281 results about "Machining deformation" patented technology

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention discloses a preparation method for ensuring thickness uniformity and form and location tolerance of a coating of a slender shaft, the slender shaft is a slender stepped shaft-shaped part, the preparation method comprises base body processing before plating, hard chromium plating and machining after plating, in the base body processing process stage before plating, a center hole is adopted as a processing reference, finish machining is carried out according to the shape of the part, and the thickness uniformity and the form and location tolerance of the part are guaranteed. It is ensured that the form and position error and dimensional tolerance of the machined part meet the requirements; in the hard chromium plating stage, the non-chromium-plated part is protected, and the chromium-plated part is subjected to hard chromium plating; and in the post-plating machining stage, the center hole is adopted as a machining standard, post-plating rough machining is conducted firstly, then post-plating finish machining is conducted, grinding is conducted to meet the design requirement, and a plated workpiece is obtained. By the adoption of the preparation method, the problem of machining deformation of the slender shaft type structural part is thoroughly solved, the machining performance is stable, the production efficiency is high, special equipment and tools do not need to be configured, and the method is suitable for large-scale production and machining.

The invention belongs to the related technical field of robot machining deformation optimization, and discloses a redundant angle and process parameter joint optimization method and device for complex curved surface robot machining, and the method comprises the steps: (1) forming a multi-domain composite constraint by a joint movement limit constraint, a pose singularity constraint and a machining deformation error constraint corresponding to a robot machining system; carrying out fusion modeling in the redundant angular space based on multi-domain composite constraints so as to map constraints of different dimensions in different spaces into a unified fusion potential field; (2) establishing a kinetic equation taking a virtual torque generated by the fusion potential field as driving input, sequentially solving based on the obtained kinetic equation and a numerical solution method to obtain a redundant angle of each cutter location point, and then obtaining a continuous and smooth redundant angle track; and (3) based on the obtained redundant angular trajectory, performing iterative solution on the optimization model by using an optimization algorithm to obtain an optimal processing parameter combination. According to the method, collaborative optimization of the process parameters and the redundant corners is realized.

A follow-up auxiliary clamping device for suppressing machining deformation. The adsorption support module supports the workpiece by adsorption from the front, thereby improving the local stiffness of the workpiece; the intelligent recognition module collects the local features and position information of the workpiece; the vertical feed module drives the adsorption support module to feed vertically; the feed adjustment module adjusts the feed movement of the vertical feed module to ensure that the adsorption support module and the workpiece are relatively stationary, thereby achieving stable adsorption support for the workpiece; the quick-change fixing module selects the available connection area of the spindle according to the structure of the machine tool spindle head and selects the clamping buckle or magnetic unit according to its geometric structure and parameters, thereby achieving rapid installation and disassembly of the device; the control module processes the local features and position information of the workpiece and controls the operation of each module. The present invention follows the machine tool spindle, effectively reducing the number of times the fixture and auxiliary clamp are assembled and disassembled, improving the local stiffness of the workpiece through front adsorption support, effectively suppressing the deformation and vibration of the workpiece, and achieving low-cost, high-precision and high-efficiency machining of the workpiece.

The present invention discloses an assembled sealed orifice frame for a large-plate square cabin, comprising a corner profile, an extension profile, a positioning block, and a connector. The corner profile and the extension profile are connected to form a rectangular frame, the extension profile is used to extend the horizontal and / or vertical length of the rectangular frame, and the positioning block and the connector are used to connect two adjacent profiles. The corner profile and the extension profile are both hollow structures, the positioning block is inserted into the inner cavity of one of the two adjacent profiles, the positioning block and the profile in which it is located are detachably connected, the two ends of the connector are respectively inserted into the inner cavities of the two adjacent profiles, the connector is coaxially connected to the positioning block, and the end of the connector away from the positioning block is detachably connected to the profile in which it is located. The present invention solves the problems of difficult sealing and processing deformation of the orifice of a large-plate square cabin, and no longer uses a segmented welding method, without the influence of welding stress, thereby improving the overall skeleton strength, especially the strength of the orifice skeleton corner position.

