A rapid batching method for preparing titanium alloy electrodes by VAR melting

Abstract

This invention belongs to the field of titanium alloy smelting technology and relates to a rapid batching method for preparing titanium alloy electrodes by VAR melting. The method includes: determining the production process influence coefficient of each element based on the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode; and determining the raw material ratio for preparing the titanium alloy electrode based on the production process influence coefficient of each element. This invention determines the production process influence coefficient of each element by using the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode, and adjusts the raw material ratio for preparing the titanium alloy electrode based on the production process influence coefficient of each element. This reduces the deviation between the alloy element ratio and the target value, and achieves accurate determination of the raw material feed ratio when preparing titanium alloy electrodes by VAR melting. It solves the problems of difficulty in determining the raw material feed ratio, large deviation between the alloy element composition and the target value, difficulty in calculating the raw material ratio, time-consuming and labor-intensive process, and high error rate in existing technologies.

Description

Technical Field

[0001] This invention relates to the field of titanium alloy smelting technology, and in particular to a rapid batching method for preparing titanium alloy electrodes by VAR melting. Background Technology

[0002] Vacuum self-consumable melting (VAR) is a high-precision melting technology that can be carried out in a vacuum environment, avoiding contamination by impurities and thus obtaining high-purity materials. However, existing VAR melting technologies have the following problems: Firstly, the vacuum-sealed environment restricts the feeding method, and secondary feeding is not allowed during the melting process; therefore, the elements cannot be adjusted according to losses in VAR melting; at the same time, because the losses of each element are different in VAR melting, VAR melting cannot be carried out according to a uniform standard for batching.

[0003] On the other hand, the calculation of titanium and titanium alloy ingot batching needs to consider the loss data of different elements in the raw materials, multi-element master alloys, the interaction of multiple factors, and the changes of various components during the smelting process. Currently, the calculation of titanium alloy batching values ​​usually uses composition back-calculation methods and estimation methods. These methods require a lot of time due to the large amount of calculation involved, and are prone to calculation errors or large errors, which can cause fluctuations in product composition and may lead to serious consequences such as unqualified ingots, resulting in significant economic losses. Summary of the Invention

[0004] In view of the above analysis and in view of the shortcomings of the prior art, the present invention aims to provide a rapid batching method for preparing titanium alloy electrodes by VAR melting, which solves at least one of the following problems in the prior art: difficulty in determining the raw material feed ratio, large deviation between the alloy element composition and the target value, difficulty in calculating the raw material ratio, time-consuming and labor-intensive process, and high error rate.

[0005] The objective of this invention is mainly achieved through the following technical solutions:

[0006] This invention discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, comprising:

[0007] The production process influence coefficient of each element is determined based on the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode.

[0008] The raw material ratio for preparing titanium alloy electrodes is determined based on the influence coefficients of each element in the production process.

[0009] Preferably, the production process influence coefficient R satisfies: R=k×|MAX-MIN|±b×(MAX+MIN), where MAX represents the upper limit of the target value of each element content in the titanium alloy electrode, MIN represents the lower limit of the target value of each element content in the titanium alloy electrode, and k and b represent coefficients in the formula.

[0010] Preferably, the influence coefficient R of the Al element production process Al The range of values ​​for R satisfies: Al = -(0.08~0.15)×|MAX Al -MIN Al |±(0.02~0.03)×(MAX Al +MIN Al ), where MAX Al MIN represents the upper limit of the target value for the Al element content in titanium alloy electrodes. Al This indicates the lower limit of the target value for the Al element content in the titanium alloy electrode.

[0011] Preferably, the influence coefficient R of the V element production process V The range of values ​​for R satisfies: V = -(0.05~0.1)×|MAX V -MIN V |±(0.04~0.07)×(MAX V +MIN V ), where MAX V MIN represents the upper limit of the target value for the V element content in titanium alloy electrodes. V This indicates the lower limit of the target value for the V element content in titanium alloy electrodes.

[0012] Preferably, the influence coefficient R of the Fe element production process Fe The range of values ​​for R satisfies: Fe = (0.04~0.08)×|MAX Fe -MIN Fe |±(0.05~0.11)×(MAX Fe +MIN Fe ), where MAX Fe MIN represents the upper limit of the target value for Fe element content in titanium alloy electrodes. Fe This indicates the lower limit of the target value for the Fe element content in the titanium alloy electrode.

[0013] Preferably, the influence coefficient R of the O element production process O The range of values ​​for R satisfies: O = -(0.12~0.18)×|(|MAX) O |-|MIN O |)|±(0.3~0.5)×(|MAX O |+|MIN O |), where MAX O MIN represents the upper limit of the target value for the oxygen content in titanium alloy electrodes. O This indicates the lower limit of the target value for the O element content in the titanium alloy electrode.

