581 results about "Machining toolpath" patented technology

The invention relates to the technical field of information, in particular to a high-precision thread machining method and system for an electronic cigarette connecting column in the technical field of precision hardware machining.The method comprises the steps that temperature distribution data of a material in the machining process is obtained, the thermal deformation amount is calculated through a heat conduction model, and a pre-compensation offset value is generated in combination with thread geometrical characteristics; an initial machining path adjusting scheme is obtained; extracting a multi-axis linkage moving trajectory from the initial processing path adjustment scheme, analyzing the change trend of the speed and acceleration of each axis in the trajectory, and judging dynamic error distribution characteristics to obtain an error distribution prediction map; obtaining geometric accuracy data of each key point in the machining path adjusted in real time, and analyzing a mapping relation between machining parameters and accuracy through a quality prediction model to obtain a parameter optimization suggestion table; and extracting a deviation value of the current processing parameter from the parameter optimization suggestion table, updating a control instruction of the processing equipment in combination with a closed-loop coordination mechanism, and generating a dynamically adjusted processing parameter set.

The invention relates to a shaft linkage curved surface component machining path real-time control method, system and device, and the method comprises the steps: obtaining geometric data and machining process parameters of a shaft linkage curved surface component, and carrying out the shaft linkage decomposition to obtain a multi-shaft linkage machining path; real-time operation parameters of machining equipment and tool workpiece contact data are obtained, deviation matching is conducted on the multi-axis linkage machining path, and a real-time axis control instruction set and an axis position compensation trend curve are obtained; performing path optimization on the shaft position compensation trend curve according to the real-time shaft control instruction group to obtain an initial shaft linkage adjustment scheme; performing curved surface precision evaluation on the tool workpiece contact data, and performing curved surface prediction in combination with the axis position compensation trend curve to obtain a curved surface quality prediction area; and performing coordinated optimization on the initial axis linkage adjustment scheme according to the curved surface quality prediction area to obtain an axis linkage optimization processing strategy. It can be guaranteed that efficient operation can be achieved in different machining states, and path deviation in the machining process is reduced.

The invention discloses a numerical control machining path control system based on artificial intelligence, particularly relates to the field of numerical control machining, is used for solving the problems of continuity and stability of a curvature mutation area in cutter path planning, and accurately captures global and local geometric characteristics of a curved surface through a curvature constraint feature matrix and a curvature adaptive convolutional network. A machining track meeting the differential geometric continuity is generated, and the problem of path breakage of a curvature sudden change area is effectively avoided; meanwhile, energy scale criteria and curvature manifold constraints are introduced, the machining track is dynamically repaired, geometric repair and physical stability are balanced, cutting force sudden change and stress concentration are reduced, and therefore the machining reliability is enhanced; in addition, through finite element simulation of the digital twin platform and synchronous updating of servo system parameters, dynamic closed-loop matching of a control instruction and a machining state is achieved, and the control efficiency and the surface quality are further optimized. And therefore, high-precision, high-stability and high-efficiency collaborative optimization is realized in complex curved surface processing.

The invention relates to the technical field of intelligent laser processing path planning, and discloses a laser flight processing path planning method and device for a complex curved surface, and the method comprises the steps: obtaining the geometric continuity features of the curved surface, carrying out the region division and boundary feature extraction, obtaining the geometric features of the boundary points of each region, and obtaining the geometric features of the boundary points of each region; performing track generation based on boundary geometric features to obtain an initial processing track path, then performing heat accumulation analysis and track screening, identifying a track section needing to be adjusted, executing multi-target path scheduling optimization, and obtaining adjusted track execution feature data; processing sequence optimization is carried out based on the feature data, and an optimized processing sequence is obtained; performing thermal input analysis and parameter correction according to the processing sequence to obtain an updated processing parameter set; and finally, performing global coordination based on a simulated annealing algorithm, generating a final processing track set, completing track optimization and instruction set generation, and outputting a complete processing scheme. According to the method, the problem of insufficient track fitting degree can be solved.

