151 results about "Material Deformation" patented technology

According to the precise cutting machining method and system for the soft material, firstly, the three-dimensional model and the cutting parameters of the material are obtained, the initial cutting track is generated, in the cutting process, material deformation is monitored in real time through the multi-sensor fusion technology, the cutting track and depth are adjusted through the dynamic compensation algorithm, and the cutting precision is improved. And meanwhile, a laser interference measurement system is adopted to track the position of a cutting tool, and micron-level precision is achieved through closed-loop feedback control. According to the method, pressure control and cutting depth adjustment are combined, a specific microstructure is created to achieve differential friction coefficients, in addition, the surface chemical composition is monitored through real-time spectrum analysis, and it is ensured that the preset surface characteristic requirement is met. The cutting track, depth and surface texture of the soft material can be accurately controlled, high-precision and customizable soft material machining is achieved, and key technical support is provided for intelligent machining in the fields of flexible electronics, bionic robots and the like.

The invention relates to the technical field of vulcanized rubber processing, and discloses an intelligent vulcanized rubber processing system and method. According to the method, a physical property parameter set of a rubber raw material and real-time working condition data of vulcanization equipment are obtained, the physical property parameter set comprises the rubber content, the filler distribution density and the heat conduction coefficient, and the real-time working condition data comprises a vulcanization temperature curve, a pressure gradient sequence and a mold state identifier; multi-modal feature fusion processing is carried out on the physical property parameter set and the real-time working condition data, a feature fusion atlas containing thermodynamic response features and mechanical stress distribution is generated, and the atlas is associated with a phase change critical point and a material deformation track in the vulcanization process; and finally, a process parameter optimization model is called to perform dynamic scheduling analysis on the feature fusion atlas, and a vulcanization process control instruction set containing a time sequence operation sequence based on the temperature compensation parameters and the pressure adjustment step length is generated.

The invention relates to an intelligent embroidering path optimization and execution method and system for net cap embroidering in the technical field of intelligent manufacturing, and the method comprises the steps: obtaining a supporting point coordinate from a high-curvature region, employing finite element analysis to simulate a material deformation behavior, obtaining a deformation prediction matrix, and determining the tension distribution of a flexible structure; a supporting path plan is generated and used for deployment of the fixing device; real-time compensation parameters are generated in combination with the curved surface geometric model, material displacement is monitored in the embroidering process through a feedback control mechanism, and a displacement compensation vector is obtained and used for real-time correction of the stitch direction; according to the contact stability after angle deviation data processing, a final embroidery execution sequence is generated, a synchronous driving algorithm is adopted to coordinate the movement of the fixing device and the embroidery machine, and continuous stitch output is obtained to determine that the pattern precision meets the requirement; and obtaining production log data from continuous stitch output, evaluating an overall efficiency index by adopting a data analysis method, and obtaining an optimized feedback cycle for processing and adjusting a next curved surface structure.

The invention relates to the technical field of precision spring manufacturing and automatic control, in particular to a spring forming online control system and method. The system comprises a dynamic modeling module, a disturbance observation module, an impedance decoupling module and a trajectory correction module. The system calculates disturbance torque by constructing a mechanical transmission dynamics reference model and collecting servo parameters; the core of the method is to decouple a material deformation impedance component representing transient rheological characteristics of a wire rod from a disturbance torque, generate a position correction instruction based on an elastic-plastic compensation model, and dynamically adjust a forming track in a current period; according to the invention, the servo motor is multiplexed as a virtual probe, the hysteresis of visual detection is eliminated, the strength fluctuation of the wire rod can be effectively handled, and the product consistency is obviously improved.

The invention discloses an intelligent upsetting riveting method of an automatic drilling and riveting machine based on force-position hybrid control, and relates to the field of intelligent riveting control, and the method comprises the following steps: driving a riveting shaft to be fed to a preset approaching area at a first movement speed through a position control mode; based on real-time displacement feedback and dynamic error judgment of a target position, a control mode is triggered to be seamlessly switched to a force control mode; in the force control mode, force signals fed back by a pressure sensor are synchronously collected through a distributed real-time I / O system; when the force signal reaches a dynamically-calibrated preset threshold value, the feeding motion of the riveting shaft is stopped immediately to complete upsetting and riveting forming; and then the riveting shaft is controlled to reversely break away from the riveting area at the second movement speed. According to the scheme, the control precision and stability of riveting force can be remarkably improved, riveting force fluctuation caused by material deformation or external interference is effectively restrained, and therefore the consistency of upset head forming quality and the reliability of a connecting structure are guaranteed.

