Titanium alloy die forging process parameter optimization method and system
By constructing a hot working diagram and quantitatively decoupling instability parameter domain, the problem of blind parameter matching in titanium alloy die forging process was solved, achieving efficient and stable process optimization to meet the high-precision requirements of aerospace and other fields.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-31
- Publication Date
- 2026-05-15
AI Technical Summary
The current optimization of titanium alloy die forging process parameters lacks a systematic approach, leading to quality problems such as forging cracking and grain coarsening. It is impossible to accurately construct a quantitative model, and the optimization efficiency is low, making it difficult to meet the requirements of high-precision production.
By collecting the thermophysical and mechanical properties of titanium alloy billets, a hot working diagram is constructed, stable regions are identified and instability parameter domains are calibrated, the critical strain rate for decoupling cracking and the critical temperature for grain coarsening are quantified, a parameter-quality relationship table is established, quality-oriented screening is performed, and an optimized set of process parameters is output.
The stability region and instability parameter domain of forgings were clearly defined, which improved forming stability and overall performance, reduced quality defects, improved process optimization efficiency, and made it suitable for the production of high-precision titanium alloy forgings.
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Figure CN120874383B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of parameter optimization technology, and in particular to a method and system for optimizing process parameters of titanium alloy die forging. Background Technology
[0002] Current optimization of titanium alloy die forging process parameters largely relies on accumulated experience or single-parameter experiments, lacking a systematic integration of the thermophysical and mechanical properties of the billet. This makes it difficult to accurately construct a quantitative model reflecting the stability of forging processing. Consequently, process parameter setting is often arbitrary, frequently resulting in quality problems such as forging cracking and grain coarsening caused by improper parameter matching. Furthermore, it fails to efficiently define the stable range and instability risk boundary during processing, severely hindering the improvement of the overall quality of titanium alloy forgings.
[0003] Meanwhile, existing technologies lack quantitative decoupling capabilities for the critical characteristics of forging instability parameters, and cannot clearly define the precise range of the critical strain rate for cracking and the critical temperature for grain coarsening. This results in a low correlation between quality indicators and equipment control parameters, making it difficult to form a directly applicable parameter-quality correspondence. Furthermore, process parameter optimization relies heavily on manual screening, lacking a quality-oriented systematic screening mechanism. This not only leads to low optimization efficiency but also makes it difficult to ensure that the output parameter set meets comprehensive quality requirements, thus failing to meet the production needs of high-precision titanium alloy forgings. Summary of the Invention
[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a method and system for optimizing titanium alloy die forging process parameters to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution:
[0006] A method for optimizing titanium alloy die forging process parameters, characterized in that the method includes:
[0007] S1. Collect the thermophysical and mechanical property parameters of the titanium alloy billet;
[0008] S2. Construct a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters;
[0009] S3. Identify the stability region of the hot working diagram and calibrate the instability parameter domain of the titanium alloy forging;
[0010] S4. Quantitatively decouple the critical characteristics of the instability parameter domain to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging.
[0011] S5. Determine the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening.
[0012] S6. Associate the quality indicators with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging;
[0013] S7. Perform quality-oriented screening on the parameter-quality relationship table and output the optimized process parameter set that meets the comprehensive quality requirements of the titanium alloy forging.
[0014] In a preferred embodiment, constructing a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters includes:
[0015] The thermophysical parameters include temperature, and the mechanical performance parameters include strain rate and rheological stress.
[0016] The power dissipation factor of the titanium alloy forging is calculated based on the temperature and the strain rate.
[0017] The rheological instability criterion for the titanium alloy forging is calculated based on the rheological stress and the strain rate.
[0018] The power dissipation spectrum of the titanium alloy forging is constructed based on the power dissipation factor, and the rheological instability spectrum of the titanium alloy forging is constructed based on the rheological instability criterion.
[0019] The power dissipation spectrum and the rheological instability spectrum are superimposed to form the hot working diagram of the titanium alloy forging.
[0020] In a preferred embodiment, identifying the stability region of the hot working diagram and calibrating the instability parameter domain of the titanium alloy forging includes:
[0021] The peak region of the power dissipation factor is marked in the thermal processing diagram, and the uniform region of the peak region is marked as the stability region;
[0022] By spatially superimposing the unstable transition region and the rheological instability zone in the stable region, the instability parameter domain of the titanium alloy forging is obtained.
[0023] In a preferred embodiment, the critical characteristics of the instability parameter domain are quantitatively decoupled to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging, including:
[0024] Microstructural localization of the forging deformation zone corresponding to the instability parameter domain is performed to obtain the crack initiation zone and grain abnormality zone of the forging deformation zone.
[0025] A strain rate gradient test was performed on the crack initiation zone to obtain the crack propagation characteristic values of the crack initiation zone;
[0026] Based on the correspondence between the strain rate gradient and the crack propagation characteristic value, the crack damage response curve of the titanium alloy forging is plotted.
[0027] The critical strain rate range for cracking of the titanium alloy forging is defined based on the critical strain rate at the abrupt change point in the crack damage response curve.
[0028] A temperature gradient test was performed on the grain anomaly region to obtain the grain boundary migration distance of the grain anomaly region.
[0029] Based on the correspondence between the temperature gradient and the grain boundary migration distance, the grain evolution response curve of the titanium alloy forging is plotted.
[0030] The critical temperature range for grain coarsening of the titanium alloy forging is defined based on the inflection point critical temperature in the grain evolution response curve.
[0031] In a preferred embodiment, the critical strain rate range for crack initiation of the titanium alloy forging is defined based on the critical strain rate at the abrupt change point in the crack damage response curve, including:
[0032] Identify extreme points in the crack damage response curve where the curvature value exceeds a preset abrupt change threshold;
[0033] Crack verification was performed on the metallographic specimen at the strain rate corresponding to the extreme point.