The invention discloses a structure evolution method and system for phase change recrystallization coupling of a multiphase metal material, the orientation during martensite generation is calculated through martensite crystallography, martensite growth is carried out, and then the martensite phase change result of the material in a multiphase state is predicted through a metallographic structure determination method. The method is established by utilizing a geometrical relationship between different crystal structures of alpha and beta titanium during martensite phase transformation of the titanium alloy, so that the method can be suitable for predicting martensite phase transformation and dynamic recrystallization coupling of the two-phase titanium alloy. The method can be used for predicting the proportion of martensite phases generated in the actual production process of titanium alloys of different marks, further predicts the surface performance, can remarkably reduce the cost and improve the simulation and analysis efficiency in the actual industrial production, and has important significance on computer-aided analysis and design in the part machining deformation process.

The invention provides a large-scale complex structural member machining deformation simulation dynamic modeling method, and relates to the technical field of machining and manufacturing, and the method comprises the steps: building an intelligent model, and carrying out the dynamic optimization: building a three-dimensional model, marking an easy-to-deform region, embedding tolerance information, and carrying out the self-adaptive grid division; carrying out multi-source data driven physical modeling, collecting data and correcting material attributes, and constructing an intelligent constitutive model; multi-scale coupling dynamic simulation is carried out, and macro-micro model coupling and machining force dynamic prediction are achieved; and digital twinborn verification and closed-loop control are carried out, deformation deviation is quantified, and machining parameters are optimized. According to the method, the machining mechanical behavior of the large complex structural part can be more accurately simulated by accurately marking the easily-deformed area, embedding tolerance information, performing adaptive grid division, driving and correcting material attributes through multi-source data and constructing the intelligent constitutive model, and the simulation precision is improved.

The invention relates to a preparation process optimization method of a zirconium alloy material with high fretting wear resistance, which comprises the following steps: setting a chemical component optimization range of a zirconium alloy, including specific proportions of tin, iron, niobium, chromium and oxygen elements; establishing a computer simulation model, and predicting the wear volume, tribological stability and microstructure evolution of the material under the fretting wear condition; then, a complete optimization scheme is output based on the model optimization homogenization treatment temperature interval, the hot working deformation range, the cold working cumulative deformation degree and the annealing system; and finally, a preparation process sequence including smelting, homogenization treatment, hot working deformation, cold working deformation and final heat treatment is implemented, the zirconium alloy material with the equiaxed grain structure is prepared, and the wear resistance of the zirconium alloy material is verified through an experimental fretting wear performance test. Compared with the prior art, the method has the advantages that through systematic component design and process parameter simulation optimization, the material performance is remarkably improved, and the application reliability is enhanced.

According to the thin-wall part machining method and device, the computer storage medium and the terminal, for a first change curve of strain energy and machining deformation in the layer-by-layer cutting process, it is ensured that the machining deformation newly added in the cutting process is smaller than the overall machining deformation by one grade with the strain energy reduced by 0.9 or above relative to the initial value as the criterion, and the machining deformation is reduced by one grade; the interference of newly increased deformation of finish machining on the machining precision is effectively restrained; the second change curve of the machining deformation of the part and the cutting thickness value of the part and the process allowance change curve are only fitted within the initial boundary range, and the curve fitting strength is reduced; the finish machining allowance when the second change curve and the process allowance change curve intersect is determined as the optimal finish machining allowance, and the requirements that the newly-added machining deformation corresponding to the finish machining allowance after cutting of each layer is minimum and the finish machining allowance needs to be larger than the deformation amount of previous machining are met; and data support is provided for improving the distribution quality of the finishing allowance.