[0014] Preferably, the rapid batching method for preparing titanium alloy electrodes by VAR melting includes:

[0015] S1. Based on VAR melting equipment, process conditions and raw material system, obtain multiple target values ​​of element content for each element in TC4 titanium alloy and the actual batching values ​​of element content corresponding to the target values ​​of element content, and construct a sampling dataset of target values ​​of element content and corresponding actual batching values ​​of element content;

[0016] S2. Based on the sampled dataset, determine the range of values ​​for k and b in the formula R = k × |MAX-MIN| ± b × (MAX+MIN) where the production process influence coefficient R and the target values ​​of each element are equal, and obtain the formula for the upper and lower limits of the production process influence coefficient R and the target values ​​of each element.

[0017] S3. Based on the upper and lower limit relationship between R and the target value of each element obtained in step S2, the range of values ​​for each element R in TC4 titanium alloy is given, and R is randomly selected within the range of values; the actual ingredient values ​​of each element are adjusted based on the R of each element.

[0018] S4. Determine the raw material ratio of the titanium alloy electrode based on the actual ingredient values ​​of each element content.

[0019] Preferably, step S1 involves determining the actual batch value of a certain element in the TC4 titanium alloy from the sampled dataset:

[0020] S101: For the first preparation of TC4 titanium alloy, an arbitrary value within the target ingredient range of this element is taken as the actual ingredient value, and the actual content of this element is obtained by testing the prepared TC4 titanium alloy.

[0021] S102: If the actual content of an element is greater than the actual content of the element, reduce the actual amount of that element in the second preparation of TC4 titanium alloy; otherwise, increase the actual amount of that element.

[0022] S103: Perform the (N-1)th adjustment of the actual ingredient value, and prepare TC4 titanium alloy for the Nth time. Detect the actual content of the element in the prepared TC4 titanium alloy. If the actual content of the element in the TC4 titanium alloy prepared in the Nth time is within the target ingredient value range, then the actual ingredient value of the element adjusted in the (N-1)th time is the actual ingredient value of the element in the sampled dataset.

[0023] Preferably, step S2 includes:

[0024] S201: Obtain the production process impact coefficient R of each element based on the sampled dataset;

[0025] S202: Construct the quantity distribution curve of R from the sampled dataset, set the confidence interval, filter the data within the confidence interval, substitute them into R = k × |MAX - MIN| ± b × (MAX + MIN) to fit and determine the range of values ​​for k and b.

[0026] Preferably, step S4 includes:

[0027] S401: Obtain the actual ingredient values ​​for each element based on the production process influence coefficient of each element and the target value of each element content;

[0028] S402: The adjusted proportions of each raw material are obtained based on the actual ingredient values ​​and the element content in each raw material.

[0029] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0030] (1) This invention determines the production process influence coefficient of each element by the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode, and adjusts the raw material ratio for preparing the titanium alloy electrode based on the production process influence coefficient of each element, thereby reducing the deviation between the alloy element ratio and the target value, and realizing the accurate determination of the raw material feed ratio when preparing titanium alloy electrodes by VAR melting; the deviation between the measured value and the target value of Fe in TC4 titanium alloy is between 0.005% and 0.01%; the deviation between the measured value and the target value of V is between 0.01% and 0.03%, preferably between 0.01% and 0.02%; the deviation between the measured value and the target value of Al is between 0 and 0.02%, preferably between 0.01% and 0.02%; the deviation between the measured value and the target value of O is between 0.0012% and 0.007%, preferably between 0.002% and 0.004%;

[0031] (2) This invention uses sampling to determine the upper and lower limits of the target values ​​of each element content applicable to TC4 titanium alloy and the general relationship of the production process influence coefficient R of each element. It uses this relationship to determine the accurate range of R values. Within this range, the elemental composition of the titanium alloy electrode obtained by smelting can be within the target range. Compared with the prior art, which can only give the raw material feed ratio based on experience, this invention realizes a more convenient and faster determination of the raw material feed ratio, and reduces the deviation between the alloy element composition and the target value. Detailed Implementation

[0032] To make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, embodiments and comparative examples are used for illustration. The specific embodiments described below are only used to explain the present invention and are not intended to limit the present invention.

[0033] On one hand, this invention discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, comprising:

[0034] The production process influence coefficient of each element is determined based on the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode.

[0035] The raw material ratio for preparing titanium alloy electrodes is determined based on the influence coefficients of each element in the production process.

[0036] It should be noted that VAR smelting adopts a single feeding method. The loss of each element in the raw material is different during the smelting process. Therefore, the target value of each element content in the titanium alloy electrode needs to be reduced by the influence of the production process on each element before it can be used as the basis for actual batching.