[0034] The minimum strain rate in the crack verification is selected as the lower limit of the interval, and the maximum strain rate is selected as the upper limit of the interval to obtain the critical strain rate interval for cracking of the titanium alloy forging.
[0035] In a preferred embodiment, the critical temperature range for grain coarsening of the titanium alloy forging is defined based on the inflection point critical temperature in the grain evolution response curve, including:
[0036] The point in the grain evolution response curve where the second derivative is zero is taken as the temperature inflection point;
[0037] The metallographic sample at the temperature corresponding to the temperature inflection point was subjected to heat preservation verification.
[0038] By selecting the minimum temperature as the lower limit of the range and the maximum temperature as the upper limit of the range in the heat preservation verification, the critical temperature range for grain coarsening of the titanium alloy forging is obtained.
[0039] In a preferred embodiment, determining the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening includes:
[0040] The upper limit of the critical strain rate range for cracking is taken as the critical strain rate reference value of the titanium alloy forging.
[0041] The lower limit of the critical temperature range for grain coarsening is used as the critical temperature reference value for the titanium alloy forging.
[0042] By coupling the critical strain rate reference value with the critical temperature reference value, the quality index of the titanium alloy forging is obtained.
[0043] In a preferred embodiment, the quality indicators are correlated with the equipment control parameters of the titanium alloy forging to obtain a parameter-quality relationship table for the titanium alloy forging, including:
[0044] Establish a mapping relationship between the pressure adjustment parameters of the hydraulic press in the equipment control parameters and the critical strain rate range for cracking, and obtain the pressure-strain rate mapping table of the titanium alloy forging;
[0045] A mapping relationship is constructed between the temperature control parameters of the heating furnace in the equipment control parameters and the critical temperature range of grain coarsening, so as to obtain the temperature-grain size mapping table of the titanium alloy forging;
[0046] Based on the pressure-strain rate mapping table and the temperature-grain size mapping table, a two-dimensional parameter space for the titanium alloy forging is constructed.
[0047] By enumerating the effective combinations of equipment parameters and their corresponding quality status information in the two-dimensional parameter space, the parameter-quality relationship table of the titanium alloy forging is obtained.
[0048] In a preferred embodiment, the parameter-quality relationship table is subjected to quality-oriented screening to output an optimized set of process parameters that meet the comprehensive quality requirements of the titanium alloy forgings, including:
[0049] The parameter-quality relationship table was filtered to obtain the parameter combination that met the coupling score in the titanium alloy forging;
[0050] An orthogonal experiment was performed on the parameter combination to confirm that the overall quality of the titanium alloy forgings met industry standards.
[0051] The parameter set that meets the test requirements and has the best coupling score is selected as the optimized process parameter set.
[0052] To address the above problems, the present invention also provides a titanium alloy die forging process parameter optimization system, the system comprising:
[0053] Parameter acquisition module: used to acquire the thermophysical and mechanical property parameters of titanium alloy billets;
[0054] Hot working diagram generation module: used to construct hot working diagrams of titanium alloy forgings based on the thermophysical parameters and the mechanical property parameters;
[0055] Stability Domain Identification Module: Used to identify the stability region of the hot working diagram and calibrate the instability parameter domain of the titanium alloy forging;
[0056] Critical feature decoupling module: used to quantitatively decouple the critical features of the instability parameter domain to obtain the cracking critical strain rate range and grain coarsening critical temperature range of the titanium alloy forging.
[0057] Quality index mapping module: used to determine the quality index of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening;
[0058] Parameter-quality correlation module: used to correlate the quality indicators with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging;
[0059] Quality-oriented screening module: used to perform quality-oriented screening on the parameter-quality relationship table and output the optimized process parameter set that meets the comprehensive quality requirements of the titanium alloy forging.
[0060] Compared with the prior art, the present invention has the following beneficial effects:
[0061] 1. By constructing a heat treatment diagram using thermophysical and mechanical property parameters, and combining power dissipation factors and rheological instability criteria, the stability region and instability parameter domain are clearly defined, solving the problem of blind parameter matching in traditional experience-dependent parameter setting. Furthermore, by decoupling critical characteristics, the precise ranges of cracking critical strain rate and grain coarsening critical temperature are obtained, and the boundary values are verified by metallographic experiments. This upgrades the quality indicators from qualitative descriptions to quantitative benchmarks, effectively avoiding quality defects such as forging cracking and grain coarsening, and significantly improving the forming stability and comprehensive performance of titanium alloy forgings.
[0062] 2. By establishing the correlation between equipment control parameters and quality indicators, a visualized parameter-quality relationship table is formed. Combined with coupling scoring and orthogonal experiments for quality-oriented screening, this transforms process parameter optimization from manual trial and error to data-driven approaches. This method not only reduces the experimental costs of invalid parameter combinations but also quickly identifies parameter sets that meet industry standards and have the optimal coupling score, significantly improving process optimization efficiency. Furthermore, the system's modular design ensures process standardization and reproducibility, adapting to the processing needs of different types of titanium alloy billets, and possesses strong versatility and practicality. Attached Figure Description
[0063] Figure 1 This is a flowchart illustrating a method for optimizing titanium alloy die forging process parameters according to an embodiment of the present invention.
[0064] Figure 2This is a functional block diagram of a titanium alloy die forging process parameter optimization system provided in an embodiment of the present invention. Detailed Implementation
[0065] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0066] This application provides a method for optimizing titanium alloy forging process parameters. The execution subject of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for optimizing titanium alloy forging process parameters can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.
[0067] Reference Figure 1 The diagram shown is a flowchart illustrating a method for optimizing titanium alloy forging process parameters according to an embodiment of the present invention. In this embodiment, the method for optimizing titanium alloy forging process parameters includes:
[0068] S1. Collect the thermophysical parameters and mechanical property parameters of the titanium alloy billet.
