1575 results about "Thermal deformation" patented technology

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

The invention discloses efficient cutting equipment for aluminum alloy thin-wall part production, and belongs to the technical field of cutting equipment.The efficient cutting equipment comprises a base, a cutting mechanism, a positioning mechanism and a cooling mechanism are arranged at the top of the base, and the cutting mechanism comprises a connecting cylinder, a rotating cylinder, two mounting frames and two cutting discs; and a transverse shaft and a vertical shaft are rotationally mounted in the mounting frame. Through the synergistic effect of the cutting mechanism, the positioning mechanism and the cooling mechanism, the machining efficiency and quality are remarkably improved, the composite motion mode of rotation and circumferential feeding of the double cutting discs is adopted, the radial feeding speed which is dynamically adjusted is combined, cutting loads are evenly distributed, and vibration and stress concentration are reduced; the cooling mechanism realizes precise cooling through an injection system synchronously tracking the cutting position, and thermal deformation and oxidation are inhibited; an infrared thermometer and a pressure sensor are integrated to monitor the temperature and the cutting resistance of the cutter in real time, the rotating speed and the feeding amount are adjusted in a self-adaptive mode based on feedback signals, and overload and overheating are avoided.

The invention discloses a visual prediction fused robot circumference welding control method. The method comprises the following steps: firstly, stably extracting weld track characteristics in a strong interference environment through circular motion constrained visual tracking; then, constructing a multi-modal fusion framework, and combining nonlinear state estimation with a space-time attention prediction network to realize prospective compensation of thermal deformation; and finally, a smooth and accurate robot track is generated by adopting hierarchical model predictive control. According to the method, through deep fusion of physical constraint and data driving, the problem of track deviation in the welding process is solved, and the welding seam forming quality and the system adaptability are remarkably improved.

The invention discloses a large-current inductor based on thermal actuation multidirectional sealing compensation, and particularly relates to the technical field of inductor parts, the large-current inductor comprises an inductor lower cover, an inductor upper cover, two sliding strips and a multidirectional compensation piece, and the inductor upper cover is arranged above the inductor lower cover; the two sliding strips slide on the inner wall of the inductor lower cover; and one side of each sliding strip is provided with a multidirectional compensation piece. Through the multidirectional compensation piece, the multidirectional compensation mechanism obviously enhances the adaptability of the joint of the inductor upper cover and the inductor lower cover to thermal deformation in different directions, so that the sealing compensation capability of the inductor under multidirectional thermal expansion and cold contraction is more excellent, and the sealing durability of the inductor shell is greatly improved; therefore, the problems that the sealing compensation capacity of the inductor is insufficient under multi-directional thermal expansion and cold contraction, and the sealing durability of the inductor shell is poor are solved.

The invention relates to the technical field of laser cladding repair, and provides a positioning and clamping system and method for repairing the surface of a large working roll of a steel mill based on laser cladding, a three-field coupling prediction model of a temperature field, a stress field and a displacement field is established, and a partial least squares regression algorithm is combined with a Kalman filter to realize multi-step prospective prediction. According to the predicted thermal deformation, self-adaptive compensation control is implemented through a three-layer cascade compensation mechanism composed of a hydraulic drive, a piezoelectric ceramic driver and a laser head adjusting mechanism. The system adopts a time domain, frequency domain and time-frequency domain joint analysis method to extract vibration characteristics, vibration types are classified and identified through a support vector machine, and an active-passive hybrid suppression strategy is adopted for different vibration sources. High-precision positioning and stable clamping of the large working roller in the laser cladding repairing process are achieved, and the thickness uniformity and the surface quality of a cladding layer are remarkably improved.