The invention discloses a milling path planning method and system for stress gradient steepest descent, and the method comprises the steps: carrying out the discretization of a residual stress field based on a lightweight bearing member, and mapping the discretized residual stress field to a milling model, so as to form a high-dimensional matrix; calculating a gradient vector and stress streamline distribution of the residual stress field, and according to the gradient vector and the stress streamline distribution, based on a minimum potential energy principle and a stress steepest descent strategy, performing milling path planning degradation to obtain an optimized baseline; and according to the high-dimensional matrix and the optimized baseline, milling path planning is converted into graph complete traversal with the graph theory as guidance, a steepest descent scheme of strain energy and rigidity is optimized, and an optimal milling path scheme is obtained. The method serves for precision machine manufacturing process design, and the problems of array geometric feature milling path planning and machining deformation control of current lightweight force bearing components are solved; and the method is particularly suitable for light-weight bearing components with array geometric characteristics and high dimensional precision.

The invention discloses a residual stress analysis method and device, a computer storage medium and a terminal.The method comprises the steps that a preset number of initial residual stress distribution data of a thin-walled workpiece blank is generated, and each initial residual stress distribution data is simulated through a finite element model; rough machining deformation field data caused by redistribution of the residual stress after the blank material is removed of each initial residual stress distribution data are obtained; in order to solve the problem that complexity in the manufacturing process needs to be considered when initial residual stress field data is obtained from rough machining deformation field data inversion, a deep neural network model used for determining the mapping relation between initial residual stress data and rough machining deformation data is established according to mapping relation data; rough machining deformation field data of actual machining is input into the deep neural network model, complex theoretical analysis and derivation are bypassed, and on the basis of not damaging the structure of the blank, the initial residual stress field prediction of the thin-walled workpiece blank is achieved.

The invention relates to a method for predicting force-induced deformation of a titanium alloy thin-wall part in an end milling machining process by considering tool wear, and belongs to the technical field of cutting machining. The method comprises the following steps: firstly, constructing an annular cutter milling thin-wall part overall milling force model considering cutter wear; on the basis, a force-induced deformation model of the material removal effect in the end milling machining process of the thin-walled workpiece is established based on a small deflection deformation theory. The model can correct element stiffness matrixes at different feeding positions after materials are removed in the milling process of the thin-wall part, and rapid extraction of force-induced deformation of the thin-wall part is achieved. Finally, an iterative calculation method is adopted, and accurate prediction of cutting force and machining deformation at different feeding positions in the end milling machining process of the thin-walled workpiece is achieved. According to the method, the influence of cutter abrasion on the milling force when titanium alloy type difficult-to-machine materials are milled is considered, and the force-induced deformation predicted value after cutter abrasion in end milling of the titanium alloy thin-wall part can be accurately obtained.

The invention discloses a thin-walled workpiece machining deformation prediction method. The thin-walled workpiece machining deformation prediction method comprises the following steps that S1, a time change model of the machining process of a thin-walled workpiece is established; s2, matching the cutting load point cloud with the geometric point cloud of the part; s3, a graph reconstruction process of the overall stress point cloud of the part; s4, processing deformation prediction based on depth map convolution; part geometry and actual cutting load data are modeled into a point cloud model in a three-dimensional space, the point cloud model and the point cloud model are effectively combined through point cloud matching, and accurate characterization of overall stress of the part in the cutting process is achieved. Thirdly, reconstructing the point cloud of the overall stress of the part into a graph model, taking points in the point cloud as nodes of the graph model, and taking an influence relationship between cutting loads as edges of the graph model, so as to realize simulation of geometric and stress changes of the part in the cutting process; and finally, designing a depth map convolution network, and realizing prediction of graph node attributes, namely processing deformation, by combining graph convolution operation with a multi-layer perceptron.

