A method and system for forging control of high-quality titanium alloys

Abstract

The application relates to the field of titanium alloy forging technology, in particular to a forging control method and system for high-quality titanium alloy, which comprises the following steps: in the forging process of a titanium alloy forging, any titanium alloy forging sample under any batch is selected, infrared images of the titanium alloy forging sample at different times are collected, and X-ray diffraction patterns of the titanium alloy forging sample before and after forging are collected; the titanium alloy forging sample area in the infrared images at different times is divided into a local overheating area and a normal area; temperature characteristic values of the infrared images at different times are determined; a local overheating characteristic value of the titanium alloy forging sample is obtained; a grain characteristic value of the titanium alloy forging sample is determined; the local overheating characteristic value and the grain characteristic value are combined to determine a strain rate adjustment value of the titanium alloy forging sample, which is used for adjusting the strain rate of the next batch of titanium alloy forgings in the forging process of the next batch of titanium alloy forgings of the same batch, so that the forging quality of the titanium alloy forgings is improved.

Description

Technical Field

[0001] This application relates to the field of titanium alloy forging technology, specifically to a forging control method and system for high-quality titanium alloys. Background Technology

[0002] High-quality titanium alloy forgings are an important basic industrial material, characterized by high strength, lightweight, corrosion resistance, and high temperature resistance, and are widely used in aerospace, shipbuilding, medical devices and other fields.

[0003] In the forging process of titanium alloy forgings, strain rate is an important factor affecting the forging quality. Existing methods usually use strain rates obtained from simulation experiments of titanium alloys to forge titanium alloy forgings. However, simulation experiments of titanium alloys cannot completely and accurately simulate the evolution of the microstructure of titanium alloys during the forging process. This results in a deviation between the strain rate obtained from the simulation experiments and the strain rate in actual forging. Consequently, problems such as local overheating or coarsening of the internal crystals of titanium alloy forgings caused by excessively high or low strain rates occur during the forging process, leading to a decline in the forging quality of titanium alloy forgings. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this application is to provide a forging control method and system for high-quality titanium alloys, the specific technical solution of which is as follows:

[0005] In a first aspect, embodiments of this application provide a forging control method for high-quality titanium alloys, the method comprising the following steps:

[0006] During the forging process of titanium alloy forgings, any titanium alloy forging sample from any batch was selected, and infrared images of the titanium alloy forging sample at various times were collected, as well as X-ray diffraction patterns of the titanium alloy forging sample before and after forging.

[0007] Based on the temperature differences at different locations in the titanium alloy forging sample, the titanium alloy forging sample area in the infrared image at each time moment is divided into a locally overheated area and a normal area.

[0008] Based on the degree of temperature deviation between the local overheated area and the normal area, and the proportion of the local overheated area in the titanium alloy forging sample area, the temperature characteristic value of the infrared image at each moment is determined; from the temperature characteristic values ​​of the titanium alloy forging sample at all moments, the local overheating characteristic value of the titanium alloy forging sample is obtained.

[0009] The difference in the full width at half maximum (FWHM) of corresponding characteristic peaks in the X-ray diffraction patterns of titanium alloy forging samples before and after forging was analyzed to determine the grain characteristic values ​​of the titanium alloy forging samples.

[0010] By combining the local overheating characteristic value and the grain characteristic value, a strain rate adjustment value for the titanium alloy forging sample is determined, which is used to adjust the strain rate of the next batch of titanium alloy forgings in any batch during its forging process.

[0011] In one embodiment, dividing the titanium alloy forging sample area in the infrared image at each time moment into a locally overheated area and a normal area includes:

[0012] The titanium alloy forging sample region is extracted from the infrared image at each time point. The titanium alloy forging sample region is then segmented by a threshold. Regions with values ​​greater than the segmentation threshold are designated as local overheated regions, while regions with values ​​less than or equal to the segmentation threshold are designated as normal regions.