The utility model discloses a high-temperature fretting fatigue testing device, which belongs to the technical field of tenon connection structure testing and comprises an upper clamp and a lower clamp which are used for fixing a tenon sample and applying acting force to the tenon sample, and a digital integrated circuit (DIC) camera used for observing material deformation and crack progress of the tenon sample, a micro-motion cushion block used for supporting a tenon sample is arranged in the upper clamp, the upper clamp is sleeved with an electromagnetic induction coil, the electromagnetic induction coil is located at the contact area of the tenon sample and the micro-motion cushion block, an observation window is arranged between every two adjacent turns of coils of the electromagnetic induction coil, and the DIC camera faces the observation window and is as high as the observation window; the observation window is reserved between the two turns of coils, and the material deformation and crack initiation progress of the tenon sample can be recorded in real time through the DIC camera; and the clamp is connected with the bearing seat through the joint bearing, so that self-centering of the tenon sample can be realized, deflection torque is prevented from being introduced, and the shape control precision of a friction surface of a contact area is improved.

The invention belongs to the technical field of material processing and manufacturing, and particularly relates to a multi-process complex loading process material deformation and performance unified prediction method and application thereof. Aiming at the technical defects of an existing material constitutive model in the aspects of cross-process applicability, multi-process historical effect characterization and formation-structure-performance whole-process unified evaluation, a unified internal variable system is constructed; by combining a multi-process unified constitutive theory, a multi-process composite loading path calibration method and a multi-data source collaborative parameter identification and simulation integration technology, unified prediction of deformation behaviors, structure evolution and post-forming performance of materials under different forming processes, different loading modes and complex historical paths is realized. Compared with the prior art, the method of the invention makes significant technical progress in the aspects of model versatility, prediction precision and engineering implementation convenience.

The invention discloses a flexible metal material three-dimensional length measurement system based on a rotary camera mechanism, which is used for solving the problems that the existing contact measurement is easy to cause material deformation, the non-contact measurement is poor in adaptability to high-reflection / low-texture materials and the like. Comprising a rotary camera module (an industrial camera collects images at multiple angles along a semicircular guide rail), a visual calibration module (an ArUco code and a photoelectric sensor realize pose calibration and triggering), a texture enhancement module (structured light / random noise projection optimization feature extraction), a three-dimensional reconstruction module (a multi-view three-dimensional reconstruction algorithm generates point cloud) and an error compensation module (an error compensation module). And a material perception weighted least square fitting and neural network dynamic correction error) and a control splicing module. The bending deformation error of the material is eliminated through non-contact three-dimensional measurement; in combination with texture enhancement and error compensation mechanisms, the measurement precision of high-reflection materials such as aluminum foils and stainless steel bands is improved; and a modular integrated design is adopted, and automatic production line deployment is adapted.

The invention discloses a cutting device adapting to the curvature of a metallized film, and relates to the field of metallized film cutting, the cutting device comprises a workbench and an adapting mechanism used for adapting to the curvature of the metallized film, the upper surface of the workbench is fixedly provided with an inverted-U-shaped supporting frame through bolts, and the supporting frame is fixedly provided with a transverse plate located below a top plate; a lead screw is arranged between the upper portion of the transverse plate and the top plate of the supporting frame, the adaptation mechanism comprises a sensing assembly and an adjusting assembly, the sensing assembly is arranged in the transverse cutting direction of the blade and used for feeding back metallized film transverse deflection curvature data to an external controller, and the adjusting assembly is used for dynamically adjusting the cutting angle of the tool rest according to the fed-back data. And the cutting track of the blade is matched with the transverse curvature change of the film. According to the invention, the local curvature change of the metallized film caused by winding, tension change or base material deformation can be accurately matched, and the problems of uneven notch, edge burr and the like caused by uneven stress during cutting of a rigid cutter are effectively avoided.