The invention provides a system and method for inhibiting wafer scratching in double-sided polishing and double-sided polishing equipment. The system comprises: a shunt manifold valve group, which shunts a polishing liquid main flow path into at least three independent branches respectively corresponding to the inner, middle and outer areas of a polishing pad; the at least three online heating units are respectively arranged on each branch to independently heat the polishing solution; the temperature monitoring device comprises at least three temperature sensors which are arranged in different areas and is used for monitoring the temperature of the three areas in real time; and the control system independently regulates and controls the power of each heating unit based on temperature feedback, a preset non-uniform radial temperature gradient is established and maintained on the polishing pad, and the gradient is configured that the temperature of the middle area is not lower than that of the inner area, and the temperature of the inner area is higher than that of the outer area. Thermal deformation of the polishing pad is optimized through partitioned independent temperature control, and wafer scratching is effectively restrained.

The invention relates to the technical field of surface mounting, and discloses an SMT (Surface Mount Technology)-based patch vision correction method, which comprises the following steps: S1, a calibration stage: constructing a double-coordinate system mapping model based on a PCB (Printed Circuit Board) plane, and establishing a nonlinear distortion compensation matrix according to the patch thickness; s2, a pickup stage: a CCD shooting camera is arranged at the top of the suction nozzle, a top CCD is triggered to shoot when the suction nozzle picks up an element, and pin coplanarity data is extracted; s3, a positioning stage: setting a reference point at the top of the PCB, scanning the PCB reference point through a CCD, and calculating a deviation between an actual position and a theoretical coordinate by using an algorithm processor; and S4, compensation execution: the motion shaft system dynamically adjusts the mounting path according to the deviation vector. The visual correction method based on SMT pasting has the advantages of accurate pasting and the like, and solves the problems of pasting position offset, low efficiency and unstable precision caused by factors such as vibration of an element feeder, mechanical transmission errors and thermal deformation of a PCB (Printed Circuit Board) due to dependence on manual calibration in the existing SMT pasting process.

The invention relates to the technical field of welding, and particularly discloses an anti-fatigue welding process for a long-distance pipeline supporting steel structure. The process comprises the steps that a font groove structure is determined, and pre-welding polishing pretreatment and layered welding are conducted; fatigue samples of weld toe areas with different arc radiuses are collected, crack feature coordinates and stress concentration coefficients are extracted, failure modes are divided based on clustering, the arc radiuses are verified as main control factors of fatigue failure through multiple linear regression, and a core control range is determined by combining process capability indexes; carrying out fatigue verification on the basis of core parameter extension radius gradient, carrying out process compatibility matching in combination with a controllable interval and a thermal deformation interval of equipment, and outputting a radius candidate value through a response surface method; on-site construction constraints are collected, laboratory path space compatibility is analyzed, a formed track is optimized in a segmented mode, and constraint compensation factors are embedded. The anti-fatigue performance of the weld toe area of the supporting steel structure can be improved, and quality guarantee is provided for welding of the long-distance pipeline supporting steel structure.

The invention belongs to the technical field of welding workstations, and discloses a welding workstation robot welding path and positioner action collaborative optimization method, which comprises the following steps: constructing a weld importance-real-time working condition dynamic priority system through an analytic hierarchy process, and collecting thermal stress and deformation data in real time in combination with multiple sensors; the high-priority weld joint cooperation level with the heat deformation exceeding the threshold value is automatically adjusted up; meanwhile, establishing a'priority-equipment resource 'matching matrix to identify conflicts in advance; according to the design, working condition changes in the welding process can be dynamically adapted, the deformation problem caused by fixed priorities in a multi-welding-seam intersection area is avoided, manual interruption and adjustment are not needed, it is ensured that the robot and the positioner act collaboratively without resource preemption, it is ensured that the welding process is continuous and stable, and the welding quality consistency of multi-welding-seam workpieces is improved; a variable load coupling dynamic model is established based on a Lagrange equation, a load compensation item is embedded, and a coefficient is corrected online in real time.