[0013] In one embodiment, determining the temperature characteristic value includes:

[0014] For infrared images at various times, the difference between the average temperature of all pixels in the local overheated area and the average temperature of all pixels in the normal area is determined and denoted as the first difference. The temperature feature value is positively correlated with the first difference and the proportion.

[0015] In one embodiment, the temperature characteristic value is the product of the first difference and the percentage.

[0016] In one embodiment, the local overheating characteristic value is the maximum value among the temperature characteristic values ​​of the titanium alloy forging sample at all times.

[0017] In one embodiment, the determination of the grain characteristic values ​​includes:

[0018] All characteristic peaks were extracted from the X-ray diffraction patterns of the titanium alloy forging samples before and after forging. The reciprocal of the full width at half maximum (FWHM) of all characteristic peaks before forging was used to form the grain characteristic sequence. Correspondingly, the grain characteristic sequence of the titanium alloy forging samples after forging was obtained.

[0019] Calculate the difference between the elements at the same position in the grain feature sequence of the titanium alloy forging sample after forging and the elements at the same position in the grain feature sequence before forging, and calculate the ratio of the difference to the elements at the same position in the grain feature sequence before forging.

[0020] The grain characteristic value is determined based on the numerical magnitude of all the ratios of the titanium alloy forging sample.

[0021] In one embodiment, the grain characteristic value is the mean of all ratios greater than 0 in the titanium alloy forging sample.

[0022] In one embodiment, the strain rate adjustment value of the titanium alloy forging sample is determined by combining the local overheating characteristic value and the grain characteristic value, expressed as:

[0023] In the formula, S is the strain rate adjustment value of the titanium alloy forging sample, s1 and s2 are the upper and lower limits of the strain rate used by the titanium alloy forging during forging, w1 and w2 represent the local overheating characteristic value and grain characteristic value of the titanium alloy forging sample, respectively, and round[] is the rounding function.

[0024] In one embodiment, the strain rate adjustment value of the titanium alloy forging sample is used as the strain rate of the next batch of titanium alloy forgings during its forging process.

[0025] Secondly, embodiments of this application also provide a forging control system for high-quality titanium alloys, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0026] This application has at least the following beneficial effects:

[0027] This application acquires infrared images of titanium alloy forging samples at various times, as well as X-ray diffraction patterns of the samples before and after forging. Based on the temperature differences at different locations within the titanium alloy forging samples, the regions of the titanium alloy forging samples in the infrared images at each time point are divided into locally overheated regions and normal regions. This accurately identifies locally overheated regions caused by deformation heat effects, improving the accuracy of temperature field anomaly detection. Based on the degree of temperature deviation between locally overheated and normal regions, and the proportion of locally overheated regions in the titanium alloy forging sample region, temperature characteristic values ​​of the infrared images at each time point are determined. These temperature characteristic values ​​comprehensively reflect the overall thermal uniformity of the forging, optimizing the quantitative characterization of the thermal process and improving the accuracy of assessing local overheating phenomena during forging. Local overheating characteristic values ​​of the titanium alloy forging samples are obtained by filtering from the temperature characteristic values ​​at all times. Determining these local overheating characteristic values ​​helps identify areas prone to overheating during the forging process. The critical period of heat concentration provides a directional basis for batch-to-batch process adjustments, reducing fluctuations in the microstructure and properties of forgings. Analyzing the difference in the full width at half maximum (FWHM) of corresponding characteristic peaks in the X-ray diffraction patterns of titanium alloy forging samples before and after forging determines the grain characteristic values ​​of the titanium alloy forging samples. Determining the grain characteristic values ​​enhances the tracking of microstructure evolution in forgings, sensitively captures the degree of grain coarsening, and improves the objectivity of grain state assessment. Combining the local overheating characteristic values ​​with the grain characteristic values, the strain rate adjustment value of the titanium alloy forging samples is determined. This value is used to adjust the strain rate of the next batch of titanium alloy forgings during its forging process, ensuring that strain rate optimization simultaneously considers macroscopic thermal field balance and microstructure integrity, avoiding the limitations of single-factor control, improving the accuracy and adaptability of strain rate adjustment during titanium alloy forging, enhancing the defect suppression capability of titanium alloy forging, and further improving the forging quality of titanium alloy forgings. Attached Figure Description

[0028] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 A flowchart illustrating the steps of a forging control method for high-quality titanium alloys provided in one embodiment of this application;

[0030] Figure 2 Flowchart for strain rate adjustment. Detailed Implementation

[0031] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a forging control method and system for high-quality titanium alloys proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0033] The following description, in conjunction with the accompanying drawings, details the specific scheme of the forging control method and system for high-quality titanium alloys provided in this application.