The invention discloses a titanium alloy deformation behavior testing device and method, and relates to the technical field of material deformation testing, the titanium alloy deformation behavior testing device comprises a universal testing machine, a clamping module, an ultrasonic vibration module, an electric pulse excitation module and a cooperative control module, the clamping module comprises a ceramic chuck main body, and a conductive contact is arranged on the clamping surface of the ceramic chuck main body; the ultrasonic vibration module comprises an ultrasonic vibrator, and the ultrasonic vibrator is arranged on one side of the ceramic chuck body and used for applying an ultrasonic vibration signal to the titanium alloy sample; the electric pulse excitation module is connected with the conductive contact and is used for applying an electric pulse signal to the titanium alloy sample; the cooperative control module is connected with the clamping module, the ultrasonic vibration module and the electric pulse excitation module. According to the invention, synchronous loading of mechanical load, electric pulse and ultrasonic vibration can be realized, and the clamping module solves the problems of electric conduction, vibration transmission and interference resistance, so that the deformation behavior of the titanium alloy in the electro-acoustic composite field can be accurately and reliably tested.

The invention relates to the technical field of engineering material deformation analysis, in particular to a rock-fill dam stress deformation analysis method and device based on a neural network constitutive model, and the method comprises the steps: obtaining a stress tensor for rock-fill dam stress deformation analysis; inputting the stress tensor into a neural network constitutive model constructed by a generalized plastic theory so as to convert the stress tensor into a stress state in a triaxial stress space, calculating an accumulated absolute volume strain increment, a shear strain and an accumulated absolute shear strain increment, and respectively predicting variables in different soil bodies so as to output stress increments; and generating a stress deformation analysis result of the rock-fill dam according to the stress increment. Therefore, the problem that a data-driven constitutive model is insufficient in generalization, training data is difficult to obtain and calculation stability is poor, so that the data-driven constitutive model is difficult to be suitable for rock-fill dam stress deformation prediction of complex engineering in the prior art is solved.

The invention discloses a backlight structure with an NFC (Near Field Communication) function, which comprises a backlight rubber frame of which the bottom non-NFC function area is provided with a locally injection-molded iron frame; the heat dissipation copper foil and the module FPC are attached to the upper surface of the iron frame; the difference between the shrinkage rate of the iron frame and the shrinkage rate of the backlight rubber frame is smaller than a preset threshold value, so that material deformation is restrained when the environment temperature changes. The NFC function requirement of the whole machine is met, material environment testing characteristics are considered, and compared with a pure rubber frame, the backlight intensity is high, and material environment testing performance is compatible.

The invention provides a three-dimensional measurement method and device for material deformation response in a high dynamic scene, and relates to the technical field of detection based on optics, and the method comprises the steps: obtaining a static contour of a to-be-measured material and a plurality of dynamic contours of the to-be-measured material at different loading moments through a material profile deformation measurement unit erected outside a load influence area; calculating a difference value between the dynamic contour and the static contour at each loading moment, taking the difference value as a material response deformation quantity at the corresponding moment, and integrating the material response deformation quantities at each loading moment to obtain a material response deformation contour set; and according to the material response deformation contour set and the attention moment determined by the load type, determining material response three-dimensional deformation information. According to the invention, the whole-process three-dimensional deformation information of the to-be-detected material under the influence of the load is determined through the material profile deformation measurement unit erected outside the load influence area, and a new normal form is provided for non-contact detection.

The invention discloses a hot stamping anti-collision component lightweight design method based on multi-dimensional collaborative optimization. The method comprises the steps that a forming-service material model inheriting the forming history is constructed in the material dimension; constructing a machine learning agent model based on scalar representation in a part dimension; and constructing a shaping-connection-service collaborative optimization simulation model in a system dimension. The problem that in the prior art, in the development process of a hot stamping anti-collision component, due to unreasonable design, structural lightweight is insufficient is solved; the material deformation behavior is accurately represented by constructing a forming-service material model inheriting the forming history, the part material thickness and forming process parameters are reasonably determined by constructing a machine learning agent model based on scalar representation, and the number and distribution of welding spots are scientifically planned by constructing a forming-connection-service collaborative optimization simulation model. Through the whole period from forming to connection to service, collaborative optimization is achieved in multiple dimensions of materials, parts and a system, and the weight reduction potential of the hot stamping anti-collision component is exerted to the maximum extent.