The invention discloses a furnace roller shaft head and roller welding and positioning tool, and relates to the technical field of furnace roller welding and positioning. The furnace roller shaft head and roller welding and positioning tool comprises a support, a bearing box base is installed on the upper end face of the support, a conversion part is installed on the bearing box base, and a clamping and guiding part used for clamping a furnace roller shaft head to move in a self-centering mode so that the furnace roller shaft head can be inserted into a roller conveniently is installed on the conversion part. The upper end face of the supporting plate is fixedly connected with a limiting column abutting against the inner wall of the bearing box base, and the upper end face of the bearing box base is provided with a bearing part used for bearing a roller and conducting self-positioning on the roller. The clamping sleeve base drives the clamping guide moving part and the sleeve clamping part to synchronously move along the C-shaped guide groove, and rapid positioning and centering of shaft heads at the two ends in the same station are achieved; and then a local protective atmosphere is formed in the welding area through the sleeve pressing part, cold cracks are prevented, meanwhile, flexible limiting and dynamic pressure maintaining can be carried out on the welding area, thermal deformation is automatically compensated, positioning is enhanced, and meanwhile the welding precision is ensured.

The invention relates to the technical field of printing equipment, in particular to a printing ink drying device for anti-counterfeiting stained paper, which comprises a rack, a conveying mechanism is arranged above the rack, a drying box body is arranged above the conveying mechanism, and the drying box body is sequentially divided into a leveling preheating area, a main curing area and a forced cooling area along the conveying direction; the conveying mechanism comprises a high-temperature-resistant conveying mesh belt and a vacuum adsorption platform arranged below the mesh belt; an LED-UV cold light source assembly is arranged in the main curing area, infrared heating pipes transversely arranged in the leveling preheating area and a reflecting cover above the infrared heating pipes are matched with the LED-UV cold light source assembly with a water-cooling circulation flow channel in the main curing area and an external cooling-water machine, and printing ink is evenly heated through infrared radiation to be leveled firstly; curing is completed through low-temperature ultraviolet light, a light source is cooled synchronously in a circulating mode, the effects of ink flat curing and paper low-heat deformation are achieved synchronously, and high-speed continuous operation is effectively supported.

The invention belongs to the technical field of welding equipment, and particularly relates to an intelligent high-speed laser welding device for a longitudinal welded pipe, which comprises a rack, a high-precision clamping mechanism, a multi-degree-of-freedom motion platform, a laser welding head and an intelligent control system. The clamping mechanism adopts hydraulic pressure to drive an arc-shaped clamping plate to realize self-adaptive centering and flexible clamping of the pipe fitting; an X-direction module of the motion platform adopts a servo motor to be matched with a synchronous belt (or a ball screw) for transmission, and a Y-direction module is driven by a hydraulic cylinder, so that precise track control of the laser welding head is jointly realized; the intelligent control system integrates visual tracking of welding seams, infrared monitoring of a molten pool and laser detection of deformation, and welding parameters and motion trails are dynamically adjusted by calculating a welding quality coefficient in real time and based on a threshold value and a residence criterion. According to the method, the problems of welding seam tracking lag, unstable molten pool state, thermal deformation compensation deficiency and the like in high-speed welding are solved, and self-adaptive optimization and full data tracing in the welding process are achieved.

The invention relates to the technical field of metallurgical continuous casting production, in particular to a continuous casting blank movement tracking method, which comprises the following steps of: calculating the thermal deformation of each section of a casting blank according to the section temperature of the casting blank along the length direction in combination with the material thermal expansion coefficient and the section length at the corresponding section temperature, and generating the real-time correction position of the casting blank after a physical correction track is generated; on the basis of the real-time correction position, a preset casting blank benchmark reference position, the real-time pulling speed, the real-time cooling water amount, respective preset benchmarks and motion inertia deviations calculated on the basis of material physical properties and the real-time pulling speed, track prediction adjustment factors are generated; generating a compensation amount for the reference disturbance compensation amount by combining the matching degree of the visual solidification front edge and the model prediction, obtaining a position compensation value, superposing the position compensation value to the original trajectory, obtaining a final tracking trajectory, converting the final tracking trajectory into a servo control instruction, and dynamically correcting the casting blank tracking position. According to the invention, the precision, the dynamic performance and the intelligent performance of the continuous casting blank movement tracking are realized.