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

The invention discloses a milling path automatic generation method based on reinforcement learning, and relates to the technical field of machine tool machining, and the milling path automatic generation method comprises the following steps: step 1, defining action output; step 2, defining state input including a cutter state, a global observation space and a local observation space; 3, defining a reward function; value feedback given to the intelligent agent by the environment according to the current state and action is determined through the reward function; 4, setting deep neural networks including a feature extractor, a strategy network and a value network; 5, constructing a process autonomous generation model and a machining process world model; step 6, strategy training; step 7, outputting a strategy, and autonomously completing a machining process flow; by means of the method, the problems that in the prior art, manual experience dependence is too heavy, local optimization limitation is remarkable, and physical simulation efficiency is insufficient are solved.

The invention discloses a numerical control machine tool machining path optimization method based on artificial intelligence. The method comprises the steps that S1, a complete input data set needed by an optimization model is generated; s2, according to the complete input data set, constructing a multi-objective optimization model for numerical control machine tool processing path optimization; s3, forming a fuzzy decision basis of the optimization target; s4, determining an initial processing path optimization solution set; s5, generating an improved optimal solution set of the processing path; and S6, checking the improved optimal solution set of the machining path, checking whether the machining path meets the kinematics limitation of the numerical control machine tool, the precision requirement of the machined workpiece and the process constraint of the dynamic machining environment or not, and generating a machining path instruction of the numerical control machine tool after the machining path is checked to be qualified. According to the method, the integration of checking and instruction generation is realized, and the reliability and accuracy of path execution are effectively improved.

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

The invention relates to the technical field of control systems, and discloses a self-adaptive control system and method for a five-axis numerical control machine tool, machining data and a machining program are controlled through a simulation interaction module, and the state and the machining data of the machine tool are displayed in real time through an interaction display strategy; the sensing monitoring module obtains machining data in the machining process in real time and transmits the machining data to the path judgment module and the simulation interaction module through a data transmission strategy. The path judgment module judges the machining path of the five-axis numerical control machine tool according to the machining data through a path generation strategy, so that the machining efficiency and quality are improved; the motion control module generates a motion control instruction of the five-axis numerical control machine tool according to the machining program and the machining path of the five-axis numerical control machine tool through an instruction generation strategy, accurately drives the five-axis numerical control machine tool to move, and ensures the machining precision; the safety monitoring module monitors the state of the machine tool in real time, and if the five-axis numerical control machine tool is abnormal, an abnormity processing strategy is executed.

The invention provides a five-axis numerical control machine tool processing simulation method and system, and the method comprises the steps: obtaining a three-dimensional model and key parameters inputted by a user, and building a structure tree model of a five-axis numerical control machine tool based on the three-dimensional model and the key parameters; a machining file of the five-axis numerical control machine tool is obtained and analyzed, and a machining path and technological parameters of the five-axis numerical control machine tool are obtained; based on the key parameters and the machining path, motion stroke detection of the five-axis numerical control machine tool is carried out; based on the three-dimensional model, the structure tree model, the processing path and the process parameters, collision detection of the five-axis numerical control machine tool is carried out; and displaying the three-dimensional model and the obtained motion stroke detection result and collision detection result. By means of the method, simulation of the machining process of the five-axis numerical control machine tool can be conveniently achieved, and therefore the universality, efficiency and accuracy of machining simulation of the five-axis numerical control machine tool are improved.

The invention relates to a lithium battery multi-axis linkage rotary laser processing control method and related equipment, and the method comprises the following steps: carrying out the three-dimensional modeling based on a battery surface image, and obtaining a battery three-dimensional model; mapping the vectorized carved pattern information to a predetermined area in the battery three-dimensional model to obtain carved pattern information; based on the carved pattern information and the battery three-dimensional model, laser processing path planning is carried out, and a planned processing path is obtained; based on the planned processing path, obtaining a motion control instruction of multi-axis linkage rotary laser equipment on each axis of the target lithium battery; the output power of the multi-axis linkage rotary laser equipment is controlled in real time based on the motion control instructions of all the axes, laser power stable control parameters are obtained, and the problems that a traditional machining method has many limitations in the aspects of precision, efficiency and adaptation to complex shapes are solved; and the requirements of modern industry on high quality and high precision are difficult to meet.

