assessment module is used for determining a comprehensive process risk factor; and the track correction module is used for generating a corrected welding gun target track so as to carry out closed-loop correction control on the welding process. According to the method, the problem of trajectory deviation caused by thermal hysteresis and dynamic deformation is solved, and the tracking precision and stability of the welding path are remarkably improved.

The invention provides a lead screw precision milling closed-loop optimization and real-time control process based on multi-axis linkage, which comprises the following steps of: acquiring geometric parameters of a workpiece, material attributes and kinetic parameters of a machine tool, designing a cutter and clamp scheme, and setting initial processing parameters based on a cutting database; constructing a lead screw spiral groove high-precision curved surface model by using an NURBS curve, and optimizing a path through curvature adaptive discretization and quintic spline interpolation; an idle stroke path is iteratively optimized by adopting a real number coding genetic algorithm, and the total time of the path and the reversing frequency are shortened; multi-axis synchronous control is achieved through inverse kinematics solution, and the cutter inclination angle is dynamically adjusted in real time based on the contact angle; and virtual simulation and finite element analysis are utilized to predict cutting force, thermal deformation and interference risks. According to the method, the continuous and smooth multi-axis synchronization instruction is generated, the positioning error of each axis is effectively reduced, meanwhile, the cutter inclination angle is dynamically corrected through force feedback of the contact angle, cutting force fluctuation is effectively restrained, and it is ensured that the tooth surface roughness of the spiral groove meets the requirement.

The invention provides a multi-point intelligent welding system and method. The method comprises the steps that process state feedback information between the tail end of each welding gun and a workpiece is obtained; dynamically predicting the thermal deformation amount of the workpiece, and compensating the initial expected pose of each welding gun according to the thermal deformation amount to generate a thermal compensation global pose; performing kinematics calculation according to a predefined welding seam path, the thermal compensation global attitude and a space cooperative constraint relationship among the welding guns, and generating a theoretical tail end pose of the tail end of each welding gun; for each welding gun, inputting the process state feedback information of the welding gun into the process self-adaptive adjustment model to obtain a local compensation pose used for offsetting the process deviation, and further obtaining a final target pose; and finally, according to the final target poses of the welding guns, the joint angles of the welding guns are determined, joint motors are driven to track the joint angles, and cooperative control over the poses and the process states of the welding guns is achieved. According to the scheme, high-precision cooperative pose control of the multiple welding guns in the thermal deformation environment can be achieved.

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 designs an assembly process error modeling method considering heat, and realizes rapid and accurate calculation of thermal deformation of an assembly junction surface affected by heat in the part assembly process. In the part assembling process, heat generated in the assembling process is an important influencing factor influencing the assembling precision. In order to realize rapid calculation of thermal deformation in a part assembling process, a prediction model of thermal deformation of an assembling joint surface in the part assembling process is constructed by utilizing a physical information neural network. According to the method, a full-connection neural network architecture is adopted, and boundary condition constraints are introduced into a loss function item for joint optimization training. Through minimization of a loss function, a driving model learns displacement distribution characteristics of an assembly joint surface under thermal deformation, and a mapping relation between a space coordinate point and a corresponding displacement amount is established. The model finally realizes the real-time prediction capability of the thermal deformation field of the assembly joint surface.

The invention relates to the technical field of precise motion control, in particular to an XY motion platform positioning error compensation system and method, which extracts spatial-temporal characteristics through multi-modal data fusion and normalization processing in combination with a neural network hybrid model, and dynamically manages time sequence errors by using a forgetting gate, an input gate and an output gate. And a compensation parameter is updated by adopting an online adaptive training mechanism of error source classification. The problems that in the prior art, due to mechanical abrasion and thermal deformation of an encoder, precision is attenuated, nonlinear errors are difficult to process through a PID algorithm, pure vision positioning is prone to interference and complex in calibration, and an online learning mechanism is lacked can be effectively solved, the positioning comprehensive error is reduced to the micron order, the anti-interference robustness and the real-time compensation capacity of a system are improved, and the system reliability is improved. And the positioning precision and the production efficiency are obviously improved.

The invention discloses a frame manufacturing method and a frame, relates to the technical field of frame production, and aims to solve the problem that a welding seam at the splicing position of an existing motorcycle frame is obvious. According to the technical scheme, the method is characterized by comprising the following steps that S1, a metal plate is provided as a raw material, and a frame blank is formed through cutting; s2, the frame blank is placed in a stretching die on a hydraulic machine to be subjected to pressure forming, deformation of the frame blank is controlled through a cavity of the stretching die, and a continuous streamline curved surface is formed on a frame body; and S3, laser cutting is carried out on the frame body based on artificial intelligence. The method comprises the following sub-steps that S3.1, actual three-dimensional point cloud data of the surface of the stretched and formed frame body are obtained through an optical scanning system. According to the method, dense welding seams of traditional multi-section splicing are thoroughly eliminated through the integrated streamline forming technology, intelligent prediction and self-adaptive correction are conducted on material springback and thermal deformation in combination with the AI dynamic compensation cutting technology, and precise adaptation of the frame contour and the motor interface is achieved.