[0037] During implementation, a production process influence coefficient R is introduced to represent the influence of the production process on a certain element. R satisfies: R = (actual ingredient content of a certain element - target ingredient content of a certain element) / target ingredient content of a certain element. The actual ingredient content of a certain element can be obtained through multiple experiments. Specifically, for each experiment, the actual ingredient content of a certain element obtained in each experiment will vary due to the limited variation of the elemental composition of TC4 titanium alloy within a reasonable range.

[0038] The applicant's research found that the influence coefficients R1, ..., R of each element in the production process are... n The production process influence coefficients of each element and the content of each element in the titanium alloy electrode are related due to the combined influence of process factors such as the selection of intermediate alloy, mixing time, material distribution method, electrode block density, melting scheme, melting parameters, and machining sampling method in the VAR melting process.

[0039] Specifically, statistically, the absolute values ​​of the production process influence coefficients for Al, V, Fe, and O elements (excluding Ti) in TC4 titanium alloy are related to the difference between the upper and lower limits of the target values ​​for each element content in the titanium alloy electrode. The larger the difference between the upper and lower limits, the greater the instability of the production process, and the larger the absolute value of the production process influence coefficient. The fluctuation range of the production process influence coefficient is related to the size of the upper and lower limits of the target values ​​for each element content in the titanium alloy electrode. The larger the upper and lower limits of the target values ​​for each element content in the titanium alloy electrode, the greater the impact on the main properties of the alloy, and the larger the fluctuation range of the production process influence coefficient.

[0040] Specifically, Al and V, as the main elements, play a role in solid solution strengthening. Al is an α-phase stabilizing element, which improves the strength and hardness of the material while also enhancing its thermal stability. V is a β-phase stabilizing element, which primarily improves the plasticity of the material while maintaining its strength.

[0041] Fe mainly forms the second phase, playing a secondary strengthening role. However, if the Fe content is too high, it can lead to work hardening on the one hand, and on the other hand, it can easily form brittle phases at the grain boundaries, thus causing the material to become embrittled.

[0042] O has a relatively small radius and exists as interstitial atoms. If there is an excess of oxygen in a solid solution, it can lead to excessively high strength and hardness, making the material difficult to process. At the same time, excessive oxygen content can affect the thermal stability of the material.

[0043] Specifically, the production process influence coefficients R of Al, V, Fe, and O elements satisfy: R

[0044] =k×|MAX-MIN|±b×(MAX+MIN), where MAX represents the upper limit of the target value of each element content in the titanium alloy electrode, MIN represents the lower limit of the target value of each element content in the titanium alloy electrode, and k and b represent coefficients in the formula.

[0045] Specifically, the influence coefficient R of the Al element production process Al The range of values ​​for R satisfies: Al =-

[0046] (0.08~0.15)×|MAX Al -MIN Al |±(0.02~0.03)×(MAX Al +MIN Al ), where MAX Al MIN represents the upper limit of the target value for the Al element content in titanium alloy electrodes. Al This indicates the lower limit of the target value for the Al element content in the titanium alloy electrode.

[0047] Specifically, the influence coefficient R of the V element production process V The range of values ​​for R satisfies: V =-

[0048] (0.05~0.1)×|MAX V -MIN V |±(0.04~0.07)×(MAX V +MIN V ), where MAX V MIN represents the upper limit of the target value for the V element content in titanium alloy electrodes. V This indicates the lower limit of the target value for the V element content in titanium alloy electrodes.

[0049] Specifically, the influence coefficient R of the Fe element production process Fe The range of values ​​for R satisfies: Fe = (0.04~0.08)×|MAX Fe -MIN Fe |±(0.05~0.11)×(MAX Fe +MIN Fe ), where MAX FeMIN represents the upper limit of the target value for Fe element content in titanium alloy electrodes. Fe This indicates the lower limit of the target value for the Fe element content in the titanium alloy electrode.

[0050] Specifically, the influence coefficient R of the O element production process O The range of values ​​for R satisfies: O =-

[0051] (0.12~0.18)×|(|MAX O |-|MIN O |)|±(0.3~0.5)×(|MAX O |+

[0052] |MIN O |), where MAX O MIN represents the upper limit of the target value for the oxygen content in titanium alloy electrodes. O This indicates the lower limit of the target value for the O element content in the titanium alloy electrode.

[0053] Preferably, the influence coefficient R of the Al element production process Al The value range is -0.52% to 0.23%, and can be -0.52%, -0.50%, -0.48%, -0.46%, -0.42%, -0.40%, -0.38%, -0.36%, -0.34%, -0.32%, -0.30%, -0.28%, -0.5226%, -0.25%, -0.22%, -0.250%, -0.18%, -0.16%, -0.12%, -0.10%, -0.08%, -0.06%, -0.02%, 0.02%, 0.03%, 0.04%, 0.06%, 0.08%, 0.12%, etc.

[0054] 0.15%, 0.16%, 0.18%, 0.20%, 0.232%, or 0.23%.