The invention relates to the technical field of nuclear fusion, and discloses a flexible supporting device for a proliferation cladding in a nuclear fusion device. The nuclear fusion device comprises a proliferation cladding and a vacuum chamber. The flexible supporting device comprises a lower bottom plate, an adjusting plate and an upper cover plate. The elastic structure is assembled between the adjusting plate and the lower bottom plate and makes contact with the adjusting plate and the lower bottom plate. The guide rod is fixed to the lower bottom plate and penetrates through the adjusting plate and the upper cover plate, and the adjusting plate and the upper cover plate can move relative to the guide rod in the vertical direction; the driving structure is arranged between the adjusting plate and the upper cover plate and used for driving the upper cover plate to move in the vertical direction. By arranging the flexible supporting device, positioning, mounting and dismounting of the value-added cladding are facilitated, the value-added cladding can have certain flexibility, large thermal deformation generated by thermal expansion of the value-added cladding can be buffered, the risk that the value-added cladding and related parts (such as a vacuum chamber) are damaged can be reduced, and the service life of the value-added cladding can be prolonged. And the overall structure reliability of the nuclear fusion device can be improved.

The invention relates to the field of low-temperature liquid conveying equipment, and discloses a rotor supporting system of a low-temperature liquid pump, which is arranged on a pump rotating shaft and is used for supporting a rotor. The system includes a fixed bearing bushing, a swivel bearing bushing, and a flexible coupling bushing ring. The fixed bearing bushing is fixedly mounted in a bearing supporting seat of the pump body; the rotating bearing bush is arranged on the pump rotating shaft in a sleeving mode, and a sliding friction pair is formed between the rotating bearing bush and the fixed bearing bush. And the flexible connecting bushing ring is arranged between the rotary bearing bushing and the pump rotating shaft and is in interference fit with the rotary bearing bushing and the pump rotating shaft respectively. Through the flexible connection bushing ring, the thermal deformation difference of materials in a low-temperature environment can be absorbed, starting impact and operation friction damage are reduced, and therefore stable supporting and long-term reliable operation of the low-temperature liquid pump rotor are achieved.

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

The invention discloses a high-precision numerical control lathe and a dynamic compensation control method thereof. The high-precision numerical control lathe comprises a lathe body, a spindle box is installed at one end of the upper side of the lathe body, a spindle is rotationally installed in the spindle box, a chuck is installed at one end of the spindle, a linkage mechanism is installed on the lathe body and located on one side of the chuck, a tool rest is installed on the linkage mechanism, and a tool is installed on the tool rest. A temperature detector is installed in the spindle box, at least two temperature sensors are installed on the cutter, tensile strain gauges are further installed on the top and the side face of the cutter respectively, an X-axis encoder is installed at the end of a driving lead screw of the X-axis sliding seat, and a Y-axis encoder is installed at the end of a driving lead screw of the Y-axis sliding seat. Real-time sensing, intelligent prediction and closed-loop compensation of dynamic disturbance such as thermal deformation, tool abrasion and vibration are achieved, the machining precision, stability and self-adaptive capacity of the numerical control lathe under the complex working condition are remarkably improved, and the numerical control lathe is suitable for precise and efficient turning machining of high-end rotary parts.