[0069] Specifically, the core parameter of thermophysical parameters is temperature, which is directly related to the physical environment of the heating process in titanium alloy forging.
[0070] Specifically, in actual production, titanium alloy billets need to be preheated and held at a temperature in a heating furnace. The temperature parameters need to cover the entire process of the billet rising from room temperature to forging temperature. The uniformity of temperature distribution in different areas of the heating furnace needs to be recorded simultaneously to avoid inconsistent thermal states of the billet due to local temperature differences.
[0071] Specifically, the mechanical properties mainly include strain rate and rheological stress, which are closely related to the pressure processing environment during die forging.
[0072] Specifically, the strain rate reflects the deformation speed of the billet under the action of the hydraulic press, and is affected by the downward pressing speed of the hydraulic press slide, the structure of the mold cavity, etc.
[0073] Specifically, rheological stress is the force that resists plastic deformation in a billet. Its magnitude is related to the current temperature and degree of deformation of the billet and needs to be monitored in real time under simulated or actual forging pressure environments.
[0074] Furthermore, the parameter acquisition equipment is first activated. For thermophysical parameters, the thermocouple sensors arranged in the heating furnace continuously collect real-time temperature data during the billet heating process, with a sampling frequency of no less than 1 time / second, to ensure that the dynamic changes in temperature rise and fall are captured.
[0075] Furthermore, regarding mechanical performance parameters, before the billet enters the die forging stage, the temperature and pressure environment of actual forging is simulated by material mechanical performance testing equipment, different gradient deformation rates are applied, and the rheological stress data of the billet during plastic deformation is collected simultaneously by pressure sensors.
[0076] Furthermore, the collected parameters such as temperature, strain rate, and rheological stress are standardized to remove outliers and stored in the system database, providing complete and accurate basic data for the subsequent construction of thermal processing diagrams.
[0077] In summary, the collected parameters will provide raw data for all subsequent process parameter analysis steps, such as constructing thermal processing diagrams and identifying stability regions, ensuring the systematic integration of thermophysical and mechanical performance parameters and solving the problems of existing technologies relying on experience and insufficient parameter integration.
[0078] In summary, the collected parameters can be used to calculate core indicators such as power dissipation factor and rheological instability criteria, providing a data foundation for subsequent quantitative modeling processes such as instability parameter domain calibration and critical feature decoupling, thus shifting process optimization from experience-based trial and error to data-driven approaches.
[0079] S2. Construct a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters.
[0080] In this embodiment of the invention, constructing a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters includes:
[0081] The thermophysical parameters include temperature, and the mechanical performance parameters include strain rate and rheological stress.
[0082] The power dissipation factor of the titanium alloy forging is calculated based on the temperature and the strain rate.
[0083] The rheological instability criterion for the titanium alloy forging is calculated based on the rheological stress and the strain rate.
[0084] The power dissipation spectrum of the titanium alloy forging is constructed based on the power dissipation factor, and the rheological instability spectrum of the titanium alloy forging is constructed based on the rheological instability criterion.
[0085] The power dissipation spectrum and the rheological instability spectrum are superimposed to form the hot working diagram of the titanium alloy forging.
[0086] Specifically, during titanium alloy die forging, the billet is at a specific temperature in the heating furnace, forging die, and other environments. This temperature is the core of the thermophysical parameters, reflecting the thermal state of the billet and directly affecting its mechanical properties and processing characteristics.
[0087] Specifically, in the forging process, the speed parameter of the plastic deformation of the billet under the action of the die is related to the pressing speed of the forging equipment slide and the structure of the die cavity, reflecting the dynamic process of deformation.
[0088] Specifically, the internal resistance stress generated during the plastic deformation of the billet is affected by both temperature and strain rate, reflecting the mechanical response of the material during die forging, and is the key to judging whether the deformation is stable.
[0089] Furthermore, under the thermal environment and deformation dynamics of die forging, based on specific hot working theoretical formulas, temperature and strain rate are substituted into the calculation to quantify the degree of energy consumption of titanium alloy forgings due to plastic deformation, and a power dissipation spectrum is constructed to reflect energy utilization and deformation efficiency under different parameter combinations.
[0090] Furthermore, based on the rheological stress and deformation rate of the billet during die forging, the mechanical derivation formula is used to calculate whether the deformation will become unstable, construct a rheological instability map, and identify the parameter range that is prone to instability.
[0091] Furthermore, power dissipation and rheological instability maps are generated separately, and then the two are superimposed in the same parameter coordinate system to form a hot working map. This map visually presents the stable processing zone, instability risk zone, and energy utilization level corresponding to different combinations of temperature and strain rate during titanium alloy die forging, providing a visual basis for subsequent process optimization.
[0092] In summary, the hot working diagram clearly marks the stable processing zone, transforming the setting of forging parameters from experience-based trial and error to data-driven guidance, directly avoiding unstable risk zones and significantly improving the stability of forging formation.
[0093] In summary, by quantifying energy utilization efficiency through power dissipation factor and prioritizing parameters in the high dissipation factor region, titanium alloy deformation can be made more uniform, ensuring that overall performance meets the standards.
[0094] S3. Identify the stability region of the hot working diagram and calibrate the instability parameter domain of the titanium alloy forging.
[0095] In this embodiment of the invention, identifying the stability region of the hot working diagram and calibrating the instability parameter domain of the titanium alloy forging includes:
[0096] The peak region of the power dissipation factor is marked in the thermal processing diagram, and the uniform region of the peak region is marked as the stability region;
[0097] By spatially superimposing the unstable transition region and the rheological instability zone in the stable region, the instability parameter domain of the titanium alloy forging is obtained.
[0098] Specifically, the correlation between parameters such as temperature and strain rate and energy dissipation and deformation stability during titanium alloy die forging is the core basis for reflecting the laws of the die forging process. The physical environment includes the thermo-mechanical coupling scenario formed by the temperature control of the heating furnace and the pressure applied by the die forging equipment.