[0055] Preferably, the influence coefficient R of the V element production process V :R VThe value range is -0.493% to 0.349%, and can be -0.493%, -0.489%, -0.484%, -0.482%, -0.480%, -0.478%, -0.476%, -0.472%, -0.468%, -0.464%, -0.462%, -0.458%, -0.4943%, -0.435%, -0.412%, -0.393%, etc. -0.363%, -0.342%, -0.321%, -0.301%, -0.288%, -0.266%, -0.214%, -0.193%, -0.143%, -0.132%, -0.113%, -0.088%, 0.093%, 0.168%, 0.198%, 0.244%, 0.253%, 0.288%, 0.313%, or 0.349%.

[0056] Preferably, the influence coefficient R of the Fe element production process Fe :R Fe The value range is -0.077% to 0.09%, and can be -0.077%, -0.070%, -0.066%, -0.063%, -0.060%, -0.058%, -0.052%, -0.048%, -0.042%, -0.036%, -0.032%, -0.028%, -

[0057] 0.023%, -0.020%, -0.017%, -0.015%, -0.012%, -0.008%, -0.002%, 0.04%, 0.06%, 0.08%, or 0.09%.

[0058] Preferably, the influence coefficient R of the O element production process O :R OThe value range is -0.111% to 0.049%, and can be -0.111%, -0.102%, -0.098%, -0.092%, -0.088%, -0.086%, -0.082%, -0.079%, -0.072%, -0.068%, -0.062%, -0.058%, -0.053%, -0.050%, -0.042%, -0.038%, -0.031%, -0.028%, -0.026%, - 0.022%, -0.020%, -0.018%, -0.016%, -0.014%, -0.012%, -0.010%, -0.008%, -0.004%, 0.002%, 0.008%, 0.012%, 0.014%, 0.018%, 0.021%, 0.026%, 0.028%, 0.032%, 0.036%, 0.039%, 0.042%, 0.045%, 0.046%, or 0.049%.

[0059] Compared with the prior art, the present invention determines the production process influence coefficient of each element by the upper and lower limits of the target values ​​of each element content in the titanium alloy electrode, and adjusts the raw material ratio for preparing the titanium alloy electrode based on the production process influence coefficient of each element, thereby reducing the deviation of the alloy element ratio and target value, and realizing the accurate determination of the raw material feed ratio when preparing titanium alloy electrodes by VAR melting.

[0060] Specifically, the raw material ratio for preparing titanium alloy electrodes is adjusted based on the influence coefficients of each element in the production process, including:

[0061] The actual ingredient values ​​for each element are obtained based on the production process influence coefficients of each element and the target values ​​for each element's content.

[0062] The adjusted proportions of each ingredient are obtained based on the actual ingredient values ​​and the element content in each raw material.

[0063] Specifically, based on the influence coefficients of each element in the production process and the target values ​​of each element's content, the actual ingredient values ​​for each element's content are obtained to satisfy the following:

[0064] Actual ingredient content of a certain element = R + target content of the certain element.

[0065] Specifically, the adjusted proportions of each raw material are obtained based on the actual ingredient values ​​of each element and the element content in each raw material. This includes: constructing a high-order calculation matrix of the element content in each raw material and the amount of each raw material added, using the actual ingredient values ​​of each element in the titanium alloy electrode as constraints, to obtain a unique value for the amount of each raw material added.

[0066] As an example, as shown in Table 1 below: a ij X represents the content of the i-th element in the j-th alloy raw material;j This indicates the amount of the j-th alloy material added;

[0067] For the i-th element, the addition amount of all alloy raw materials needs to be adjusted to ensure that the content of the i-th element in the titanium alloy electrode equals the actual content value of the i-th element in the batch.

[0068] That is: the actual ingredient content of the i-th element = a i1 ×X1+a i2 ×X2+…+a ij ×X j ;

[0069] Construct the actual ingredient values ​​of all elements and a ij X j The relationship is used to obtain a high-order matrix, and the matrix is ​​solved to obtain the amount of each alloy raw material to be added.

[0070] Table 1 Higher-order computational matrices

[0071]

[0072] Specifically, the rapid batching method for preparing titanium alloy electrodes by VAR melting includes:

[0073] S1. Based on VAR melting equipment, process conditions and raw material system, obtain multiple target values ​​of element content for each element in TC4 titanium alloy and the actual batching values ​​of element content corresponding to the target values ​​of element content, and construct a sampling dataset of target values ​​of element content and corresponding actual batching values ​​of element content;

[0074] S2. Based on the sampled dataset, determine the range of values ​​for k and b in the formula R = k × |MAX-MIN| ± b × (MAX+MIN) where the production process influence coefficient R and the target values ​​of each element are equal, and obtain the formula for the upper and lower limits of the production process influence coefficient R and the target values ​​of each element.