The invention discloses a dynamic thermal deformation compensation method for a numerical control grinding machine. The dynamic thermal deformation compensation method comprises the following steps that three-dimensional temperature field data of a mechanical head are obtained in real time through a distributed temperature monitoring unit; inputting the three-dimensional temperature field data into a numerical control grinding machine thermal deformation digital twin model, and predicting thermal deformation and spatial distribution of the mechanical head in a future time period through coupling temperature field-stress field-deformation field simulation calculation; and generating a compensation strategy according to the thermal deformation and the spatial distribution, driving the radiator to move to a thermal deformation sensitive area for directional heat dissipation, and adjusting the position and posture of the grinding head through a five-axis linkage system of the numerical control grinding machine to offset the predicted thermal deformation. A three-dimensional temperature field of the mechanical head is reconstructed in real time through the distributed temperature monitoring unit, and accurate real-time prediction of thermal deformation and spatial distribution is achieved; and meanwhile, a five-axis system is cooperated to pre-adjust the position and posture of the grinding head, and the thermal deformation restraining precision and the machining stability are remarkably improved.

The invention discloses a positioning and clamping fixture for automobile frame welding, and relates to the technical field of automobile manufacturing equipment.The positioning and clamping fixture comprises a workbench, a welding angle adjusting mechanism is arranged at the top of the workbench, and a thermal deformation dynamic compensation positioning and clamping mechanism is arranged at the top of the welding angle adjusting mechanism; a PLC is installed on the top of the workbench. According to the positioning and clamping fixture for automobile frame welding, through the arrangement of the thermal deformation dynamic compensation positioning and clamping mechanism, position deviation caused by thermal deformation is corrected in real time, out-of-tolerance of the size precision of a frame welding part is avoided, subsequent correction processing links are reduced, the production cost is reduced, and the problems that an existing fixture adopts a fixed rigid clamping and positioning structure, and the machining efficiency is high are solved. The problems that position deviation caused by thermal deformation cannot be corrected in real time, the size precision of a frame welding part is out of tolerance, additional correction machining is needed in the follow-up assembling process, and the production cost is increased are solved.

The invention belongs to the technical field of injection mold detection, and discloses an injection mold surface defect detection method based on visual inspection, and the method comprises the following steps: S1, adaptively adjusting collection parameters according to mold process parameters, and ensuring clear collection of different process surface defect features; s2, a deformation matrix is output through the mold thermal deformation finite element model, image registration is guided in combination with a deformation field, and the defect position deviation of the thermal-state mold is corrected; the method comprises the following steps: constructing a vibration-fuzzy kernel mapping model based on vibration sensor data, and restoring a fuzzy image by using an improved Richardson-Lucy algorithm; s3, a process exclusive texture primitive library is constructed, and unified threshold positioning deviation is avoided; s4, converting process parameters into feature extraction weights through a process perception attention CNN model, and accurately capturing defect core features under different processes; according to the design, the detection method can adapt to the surface of a multi-process mold without replacing a model, and the debugging cost of cross-process detection is greatly reduced.

The invention provides a teaching-free welding robot dynamic energy-saving path planning method and system, and relates to the technical field of industrial robos.The method comprises the steps that 1, a workpiece is scanned through a laser vision device, weld joint coordinates, obstacle information and workpiece thermal deformation data are obtained, weld joint feature points are extracted, and the weld joint feature points are obtained; establishing a mapping relation between a workpiece coordinate system and a robot base coordinate system; step 2, based on the mapping relationship, in combination with a thermal deformation prediction mechanism and sensor feedback data, implanting a dynamic response node in the initial path, calculating path point offset by using the feedback data, and generating an anti-offset path; and step 3, aiming at the anti-offset path, constructing a multi-dimensional collaborative evaluation mechanism, and carrying out synchronous adjustment and comprehensive balance on the path length, the energy consumption of the whole welding process and the welding quality parameters so as to obtain a multi-dimensional collaborative evaluation result. Weld joint deformation, clamp offset and obstacle displacement are sensed in real time, the path is dynamically planned, and the flexibility of path planning is improved.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention provides a machine tool thermal error prediction compensation method, device and equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of temperature data and thermal deformation data of different machine tools, and dividing the data into a source domain data set and a target domain data set; a dynamic time warping algorithm is adopted to construct an adjacent matrix between temperature sensors, a time-space diagram neural network model is constructed based on the adjacent matrix, and a source domain data set and a target domain data set are input into the model for cross-domain training to obtain a temperature data completion model; and missing temperature sensor data is input into the completion model for data completion, and thermal error prediction is performed based on the data after completion, so that high-precision thermal error prediction under the condition of temperature sensor data missing is realized. According to the method, the space-time diagram neural network is combined with a cross-domain training technology, so that accurate complementation of sensor data, cross-machine-tool-environment model adaptability and stable thermal error prediction precision are realized.