[0099] Specifically, in the hot working diagram, the parameter range in which the plastic deformation energy consumption of titanium alloy forgings is efficient and uniform corresponds to the scenario where the material deformation is smooth and the energy utilization is reasonable during die forging, and is a key indicator for identifying the stable region.
[0100] Specifically, in the hot working diagram, the critical parameter range for the transition from stable to unstable deformation is directly related to the physical environment that easily leads to quality defects, such as excessively high / low temperature and excessively fast deformation rate during die forging.
[0101] Furthermore, in the forging thermo-mechanical parameter space corresponding to the hot working diagram, the peak range of the power dissipation factor is first identified, and then the sub-regions with continuous and uniform parameter distribution are selected and calibrated as the process window where the billet is uniformly deformed and the quality is controllable under the stable temperature control of the heating furnace and the uniform pressure of the forging equipment during the forging process.
[0102] Furthermore, the transition parameter region at the edge of the stability region in the hot working diagram is extracted and spatially superimposed with the predefined rheological instability zone to delineate the parameter combination that may cause deformation instability during the die forging of titanium alloy forgings due to temperature-strain rate mismatch, forming an instability parameter domain, which provides a no-go zone marker for avoiding die forging quality defects.
[0103] In summary, by identifying the stability region of the hot working diagram and calibrating the instability parameter domain, the ideal process window corresponding to the stable temperature of the heating furnace and the uniform loading of the forging equipment can be accurately locked. This upgrades the setting of titanium alloy forging parameters from experience-based trial and error to precise data matching, significantly improving the deformation uniformity and quality stability of forgings and reducing defects such as cracking and grain coarsening.
[0104] In summary, clearly defining the instability parameter domain establishes a risk warning line for die forging production, guiding process engineers to avoid non-ideal environments such as abnormal temperature fluctuations and sudden changes in loading rates, thereby reducing the incidence of quality defects.
[0105] In summary, the visualization and analysis of hot working diagrams makes the logic of process optimization clearer, accelerates the transformation from laboratory data to actual production applications, and helps titanium alloy die forging processes upgrade towards high efficiency, stability, and low defects, adapting to high-precision requirements in aerospace and other fields.
[0106] S4. Quantitatively decouple the critical characteristics of the instability parameter domain to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging.
[0107] In this embodiment of the invention, the quantitative decoupling of the critical characteristics of the instability parameter domain to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging includes:
[0108] Microstructural localization of the forging deformation zone corresponding to the instability parameter domain is performed to obtain the crack initiation zone and grain abnormality zone of the forging deformation zone.
[0109] A strain rate gradient test was performed on the crack initiation zone to obtain the crack propagation characteristic values of the crack initiation zone;
[0110] Based on the correspondence between the strain rate gradient and the crack propagation characteristic value, the crack damage response curve of the titanium alloy forging is plotted.
[0111] The critical strain rate range for cracking of the titanium alloy forging is defined based on the critical strain rate at the abrupt change point in the crack damage response curve.
[0112] A temperature gradient test was performed on the grain anomaly region to obtain the grain boundary migration distance of the grain anomaly region.
[0113] Based on the correspondence between the temperature gradient and the grain boundary migration distance, the grain evolution response curve of the titanium alloy forging is plotted.
[0114] The critical temperature range for grain coarsening of the titanium alloy forging is defined based on the inflection point critical temperature in the grain evolution response curve.
[0115] In this embodiment of the invention, defining the critical strain rate range for crack initiation of the titanium alloy forging based on the critical strain rate of the abrupt change point in the crack damage response curve includes:
[0116] Identify extreme points in the crack damage response curve where the curvature value exceeds a preset abrupt change threshold;
[0117] Crack verification was performed on the metallographic specimen at the strain rate corresponding to the extreme point.
[0118] The minimum strain rate in the crack verification is selected as the lower limit of the interval, and the maximum strain rate is selected as the upper limit of the interval to obtain the critical strain rate interval for cracking of the titanium alloy forging.
[0119] In this embodiment of the invention, defining the critical temperature range for grain coarsening of the titanium alloy forging based on the inflection point critical temperature in the grain evolution response curve includes:
[0120] The point in the grain evolution response curve where the second derivative is zero is taken as the temperature inflection point;
[0121] The metallographic sample at the temperature corresponding to the temperature inflection point was subjected to heat preservation verification.
[0122] By selecting the minimum temperature as the lower limit of the range and the maximum temperature as the upper limit of the range in the heat preservation verification, the critical temperature range for grain coarsening of the titanium alloy forging is obtained.
[0123] Specifically, the calibrated range of parameters for easy instability in titanium alloy die forging corresponds to the thermo-mechanical environment during die forging, such as abnormal heating furnace and uneven equipment loading, which can easily lead to quality defects.
[0124] Specifically, under the instability parameter domain, the microstructural defects inside titanium alloy forgings caused by improper deformation / temperature are the manifestation of macroscopic instability in the microstructure.
[0125] Specifically, the parameter changes of strain rate / temperature during the transition from the stable region to the unstable region during titanium alloy die forging are simulated to reproduce the critical unstable scenario.
[0126] Specifically, the response index of microstructure to strain rate / temperature gradient reflects the sensitivity of crack propagation after crack initiation, while the latter reflects the severity of grain boundary movement during grain coarsening, and is directly related to quality defects such as cracking and grain coarsening in forgings.
[0127] Specifically, in titanium alloy die forging, the critical parameter threshold at which cracking / grain coarsening transforms from a potential risk into an actual defect is the core basis for defining the process safety zone and the risk zone.
[0128] Specifically, in titanium alloy die forging, excessively high strain rates can trigger rapid crack propagation. By identifying the abrupt change point from slow crack development to rapid crack propagation through crack damage response curves, and then verifying this with metallographic experiments, the critical strain rate range for crack initiation can be precisely defined, transforming the theoretically predicted safe strain rate threshold into experimentally verified data.