[0034] Please see Figure 1 The diagram illustrates a flowchart of a forging control method for high-quality titanium alloys according to an embodiment of this application. The method includes the following steps:

[0035] S1. During the forging process of titanium alloy forgings, select any titanium alloy forging sample from any batch, collect infrared images of the titanium alloy forging sample at various times, and X-ray diffraction patterns of the titanium alloy forging sample before and after forging.

[0036] This embodiment takes any specification of TC21 titanium alloy forging as an example to control the strain rate during the forging process. Taking the forging of titanium alloy forgings from the i-th batch as an example, a titanium alloy forging sample W is randomly selected from this batch. During the forging process of this batch of titanium alloy forgings, an infrared thermal imager is used to photograph the titanium alloy forging sample W to obtain an infrared image of the titanium alloy forging sample W. The acquisition time interval of the infrared image is 1 second, and the value of each pixel in the infrared image is the temperature value. The implementer can set the acquisition time interval of the infrared image according to the actual situation, and this embodiment does not impose any restrictions on this.

[0037] Simultaneously, X-ray diffraction patterns of titanium alloy forging samples W from the i-th batch were obtained before and after forging using an X-ray diffractometer. The horizontal and vertical axes of the X-ray diffraction patterns represent the diffraction angle and diffraction intensity, respectively. The X-ray diffraction pattern of titanium alloy forging sample W before forging is denoted as B1, and the X-ray diffraction pattern of titanium alloy forging sample W after forging is denoted as B2.

[0038] Secondly, this embodiment uses a median filtering algorithm to perform smoothing and denoising processing on each acquired infrared image to reduce the noise impact on the infrared image during its acquisition and transmission. The median filtering algorithm is a well-known technology, and the specific process will not be described in detail. Implementers can choose other existing feasible filtering algorithms, and this embodiment does not impose any restrictions on this.

[0039] Furthermore, each acquired X-ray diffraction pattern is subjected to background subtraction and smoothing processing to remove background signals generated by instrument noise and amorphous components in the X-ray diffractometer, as well as to eliminate random noise in the X-ray diffraction pattern. The background subtraction and smoothing processing of the X-ray diffraction pattern are well-known techniques, and the specific process will not be described in detail.

[0040] Finally, since the temperature of titanium alloy forgings during the forging process is usually not higher than the melting point of titanium alloy, in this embodiment, the temperature value of each pixel in each infrared image of the collected titanium alloy forging sample W is replaced with the ratio of the temperature value to the melting point of TC21 titanium alloy to standardize the temperature data in the infrared image. That is, the temperature data value in the infrared image is converted to the range of (0,1). The infrared images analyzed subsequently are all infrared images with normalized temperature values.

[0041] S2, based on the temperature difference at different locations in the titanium alloy forging sample, divides the titanium alloy forging sample area in the infrared image at each time point into a locally overheated area and a normal area.

[0042] Since the deformation heat generated during the forging process of titanium alloy forgings is positively correlated with its strain rate, a large amount of deformation heat is generated when forging titanium alloy forgings at a high strain rate. This means that the heat generated per unit time increases significantly. However, titanium alloy has a low thermal conductivity, meaning that the heat diffusion rate within the titanium alloy forging is slow. This leads to localized overheating due to the large amount of deformation heat, resulting in uneven deformation and reduced forging quality. Therefore, to reduce the degree of localized overheating caused by excessively high strain rates during the forging process of titanium alloy forgings, and to improve the forging quality of subsequent batches, this embodiment analyzes various infrared images of the titanium alloy forging sample W. Specifically:

[0043] Taking any infrared image A of the collected titanium alloy forging sample W as an example, the titanium alloy forging region a in the infrared image A is segmented using a semantic segmentation model. The semantic segmentation model can be FCN (Fully Convolutional Networks), U-Net, or DeepLab semantic segmentation model. In this embodiment, the FCN semantic segmentation model is used. The FCN semantic segmentation model is a well-known technology, and the specific process will not be described in detail.

