38 results about "Thermomechanical coupling" patented technology

The application is suitable for the technical field of precision control, and provides a machine tool stand column assembly anti-deformation design and operation intelligent compensation method, which comprises the following steps: in the assembly stage, through parametric finite element analysis and optimization, the optimal pre-stress group of the pull rod that maximizes the static stiffness of the stand column is determined to realize active assembly anti-deformation design; in the operation stage, temperature and spindle box position information are intelligently fused through fuzzy C-means clustering and grey correlation degree analysis, key features are screened, and a high-level correction training strategy optimized Transformer-GRU deep learning model is adopted to establish a high-precision mapping relationship between the features and thermal-mechanical coupling errors, so that real-time prediction and compensation are realized. The application ensures machining precision from two dimensions of source and process, has high prediction accuracy, strong intelligence and self-adaptability, and high engineering practical value.

This application provides an anti-deformation design method and apparatus for welded structures, relating to the field of superconducting magnet technology. The method includes: constructing a three-dimensional structural model of the weld seam; performing thermo-mechanical coupling analysis and stiffness analysis on the three-dimensional weld seam model to determine the inherent deformation caused by the welding process and the impact load deformation caused by service impact loads; determining anti-deformation parameters to compensate for the total deformation of the welded structure based on the inherent deformation and impact load deformation; and determining the geometric parameters of the welded structure based on the anti-deformation parameters. Therefore, this method suppresses deformation failure of the welded structure caused by the superposition of dynamic loads, extends the service life of the welded structure, and thus improves the operational reliability of the superconducting magnet cryogenic thermostat and even the entire high-speed maglev train.

The present application relates to a kind of X80 pipeline electric arc additive manufacturing method and system based on thermal-mechanical coupling regulation mechanism, the method includes: first, the continuous cooling transformation curve of X80 steel is determined to determine phase transition temperature interval;Thermal-mechanical coupling finite element model containing mobile heat source and mobile force source is constructed and calibrated;On this basis, process prediction model is established, and the mapping relationship between process parameter and temperature field, stress field is obtained;Optimization algorithm is used in simulation space to carry out reverse optimization, and the optimal thermal-mechanical coupling process parameter combination is obtained;Finally, in actual repair process, deposit layer temperature is monitored in real time by infrared temperature measurement, when temperature falls into phase transition temperature interval and approaches optimal impact intervention temperature, drive with welding ultrasonic impact device to execute mechanical impact.The present application can significantly reduce residual tensile stress and improve the degree of grain refinement.

This invention provides an optimization method for thermal deformation compensation of alloy plates based on digital twins, relating to the field of data processing technology. The method includes: collecting multi-source heterogeneous data of the alloy plate to be processed; performing finite element simulations on multiple processing conditions to obtain a residual stress field sample set; performing dimensionality reduction processing on the residual stress field sample set to determine a low-dimensional parameterized expression model; constructing a thermo-mechanical coupling deformation model of the alloy plate by combining the low-dimensional parameterized expression model and processing environment temperature data; mapping the residual stress field to the deformation of the alloy plate structure in the processing coordinate system through the thermo-mechanical coupling deformation model of the alloy plate; constructing a rapid prediction model of the machine tool temperature field; calculating the thermal displacement error of the machine tool structure through the rapid prediction model of the machine tool temperature field; fusing the deformation of the alloy plate structure and the thermal displacement error to obtain a comprehensive deformation error; and calculating the control variables in the processing process based on the comprehensive deformation error to obtain the optimal compensation parameters.

This invention relates to the field of digital twin technology, specifically a method for predicting the remaining service life of directly buried compensators based on digital twins. The method includes collecting pipeline geometric data, compensator structural data, and soil physical parameters of a directly buried heating pipeline segment; constructing a three-dimensional mesh model and calculating the soil spring stiffness matrix based on the soil physical parameters to build a baseline finite element twin model; acquiring cyclic hardening curves and temperature-related yield strength data to generate a physical field coupling model; acquiring operating temperature time series and internal pressure fluctuation sequences to form a thermo-mechanical coupling simulation model; driving the thermo-mechanical coupling simulation model to perform nonlinear iterative calculations, outputting equivalent stress response time history and plastic strain range data; and calculating and outputting the predicted remaining service life value by modifying the fatigue damage assessment model. This invention constructs a strongly coupled analysis system of structure-thermal-soil multi-physics fields, improving the comprehensive reliability of remaining service life prediction results under complex coupling environments.