[0129] Specifically, by analyzing the crack damage response curve, we can find the point where the curvature abruptly exceeds the preset threshold, which corresponds to the critical characteristic where the strain rate increases to a certain value during die forging, and the crack propagation speed suddenly accelerates.
[0130] Specifically, the strain rate corresponding to the extreme point is extracted, and the strain rate + forging thermal environment is reproduced in a thermal simulation testing machine. Metallographic specimens are prepared and the abnormal acceleration scenario of the simulated forging equipment is detected. The actual initiation / propagation of internal cracks in the titanium alloy is observed to verify the authenticity of the extreme point.
[0131] Specifically, from the verified strain rates, the minimum cracking strain rate and the maximum cracking strain rate are selected to define the critical cracking range and clarify that during die forging, the strain rate must be controlled outside the range to avoid the risk of cracking.
[0132] Specifically, in titanium alloy die forging, excessively high temperatures can lead to abnormal grain coarsening. By using grain evolution response curves, the inflection point from normal grain growth to abnormal coarsening can be identified. Combined with metallographic heat preservation verification, the critical temperature range for grain coarsening can be defined, thus upgrading the safe threshold for heating temperature from an empirical value to an experimental standard.
[0133] Furthermore, for titanium alloy forgings corresponding to the instability parameter domain, metallographic microscopes, scanning electron microscopes and other equipment are used to locate the crack initiation zone and grain abnormality zone caused by instability parameters in the thermo-mechanical deformation trace area, and the damage to the internal structure caused by improper thermo-mechanical loading is analyzed by the detection equipment.
[0134] Furthermore, for the crack initiation zone, the thermal environment of die forging was reproduced in a thermal simulation testing machine, a strain rate gradient loading was applied, and the characteristic values of crack propagation were observed and recorded to simulate the microscopic process of crack initiation and propagation when the equipment loading is uneven.
[0135] Furthermore, the strain rate gradient is correlated with the crack propagation characteristic value, and a curve is plotted with the strain rate gradient on the horizontal axis and the crack propagation degree on the vertical axis. The abrupt change point of the curve corresponds to the critical strain rate at which the crack develops from slow to rapid propagation, which is used to define the crack risk threshold.
[0136] Furthermore, for the crack damage response curve, the strain rate range corresponding to the abrupt change in crack propagation characteristic value is extracted and defined as the critical strain rate range for cracking; for the grain evolution response curve, the temperature range corresponding to the drastic change in grain boundary migration distance is extracted and defined as the critical temperature range for grain coarsening. Finally, the critical risk parameters for cracking and grain coarsening during titanium alloy die forging are obtained, providing accurate thresholds for process optimization.
[0137] Furthermore, by analyzing the grain evolution response curve, the point where the second derivative is zero corresponds to the critical characteristic of a sudden increase in grain growth rate during die forging when the temperature rises to a certain value.
[0138] Furthermore, the temperature corresponding to the inflection point was extracted, and the temperature + forging force environment was reproduced in a thermal simulation tester. The metallographic sample was kept at the temperature and the grain boundary / grain changes were detected to simulate the abnormal temperature control scenario of the heating furnace. The actual abnormal coarsening of the titanium alloy grains was observed to verify the authenticity of the inflection point.
[0139] Furthermore, from the verified temperatures, the minimum and maximum coarsening temperatures are selected to define the critical range for grain coarsening. It is clear that during die forging, the heating / die temperature must be controlled outside the range to avoid grain coarsening.
[0140] In summary, the macroscopic quality defects of titanium alloy forging cracks and grain coarsening are decomposed into the correlation between microstructure response and process parameter gradient, upgrading the instability risk from qualitative judgment to quantitative threshold, and accurately revealing the evolution logic of thermo-mechanical parameters → microstructure → macroscopic defects.
[0141] In summary, clearly defining the critical strain rate range for cracking and the critical temperature range for grain coarsening, and strictly controlling the process parameters within the critical range to establish a dual safety red line for titanium alloy die forging, is essential to avoid cracking and grain coarsening defects, and to transform instability prevention from vague experience to clear quantitative standards.
[0142] In summary, the results of microscopic experiments and parameter decoupling can guide the equipment control and quality inspection of die forging production, forming a closed loop of parameter optimization, microstructure inspection and quality improvement, thereby improving the yield of titanium alloy forgings from the root and meeting the stringent zero-defect requirements of high-end fields such as aerospace.
[0143] In summary, clearly defining the safe ranges for strain rate and temperature directly guides the control and process design of forging equipment, reducing quality defects caused by exceeding parameter limits from the source.
[0144] In summary, replacing purely theoretical derivation with metallographic testing makes the critical range more precise and convincing. High-end fields such as aerospace have stringent requirements for grain size and crack control in titanium alloy forgings. This empirically verified threshold definition can significantly improve product consistency and reliability, supporting the upgrading of titanium alloy forgings towards higher precision and higher stability.
[0145] S5. Determine the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening.
[0146] In this embodiment of the invention, determining the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening includes:
[0147] The upper limit of the critical strain rate range for cracking is taken as the critical strain rate reference value of the titanium alloy forging.
[0148] The lower limit of the critical temperature range for grain coarsening is used as the critical temperature reference value for the titanium alloy forging.
[0149] By coupling the critical strain rate reference value with the critical temperature reference value, the quality index of the titanium alloy forging is obtained.
[0150] Specifically, in titanium alloy die forging, excessively high strain rates can easily lead to cracking, and excessively high temperatures can easily lead to grain coarsening. These two are the core thermo-mechanical parameters affecting the quality of forgings. By extracting the upper limit of the critical strain rate for cracking and the lower limit of the critical temperature for grain coarsening, the two critical parameters are coupled to construct a quality index that can simultaneously avoid cracking and grain coarsening, thus upgrading quality control from single-parameter constraints to multi-parameter collaborative control.