The invention discloses a processing information analysis optimization method for furniture manufacturing and a related device, and relates to the technical field of data processing, and the method comprises the steps: carrying out the order splitting of furniture model data, and obtaining the part data of target furniture; performing machining deformation prediction based on initial machining process information determined by the part data and the cutting temperature model to correct the initial machining process information; processing equipment scheduling analysis is carried out based on the target processing technology information; performing equipment state detection on the target scheduling processing equipment based on the target processing technology information in combination with response surface modeling; adjusting the target processing technology information based on the equipment state detection information; furniture manufacturing analogue simulation is carried out based on the adjusted target processing technology information to optimize the processing technology information, and the control equipment carries out furniture manufacturing according to the optimized target processing technology information. According to the method, the reliability of processing technology information analysis can be guaranteed, and the manufacturing and processing of furniture are closer to an ideal effect.

The invention discloses a thin-walled workpiece machining deformation prediction method based on multi-source coupling residual stress, which comprises the following steps of: 1, obtaining a milling residual stress layer depth distribution curve under different machining parameters in a feeding coordinate system, and determining the position of a part surface calculation point in a workpiece coordinate system in a milling path, the milling residual stress in the feeding coordinate system is converted into equivalent milling residual stress distribution under the workpiece coordinate system by combining the included angle between the feeding direction and the coordinate axis of the workpiece; 2, based on an equivalent moment method, establishing a redistribution initial residual stress model of the thin-wall part in a bidirectional stress state; 3, according to the coupling characteristics of the plastic deformation area, the elastic recovery area and the elastic deformation area in the depth direction, a surface and subsurface coupling residual stress distribution model of the thin-wall part is established; and 4, on the basis of an equivalent moment method, enabling the coupling residual stress to be equivalent to additional torque, and predicting the bending deformation of the thin-wall part through the displacement and strain relation and the Hooke's law.

The invention provides a metal part additive and subtractive deformation prediction and control method and system. The method comprises the steps that a finite element model of an additive manufacturing process is established, material equivalent inherent strain of laser directional energy deposition under different processes is calculated, and a mapping relation between laser deposition process parameters and the material equivalent inherent strain is established; establishing a finite element model of a subtractive milling process, extracting milling loads applied to a workpiece by a milling tool bit under different processes, and establishing a mapping relation between a milling process and the milling loads; building a macrostructure additive and subtractive finite element model, calculating the residual stress of the structure under the laser directional energy deposition process through an inherent strain method, and loading a milling load according to a milling path to calculate the overall deformation of the structure in the subtractive process; and through the established mapping relation and the macro-structure additive and subtractive finite element model, the additive and subtractive composite process optimization design with the minimized structural deformation is developed, and macro-structure manufacturing deformation control is achieved.

The utility model discloses a thin-wall end socket machining deformation precision size control device which comprises a clamp body, a placing table is arranged on the upper portion of the clamp body, a centering structure and a fixing mechanism are arranged on the placing table, a center protruding portion is arranged on the placing table, the centering structure comprises a disc spring arranged around the center protruding portion, and the disc spring is connected with the fixing mechanism. A locking disc is arranged on the upper portion of the disc spring, a locking connecting rod is connected to the locking disc, a through hole is formed in the center of the center protruding part, the locking connecting rod is movably arranged in the through hole, the position of the locking connecting rod is adjusted so that the distance between the locking disc and the disc spring can be changed, and centering of the thin-wall end socket can be achieved. And the top of the thin-wall sealing head is pressed. Precise positioning and reliable clamping of the seal head part on a machine tool can be easily achieved, it is guaranteed that the machining size of the seal head part meets the requirement, and the problem that the machining size of the seal head is out of tolerance is solved.