This invention relates to the field of CFRP leakage detection technology, specifically to an in-situ CFRP leakage rate testing system under extreme thermo-coupling environments. The system comprises an extreme temperature environment simulation and mechanical loading subsystem, consisting of an environmental chamber and a mechanical loading unit; an in-situ helium mass spectrometry leakage detection subsystem, used to construct an independent helium chamber on one side of the sample; a molecular pump and a backing pump connected via stainless steel tubing on the other side of the sample; leakage detection using a helium mass spectrometer leak detector; and a multi-channel synchronous data acquisition and control subsystem, used for unified triggering of acquisition channels and software time correction; and for controlling environmental temperature, strain loading, real-time acquisition of leakage signals, and unified timeline display of multi-channel data. This invention improves the realism of environmental simulation, the continuity of detection, and the integrity of data correlation in CFRP leakage detection.

The application discloses a mirror structure topology optimization method and device based on thermal coupling and a mirror, and relates to the technical field of metal mirror research and development. The application provides a mirror structure optimization method driven by thermal coupling simulation, which can self-adaptively control seed density and complete constrained Voronoi partition in a mirror body design domain. The method comprises the following steps: creating an initial model of a mirror to be optimized by using a three-dimensional modeling software; assigning initial Voronoi seed points; matching a corresponding stress value closest to each initial Voronoi seed point; dividing the Voronoi seed data into a high-stress-area seed point set and a low-stress-area seed point set; merging after increasing the seed point density in the high-stress-area and decreasing the seed point density in the low-stress-area; and performing 3D Voronoi partition between a front mirror surface of the mirror and a support frame body. The optimization method is suitable for optimizing the structural parameters of an existing mirror.

This invention relates to the field of intelligent manufacturing technology, and more particularly to a self-aligned stack positioning method and system for welding multi-layer structures. The method first extracts the microstructure of the flow channels and the geometric features of the edges on the plate, constructing a spatial constraint model to eliminate false features. Then, the features are mapped to a global coordinate system, and the pose deviation is calculated based on image signal-to-noise ratio weighting. Simultaneously, a thermo-mechanical coupling model is constructed to obtain the nonlinear displacement field of the plate under welding thermal cycling, and the relative expansion vector is calculated using the thermal expansion center as a reference to generate a thermal pre-compensation value to offset thermal deformation. By superimposing the pose deviation and the thermal pre-compensation value, the motion platform is driven to perform the initial alignment. Finally, feature frequencies at different depths are stripped in the frequency domain to infer the cumulative offset of the multi-layer stack and construct an error evolution curve, achieving adaptive correction of subsequent positioning parameters.

This invention discloses a method for solving the thermo-coupling vibration characteristics of a precision gearbox based on multi-field coupling, which includes the following steps: (1) Considering the time-varying load distribution characteristics between the gear teeth of the precision gearbox, constructing a vibration differential model of the precision gearbox; (2) Discretizing the precision gearbox into a series of thermal nodes connected by thermal impedance, establishing a heat transfer model of the precision gearbox; (3) Assuming that the meshing between the gear teeth is a line contact unit, establishing a lubrication model of the precision gearbox; (4) Using a stepwise correlation method, performing real-time iterative coupling of the vibration model, lubrication model and heat transfer model of the precision gearbox, and solving for the vibration characteristics, oil film distribution and heat generation of the precision gearbox under multi-physics coupling conditions; The beneficial effect of this invention is that it can systematically reveal the vibration characteristics of the precision gearbox, the multi-physics coupling interaction mechanism between lubrication and heat transfer, and provide theoretical support for the design of precision gearboxes.

This invention discloses a structural thermo-mechanical coupling method and apparatus considering isogeometric analysis, belonging to the field of thermodynamics. The method includes: S1. Establishing an isogeometric NURBS model: providing the basis for expressing geometric and physical fields for thermo-mechanical coupling analysis, achieving seamless integration of CAD and CAE; S2. Calculating the transient temperature field based on the central difference method: obtaining the temperature distribution of the structure at different times, providing temperature input for subsequent thermo-mechanical coupling; S3. Transforming the temperature field into equivalent temperature loads: converting the thermal effects caused by temperature changes into equivalent loads identifiable by structural mechanics analysis; S4. Solving the stiffness equation of the structure under the combined action of external forces and temperature: obtaining the displacement matrix of the structural control points; S5. Solving the structural coupling field based on the displacement matrix: obtaining all key physical quantities in the thermo-mechanical coupling field, completing the coupling analysis. This invention can verify the feasibility of applying isogeometric analysis in coupled fields.