[0044] Furthermore, in this embodiment, the Otsu Threshold Segmentation (OTSU) algorithm is used to obtain the segmentation threshold of all pixels in the titanium alloy forging region a. The region in the titanium alloy forging region a that is greater than the segmentation threshold is designated as the local overheated region a1, and the region in the titanium alloy forging region a that is less than or equal to the segmentation threshold is designated as the normal region a2. The OTSU algorithm is a well-known technology, and the specific process will not be described in detail. Implementers can choose other existing feasible threshold segmentation algorithms, and this embodiment does not impose any restrictions on this.

[0045] S3. Based on the temperature deviation between the local overheated area and the normal area, and the proportion of the local overheated area in the titanium alloy forging sample area, determine the temperature characteristic value of the infrared image at each moment; filter from the temperature characteristic values ​​of the titanium alloy forging sample at all moments to obtain the local overheating characteristic value of the titanium alloy forging sample.

[0046] Analyze the temperature deviation between the overheated area and the normal area in infrared image A, and determine the difference between the average temperature of all pixels in the overheated area and the average temperature of all pixels in the normal area, denoted as the first difference. Here, the difference represents the degree of difference between two variables, and can be calculated using methods such as difference value, absolute value of difference, ratio, etc., which are not limited in this embodiment.

[0047] In this embodiment, the difference between the mean temperature value of all pixels in the locally overheated region a1 and the mean temperature value of all pixels in the normal region a2 is calculated as the first difference, which is used to evaluate the degree of temperature deviation between the locally overheated region and the normal region in the area where the titanium alloy forging is located. The ratio between the number of all pixels in the locally overheated region a1 and the number of all pixels in the titanium alloy forging region a is calculated and recorded as the first ratio, which is used to evaluate the area proportion of the locally overheated region a1 in the titanium alloy forging region a. The product of the first difference and the first ratio is used as the temperature feature value of the infrared image A, which is used to evaluate the degree of local overheating phenomenon that occurs when the titanium alloy forging sample is forged at the time when the infrared image A is acquired.

[0048] Furthermore, the maximum value among all the temperature characteristic values ​​of the infrared images collected from the titanium alloy forging sample is taken as the local overheating characteristic value of the titanium alloy forging sample. This value is used to evaluate the maximum extent of local overheating that occurs during the forging process of the titanium alloy forging sample. The larger the local overheating characteristic value, the smaller the strain rate should be used when forging the next batch of titanium alloy forgings, so as to reduce the degree of local overheating that occurs during the forging process of the next batch of titanium alloy forgings. The value range of the local overheating characteristic value is (0,1).

[0049] S4. Analyze the difference in the full width at half maximum (FWHM) of the corresponding characteristic peaks in the X-ray diffraction patterns of the titanium alloy forging samples before and after forging, and determine the grain characteristic values ​​of the titanium alloy forging samples.

[0050] When forging titanium alloy forgings, a decrease in the strain rate of the titanium alloy means a longer high-temperature deformation time. When the strain rate of the titanium alloy forging is small, the longer deformation time provides sufficient time for the dynamic recovery and recrystallization of the internal crystals, thereby allowing the internal stress of the forging to be fully relaxed, thus improving the softening effect. However, if the strain rate is too small, the grains inside the forging are easily coarsened due to the excessively long deformation time, which reduces the room temperature plasticity and fatigue strength of the forging, thereby reducing the forging quality of the titanium alloy forging. Therefore, in order to reduce the degree of internal crystal coarsening caused by the excessively small strain rate during the forging process of titanium alloy forgings, and to improve the forging quality of titanium alloy forgings in subsequent batches, this embodiment analyzes the X-ray diffraction pattern of titanium alloy forging sample W, specifically:

[0051] Taking the X-ray diffraction pattern B1 obtained before forging of titanium alloy forging sample W as an example, since the full width at half maximum (FWHM) of diffraction peaks in X-ray diffraction patterns is inversely proportional to the grain size, all characteristic peaks in X-ray diffraction pattern B1 and the diffraction angle corresponding to the peak value of each characteristic peak are extracted. The FWHM of each characteristic peak is calculated, and the reciprocals of all the obtained FWHMs are arranged in ascending order according to the diffraction angle of the characteristic peak corresponding to the FWHM. The grain characteristic sequence b1 of X-ray diffraction pattern B1 is obtained and used to evaluate the distribution of grain size in the titanium alloy forging sample before forging.

[0052] Correspondingly, using the same method as grain feature sequence b1, the grain feature sequence b2 of the X-ray diffraction pattern B2 obtained after forging of titanium alloy forging sample W is obtained, which is used to evaluate the distribution of grain size in titanium alloy forging sample W after forging.

[0053] For any element k1 in the grain feature sequence b2, determine the position of element k1 in the grain feature sequence b2, obtain the element k2 with the same position as element k1 in the grain feature sequence b1, calculate the difference between element k1 and element k2, denoted as peak width difference, and calculate the ratio of the peak width difference to element k2, denoted as the second ratio. For all elements in the grain feature sequence b2, the same calculation method as for element k1 is used to obtain the second ratio, and the second ratio corresponding to all elements in the grain feature sequence b2 is obtained. The average of all second ratios greater than 0 in the titanium alloy forging sample W is taken as the grain feature value of the titanium alloy forging sample W, which is used to evaluate the degree of grain coarsening in the titanium alloy forging sample W after forging compared with the degree of grain coarsening in the titanium alloy forging sample W before forging. The larger the grain feature value, the larger the strain rate should be used when forging the next batch of titanium alloy forgings, so as to reduce the degree of grain coarsening in the next batch of titanium alloy forgings during its forging process. The value range of the grain feature value is (0,1).

[0054] S5. Combining the local overheating characteristic value and the grain characteristic value, determine the strain rate adjustment value of the titanium alloy forging sample, which is used to adjust the strain rate of the next batch of titanium alloy forgings in any batch during its forging process.

[0055] Furthermore, the strain rate adjustment value S of the titanium alloy forging sample W is determined and used as the strain rate for the next batch of titanium alloy forgings during their forging process. The strain rate adjustment value S is calculated as follows:

[0056] In the formula, S is the strain rate adjustment value of the titanium alloy forging sample, s1 and s2 are the upper and lower limits of the strain rate used during forging of the titanium alloy forging, w1 and w2 represent the local overheating characteristic value and grain characteristic value of the titanium alloy forging sample, respectively, and round[] is the rounding function. In this embodiment, s1 and s2 are set to 1.00 and 0.01, respectively, with units of s. -1 The strain rate can be obtained by the implementer through hot-simulation compression deformation experiments on TC21 titanium alloy forgings of the previous specifications. The implementer can set the strain rate according to the actual situation. The strain rate adjustment flowchart is as follows: Figure 2 As shown.

[0057] Finally, the strain rate adjustment value S is used as the strain rate of the next batch of titanium alloy forgings in the i-th batch during its forging process, and the forging of subsequent titanium alloy forgings continues, thereby achieving forging control of titanium alloys.

[0058] Based on the same inventive concept as the above method, this application embodiment also provides a forging control system for high-quality titanium alloys, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described methods for forging control of high-quality titanium alloys.

[0059] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments of this specification have been described above. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0060] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0061] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this application should be included within the protection scope of this application.