The invention relates to the technical field of infrared light machine system thermal deformation prediction, in particular to a multi-material structure thermally induced stress deformation prediction method based on a graph neural network. The method comprises the steps of data set establishment, graph structure establishment, graph neural network model establishment and training and model and parameter optimization. Finite element nodes correspond to graph nodes, finite element edges correspond to graph edges, an encoder-message passing-decoder architecture model is established, and node states are updated through a three-layer physical symmetry message passing mechanism. Physical constraint loss including minimum displacement smoothness constraint and stress continuity constraint is innovatively added into a loss function. Compared with traditional finite element calculation, the method has the advantages that the speed is increased by more than 100 times, high hardware adaptability is achieved, the black box limitation of a data-driven neural network model is broken through, thermally induced stress deformation analysis caused by different material coefficients can be processed, the adaptability to geometric changes is high, and good engineering application value is achieved.

The invention provides an inclined variable-angle aircraft interstage separation ground test device. The inclined variable-angle aircraft interstage separation ground test device comprises an aircraft separation device, an angle adjusting device, a temperature control and acquisition device, a vibration control and impact acquisition device, an ignition control device and a device base. The angle adjusting device comprises a device side plate, an arc groove, an angle ruler, a separation mechanism mounting plate, a supporting hinge, a supporting rod, an adjusting sliding rail, an adjusting base, a locking device, a device base gradienter, a rotating bearing and an auxiliary fixing block. The temperature control device comprises a quartz lamp array heating cage, an outer wall temperature control thermocouple and an inner wall temperature acquisition thermocouple, and can simulate a pneumatic heating environment at a separation moment, so that the thermal deformation matching capability of the separation mechanism in a high-temperature environment and the operation reliability of the separation mechanism are obtained. The vibration control and impact acquisition device is composed of a vibration table, a vibration control sensor and an impact sensor.

The invention belongs to the technical field of metallurgical engineering, and relates to an intelligent guide grinding system and method for the surface of a casting blank. By arranging the parameter initialization module, the parameter compensation module and the deviation correction module, the problem of unstable grinding quality caused by grinding force fluctuation, temperature change and material difference in the casting blank surface grinding process is solved. The method specifically comprises the steps that the feeding speed is dynamically adjusted by collecting grinding force data in real time, thermal deformation compensation is conducted according to the casting blank temperature and the steel grade characteristics, the upper limit value is determined based on quantitative analysis of surface state parameters and historical standard samples, and adaptive adjustment of the next round of coping parameters is achieved. According to the method, the consistency of the grinding depth is effectively improved, the over-grinding risk in the high-temperature casting blank grinding process is prevented, closed-loop optimization and continuous improvement of the grinding process are achieved, the stability and reliability of the casting blank surface grinding quality are improved, and it is ensured that the product quality cannot be affected by surface defects in the subsequent rolling process of the casting blank.

The invention relates to the technical field of precision manufacturing, and discloses a high-precision numerical control machine tool thermal error compensation method and system.The method comprises the steps that temperature data of key parts of a machine tool are collected in real time through a sensor array, and temperature distribution is generated through preprocessing; simulating a heat propagation path based on finite element analysis to obtain thermal deformation distribution; quantizing contribution values of multiple heat sources to cutter position offset by adopting a neural network model; when the contribution value exceeds a threshold value, activating a cooling system compensation mechanism to generate an offset correction amount; the correction is fused into a machine tool control system to optimize a tool path, and the thermal error model is dynamically updated based on the deviation between the actual machining position and the predicted deformation; and finally, a self-adaptive control strategy is generated in combination with the working condition parameters and the heat source contribution value, and accurate control over thermal errors is achieved through real-time feedback circulation. The method can solve the problem of low machine tool thermal error control precision in the prior art.

The invention provides an environment temperature compensation method and system in the turning process and electronic equipment, and relates to the technical field of turning machining.The method comprises the steps that temperature data of a machine tool at a preset position are obtained and serve as environment temperature data; according to the environment temperature data and geometric structure parameters of machining equipment of the machine tool, the current thermal deformation amount of a machine tool structural part corresponding to the machined workpiece and the current thermal deformation amount of the machined workpiece are obtained; through a long-short-term memory fusion prediction model, prediction is carried out in combination with the historical thermal deformation of the machined workpiece, and future thermal deformation of the machine tool structural part and the machined workpiece in a future preset time period is obtained; and further generating a cutter servo shaft compensation amount, a main shaft hydraulic pre-tightening force compensation amount and a cutting fluid temperature control compensation amount, generating a compensation program according to the compensation amounts, and inserting the compensation program into a machining program of a machined workpiece to complete real-time compensation. According to the invention, through real-time monitoring, dynamic prediction and multi-dimensional compensation, the precision and effect of environment temperature compensation are significantly improved.