The application relates to the technical field of fault prediction, in particular to an aero-engine key component repair effect and residual life prediction system based on digital twinning, which comprises a repair component digital twinning modeling module, which is used for collecting geometric point cloud data of repaired blades and coatings of an aero-engine, generating a repair area multi-physical field boundary condition, driving finite element grids to perform thermal force coupling iterative calculation according to the repair area multi-physical field boundary condition, and constructing an engine repair component digital twinning body. In the application, the total amount of local cumulative entropy production is compared with a fracture threshold value, and a compatibility evolution trend is combined to double-lock a fault critical point from two dimensions of material body failure and structural interface debonding, so that a prediction result containing a repair effect grade and a residual life cycle is output without a large number of historical sample training, and the reliability of service evaluation of aero-engine remanufactured components is improved.

This application discloses a method and apparatus for thermo-coupling field state inversion in compressor hot-assembly processes, relating to the fields of intelligent manufacturing and digital twin technology. The method includes: offline modeling based on historical temperature and displacement data of key nodes of the compressor impeller to obtain a reduced-order model and a physics-data hybrid evolution model that meet preset conditions; using the reduced-order model to reduce the order of the observed state at the previous moment, obtaining a reduced-order state and a reduced-order orthogonal basis matrix; calculating the estimated state at the current moment using the physics-data hybrid evolution model based on the reduced-order state; calculating the target estimated state using the extended Kalman filter method based on the estimated state and the real-time acquired current observation data; and performing inversion using a preset projection function based on the target estimated state and the reduced-order orthogonal basis matrix to obtain the inversion result. This method improves the accuracy of the inversion results and can improve the assembly quality of high-end equipment.

This invention provides a method and system for optimizing the performance of engine stealth coating components in service, belonging to the field of high-temperature engine technology. The method includes: acquiring measured data from the service environment to construct a coating substrate model and a thermo-mechanical coupling and radiation force control model; generating a non-uniform heat flux load distribution based on the coating substrate model, and combining this with the control model to obtain the high-temperature surface temperature gradient trend to obtain the stealth coating stress distribution; dividing the coating substrate model into a dense interface region and a defect edge region based on this distribution; obtaining a coating substrate mesh model based on a hexahedral mesh of the dense interface region and a tetrahedral mesh of the defect edge region; obtaining predicted stress distribution data based on this mesh model to obtain the interface delamination crack initiation path; and predicting the stealth coating life degradation trend based on this crack initiation path to optimize the performance of the target engine stealth coating components in service. This invention can improve the reliability of performance optimization for engine stealth coating components in service.

The present disclosure provides a method for regulating dynamic recrystallization of NiTi alloy by Ti2Ni phase, comprising: after open-die forging of the as-cast NiTi alloy, performing staged thermal mechanical treatment, first performing first-stage thermal deformation, then performing second-stage thermal deformation, and rapidly water cooling after deformation; by regulating the two-stage variable-temperature and variable-strain rate, Ti2Ni, which is originally considered as a harmful phase, is converted into a micro tool for controlling grain boundary migration; by using Ti2Ni to induce particle-induced nucleation in the low-temperature region, the critical strain required for complete recrystallization is reduced, and the limitation of traditional single thermal coupling driving is broken; this innovative mechanism not only promotes the occurrence of austenite grain dynamic recrystallization process by increasing nucleation sites, but also inhibits the organization coarsening caused by high-temperature grain boundary migration by using the pinning effect of the second phase particles, so as to realize the precise regulation of the uniformity of the organization under a lower deformation amount.