The invention discloses a control system for improving the numerical control machining precision of a bionic unmanned aerial vehicle wing, and relates to the professional technical field of numerical control machining, and the control system specifically comprises a multi-dimensional sensing module, a digital twin model construction module and a numerical control machining precision improvement module, the multi-dimensional sensing module acquires geometric and material states and dynamic response data through a high-precision sensor cluster and realizes space-time consistency, the digital twin model building module comprises geometric modeling and physical attribute modeling, and is used for predicting the service life of a tool by combining an Archard wear model based on laser scanning point cloud and CAD (Computer Aided Design) model registration compensation pose deviation. And meanwhile, a five-axis machine tool multi-body dynamic model is established, a numerical control machining precision improving module dynamically divides sub-routes, establishes an error prediction model, corrects a machining path in real time, regulates and controls monitoring frequency according to geometric errors, thermal errors and material damage errors, triggers a cooling system to enhance or bypass a damage area, and guarantees machining precision.

The invention relates to an irregular workpiece processing and positioning method and system combined with machine vision, and the method comprises the steps: firstly obtaining a multi-view image data set which completely covers different areas of the surface of a to-be-processed workpiece, and providing rich and complete original materials for subsequent processing; three-dimensional reconstruction processing is carried out on the multi-view image data set, and generated three-dimensional model data can visually and accurately present the three-dimensional form of the workpiece to be machined; then a spatial feature set is extracted from three-dimensional model data, the spatial features of the workpiece can be deeply described from multiple dimensions, and a comprehensive and meticulous basis is provided for accurate positioning; and finally, the spatial feature set and a preset workpiece machining reference model are subjected to feature matching processing, generated positioning information can effectively drive machining equipment to execute workpiece machining path adjustment operation, the actual form of the workpiece can be dynamically adapted, the machining path is optimized, the machining precision and efficiency of the machining equipment are improved, and the machining efficiency is improved. And high-quality completion of workpiece machining is guaranteed.

The invention discloses a diamond cutter path error compensation method based on cutter wear evolution, which comprises the following steps: S1, multi-modal sensor data acquisition and processing: in the machining process, key state information between a diamond cutter and a workpiece is acquired in real time through a multi-modal sensor; s2, tool wear modeling: key geometric parameters and evolution trend of tool wear are extracted from the collected and processed data, and tool wear modeling is carried out. And S3, artificial intelligence prediction of the abrasion loss: training a tool abrasion prediction model based on a deep learning network structure. And S4, tool path compensation is conducted, specifically, the predicted abrasion loss and the actual free-form surface model are combined, the tool path compensation amount and the compensated control point coordinates are calculated, a new machining path is generated, and dynamic compensation of tool cutting edge abrasion is achieved. And S5, system integration and closed-loop control: integrating the steps on processing equipment, and realizing real-time data interaction and synchronization through a unified data protocol.

The invention discloses a Solidworks model-based machining program generation method and system, and belongs to the technical field of computer-aided manufacturing, and the method comprises the steps: S1, analyzing the modeling features of each part in a Solidworks model, carrying out the matching analysis of the modeling feature sketch contour and sketch plane normal vector with a feature library, obtaining a machining feature category, and carrying out the recognition of the machining feature category; performing feature grouping according to the processing feature category and the processing direction; s2, identifying and extracting the part size and tolerance marked in the sketch; s3, analyzing a part machining process based on the machining feature category, the part size and the tolerance; s4, the blank type, machining allowance distribution, machining steps and a clamping mode are determined; s5, the three-dimensional space coordinates of the machining contour are converted into machine tool machining coordinates, and machining information is sequenced; s6, the machining path of the part machining technology is calculated; and S7, according to the machining path, combining with an instruction supported by a specific machine tool, performing post-processing to generate a G code.