The invention provides a multi-core heat dissipation flexible cable. The multi-core heat dissipation flexible cable comprises an inner sheath, a heat dissipation assembly, a separation assembly and a plurality of cell assemblies, an accommodating cavity is formed in the inner sheath; the heat dissipation assembly is arranged around the periphery of the inner sheath; the partition assembly is located in the containing cavity and comprises a center piece and a plurality of partition pieces, the partition pieces are arranged around the periphery of the center piece, and a core cavity is formed between any two adjacent partition pieces; the plurality of battery core assemblies are arranged corresponding to the plurality of core cavities, the battery core assemblies are located in the corresponding core cavities, each battery core assembly comprises an electric unit and a thermal deformation structure, one side of each electric unit is elastically connected to the center piece, the electric unit can slide relative to the center piece, one end of each thermal deformation structure is connected to the inner sheath, and the other end of each thermal deformation structure is connected to the outer sheath. The other end abuts against the side, away from the center piece, of the electric unit. Wherein the thermal deformation structure is thermally coupled with the electric unit, the thermal deformation structure is configured to be heated to generate elastic deformation so as to allow the electric unit to move to be in contact with the inner sheath, and the heat dissipation assembly is configured to dissipate heat of the electric unit through the inner sheath.

The invention relates to a coarse-fine integrated pointing mechanism for optical communication, and belongs to the field of optical communication equipment. The problems that in the prior art, a coarse pointing mechanism and a fine pointing mechanism are separated, so that the size is large, and cooperative work efficiency is low are mainly solved. The technical scheme is characterized in that the coarse pointing function and the fine pointing function are integrated into a single compact structure, large-range coarse adjustment around an azimuth axis y1 is achieved through a rotary table on a base, and high-precision fine adjustment around a pitch axis x2 and an azimuth axis y2 is achieved through a reflector supporting frame and a reflector on a mounting piece; the first motor, the second motor and the third motor respectively drive; full-state sensing is performed through a multi-axis angle sensor, a light beam position detector and a temperature monitoring module; and the controller performs real-time thermal error feedforward compensation on the driving instruction of the fine pointing motor according to the temperature monitoring data and a pre-stored thermal deformation compensation model. The mechanism is mainly used in a free space optical communication system, and realizes rapid capture, high-precision alignment and stable tracking of light beams.

The invention relates to the technical field of intelligent welding equipment, and discloses a metal product electric arc welding clamp which comprises a rack, a main workpiece fixing module, an auxiliary workpiece fixing module, a state sensing module and a control module, the main workpiece fixing module comprises a distance adjusting unit and at least two fixing parts, and each fixing part is composed of a lateral clamping unit and a top pressing unit. The main workpiece fixing module, the auxiliary workpiece fixing module, the state sensing module and the control module form an intelligent clamping system, a traditional passive rigid welding clamp is changed, a simplified thermal-mechanical coupling finite element model is constructed and operated in real time, the workpiece deformation trend and the stress state in the welding thermal process are accurately predicted, the force and the position of a clamping mechanism are actively adjusted in advance, and the welding quality is improved. The posture of the main station is continuously and stably maintained; therefore, the welding precision and consistency are improved, and the thermal deformation and residual stress of the workpiece are inhibited.

The invention relates to the field of precision machining detection, and discloses a hydraulic shaft sleeve machining detection system and detection device which comprises a pneumatic servo control module, a signal collecting and processing module and a thermal inversion calculation module. The pneumatic servo control module drives the overturning air cylinder to apply a composite pressure waveform containing a static reference and a periodic flutter component to the hydraulic sleeve; the signal acquisition and processing module performs frequency domain analysis on a displacement signal detected by the displacement sensor and separates average displacement and displacement amplitude; the thermal inversion calculation module calculates real-time dynamic stiffness according to the displacement amplitude, a material stiffness thermal softening model is used for reversely deducing a temperature rise value, thermal expansion and elastic deformation errors are stripped through multi-dimensional error decoupling operation, and real height data under the standard temperature and without external force are calculated. According to the invention, active excitation and frequency domain analysis technologies are utilized, so that the interference of an oil film and thermal deformation is effectively solved, and high-precision online detection and processing compensation of a thermal-state workpiece are realized.