This invention belongs to the field of aero-engine intake and exhaust, and provides an integrated thermal structure for force transmission and flow in dual high-temperature flow channels, along with its design method. The integrated thermal structure includes an internal cavity formed by upper and lower flow channel surfaces, left and right sidewalls, and endwalls. A lattice structure is filled within the cavity as the main load-bearing framework. Air film vents are provided on both sides of the upper and lower flow channel surfaces for cooling. A hinged mounting base is used for load transfer. The flow channel surfaces, sidewalls, endwalls, and mounting base are made of high-temperature resistant metal materials, while the lattice structure is made of lightweight, high-strength materials. The entire structure is integrally formed through additive manufacturing. The design method is based on thermo-mechanical coupling simulation data under target operating conditions, driving the non-uniform distribution of the lattice and defining material partitions. This invention is applicable to dual-sided high-temperature flow channel scenarios such as variable cycle engines, eliminating the need for exposed reinforcing ribs and avoiding increased flow resistance; multi-point support of the lattice eliminates stress concentration and boundary warping; and significantly reduces weight while maintaining strength, improving cooling efficiency and structural reliability.

The application belongs to the field of computer simulation, and specifically discloses a kind of aluminum alloy die casting thin-walled part thermal deformation simulation method and system, method includes: obtaining the material performance parameter of each feature area at different temperatures, construct temperature and regional material performance database;The three-dimensional geometric model of aluminum alloy die casting thin-walled part is constructed, and according to the division of feature area, the corresponding material performance parameter in material performance database is mapped to three-dimensional geometric model, and inhomogeneous model is generated;The inhomogeneous model is imported into finite element simulation software, and based on material performance database, thermal coupling simulation is carried out, if the simulation result does not meet the design requirement, then update the design parameter of three-dimensional geometric model, and / or, adjust the process constraint in the boundary condition applied in simulation, and cyclic iteration simulation is carried out until the final optimization scheme is output to meet the design requirement. Through the application, the cost can be reduced, the modeling efficiency and simulation accuracy can be improved.

This invention discloses a method for suppressing edge scaling defects in hot-rolled roughing mills. First, it acquires thermophysical parameters and true stress-true strain curves at different hot-rolling temperatures to construct a suitable material model. The thermophysical parameters include density, coefficient of linear expansion, thermal conductivity, specific heat capacity, Young's modulus, and Poisson's ratio. Simultaneously, it collects actual process parameters and equipment structural dimensions to establish a geometric model. The geometric model of the slab is then meshed, with the edges refined. Combining this with the previously established material model, a multi-pass, multi-stand thermo-mechanical coupling simulation model for roughing mills is finally built. With the goal of suppressing edge scaling defects in slabs, key process parameters such as drawing temperature, flat roll reduction in each roughing pass, vertical roll side pressure, rolling speed, and initial slab width are selected for optimization. Using the hot-rolled roughing mill edge scaling defect suppression method proposed in this invention, effective control and precise suppression of edge scaling defects during the rolling process can be achieved.

This invention discloses a layered design method for snow surface overlay on ice-structured load-bearing structures, relating to the field of ice and snow engineering technology. The method includes the following steps: S1, determining the design constraints and performance indicators of the snow surface overlay based on target working conditions and environmental data; S2, obtaining the microstructural parameters of the snow material to be laid, including initial porosity, ice crystal size distribution, coordination number, and contact geometry. This invention establishes a cross-scale mechanical performance evolution model to accurately capture the microscopic mechanisms of ice crystal sintering, particle creep, and fatigue damage of snow material under long-term load and temperature, solving the problem of performance prediction deviations caused by the inability of existing macroscopic models to reflect microscopic evolution. By constructing a quantitative mapping relationship between microstructural parameters and macroscopic mechanical properties, combined with thermo-coupling load history simulation, accurate performance evolution data of the overlay can be obtained.

This invention discloses a welding monitoring and control device, a welding system, and a welding method, relating to the field of welding technology. The welding monitoring and control device includes a tracking sensor mechanism, a controller, and a temperature regulation mechanism. The welding system includes a welding device and a welding monitoring and control device. The tracking sensor mechanism collects the molten pool morphology and surface temperature distribution in real time, and the controller receives the molten pool morphology and surface temperature distribution data collected in real time by the tracking sensor mechanism. The controller performs thermo-mechanical coupling analysis based on the thermophysical and mechanical parameters of the workpiece to be welded, as well as the molten pool morphology and surface temperature distribution data, and sends a temperature control command to the temperature regulation mechanism. The temperature regulation mechanism adjusts the temperature field of the weld according to the temperature control command, thereby adjusting the residual stress field distribution of the weld. This achieves precise control of residual stress for different welding materials and welding conditions, further reducing the welding residual stress of the workpiece.