[0151] Furthermore, the upper limit of the defined critical strain rate range for cracking is taken as the critical strain rate benchmark value.
[0152] Furthermore, by taking the lower limit value from the defined critical temperature range for grain coarsening as the critical temperature benchmark value, the most stringent quality risk threshold is precisely locked.
[0153] Furthermore, by synergistically linking the critical strain rate benchmark value and the critical temperature benchmark value, a quality indicator is formed. It is clarified that during die forging, the strain rate must be less than the critical rate and the temperature must be less than the critical temperature to avoid the two major defects. This provides a quantifiable and executable multi-parameter collaborative standard for quality control.
[0154] In summary, by simultaneously locking in the most stringent critical values for cracking and grain coarsening, the quality indicators cover the two core defect risks of titanium alloy forging.
[0155] In general, abstract quality requirements are transformed into specific parameter constraints to directly guide die forging production. For example, the heating furnace temperature must be lower than the critical temperature reference value, and the strain rate of the die forging equipment must be lower than the critical rate reference value.
[0156] In summary, by coupling parameters, a temperature-strain rate synergistic quality index is established, which promotes the upgrading of the die forging process from single-parameter optimization to multi-parameter synergistic optimization. Subsequently, based on this index, the temperature control accuracy of the heating furnace and the stability of the equipment loading rate can be optimized in reverse, thereby improving the overall quality of titanium alloy forgings from the root.
[0157] S6. Associate the quality indicators with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging.
[0158] In this embodiment of the invention, the step of associating the quality index with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging includes:
[0159] Establish a mapping relationship between the pressure adjustment parameters of the hydraulic press in the equipment control parameters and the critical strain rate range for cracking, and obtain the pressure-strain rate mapping table of the titanium alloy forging;
[0160] A mapping relationship is constructed between the temperature control parameters of the heating furnace in the equipment control parameters and the critical temperature range of grain coarsening, so as to obtain the temperature-grain size mapping table of the titanium alloy forging;
[0161] Based on the pressure-strain rate mapping table and the temperature-grain size mapping table, a two-dimensional parameter space for the titanium alloy forging is constructed.
[0162] By enumerating the effective combinations of equipment parameters and their corresponding quality status information in the two-dimensional parameter space, the parameter-quality relationship table of the titanium alloy forging is obtained.
[0163] Specifically, in titanium alloy die forging, the hydraulic press pressure directly determines the strain rate, and the heating furnace temperature control parameters directly determine the forging temperature. By establishing a mapping relationship between equipment control parameters and critical parameters for quality defects, abstract quality indicators are transformed into concrete equipment parameter instructions, allowing quality control to move from parameter constraints to executable operational standards.
[0164] Furthermore, the actual strain rate values of titanium alloy forgings under different pressure parameters were tested, the associated critical strain rate range for cracking was determined, a pressure-strain rate mapping table was established, and the correlation between hydraulic press pressure adjustment and cracking risk was clarified.
[0165] Furthermore, the actual temperature values of titanium alloy forgings under different temperature control parameters were tested, the associated critical temperature range for grain coarsening was determined, a temperature-grain size mapping table was established, and the correlation between furnace temperature control adjustment and grain coarsening risk was clarified.
[0166] Furthermore, taking hydraulic press pressure (X-axis) and heating furnace temperature control (Y-axis) as dimensions, the pressure-strain rate mapping table and temperature-grain size mapping table are integrated to construct a two-dimensional parameter space, where each coordinate point corresponds to a set of equipment parameters and the corresponding quality risk status.
[0167] Furthermore, by traversing the effective combinations of equipment parameters in the two-dimensional parameter space, recording the quality status corresponding to each set of parameters, and organizing them into parameter-quality relationships, workers can directly query how to adjust the equipment and whether the quality meets the standards after adjustment, making process optimization and quality control traceable.
[0168] In summary, the quality requirements for cracking and grain coarsening are transformed into executable parameters for hydraulic press pressure and heating furnace temperature control, thus solving the problem of the disconnect between quality requirements and equipment regulation.
[0169] In summary, the two-dimensional parameter space intuitively presents the relationship between equipment parameter combinations and quality status, transforming process optimization from experience-based trial and error to data-driven approaches, and quickly finding the optimal equipment parameter combinations for quality.
[0170] In summary, the parameter-quality relationship table provides a unified quantitative standard for operators, process engineers, and quality inspectors, reducing communication costs, improving the collaborative efficiency of the entire process from production to quality inspection in titanium alloy die forging, and helping to consistently produce high-quality forgings.
[0171] S7. Perform quality-oriented screening on the parameter-quality relationship table and output the optimized process parameter set that meets the comprehensive quality requirements of the titanium alloy forging.
[0172] In this embodiment of the invention, the step of performing quality-oriented screening on the parameter-quality relationship table to output an optimized set of process parameters that meets the comprehensive quality requirements of the titanium alloy forging includes:
[0173] The parameter-quality relationship table was filtered to obtain the parameter combination that met the coupling score in the titanium alloy forging;
[0174] An orthogonal experiment was performed on the parameter combination to confirm that the overall quality of the titanium alloy forgings met industry standards.
[0175] The parameter set that meets the test requirements and has the best coupling score is selected as the optimized process parameter set.
[0176] Specifically, titanium alloy die forging must simultaneously meet comprehensive quality requirements such as no cracking, fine grains, and performance compliance.
[0177] Specifically, by screening and experimentally verifying the parameter-quality relationship table, the process parameters that meet the quality standards and have the best coupling score are found from multiple combinations of equipment parameters, thus upgrading process optimization from multiple solutions to selecting the best among the best.