The invention relates to the field of precision machining, and discloses a thin-walled workpiece machining deformation prediction and optimization method under multiple working conditions. Comprising the following steps: setting a fixed constraint and an initial environment temperature by constructing a finite element model containing an initial residual stress field; the cutting effect of the tool is equivalent to a milling force-temperature load, a stress and a temperature field of a tool-workpiece contact area are calculated, and material removal is simulated by using a life-death unit technology; based on a Python script, establishing a space mapping algorithm of tool location point coordinates and grid units to obtain a tool path file; a working condition combination matrix of a cutting mode-machining sequence is constructed, and multi-working-condition simulation is conducted on nine machining strategies; a deformation prediction matrix of multiple working conditions is constructed, and a minimum deformation processing strategy is output through iterative optimization; the machining deformation can be obviously reduced by preferably selecting the following peripheral mode and the cross machining sequence. The method solves the problems of prediction and optimization of machining deformation of the thin-walled workpiece under multiple working conditions, and contributes to key technical support for the field.

The embodiment of the invention discloses a multi-sensor monitoring and compensating method for machining deformation of a large annular part. According to the embodiment of the invention, the feed-forward compensation amount can be generated on the basis of the predicted radial deformation amount of the stress abrupt change area in the surface radial deformation appearing time when the large annular part is machined, and then the feedback compensation amount is generated according to the deviation between the expected machining contour and the actual radial position data of the large annular part; and generating a total compensation amount according to the feedback compensation amount and the feed-forward compensation amount, and adjusting the motion trail of a cutter on the machine tool according to the total compensation amount, and the expected machining contour, the shape tolerance and the position tolerance of the large annular piece. Therefore, according to the embodiment of the invention, deformation caused by stress release can be compensated in real time in the machining process of the large annular part, and the compensation efficiency is improved.

The invention relates to the technical field of aero-engines, and discloses a multi-sensor data fusion method for processing a blisk of a gas compressor, which comprises the following steps of: performing filtering and time alignment on data signals of each sensor, and normalizing the data; then, feature extraction is conducted on the vibration signals and the power signals through a time-frequency domain double-flow input BiLSTM feature extraction module, feature extraction is conducted on the temperature signals through the BiLSTM feature extraction module with a differential structure, extracted features and machining parameters are fused, and machining deformation prediction is conducted through a machining deformation prediction model based on a feature fusion result; the problem that multi-sensor signals are difficult to fuse is solved.

The invention discloses a biphase titanium alloy hot working deformation prediction method based on finite element simulation, and belongs to the technical field of titanium alloy hot working, a Voronoi mosaic algorithm is utilized to generate a volume element RVE containing an alpha phase and a beta phase in Digimate, and grid division is carried out based on Abaqus. An HCP crystal plastic model is adopted as an alpha-phase ontology model, and a BCC crystal plastic model or a J2 plastic model is adopted as a beta-phase ontology model. A cohesion unit is embedded in an alpha-phase interface and a beta-phase interface, and a temperature-dependent critical fracture energy degradation function is defined; the thermal activation energy is dynamically corrected, and the dislocation motion threshold value is dynamically adjusted. And finally, mapping the RVE response to the macroscopic model, and outputting simulation results of a stress-strain field, damage distribution and microstructure evolution. According to the method, the anisotropic deformation prediction precision of the double-phase titanium alloy is remarkably improved, the interface cracking prediction accuracy is improved by 30% or above, and the engineering adaptability is high.

The present invention provides a dynamic modeling method for simulating deformation during machining of large and complex structural parts, which relates to the field of mechanical machining and manufacturing technology, and includes: constructing an intelligent model and performing dynamic optimization, including establishing a three-dimensional model, marking easily deformed areas, embedding tolerance information, and adaptive meshing; performing multi-source data-driven physical modeling, collecting data and correcting material properties, and constructing an intelligent constitutive model; carrying out multi-scale coupled dynamic simulation to achieve macro-micro model coupling and dynamic prediction of machining forces; performing digital twin verification and closed-loop control, quantifying deformation deviations, and optimizing machining parameters. The present invention can more accurately simulate the mechanical behavior of machining of large and complex structural parts and improve simulation accuracy by accurately marking easily deformed areas, embedding tolerance information, adaptive meshing, and driving multi-source data to correct material properties and construct an intelligent constitutive model.