The application discloses a kind of thermal coupling decoupling measurement methods based on composite sensitive structure, it is related to extreme environment sensing measurement technical field, provide composite sensitive structure: composite sensitive structure from bottom to top includes substrate, thermoelectric pile film formed on substrate, heat insulation layer formed on thermoelectric pile film, and piezoelectric film formed on heat insulation layer;Dynamic response characteristic matrix of composite sensitive structure is constructed: the thermal coupling coefficient between piezoelectric film and thermoelectric pile film when pressure and thermal excitation act simultaneously is calculated, and dynamic response characteristic matrix is constituted by amplitude-frequency response coefficient, phase-frequency response coefficient and thermal coupling coefficient.The application adopts the technical route of composite sensitive structure, dynamic characteristic matrix and frequency domain decoupling, solves the problem that traditional method is difficult to separate thermal coupling signal in real time from measurement principle, realizes the synchronous measurement of dynamic pressure and transient temperature under extreme environment.

This invention discloses a method for analyzing the geometric error of gearbox housings based on thermo-structural coupling deformation, belonging to the technical field of mechanical transmission systems. Addressing the problem of decreased geometric accuracy of automotive gearbox housings under complex operating conditions due to thermo-mechanical coupling, this invention establishes a thermo-mechanical coupling model of the bearing bores, reveals the nonlinear deformation law under the combined action of temperature field and mechanical load, constructs a geometric accuracy evaluation system with parallelism and center distance errors as the core, and combines finite element simulation to quantitatively analyze the housing deformation. This invention provides a feasible analytical method for structural optimization and precision control of gearbox housings, effectively improving gear meshing accuracy and transmission system reliability.

The application relates to a two-stage brush seal brush wire welding method, system, device and storage medium, and the method comprises the following steps: according to actual structure data of a brush seal test piece, a three-dimensional entity model of brush seal leakage and heat transfer characteristics is established; the three-dimensional entity model is subjected to finite element mesh division, a plurality of grid units of brush wire bundles and front and rear baffle entity models are formed, so that finite element analysis is carried out after welding; various process parameters and boundary condition settings of welding of the brush wire and the front and rear baffles are carried out, temperature field analysis, stress field calculation of indirect heat force coupling and mechanical property analysis are carried out respectively. Through the establishment of the three-dimensional entity model, the finite element analysis and the multi-field coupling calculation, the welding temperature field, the stress field and the deformation are accurately predicted, and the welding quality and the process reliability are significantly improved.

This invention discloses an experimental device for the thermo-mechanical coupling effect of shield tunneling in an artificially frozen environment. The device includes a soil box, a model shield machine, a support device, and a laser displacement sensor. The soil box has a model shield machine inlet and an outlet on its front and rear sides, respectively. A cold compensation array is installed inside the soil box, and a temperature sensor array is arranged inside the cold compensation array along the tunneling direction. The support device supports and fixes the model shield machine. A laser displacement sensor is installed at the tail of the model shield machine. This device aims to reveal the influence mechanism of localized ground weakening induced by non-uniform thermal disturbance on the shield machine's attitude, to deeply explore the spatiotemporal evolution of the eccentric load moment and the ground response characteristics under complex thermo-mechanical coupling conditions, and thus analyze the imbalance causes under thermo-mechanical coupling, providing reliable experimental basis and data support for attitude prediction and disaster prevention in shield tunneling in artificially frozen strata.

The application relates to the technical field of welding automation control, and discloses a steel structure welding control method and system based on digital twinning and a storage medium. The method comprises the following steps: a digital twinning model of a steel structure is constructed, real-time data is acquired through a sensor array, data assimilation processing is performed on the digital twinning model, and heat stress distribution information is generated; the lateral offset and the warping degree are calculated according to the heat stress distribution information; if the lateral offset and the warping degree exceed a preset threshold, the digital twinning model is called to predict a heat distribution trend and obtain adjustment parameters; current trajectory coordinates of a welding robot are acquired, the welding trajectory deviation is judged in combination with the adjustment parameters, a preliminary scheme of a trajectory sequence is generated, a feedback control algorithm is adopted to optimize and generate final correction trajectory data; the heat input is adjusted through the correction trajectory data, a heat-force coupling solver in the digital twinning model is used to determine a heat distribution scheme, the matching with material properties is verified, welding quality indexes are obtained, and a quality archive is generated; and the application improves the precision and the intelligent level of welding deformation control.