[0075] S3. Based on the upper and lower limit relationship between R and the target value of each element obtained in step S2, the range of values ​​for each element R in TC4 titanium alloy is given, and R is randomly selected within the range of values; the actual ingredient values ​​of each element are adjusted based on the R of each element.

[0076] S4. Determine the raw material ratio of the titanium alloy electrode based on the actual ingredient values ​​of each element content.

[0077] In implementation, based on the known absolute value of the production process influence coefficient and the influence of the upper and lower limits of the target values ​​of each element content on the fluctuation range, the existing target values ​​of element content and the corresponding actual ingredient values ​​mentioned in S1 are used as sampling data to determine the range of values ​​for k and b in the general relationship R = k × |MAX - MIN| ± b × (MAX + MIN) applicable to TC4 titanium alloy. Based on the above relationship, the range of values ​​for R of TC4 titanium alloy can be determined. Based on R values ​​within the above range, the ingredient values ​​of each element are obtained, and then the raw material ratio of titanium alloy electrode is obtained. This ensures that the elemental composition of the titanium alloy electrode obtained after VAR melting is within the target range under this ratio, realizing a more convenient and faster determination of the raw material feed ratio and reducing the deviation between the alloy element composition and the target value.

[0078] Compared with existing technologies, this invention uses sampling methods to determine the upper and lower limits of the target values ​​of each element content applicable to TC4 titanium alloy and the general relationship of the production process influence coefficient R of each element. It then uses this relationship to determine the accurate range of R values. Values ​​within this range can ensure that the elemental composition of the titanium alloy electrode obtained by smelting is within the target range. Compared with existing technologies that can only determine the raw material feed ratio based on experience, this invention achieves a more convenient and faster determination of the raw material feed ratio, reducing the deviation between the alloy element composition and the target value.

[0079] Specifically, step S1 involves determining the actual ingredient values ​​for a specific element in the TC4 titanium alloy from the sampled dataset:

[0080] S101: For the first preparation of TC4 titanium alloy, an arbitrary value within the target ingredient range of this element is taken as the actual ingredient value, and the actual content of this element is obtained by testing the prepared TC4 titanium alloy.

[0081] S102: If the actual content of an element is greater than the actual content of the element, reduce the actual amount of that element in the second preparation of TC4 titanium alloy; otherwise, increase the actual amount of that element.

[0082] S103: Perform the (N-1)th adjustment of the actual ingredient value, and prepare TC4 titanium alloy for the Nth time. Detect the actual content of the element in the prepared TC4 titanium alloy. If the actual content of the element in the TC4 titanium alloy prepared in the Nth time is within the target ingredient value range, then the actual ingredient value of the element adjusted in the (N-1)th time is the actual ingredient value of the element in the sampled dataset.

[0083] By following the above method, we can obtain the data corresponding to the actual ingredient values ​​and target ingredient value ranges of the remaining elements, and thus obtain the sampled dataset in S1.

[0084] It should be noted that, for each experiment, the actual ingredient content of a certain element obtained in each experiment will vary due to the limited variation in the elemental composition of TC4 titanium alloy within a reasonable range. Therefore, the range of actual ingredient content and target ingredient content in the sampled data should be as rich as possible.

[0085] Specifically, in step S1, there are no fewer than 50 sets of actual ingredient values ​​and target ingredient value ranges for each element in the sampled dataset.

[0086] Specifically, step S2 includes:

[0087] S201: Obtain the production process impact coefficient R of each element based on the sampled dataset;

[0088] S202: Construct the quantity distribution curve of R from the sampled dataset, set the confidence interval, filter the data within the confidence interval, substitute them into R = k × |MAX - MIN| ± b × (MAX + MIN) to fit and determine the range of values ​​for k and b.

[0089] It should be noted that the same element R in the sampled dataset fluctuates due to various factors.

[0090] Specifically, in step S202, the confidence interval can be selected as 80%.

[0091] Specifically, R satisfies: R = actual ingredient content of a certain element - target ingredient content of a certain element.

[0092] As an example, in step S3, the actual ingredient values ​​for each element R are adjusted based on the element content, as shown in Table 2 below: W n Let b be the target value of the nth element. n This is the ingredient value for the nth element;

[0093] The influence coefficient R of the production process of the nth element n Satisfy: R n =b n -W n .

[0094] Table 2 Ingredient Value Calculation Matrix

[0095]

[0096] To better illustrate the present invention, the following embodiments and comparative examples are further provided:

[0097] Example 1

[0098] This embodiment discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, including:

[0099] S1. Based on VAR melting equipment, process conditions and raw material system, obtain multiple target values ​​of element content for each element in TC4 titanium alloy and the actual batching values ​​of element content corresponding to the target values ​​of element content, and construct a sampling dataset of target values ​​of element content and corresponding actual batching values ​​of element content;

[0100] S101: For the first preparation of TC4 titanium alloy, an arbitrary value within the target ingredient range of this element is taken as the actual ingredient value, and the actual content of this element is obtained by testing the prepared TC4 titanium alloy.