The invention relates to the technical field of path control, in particular to a combined path and laser processing planning method based on machine vision, which comprises the following steps: acquiring an image by an industrial camera to extract contour measurement parameters to identify defective materials, setting path start-stop optimization connection smooth obstacle avoidance based on a feature table, and detecting a dynamic adjustment range of a hot area. And according to the adaptive group setting threshold evaluation capability, the delay prediction adjustment power speed is calibrated, an instruction set is called to compensate, predict and correct error dynamic matching, and an optimal processing path and a synchronous processing setting table are output. According to the method, the workpiece image is obtained in real time, the machining features are analyzed, the machining precision and efficiency are improved, fine control in the machining process is achieved, effective cooperation of path planning and machining parameters is ensured, the problem of mismatching of path planning is avoided, the response precision and stability in the machining process are improved, and the machining precision and efficiency are improved. The processing quality and time management are remarkably improved, and low efficiency and quality fluctuation caused by manual adjustment in the prior art are avoided.

The invention discloses an alloy part small-deformation machining path planning method and system, and the method comprises the steps: obtaining machining parameters, and building a part rigidity evolution prediction model based on a material removal process; carrying out residual stress testing on the surface of the blank, and constructing a part residual stress initial distribution model; performing multi-physics field coupling on the part rigidity evolution prediction model based on the material removal process and a constructed part residual stress initial distribution model to obtain a coupling model, simulating the material removal process under a preset processing path, and correcting part deformation predicted by the coupling model through simulation experiment data; and a small-deformation machining path is obtained based on the mapping relation between the part deformation and the machining path. Through staged rigidity calculation and stress partitioning, the deformation prediction precision is improved.

The invention relates to a machining path planning system, in particular to the technical field of intelligent manufacturing and numerical control machining, and overcomes the defect that a thermal coupling effect is ignored in traditional geometric planning by constructing an evolution model fused with a physical law. A dynamic decoupling algorithm is utilized to extract a real cutting load from multi-source data and reconstruct a rigidity field changing along with material removal in real time, the problem that a physical boundary is difficult to perceive under a complex working condition is solved, and the system effectively eliminates size out-of-tolerance caused by heat accumulation through transient deformation advanced prediction. According to the method, the non-linear error is actively counteracted in cooperation with a reverse compensation strategy based on sensitivity analysis, the machining precision and surface quality of the thin-wall weak-rigidity part are remarkably improved, the rejection rate and trial cutting cost are reduced, and intelligent closed-loop control over the manufacturing process is achieved.

The invention relates to the technical field of intelligent machining, in particular to a machining simulation verification method and device, computer equipment and a storage medium. The machining simulation verification method comprises the steps of generating an initial machining program code of a to-be-machined object based on machining equipment and a machining path; calling a second simulation program, determining a target machine tool model matched with the machining equipment in the second simulation program, and performing machining simulation on the to-be-machined object based on the initial machining program code and the target machine tool model to obtain a machining simulation result; adjusting the machining equipment and the machining path based on the machining simulation result; and performing machining simulation on the to-be-machined object based on the new machining program code and the target machine tool model until an obtained new machining simulation result meets a preset condition, and determining the current machining program code as a target machining program code of the to-be-machined object. A method for manufacturing industry machined product yield is provided.

The invention provides a workpiece machining path compensation method and system based on multi-vision cooperative localization, and relates to the technical field of workpiece machining.The method comprises the steps that a compensation reference coordinate system of a workpiece machining path is established; determining a theoretical machining path of the workpiece according to the CAD model and the process planning of the workpiece, and mapping the theoretical machining path to the compensation reference coordinate system; performing global coarse compensation on the theoretical processing path to generate a global compensation amount and a global compensation path; performing local compensation on the global compensation path according to the local point cloud to obtain a local compensation amount and a local compensation path; according to the cutting parameters of the workpiece, the local compensation path is subjected to flexibility compensation, and the flexibility compensation amount is obtained; under the compensation reference coordinate system, compensation quantity fusion is carried out on the global compensation quantity, the local compensation quantity and the flexibility compensation quantity, and a final compensation path is generated; and executing the final compensation path. According to the method, the execution precision and stability of the machining path and the adaptability to complex machining working conditions are remarkably improved.