The invention relates to a quality control method in a processing process of a glass fiber sleeve in the technical field of new materials, which comprises the following steps: aiming at a specific distribution area of material deformation, adjusting local pressure distribution parameters of processing equipment, obtaining surface flatness data of the adjusted material, and determining whether the deformation control capability reaches a preset standard or not; if the line definition degree does not meet the preset requirement, obtaining adjusted line image data by adjusting the cooling measure strength of a shaping link, and determining the improvement amplitude of the line definition degree; according to the improvement amplitude of the line clarity, continuously optimizing cooling parameters of a shaping link to obtain final line durability performance data, and judging whether the line stability meets production requirements or not; and for the fluctuation range of the grain quality between batches, obtaining optimized production data by adjusting comprehensive parameters of processing and shaping links, and determining a final improvement result of the surface quality consistency.

The invention discloses a thermal deformation control method for hot gas bulging forming of ultrahigh-strength steel. According to the method, the temperatures of a fillet area and a central area of a mold are controlled to be lower than the temperature of a non-deformation supporting area in the axial material supplementing and radial forming stage; bulging is conducted through a dynamic air pressure curve, the strain rate is inversely calculated in real time based on the wall thickness measured through laser, and the strain rate is stabilized within the critical range through closed-loop feedback; meanwhile, the temperature of the pipe blank is monitored in real time through a thermal infrared imager and compared with a target value, and the deviation is controlled within + / -5 DEG C by adjusting a mold temperature control unit; according to the method, the dynamic air pressure curve is introduced and is cooperatively controlled with the strain rate in real time, so that the deformation rate of the material in the whole bulging process is always stabilized in the optimal critical plasticity interval, the deformation capacity of the ultrahigh-strength steel at the high temperature can be fully exerted, the uniformity of wall thickness distribution of a component can be greatly improved, and the deformation rate of the ultrahigh-strength steel at the high temperature can be improved. And local excessive thinning or fracture caused by out-of-control strain rate is avoided.

The invention provides a friction stir welding virtual simulation and control method and system based on digital twinning, and relates to the technical field of friction welding.The method comprises the steps that vibration signals are collected and analyzed through an embedded acceleration sensor array, welding area images are collected at the same time, welding seam features are extracted, comprehensive simulation data are formed, and the simulation data are analyzed; and then material deformation behaviors are calculated, flow constraints and interface combination constraints are constructed, and a dynamic compensation mechanism is established to control tool head parameters. Abnormal welding can be effectively recognized, welding parameters are adjusted in real time, the welding quality and efficiency are improved, and the defect rate is reduced.

The application discloses a material deformation displacement calculation method and a calculation system. The method comprises the following steps: in response to obtained design parameters, a corresponding structure and a geometric model are constructed, and a stiffness matrix K and a load matrix F are generated; the stiffness matrix K is stored in a sparse form by row compression, the load matrix F is input, and a Krylov subspace dimension m, an initial value U0 and an allowable error ε are selected; a set of standard orthogonal bases of the Krylov subspace is constructed; the best approximation U of the displacement in the Krylov subspace is calculated m ; the residual ||F-KU m || is calculated, and if the residual is less than the allowable error ε, the best approximation U m is output as the material deformation displacement; if the residual is greater than the allowable error ε, the best approximation U m is taken as a new initial value, the Krylov subspace is updated, and the material deformation displacement is recalculated. The application provides a stiffness calculation method which can be flexibly deployed and efficiently parallel, and realizes acceleration of finite element analysis.

The invention discloses a temperature control intelligent material deformation response control method, system and equipment, and relates to the technical field of intelligent material detection, and the method comprises the steps: when an initial value and a final value are different when a plurality of temperature measurement values are arranged according to a time sequence, according to a first difference value of a set value and the final value and a second difference value of the set value and the initial value, calculating the deformation response of the temperature control intelligent material; obtaining a temperature change rate; and the temperature change rate is input into a current increment model used for adjusting current acting on the temperature control intelligent material, and the current increment enabling the material deformation response speed to meet the requirement is obtained. According to the invention, the temperature control intelligent material can generate ideal deformation response in time according to the temperature change condition acting on the temperature control intelligent material.