The invention belongs to the technical field related to robot machining, and discloses a machining deformation prediction method and device for a large complex curved surface part, and the method comprises the steps: (1) extracting time domain features, frequency domain features and time-frequency domain features from a cutting force signal, a vibration signal and an acoustic emission signal collected in the machining process of the large complex curved surface part; (2) carrying out linear dimensionality reduction on the extracted features by adopting a PCA (Principal Component Analysis) algorithm; (3) inputting the features obtained by dimensionality reduction through the PCA algorithm into a double-layer LSTM neural network model, wherein the double-layer LSTM neural network model outputs a preliminary prediction value of processing deformation; and (4) inputting the features obtained through dimensionality reduction by the PCA algorithm into an XGBoost prediction model, outputting a prediction residual error by the XGBoost prediction model, and adding the initial prediction value of the machining deformation and the prediction residual error to obtain a machining deformation prediction value. According to the invention, adaptability and prediction accuracy are improved.

The application discloses a device for reducing welding and machining deformation of the end of a large-size cathode roller, which comprises a base, a pushing mechanism, a lifting mechanism, a support seat and a bearing plate, the side wall of the support seat is provided with the bearing plate, the side wall of the support seat is provided with a motor, the end of the bearing plate away from the support seat is provided with a support ring, the support ring is provided with detection welding mechanisms, the detection welding mechanisms are symmetrically arranged in two groups, after the cathode roller is clamped, the pushing mechanism and the lifting mechanism drive the support ring to be located at the center directly above the cathode roller, the distance sensor detects the distance change process of the suspension end of the swing rod, at this time, the lifting mechanism stops working, the electric wheel rotates to drive the support ring to rotate along the sliding plate, so that the welding gun welds the end of the cathode roller, when the two groups of detection welding mechanisms are arranged to weld the weld of the cathode roller, the welding efficiency of the weld of the cathode roller can be improved, and the welding deformation can be reduced.

The application discloses a machining deformation field numerical analysis method considering intermediate geometric states and application, belongs to the machining deformation control and statics simulation technical field, and comprises the following steps: calculating the workpiece displacement field generated by the residual stress rebalancing caused by the current material removal based on numerical analysis; calculating the boundary corresponding to the material boundary removed in the initial configuration according to the displacement field; removing the material in the initial configuration according to the boundary, and then performing numerical analysis again to obtain the displacement field; and finally calculating the part deformation according to the displacement field. By using the method, the geometric and stress evolution in the machining process is dynamically simulated, the limitation of the traditional numerical analysis on the simulation of the intermediate state in the machining is broken through, the machining deformation prediction precision of the aerospace complex part is improved, and reliable numerical basis is provided for process optimization.

The application discloses a bending machine deformation detection mechanism and method, which comprises a deformation sensor and a control system; the bending machine comprises a lower side plate and a slider located directly above the lower side plate, and the height of the slider can be lowered; a deformation proportionality coefficient K is built in the control system; wherein the deformation proportionality coefficient K is the ratio of the elastic deformation A of the slider to the elastic deformation B of the lower side plate; the deformation sensor is arranged on the lower side plate or the slider and can be used for detecting the elastic deformation of the lower side plate or the slider. The application can realize real-time detection of bending deformation while saving cost. Especially when bending a large-format thick plate, the bending precision of the plate can be improved, and the waste of the plate can be reduced. Especially when the application is equipped with the function of an intelligent bending production line, closed-loop real-time intelligent automatic control can be realized. Further, the application can calculate and compensate the initial deviation of the upper and lower dies, so that the installation and debugging are more convenient.