Claims

1. A forging control method for high-quality titanium alloys, characterized in that, The method includes the following steps: During the forging process of titanium alloy forgings, any titanium alloy forging sample from any batch was selected, and infrared images of the titanium alloy forging sample at various times were collected, as well as X-ray diffraction patterns of the titanium alloy forging sample before and after forging. Based on the temperature differences at different locations in the titanium alloy forging sample, the titanium alloy forging sample area in the infrared image at each time moment is divided into a locally overheated area and a normal area. Based on the degree of temperature deviation between the local overheated area and the normal area, and the proportion of the local overheated area in the titanium alloy forging sample area, the temperature characteristic value of the infrared image at each moment is determined; from the temperature characteristic values ​​of the titanium alloy forging sample at all moments, the local overheating characteristic value of the titanium alloy forging sample is obtained. The difference in the full width at half maximum (FWHM) of corresponding characteristic peaks in the X-ray diffraction patterns of titanium alloy forging samples before and after forging was analyzed to determine the grain characteristic values ​​of the titanium alloy forging samples. By combining the local overheating characteristic value and the grain characteristic value, a strain rate adjustment value for the titanium alloy forging sample is determined, which is used to adjust the strain rate of the next batch of titanium alloy forgings in any batch during its forging process.

2. The forging control method for high-quality titanium alloy as described in claim 1, characterized in that, The process of dividing the titanium alloy forging sample area in the infrared image at each time moment into a locally overheated area and a normal area includes: The titanium alloy forging sample region is extracted from the infrared image at each time point. The titanium alloy forging sample region is then segmented by a threshold. Regions with values ​​greater than the segmentation threshold are designated as local overheated regions, while regions with values ​​less than or equal to the segmentation threshold are designated as normal regions.

3. The forging control method for high-quality titanium alloys as described in claim 1, characterized in that, The determination of the temperature characteristic value includes: For infrared images at various times, the difference between the average temperature of all pixels in the local overheated area and the average temperature of all pixels in the normal area is determined and denoted as the first difference. The temperature feature value is positively correlated with the first difference and the proportion.

4. The forging control method for high-quality titanium alloys as described in claim 3, characterized in that, The temperature characteristic value is the product of the first difference and the percentage.

5. The forging control method for high-quality titanium alloys as described in claim 1, characterized in that, The local overheating characteristic value is the maximum value among the temperature characteristic values ​​of the titanium alloy forging sample at all times.

6. The forging control method for high-quality titanium alloy as described in claim 1, characterized in that, The determination of the grain characteristic values ​​includes: All characteristic peaks were extracted from the X-ray diffraction patterns of the titanium alloy forging samples before and after forging. The reciprocal of the full width at half maximum (FWHM) of all characteristic peaks before forging was used to form the grain characteristic sequence. Correspondingly, the grain characteristic sequence of the titanium alloy forging samples after forging was obtained. Calculate the difference between the elements at the same position in the grain feature sequence of the titanium alloy forging sample after forging and the elements at the same position in the grain feature sequence before forging, and calculate the ratio of the difference to the elements at the same position in the grain feature sequence before forging. The grain characteristic value is determined based on the numerical magnitude of all the ratios of the titanium alloy forging sample.

7. The forging control method for high-quality titanium alloys as described in claim 6, characterized in that, The grain characteristic value is the mean of all ratios greater than 0 in the titanium alloy forging sample.

8. The forging control method for high-quality titanium alloy as described in claim 1, characterized in that, The strain rate adjustment value for the titanium alloy forging sample is determined by combining the local overheating characteristic value and the grain characteristic value, and the expression is: In the formula, S is the strain rate adjustment value of the titanium alloy forging sample, s1 and s2 are the upper and lower limits of the strain rate used by the titanium alloy forging during forging, w1 and w2 represent the local overheating characteristic value and grain characteristic value of the titanium alloy forging sample, respectively, and round[] is the rounding function.

9. The forging control method for high-quality titanium alloys as described in claim 1, characterized in that, The strain rate adjustment value of the titanium alloy forging sample is used as the strain rate of the next batch of titanium alloy forgings during its forging process.

10. A forging control system for high-quality titanium alloys, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-9.

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