The utility model discloses a low-deformation carbon fiber plate production device which comprises a base, a first roll shaft and a second roll shaft are arranged on the base, an anti-deviation mechanism is sleeved on the first roll shaft and comprises a limiting disc and a moving ring, the moving ring is in threaded connection with a limiting screw rod, and the limiting disc is sleeved on the second roll shaft. One end of the first roll shaft is in threaded connection with a first bidirectional lead screw, the other end of the first roll shaft is movably connected with a first guide rod in an inserted mode, and the second roll shaft is connected with a second bidirectional lead screw and a second guide rod. The device is scientific and reasonable in structural design, limiting mechanisms composed of limiting discs and moving rings are arranged on the first roller shaft and the second roller shaft, the positions of the limiting mechanisms can be conveniently adjusted under the action of limiting screws, materials can be prevented from deviating towards the side face during traction through the limiting mechanisms, the deformation amount of the materials is small, and the service life of the materials is prolonged. And the forming effect of the carbon fiber plate is further ensured.

This utility model relates to a nut anti-loosening structure for a needle roller bearing. The nut anti-loosening structure includes a needle roller bearing, a support shaft, an anti-loosening washer, and a nut. One end of the support shaft is interference-fitted with the inner ring of the needle roller bearing, and the other end is adapted to the anti-loosening washer. The anti-loosening washer has a D-shaped through hole, through which it is fitted onto the support shaft. The nut is fitted onto the support shaft and abuts against the anti-loosening washer. The solution provided in this application can form a non-circular fit between the D-shaped anti-loosening washer and the support shaft, and replaces "friction anti-loosening" with "mechanical hard limiting," eliminating the need for material deformation or chemical anti-loosening agents. It is particularly suitable for high-load, high-speed, frequent start-stop, or drastic temperature changes, effectively reducing equipment failures caused by nut loosening, improving production efficiency, and is simple in structure, requires no frequent maintenance, is environmentally friendly, and has low cost.

The utility model provides an alignment device for welding, which relates to the technical field of profile steel production and comprises a placing table, a limiting component and a moving component are arranged in the placing table, a steel body is lapped on the surface of the limiting component, and a welding component is mounted on the surface of the placing table; and the limiting assembly comprises a moving plate, a supporting plate, a rotating plate, a connecting rod and a movable plate, the supporting plate is fixed to the surface of the moving plate, the rotating plate is rotationally connected to the upper surface of the moving plate through a pin shaft, and the rotating plate is located below the supporting plate. According to the alignment device for welding, the steel body can be limited through the limiting assembly, movement of the steel body in the moving or welding process is avoided, it is ensured that all splicing parts can be accurately aligned during welding, and therefore the dislocation phenomenon is reduced, and the welding precision is improved; and material deformation caused by thermal expansion or welding stress can be prevented, so that the straightness of the welded steel body is improved.

One embodiment of the present invention provides a method for constructing a database on deformation and stress of a material, the method comprising: a step of generating a probability-based model in which the irregular distribution of elements is reflected; a structure optimization step of optimizing the structure of the model; a deformation calculation step of creating a series of strained models by deforming the optimized model, and calculating physical properties in the desired direction; and a data analysis step of extracting a tensile test result by using the calculated data. Therefore, a prediction about the physical properties of a material to be developed is provided so that experiments can be efficiently planned and empirical trials and errors can be reduced.

The invention relates to the technical field of bolt manufacturing, in particular to a high-temperature alloy bolt warm upsetting-rolling process parameter collaborative detection optimization method. According to the method, the energy dissipation data is obtained by calculating the difference value between energy input and heat accumulation in the warm upsetting stage, the rolling starting torque reference is determined through the dissipation rate, direct constraint of the warm upsetting heating power state on the rolling initial load is established, the problem of cross-process parameter splitting is solved, and meanwhile, the energy dissipation rate is improved. The energy density evolution trend of a rolling shaping area is deeply analyzed, forming, stabilizing and attenuation stages are divided, response intervals of errors of energy gradient, torque, linear speed and the like are constructed, load characteristics in the material deformation process are accurately mastered, and finally, energy characteristics of warm upsetting and rolling are fused and input into a support vector machine model, so that the material deformation precision is improved. According to the method, key quality indexes such as the pitch diameter, the thread angle and the hardness of a thread are predicted, rolling parameters such as driving current and preloading force are reversely corrected according to prediction deviation, and closed-loop dynamic control over the forming quality is achieved.