The application discloses a kind of underwater high-pressure dry welding process weld forming quality evaluation method for Q345 steel plate fillet weld, welding process parameter optimization method and device, and relates to the field of welding technology.Weld forming quality evaluation method first carries out different process parameter fillet test, obtains residual stress and penetration to establish initial sample library;Data is substituted into thermal-mechanical coupling finite element model to check, and after verification, model is expanded to generate big data set;Subsequently, process parameters are input, and quality indicators are output to train BP neural network, to obtain prediction model;Finally, the model is embedded in APP, to realize one-key prediction of residual stress and penetration before welding, and the best parameters can be optimized in reverse.This method can construct a high-precision prediction system with a small amount of testing, eliminate the dependence on artificial experience, significantly reduce the cost of underwater welding trial and error, and improve the controllability and efficiency of quality.

The application discloses a large-span weather-resistant steel bridge coating-free welding process and quality control method, which comprises the following steps: step one, weather-resistant steel base material pretreatment and precise preparation of a bevel; step two, precise regulation of a welding environment and matching selection of weather-resistant welding materials; step three, pre-optimization of welding parameters based on thermal coupling finite element simulation; step four, robot automatic full-penetration welding operation; step five, dynamic constraint and real-time regulation of deformation in a welding process; step six, fine treatment and microstructure regulation of a coating-free interface after welding; and step seven, basic performance detection and preliminary screening of a welded joint. According to the application, the weather-resistant steel base material and the welding material are accurately matched, post-welding pickling, passivation and annealing microstructure regulation are performed, the chemical composition and microstructure of the welded joint are highly consistent with those of the base material, a stable passivation film can be formed without coating, and the industry problem that the weather resistance of a traditional welded joint deteriorates and needs coating is solved.

This invention discloses a method for predicting stress and strain during the high-temperature process of calcination and casting of ceramic shells for turbine blades, considering historical residual stress. It belongs to the fields of precision casting and computer-aided design technology. The method includes: establishing a shell mesh in ProCAST and generating an ABAQUS homologous mesh via Python remapping; performing thermo-mechanical coupling analysis of the calcination stage in ABAQUS to obtain residual stress; extracting the instantaneous temperature field through casting solidification simulation in ProCAST and transferring it to ABAQUS based on homologous mesh node mapping; using the calcination results as initial conditions, performing thermo-mechanical coupling analysis of the casting stage step-by-step to obtain the cumulative stress and strain field throughout the entire calcination-casting process. This invention significantly improves the prediction accuracy of multi-stage thermal stress accumulation in thin-walled ceramic shells, can be used to assess shell fracture risk, and provides a basis for process optimization.

The application discloses a continuous casting and hot rolling cross-cut full-process slab optimization calculation method and device, equipment and medium, relates to the slab optimization control technical field, and includes: through the standardization processing to the cross-cut order data, then completing the multiple contract slab width merging, correcting the slab cross-sectional area by means of the thermal coupling model, checking the weight recursive result through the uncertainty quantification, after length normalization and closed loop iteration, taking the minimum weight deviation and the maximum sizing rate as the target to optimize the slab quantity. The application realizes full-process automatic operation, compensates production deformation, weakens parameter fluctuation interference, improves slab calculation precision and finished product sizing rate, reduces raw material loss, and adapts to the intelligent production demand of the plate.

This invention proposes a data-driven method for constructing high-temperature rheological stress and hot working diagrams for titanium alloys. By constructing a titanium alloy composition-Arrhenius constitutive equation parameter dataset, developing a machine learning prediction model for these parameters, and conducting thermo-mechanical coupled finite element simulation calculations, the method achieves automatic calculation of high-temperature rheological stress and rapid generation of high-temperature stress-strain curves based solely on user input of the titanium alloy composition. Furthermore, it automates the entire process of constructing hot working diagrams. This method effectively solves the problems of long construction cycles, high costs, and heavy reliance on Gleeble hot compression simulation experimental data in traditional titanium alloy high-temperature rheological stress and hot working diagram construction. It enables efficient, rapid, and accurate prediction of hot working diagrams for titanium alloys with new compositions and systems, providing a novel method for rapid iterative development of titanium alloy materials and optimization of complex process parameters, further optimizing the titanium alloy process parameter design process.