[0101] S102: If the actual content of an element is greater than the actual content of the element, reduce the actual amount of that element in the second preparation of TC4 titanium alloy; otherwise, increase the actual amount of that element.

[0102] S103: Perform the (N-1)th adjustment of the actual ingredient value, and prepare TC4 titanium alloy for the Nth time. Detect the actual content of the element in the prepared TC4 titanium alloy. If the actual content of the element in the TC4 titanium alloy prepared in the Nth time is within the target ingredient value range, then the actual ingredient value of the element adjusted in the (N-1)th time is the actual ingredient value of the element in the sampled dataset.

[0103] In step S1, 50 datasets are sampled.

[0104] S2. Based on the sampled dataset, determine the upper and lower limit relationship between the production process influence coefficient R and the target value of each element's content in the formula R = k × |MAX - MIN| ± b × (MAX + MIN), where k and b take values ​​of range, and obtain the upper and lower limit relationship between the production process influence coefficient R and the target value of each element's content; the mass ratio of each component of TC4 titanium alloy is: Al 5.5% ~ 6.75%; V 3.5% ~ 4.5%; Fe 0.02% ~ 0.30%; O 0.01% ~ 0.20%, with the upper limit of each element's content as the MAX corresponding to each element, and the lower limit of each element's content as the MIN corresponding to each element.

[0105] S201: Obtain the production process impact coefficient R of each element based on the sampled dataset;

[0106] S202: Construct a quantitative distribution curve for R using the sampled dataset, set the confidence interval to 80%, filter the data within the confidence interval, and substitute them into R = k × |MAX - MIN| ± b × (MAX + MIN) to fit and determine the range of values ​​for k and b. The results are as follows:

[0107] The influence coefficient R of Al element production process Al :R Al The value range is -0.52% to 0.23%;

[0108] The influence coefficient of the V element production process is R. V :RV The value range is -0.493% to 0.349%;

[0109] The influence coefficient R of Fe element production process Fe :R Fe The value range is -0.077% to 0.09%;

[0110] The influence coefficient R of the O element production process O :R O The value ranges from -0.111% to 0.049%.

[0111] S3. Based on the upper and lower limit relationship between R and the target value of each element obtained in step S2, the range of values ​​for each element R in TC4 titanium alloy is given, and R is randomly selected within the range of values; the actual batching value of each element content is adjusted based on R of each element, and the specific results are shown in the table below.

[0112] Table 3 Determination of the Influence Coefficient of Production Process in Example 1

[0113]

[0114] S4. Determine the raw material ratio of the titanium alloy electrode based on the actual ingredient content of each element, including:

[0115] S401: Obtain the actual ingredient values ​​for each element based on the production process influence coefficient of each element and the target value of each element content;

[0116] S402: The adjusted proportions of each raw material are obtained based on the actual ingredient values ​​and the element content in each raw material.

[0117] Table 4 Calculation of Raw Material Addition Amount in Example 1

[0118]

[0119] The results were automatically calculated and the input amounts of each raw material were generated as shown in the table below:

[0120] Table 5 Calculation of Raw Material Addition Amount in Example 1

[0121]

[0122] Test results:

[0123] The titanium alloy electrode prepared by the above method was subjected to three VAR melting processes to prepare a TC4 titanium alloy ingot. Samples were taken from the surface of the ingot, and the elemental content of the samples was determined according to the existing titanium alloy elemental analysis methods. The test results are the actual measured values ​​of the ingot, as follows:

[0124] Table 6. Test results of titanium alloy prepared in Example 1

[0125]

[0126] As can be seen from the above, in the TC4 titanium alloy prepared according to the method described in Preferred Embodiment 1 of the present invention, the deviation between the measured value and the target value of Fe is between 0.005% and 0.01%; the deviation between the measured value and the target value of V is between 0.02% and 0.03%; the deviation between the measured value and the target value of Al is between 0.01% and 0.02%; and the deviation between the measured value and the target value of O is between 0.002% and 0.007%.

[0127] Example 2

[0128] This embodiment discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, including:

[0129] S1. Based on VAR melting equipment, process conditions and raw material system, obtain multiple target values ​​of element content for each element in TC4 titanium alloy and the actual batching values ​​of element content corresponding to the target values ​​of element content, and construct a sampling dataset of target values ​​of element content and corresponding actual batching values ​​of element content;

[0130] S101: For the first preparation of TC4 titanium alloy, an arbitrary value within the target ingredient range of this element is taken as the actual ingredient value, and the actual content of this element is obtained by testing the prepared TC4 titanium alloy.

[0131] S102: If the actual content of an element is greater than the actual content of the element, reduce the actual amount of that element in the second preparation of TC4 titanium alloy; otherwise, increase the actual amount of that element.