The application provides an additive manufacturing method of an aluminum matrix composite component, and relates to the technical field of additive manufacturing, and comprises the following steps: depositing an aluminum matrix composite rod on a base plate material in a friction extrusion deposition mode to obtain an aluminum matrix composite component. It should be noted that the raw material rod undergoes multiple material deformation, reinforcing phase dispersion and crushing processes during the friction extrusion deposition process. These processes continuously promote material grain refinement, reinforcing phase dispersion and crushing, so that the deposited component has an equiaxed fine-grained structure, and the reinforcing phase is uniformly distributed in the matrix, which helps to improve the hardness, strength and wear resistance of the deposited material.

The invention discloses a material deformation simulation parameter measurement method and device based on a GISSMO failure model, a computer system and a storage medium. By combining experimental data with simulation calibration of a GISSMO failure model, high-precision parameterization representation of material deformation and fracture behaviors is realized. A real stress-strain curve (including an elastic stage and a plastic stage) obtained by a tensile fracture experiment is compared with a simulation curve (including an elastic stage, a plastic stage and a failure stage) output by a GISSMO model, so that the full-process simulation precision of the material from elastic deformation and plastic flow to fracture failure is ensured; and the problem of rigidity overestimation or deformation prediction deviation caused by neglecting the failure stage in the traditional method is solved.

This invention belongs to the field of carbon fiber composite material processing technology and discloses a method for ultrasonic cutting of preformed composite materials. This method involves pre-measuring the angle α between the opposite cutting edges and the angle β between the same cutting edges of the blade. During the cutting process, the angle A between the blade's travel direction and the fiber direction is controlled, and the angle between the blade axis and the travel direction is dynamically adjusted from an acute angle to an obtuse angle. For cutting concave arc surfaces, the maximum tilt angle of the blade is controlled to be greater than α / 2, and the cutting edge is made parallel to the tangent at the cutting position to disperse the cutting force. For planar cutting, the maximum tilt angle is controlled to be α / 2, so that the cutting edge fits the plane. This invention effectively reduces the compression of the composite material by conforming to the shape angle during cutting, avoiding problems such as material deformation, step differences, and overcutting.

This invention belongs to the field of tumbling finishing technology and aims to solve the problem that current residual stress simulations struggle to simulate workpiece surface material deformation. It provides a method for predicting residual stress in tumbling finishing based on elastoplastic deformation theory, comprising the following steps: equating a blank three-dimensional array to the workpiece's target region; constructing an EDEM simulation model and extracting contact information between the particulate medium and the workpiece; calculating the maximum overlap based on the contact information and dividing the collision into stages; calculating the contact stress distribution corresponding to the overlap at different collision stages; calculating the elastic stress field distribution of the target region at different collision stages based on the contact stress distribution and converting it into elastic loading stress for plastic correction; after loading, calculating the internal stress distribution under the cumulative action of all activated units in the blank three-dimensional array to obtain the residual strain and residual stress of the target region. This invention can simulate the deformation of workpiece surface materials, improving the accuracy of the simulation.

This invention relates to a dynamic optimization and mold condition assessment method for the stamping process of radiators in the field of information technology. The method includes: acquiring real-time pressure distribution data and real-time strain data of the sheet metal in key areas of the mold during the stamping process; predicting the material deformation trend using a preset deformation prediction model based on the real-time pressure distribution data and the real-time strain data; determining whether the material deformation trend exceeds a preset tolerance threshold; if the material deformation trend exceeds the tolerance threshold, generating a new combination of process parameters through reverse calculation; sending the new combination of process parameters to the stamping equipment control system for dynamic adjustment; acquiring actual size measurement data of the processed product; associating the actual size measurement data with the process parameter adjustment record and inputting it into a mold wear assessment model; and outputting the current mold wear condition assessment result through the mold wear assessment model.