The invention relates to the technical field of machining control, in particular to an intelligent planning system and method for a multi-axis linkage numerical control machining path, and the system comprises a data collection unit which is used for obtaining the form attribute parameter information of a machined workpiece and the axial motion attribute parameter information of a multi-axis machining unit; and the initial division unit is used for performing initial division on a workpiece machining range according to the morphological attribute parameter information and the axial motion attribute parameter information to obtain an initial segmentation result and an initial trajectory planning result of the machining range, and the initial trajectory planning result comprises coordinate information of each trajectory segment. The collision condition between the motion path of the cutting tool and the feature range of the workpiece can be checked in real time through the collision checking unit, and the path is automatically adjusted through the collision avoidance unit, so that possible machining errors and equipment damage are avoided, and the machining safety and stability are greatly improved through intelligent collision avoidance.

The invention discloses a numerical control machine tool dynamic characteristic matching and machining path planning method and system for efficient cutting, and relates to the technical field of intelligent manufacturing and numerical control machining path optimizing.The method comprises the following steps that on the basis of a CAD three-dimensional drawing of a machined part, the CAD three-dimensional drawing is imported into CAM software, the machined surface and the non-machined surface of the part are determined, and the machining surface and the non-machined surface of the part are matched; various machining schemes and technological parameters of different machining faces of the part are generated through CAM software in combination with drawing parameter requirements; and for the generated machining schemes under the process parameters of the different machining surfaces, the machining rigidity and vibration parameters are calculated in combination with part material data, and meanwhile, the standard rigidity and vibration parameters of the current numerical control machine tool are collected. According to the method, the dynamic performance of the numerical control machine tool is combined, the tool path planning in the CAM programming process and the technological parameters are matched, and tailoring and force measuring are carried out according to numerical control programming of different machine tools.

The invention belongs to the technical field of three-dimensional measurement and weld joint processing, and discloses a weld joint feature recognition and path extraction method based on line laser measurement. According to the full-automatic welding seam shape extraction method, an automatic measurement part before welding seam polishing and other machining steps can be achieved, after a robot measures the position of a welding seam, welding seam shape extraction can be achieved, the position of the center line of the welding seam can be calculated, and therefore a machining path is obtained; and the robot can be directly guided to process the welding seam through the hand-eye matrix. In addition, the welding width and surplus height characteristics before and after welding seam machining can also be calculated and compared. After the welding width and the excess weld metal are calculated, the machining parameters can be further calculated, and the whole method provides technical support for automatic welding seam machining.

The invention discloses a turning and milling switching technology, and aims to provide an end face turning and milling automatic switching control method which is characterized by comprising the following steps: S1, monitoring turning and milling machine tool modes in real time; s2, transmitting real-time data to a central control unit; s3, switching mode judgment; s4, controlling conversion of turning and milling modes; s5, stability monitoring in the turning and milling mode process; s6, optimizing a dynamic processing path; s7, thermal deformation compensation control; and S8, final detection. Compared with the prior art, the end face turning and milling automatic switching control method has the advantages that dynamic optimization of turning and milling automatic switching combined machining is achieved by establishing a full-process intelligent monitoring and self-adaptive control system; the invention is suitable for the technical field of turning and milling switching.

The invention belongs to the technical field of gear precision machining, and particularly relates to a high-precision machining method for a complex curved surface gear, which comprises the following steps: acquiring a gear three-dimensional model and planning an initial machining path; tooth profile errors are predicted based on the path, and real-time dynamic compensation is conducted in the machining process; predicting a heat treatment deformation trend based on the compensated motion trail and the real-time data; adjusting heat treatment process parameters according to the predicted deformation trend; and detecting the final state of the gear after heat treatment, and updating the error prediction and compensation model according to a detection result. According to the method, real-time error compensation in the machining process is associated with predictive control of heat treatment deformation to form a closed loop, the problem that in the prior art, machining precision and structural stability after heat treatment are difficult to cooperatively guarantee is solved, and high-precision and high-reliability unified manufacturing of the complex curved surface gear is achieved.