[0132] S103: Perform the (N-1)th adjustment of the actual ingredient value, and prepare TC4 titanium alloy for the Nth time. Detect the actual content of the element in the prepared TC4 titanium alloy. If the actual content of the element in the TC4 titanium alloy prepared in the Nth time is within the target ingredient value range, then the actual ingredient value of the element adjusted in the (N-1)th time is the actual ingredient value of the element in the sampled dataset.

[0133] In step S1, 60 datasets are sampled.

[0134] S2. Based on the sampled dataset, determine the upper and lower limit relationship between the production process influence coefficient R and the target value of each element's content in the formula R = k × |MAX - MIN| ± b × (MAX + MIN), where k and b take values ​​of range, and obtain the upper and lower limit relationship between the production process influence coefficient R and the target value of each element's content; the mass ratio of each component of TC4 titanium alloy is: Al 5.5% ~ 6.75%; V 3.5% ~ 4.5%; Fe 0.02% ~ 0.30%; O 0.01% ~ 0.20%, with the upper limit of each element's content as the MAX corresponding to each element, and the lower limit of each element's content as the MIN corresponding to each element.

[0135] S201: Obtain the production process impact coefficient R of each element based on the sampled dataset;

[0136] S202: Construct a quantitative distribution curve for R using the sampled dataset, set the confidence interval to 80%, filter the data within the confidence interval, and substitute them into R = k × |MAX - MIN| ± b × (MAX + MIN) to fit and determine the range of values ​​for k and b. The results are as follows:

[0137] The influence coefficient R of Al element production process Al :R Al The value range is -0.48% to 0.232%;

[0138] The influence coefficient of the V element production process is R. V :R V The value range is -0.479% to 0.338%;

[0139] The influence coefficient R of Fe element production process Fe :R Fe The value range is -0.073% to 0.10%;

[0140] The influence coefficient R of the O element production process O :R O The value range is -0.108% to 0.046%.

[0141] S3. Based on the upper and lower limit relationship between R and the target value of each element obtained in step S2, the range of values ​​for each element R in TC4 titanium alloy is given, and R is randomly selected within the range of values; the actual batching value of each element content is adjusted based on R of each element, and the specific results are shown in the table below.

[0142] Table 7 Determination of the Influence Coefficient of the Production Process in Example 2

[0143]

[0144] S4. Determine the raw material ratio of the titanium alloy electrode based on the actual ingredient content of each element, including:

[0145] S401: Obtain the actual ingredient values ​​for each element based on the production process influence coefficient of each element and the target value of each element content;

[0146] S402: The adjusted proportions of each raw material are obtained based on the actual ingredient values ​​and the element content in each raw material.

[0147] Table 8 Calculation of Raw Material Addition Amount in Example 2

[0148]

[0149]

[0150] The results were automatically calculated and the input amounts of each raw material were generated as shown in the table below:

[0151] Table 9 Calculation of Raw Material Addition Amount in Example 2

[0152]

[0153] Test results:

[0154] The titanium alloy electrode prepared by the above method was subjected to three VAR melting processes to prepare a TC4 titanium alloy ingot. Samples were taken from the surface of the ingot, and the elemental content of the samples was determined according to the existing titanium alloy elemental analysis methods. The test results are the actual measured values ​​of the ingot, as follows:

[0155] Table 10. Test results of titanium alloys prepared in Example 2

[0156]

[0157] As can be seen from the above, in the TC4 titanium alloy prepared according to the method described in the preferred embodiment 1 of the present invention, the deviation between the measured value and the target value of Fe is between 0.005% and 0.01%; the deviation between the measured value and the target value of V is between 0.01% and 0.02%; the deviation between the measured value and the target value of Al is between 0% and 0.02%; and the deviation between the measured value and the target value of O is between 0.0012% and 0.004%.

[0158] Comparative Example 1

[0159] This comparative example discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, which differs from Example 1 in that: R Al The content exceeds the defined range of -0.52% to 0.23%. The content of each element was obtained by VAR melting and sampling analysis, similar to that in Example 1, and the results are as follows:

[0160] Table 11 Test results of titanium alloy prepared in Comparative Example 1

[0161]

[0162] Compared with Example 1, the deviation between the measured value and the target value of Al is between 0.05% and 0.12%, which is much greater than that of Example 1.

[0163] Comparative Example 2

[0164] This comparative example discloses a rapid batching method for preparing titanium alloy electrodes by VAR melting, which differs from Example 1 in that: R Al The content exceeds the defined range of -0.52% to 0.23%. The content of each element was obtained by VAR melting and sampling analysis, similar to that in Example 1, and the results are as follows:

[0165] Table 12 Detection results of titanium alloy prepared in Comparative Example 1

[0166]

[0167] Compared with Example 1, the deviation between the measured value of Al and the target value is between 0.01% and 0.009%, and the deviation between the measured value of V and the target value is between -0.29% and -0.16%, with the absolute values ​​of change being much greater than those in Example 1.