[0178] Furthermore, based on quality dimensions such as cracking risk, grain coarsening risk, and performance compliance, coupling scoring rules are set for the generated parameter-quality relationship table to screen out parameter combinations that meet the scoring criteria, and candidate parameters that initially meet the basic quality requirements are preliminarily identified.
[0179] Furthermore, orthogonal experiments are conducted on candidate parameter combinations to test whether the overall quality meets industry standards, and at the same time to verify whether parameter combinations that achieve the required scores can also meet quality standards in actual production.
[0180] Furthermore, from the parameter combinations that passed the orthogonal experiment, the group with the highest coupling score was selected as the optimized process parameter group to ensure that the final parameters have the best quality and the best overall performance, and can be directly used for large-scale die forging production.
[0181] In summary, orthogonal experiments are used to verify the actual quality of parameter combinations and ensure that the optimized parameters strictly comply with industry standards.
[0182] In summary, by selecting the combination with the optimal coupling score from multiple candidate parameters, the titanium alloy die forging process is upgraded from meeting basic quality requirements to pursuing comprehensive optimization, thus meeting the demand for ultimate quality in high-end fields.
[0183] In summary, the optimal parameter set can be directly used for large-scale die forging, reducing the time and cost of subsequent parameter debugging and quality rectification, and achieving synergy between process optimization and production efficiency.
[0184] like Figure 2 The diagram shown is a functional block diagram of a titanium alloy die forging process parameter optimization system provided in an embodiment of the present invention.
[0185] The titanium alloy die forging process parameter optimization system 100 described in this invention can be installed in an electronic device. Depending on the functions implemented, the titanium alloy die forging process parameter optimization system 100 may include a parameter acquisition module 101, a hot working diagram generation module 102, a stability domain identification module 103, a critical feature decoupling module 104, a quality index mapping module 105, a parameter-quality correlation module 106, and a quality-oriented screening module 107. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.
[0186] In this embodiment, the functions of each module / unit are as follows:
[0187] The parameter acquisition module 101 is used to acquire the thermophysical parameters and mechanical property parameters of the titanium alloy billet.
[0188] The hot working diagram generation module 102 is used to construct a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters.
[0189] The stability domain identification module 103 is used to identify the stability region of the hot working diagram and to calibrate the instability parameter domain of the titanium alloy forging.
[0190] The critical feature decoupling module 104 is used to quantitatively decouple the critical features of the instability parameter domain to obtain the cracking critical strain rate range and grain coarsening critical temperature range of the titanium alloy forging.
[0191] The quality index mapping module 105 is used to determine the quality index of the titanium alloy forging based on the cracking critical strain rate range and the grain coarsening critical temperature range.
[0192] The parameter-quality correlation module 106 is used to correlate the quality index with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging.
[0193] The quality-oriented screening module 107 is used to perform quality-oriented screening on the parameter-quality relationship table and output an optimized set of process parameters that meet the comprehensive quality requirements of the titanium alloy forging.
[0194] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.
[0195] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0196] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.
[0197] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0198] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.
[0199] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims
1. A method for optimizing titanium alloy die forging process parameters, characterized in that, The method includes: S1. Collect the thermophysical and mechanical property parameters of the titanium alloy billet; S2. Construct a hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters; S3. Identify the stability region of the hot working diagram and calibrate the instability parameter domain of the titanium alloy forging; S4. Quantitatively decouple the critical characteristics of the instability parameter domain to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging, including: Microstructural localization of the forging deformation zone corresponding to the instability parameter domain is performed to obtain the crack initiation zone and grain abnormality zone of the forging deformation zone. A strain rate gradient test was performed on the crack initiation zone to obtain the crack propagation characteristic values of the crack initiation zone; Based on the correspondence between the strain rate gradient and the crack propagation characteristic value, the crack damage response curve of the titanium alloy forging is plotted. The critical strain rate range for crack initiation of the titanium alloy forging is defined based on the critical strain rate at the abrupt change point in the crack damage response curve, including: Identify extreme points in the crack damage response curve where the curvature value exceeds a preset abrupt change threshold; Crack verification was performed on the metallographic specimen at the strain rate corresponding to the extreme point. The minimum strain rate in the crack verification is selected as the lower limit of the interval, and the maximum strain rate is selected as the upper limit of the interval to obtain the critical strain rate range for cracking of the titanium alloy forging. A temperature gradient test was performed on the grain anomaly region to obtain the grain boundary migration distance of the grain anomaly region. Based on the correspondence between the temperature gradient and the grain boundary migration distance, the grain evolution response curve of the titanium alloy forging is plotted. The critical temperature range for grain coarsening of the titanium alloy forging is defined based on the inflection point critical temperature in the grain evolution response curve. S5. Determine the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening. S6. Correlate the quality indicators with the equipment control parameters of the titanium alloy forging to obtain the parameter-quality relationship table of the titanium alloy forging, including: Establish a mapping relationship between the pressure adjustment parameters of the hydraulic press in the equipment control parameters and the critical strain rate range for cracking, and obtain the pressure-strain rate mapping table of the titanium alloy forging; A mapping relationship is constructed between the temperature control parameters of the heating furnace in the equipment control parameters and the critical temperature range of grain coarsening, so as to obtain the temperature-grain size mapping table of the titanium alloy forging; Based on the pressure-strain rate mapping table and the temperature-grain size mapping table, a two-dimensional parameter space for the titanium alloy forging is constructed. By enumerating the effective combinations of equipment parameters and corresponding quality status information in the two-dimensional parameter space, the parameter-quality relationship table of the titanium alloy forging is obtained; S7. Perform quality-oriented screening on the parameter-quality relationship table to output an optimized set of process parameters that meet the comprehensive quality requirements of the titanium alloy forgings, including: The parameter-quality relationship table was filtered to obtain the parameter combination that met the coupling score in the titanium alloy forging; An orthogonal experiment was performed on the parameter combination to confirm that the overall quality of the titanium alloy forgings met industry standards. The parameter set that meets the test requirements and has the best coupling score is selected as the optimized process parameter set.