The invention relates to an intelligent avoiding and load balancing method for double-spindle machining of a high-speed engraving and milling machine in the technical field of intelligent manufacturing, which comprises the following steps of: performing comparative analysis by adopting a preset safety threshold according to the dynamic change trend of the distance between spindles, and if the distance is detected to be lower than the safety threshold, triggering a collision risk control module, determining a potential interference area range; aiming at the determined interference area range, generating a temporary avoidance path of the double spindles through a processing path planning algorithm, obtaining adjusted motion track data, and judging whether the interference area can be avoided or not; aiming at the corrected path execution instruction, analyzing the distribution condition of the current processing task through an area distribution optimization module, obtaining the working load data of the double spindles, and judging whether the load is balanced or not; and according to the latest collaborative operation data, the operation efficiency and the machining progress of the double spindles are analyzed through a machining efficiency improving module, optimized operation parameters are obtained, and a final machining execution strategy is determined.

The invention discloses a high-precision part machining path planning method based on artificial intelligence optimization, and the method comprises the following steps: generating a first three-dimensional geometric model of a to-be-machined part, carrying out the curved surface division, and obtaining a manufacturing feature point according to a division result; determining a processing placement surface for the first three-dimensional geometric model according to the manufacturing feature points, and performing processing element positioning and shaping to obtain a second three-dimensional geometric model; processing path preliminary planning is carried out, optimization is carried out based on mixed # imgabs0 # equilibrium by using a neural network, and a second planning processing path is output; performing path optimization based on a Gaussian distribution function and a cubic # imgabs1 # spline curve to obtain a third planning processing path; and simulation verification is carried out, path adjustment and optimization are carried out by adopting a hierarchical optimization ant colony algorithm according to a verification result, and a final planning processing path is output. The precision, the efficiency, the flexibility and the adaptability in the high-precision part machining process are improved.

The invention relates to the technical field of machining path planning, in particular to a graphite micropore femtosecond laser machining path planning method based on AI visual localization, which comprises the following steps: S1, acquiring an image of the surface of a graphite workpiece through an industrial camera, and preprocessing the image; s2, processing the image based on an AI visual identification model, and extracting microscopic features of the graphite surface and position coordinates of a preset processing area; s3, based on the extracted feature coordinates and preset micropore design parameters, an initial path of femtosecond laser processing is generated through a path optimization algorithm; and S4, the optimized machining path is converted into a laser galvanometer control instruction, and femtosecond laser is driven to complete micropore machining. According to the method, on the basis of path optimization of the improved grey wolf algorithm, through dynamic weight adjustment, in a multi-taboo area scene, the idle running time of the laser galvanometer is effectively shortened, and the machining efficiency is improved.

The invention relates to a method for detecting the gradient of a plane and optimizing the machining precision, and the method comprises the following steps: (1), carrying out the preliminary path collection processing of the plane at the current position before the actual machining; (2) carrying out optimal feature point selection based on the acquired data set; (3) carrying out plane fitting processing based on the selected optimal feature point; (4) calculating a normal vector of the current position plane and a corresponding base vector based on the selected optimal feature point; (5) constructing a local coordinate system based on the current position, and calculating transformation between the local coordinate system and the workpiece global coordinate system; and (6) optimizing the machining path of the cutting head according to the local coordinate system. By adopting the method for detecting the inclination of the plane and optimizing the machining precision, the machining path is optimized according to the local coordinate system, so that the machining precision is effectively improved, and errors caused by inclination of the workpiece are reduced.

The utility model discloses a special-shaped lithium strip rolling and shaping device which is sequentially provided with a lithium strip placing mechanism and a special-shaped rolling mechanism along a processing path, the lithium strip placing mechanism is used for placing a lithium ingot; the special-shaped rolling mechanism comprises a first special-shaped roller and a second special-shaped roller which can move towards each other and away from each other, the outer surface of one of the first special-shaped roller and the second special-shaped roller is provided with a circumferentially-arranged convex strip, the outer surface of the other one of the first special-shaped roller and the second special-shaped roller is provided with a circumferentially-arranged groove, and the convex strip and the groove are oppositely arranged. The convex strips are matched with the grooves to press indentations on the lithium strip; after the scheme is adopted, the problem of poor production quality of the existing rolling and shaping device can be solved, the rigidity of a lithium strip can be improved, the tension control of unwinding of the rolled lithium strip can be better controlled, the flowability of lithium can be reduced, the problem of material stacking in the rolling process can be better solved through indentations, the rolling speed can be increased, and the production efficiency and the qualified rate can be improved.