[0168] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A rapid batching method for preparing titanium alloy electrodes by VAR melting, characterized in that, include: S1. Based on VAR melting equipment, process conditions and raw material system, obtain multiple target values ​​of element content for each element in TC4 titanium alloy and the actual batching values ​​of element content corresponding to the target values, and construct a sampling dataset of element content target values ​​and corresponding actual batching values; S2. Based on the sampled dataset, determine the upper and lower limit relationship between the production process influence coefficient R and the target value of each element content in the formula R=k×|MAX-MIN|±b×(MAX+MIN), where k and b take values ​​of range, and obtain the upper and lower limit relationship between the production process influence coefficient R and the target value of each element content. Here, MAX represents the upper limit of the target value of each element content in the titanium alloy electrode, MIN represents the lower limit of the target value of each element content in the titanium alloy electrode, and k and b represent coefficients in the formula; R satisfies: R=actual ingredient content of a certain element - target value of a certain element content; S3. Based on the upper and lower limit relationship between R and the target value of each element obtained in step S2, the range of values ​​for each element R in TC4 titanium alloy is given, and R is randomly selected within the range of values; the actual ingredient values ​​of each element are adjusted based on the R of each element. S4. Determine the raw material ratio of the titanium alloy electrode based on the actual ingredient ratio of each element; Step S2 includes: S201: Obtain the production process impact coefficient R of each element based on the sampled dataset; S202: Construct the quantity distribution curve of R from the sampled dataset, set the confidence interval, filter the data within the confidence interval, substitute them into R = k×|MAX-MIN|±b×(MAX+MIN) to fit and determine the range of values ​​for k and b.

2. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 1, characterized in that, The influence coefficient R of Al element production process Al The range of values ​​for R satisfies: Al =-(0.08~0.15)×|MAX Al - MIN Al |±( 0.02~0.03)×( MAX ) Al +MIN Al ), where MAX Al MIN represents the upper limit of the target value for the Al element content in titanium alloy electrodes. Al This indicates the lower limit of the target value for the Al element content in the titanium alloy electrode.

3. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 1, characterized in that, The influence coefficient of V element production process R V The range of values ​​for R satisfies: V =-(0.05~0.1)×|MAX V - MIN V |±( 0.04~0.07)×( MAX ) V + MIN V ), where MAX V MIN represents the upper limit of the target value for the V element content in titanium alloy electrodes. V This indicates the lower limit of the target value for the V element content in titanium alloy electrodes.

4. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 1, characterized in that, The influence coefficient R of Fe element production process Fe The range of values ​​for R satisfies: Fe = (0.04~0.08) × |MAX Fe - MIN Fe |±( 0.05~0.11)×( MAX ) Fe + MIN Fe ), where MAX Fe MIN represents the upper limit of the target value for Fe element content in titanium alloy electrodes. Fe This indicates the lower limit of the target value for the Fe element content in the titanium alloy electrode.

5. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 1, characterized in that, The influence coefficient R of the O element production process O The range of values ​​for R satisfies: O =-(0.12~0.18)×|(|MAX O |- |MIN O |)|±(0.3~0.5)×(|MAX O |+ |MIN O |), where MAX O MIN represents the upper limit of the target value for the oxygen content in titanium alloy electrodes. O This indicates the lower limit of the target value for the O element content in the titanium alloy electrode.

6. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to any one of claims 1-5, characterized in that, The confidence interval for step S202 is 80%.

7. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 6, characterized in that, Step S1: Determining the actual batch value of a certain element in TC4 titanium alloy from the sampled dataset: S101: For the first preparation of TC4 titanium alloy, an arbitrary value within the target ingredient range of this element is taken as the actual ingredient value, and the actual content of this element is obtained by testing the prepared TC4 titanium alloy. S102: If the actual content of an element is greater than the actual content of the element, reduce the actual amount of that element in the second preparation of TC4 titanium alloy; otherwise, increase the actual amount of that element. S103: Perform the (N-1)th adjustment of the actual ingredient value, and prepare TC4 titanium alloy for the Nth time. Detect the actual content of the element in the prepared TC4 titanium alloy. If the actual content of the element in the TC4 titanium alloy prepared in the Nth time is within the target ingredient value range, then the actual ingredient value of the element adjusted in the (N-1)th time is the actual ingredient value of the element in the sampled dataset.

8. The rapid batching method for preparing titanium alloy electrodes by VAR melting according to claim 1, characterized in that, Step S4 includes: S401: Obtain the actual ingredient values ​​for each element based on the production process influence coefficient of each element and the target value of each element content; S402: The adjusted proportions of each raw material are obtained based on the actual ingredient values ​​and the element content in each raw material.

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