2. The method for optimizing titanium alloy die forging process parameters as described in claim 1, characterized in that, The construction of the hot working diagram of the titanium alloy forging based on the thermophysical parameters and the mechanical property parameters includes: The thermophysical parameters include temperature, and the mechanical performance parameters include strain rate and rheological stress. The power dissipation factor of the titanium alloy forging is calculated based on the temperature and the strain rate. The rheological instability criterion for the titanium alloy forging is calculated based on the rheological stress and the strain rate. The power dissipation spectrum of the titanium alloy forging is constructed based on the power dissipation factor, and the rheological instability spectrum of the titanium alloy forging is constructed based on the rheological instability criterion. The power dissipation spectrum and the rheological instability spectrum are superimposed to form the hot working diagram of the titanium alloy forging.
3. The method for optimizing titanium alloy die forging process parameters as described in claim 2, characterized in that, The process of identifying the stability region of the hot working diagram and calibrating the instability parameter domain of the titanium alloy forging includes: The peak region of the power dissipation factor is marked in the thermal processing diagram, and the uniform region of the peak region is marked as the stability region; By spatially superimposing the unstable transition region and the rheological instability zone in the stable region, the instability parameter domain of the titanium alloy forging is obtained.
4. The method for optimizing titanium alloy die forging process parameters as described in claim 1, characterized in that, The definition of the critical temperature range for grain coarsening of the titanium alloy forging based on the inflection point critical temperature in the grain evolution response curve includes: The point in the grain evolution response curve where the second derivative is zero is taken as the temperature inflection point; The metallographic sample at the temperature corresponding to the temperature inflection point was subjected to heat preservation verification. By selecting the minimum temperature as the lower limit of the range and the maximum temperature as the upper limit of the range in the heat preservation verification, the critical temperature range for grain coarsening of the titanium alloy forging is obtained.
5. The method for optimizing titanium alloy die forging process parameters as described in claim 1, characterized in that, The determination of the quality indicators of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening includes: The upper limit of the critical strain rate range for cracking is taken as the critical strain rate reference value of the titanium alloy forging. The lower limit of the critical temperature range for grain coarsening is used as the critical temperature reference value for the titanium alloy forging. By coupling the critical strain rate reference value with the critical temperature reference value, the quality index of the titanium alloy forging is obtained.
6. A titanium alloy die forging process parameter optimization system, characterized in that, The system includes: Parameter acquisition module: used to acquire the thermophysical and mechanical property parameters of titanium alloy billets; Hot working diagram generation module: used to construct hot working diagrams of titanium alloy forgings based on the thermophysical parameters and the mechanical property parameters; Stability Domain Identification Module: Used to identify the stability region of the hot working diagram and calibrate the instability parameter domain of the titanium alloy forging; Critical Feature Decoupling Module: Used to quantitatively decouple the critical features of the instability parameter domain to obtain the critical strain rate range for cracking and the critical temperature range for grain coarsening of the titanium alloy forging, including: Microstructural localization of the forging deformation zone corresponding to the instability parameter domain is performed to obtain the crack initiation zone and grain abnormality zone of the forging deformation zone. A strain rate gradient test was performed on the crack initiation zone to obtain the crack propagation characteristic values of the crack initiation zone; Based on the correspondence between the strain rate gradient and the crack propagation characteristic value, the crack damage response curve of the titanium alloy forging is plotted. The critical strain rate range for crack initiation of the titanium alloy forging is defined based on the critical strain rate at the abrupt change point in the crack damage response curve, including: Identify extreme points in the crack damage response curve where the curvature value exceeds a preset abrupt change threshold; Crack verification was performed on the metallographic specimen at the strain rate corresponding to the extreme point. The minimum strain rate in the crack verification is selected as the lower limit of the interval, and the maximum strain rate is selected as the upper limit of the interval to obtain the critical strain rate range for cracking of the titanium alloy forging. A temperature gradient test was performed on the grain anomaly region to obtain the grain boundary migration distance of the grain anomaly region. Based on the correspondence between the temperature gradient and the grain boundary migration distance, the grain evolution response curve of the titanium alloy forging is plotted. The critical temperature range for grain coarsening of the titanium alloy forging is defined based on the inflection point critical temperature in the grain evolution response curve. Quality index mapping module: used to determine the quality index of the titanium alloy forging based on the critical strain rate range for cracking and the critical temperature range for grain coarsening; Parameter-Quality Correlation Module: Used to correlate the quality indicators with the equipment control parameters of the titanium alloy forging, obtaining a parameter-quality relationship table for the titanium alloy forging, including: Establish a mapping relationship between the pressure adjustment parameters of the hydraulic press in the equipment control parameters and the critical strain rate range for cracking, and obtain the pressure-strain rate mapping table of the titanium alloy forging; A mapping relationship is constructed between the temperature control parameters of the heating furnace in the equipment control parameters and the critical temperature range of grain coarsening, so as to obtain the temperature-grain size mapping table of the titanium alloy forging; Based on the pressure-strain rate mapping table and the temperature-grain size mapping table, a two-dimensional parameter space for the titanium alloy forging is constructed. By enumerating the effective combinations of equipment parameters and corresponding quality status information in the two-dimensional parameter space, the parameter-quality relationship table of the titanium alloy forging is obtained; Quality-oriented screening module: Used to perform quality-oriented screening on the parameter-quality relationship table, and output optimized process parameter sets that meet the comprehensive quality requirements of the titanium alloy forgings, including: The parameter-quality relationship table was filtered to obtain the parameter combination that met the coupling score in the titanium alloy forging; An orthogonal experiment was performed on the parameter combination to confirm that the overall quality of the titanium alloy forgings met industry standards. The parameter set that meets the test requirements and has the best coupling score is selected as the optimized process parameter set.