The invention relates to the technical field of machine tools, and discloses a machine tool structural part analysis method and a machine tool structural part analysis device.The machine tool structural part analysis method comprises the steps that an initial model of a machine tool is established; performing finite element analysis on the initial model under a cutting condition to obtain model deformation quantity, and determining the model deformation quantity of the initial model as complete machine deformation quantity; structural parts in the initial model are removed, and a deformation model is obtained; performing finite element analysis on the deformation model under the cutting condition to obtain model deformation quantity, and determining the model deformation quantity of the deformation model as part deformation quantity; and determining a deformation influence value of the structural member based on the component deformation quantity and the complete machine deformation quantity. According to the method, an initial model and a deformation model are established, calculation is carried out by removing boundary changing conditions of the structural parts, the influence of the related structural parts on overall deformation of the machine tool can be determined, and the deformation contribution rate and equivalent deformation of the structural parts are completely quantified.

The invention discloses a machining method for a gas compressor driving ring and relates to the technical field of machining. The problems that when an existing ring is machined, thermal deformation of the ring is easily caused by cutting heat, then the size precision is affected, and the position degree error rate of a key matching face is high due to repeated clamping are solved. The method comprises the following steps that firstly, a blank piece is clamped on a clamp, and then the clamp is fixed to a lathe machining position; secondly, an inner hole, a groove and an outer circle are roughly turned; thirdly, the clamp and the workpiece are moved to a milling machine machining position from the lathe machining position together; 4, roughly milling a boss; by means of reasonably arranging a machining method and an assembly process flow, designing a filling block for controlling deformation of the thin-wall part, increasing heat treatment stress release and the like, machining deformation of the thin-wall part ring and assembly stability of the thin-wall part ring, a shaft and a pin are effectively controlled, machining precision and assembly efficiency are improved, and the service life of a product is prolonged; therefore, the working efficiency and reliability of the gas turbine are effectively improved.

The internal combustion engine camshaft machining deformation control method comprises the following steps that (1) a workpiece is corrected before finish machining, specifically, after workpiece rough machining and surface strengthening are completed, the workpiece is subjected to aging treatment, and center holes in the two ends of a camshaft are corrected through a numerical control lathe; (2) machine tool state adjustment: arranging a center frame according to the length of a workpiece, adjusting the position of a tailstock, and adjusting the center frame through a mandrel with a proper length; (3) machining the workpiece: mounting the workpiece on a numerical control camshaft grinding machine, and machining according to the technological process of pre-grinding a central frame clamping journal, pre-grinding other working journals, pre-grinding a cam profile, loosening all central frames, correcting and grinding the central frame clamping journal, accurately grinding the cam and accurately grinding the journal; according to the internal combustion engine camshaft machining deformation control method, the form and position precision of the working journal of the camshaft and the cam can be improved, the workpiece machining deformation degree is reduced, and the form and position precision and consistency of the working journal and the cam are guaranteed.

The present invention discloses a method for controlling deformation during the machining of large, complex ellipsoidal parts based on dynamic cutting planning: First, the blank is clamped in an initial position, a machining coordinate system is set up, and the non-contact measurement and adjustment of the reference surfaces for the internal and external shapes of the blank are completed. Subsequently, the cutting surfaces are subdivided. Based on the feature decomposition of the product, the theoretical cross-sections are compared with the measured cross-sections in the same coordinate system, and a machining area assessment is performed based on the cutting surfaces to guide the overall machining route planning and the local machining route planning.Based on the machining path planning and the available clearances, a dynamic workpiece adjustment is achieved using an adaptable support system to ensure stable machining under variable cutting depths and to solve the problem of overall deformation in complex ellipsoidal parts. In conjunction with the adaptable support, the system detects deformation of highly reinforced features in areas with large rib heights. Based on the relationship between circular displacement and remaining wall thickness, toolpath compensation is implemented to achieve precise machining compensation for local distortion.The invention solves the major difficulties in the CNC machining of large, complex, thin-walled ellipsoidal parts with regard to accurately ensuring the remaining wall thickness, compensating for local deformations, and controlling the overall deformation, which further improves the reliability of the overall production of such parts.