Method for predicting property of aluminum component

Abstract

To provide a method for predicting properties of aluminum components that enables accurate prediction of mechanical properties of aluminum components that have undergone arbitrary forging processes.SOLUTION: An aluminum component property prediction method of the present invention includes: a mechanical property measurement step for measuring mechanical properties of an unforged first aluminum component and multiple forged second aluminum components after T6 treatment; a Z factor calculation step for acquiring temperature and strain rate of the second aluminum components in forging processing by numerical analysis for each forging processing step and calculating a Z factor by using the acquired temperature and strain rate; a regression equation derivation step for deriving a regression equation showing a relationship between mechanical properties and the Z-factor by using multiple combinations of measured values of corresponding mechanical properties and calculated values of the Z-factor through strength; and a mechanical property prediction step for predicting the mechanical properties of a third aluminum component after T6 treatment following any forging step using the regression equation.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a method for predicting properties of an aluminum component. [Background technology]

[0002] In recent years, electric vehicles (EVs) and BEVs (electric vehicles) have inevitably increased the weight of the vehicle body due to the batteries they carry. However, from the perspective of improving fuel efficiency, it is essential to reduce the weight of the vehicle body, and aluminum is increasingly being used for forged parts such as suspensions that make up the vehicle body. For forged parts such as suspensions, aluminum alloys such as JIS 6000 series (Al-Mg-Si series) are often used to improve strength and corrosion resistance. In order to obtain the required mechanical properties (0.2% yield strength, tensile strength, elongation, etc.) from JIS 6000 series aluminum alloy forged parts, a forging process and subsequent heat treatment processes such as solution treatment and artificial aging are required.

[0003] In the manufacturing and development stages of automobiles and automobile parts, the reduction of GHG (greenhouse gas) emissions is already becoming a necessity, and the same trend is seen in the design stage. In a normal design stage, the forging process and heat treatment process are generally performed multiple times until the manufacturing process that obtains the desired mechanical properties is determined, which means that energy consumption in each process is also repeated. In order to reduce GHG emissions in the design stage, it is important to reduce the number of processes until the manufacturing process is determined. Therefore, a technology to predict the mechanical properties of aluminum parts manufactured through each process is essential. Patent documents 1 to 3 disclose technologies for determining the properties of aluminum alloys before the forging process or heat treatment process.

[0004] In Patent Document 1, it is said that sufficient hardness and strength can be obtained for hot forged products of JIS 6000 series aluminum alloys by specifying the length of low-angle grain boundaries together with the alloy composition, and the Z factor (Zener-Hollomon parameter) of 1 × 10 is set as a guideline for the forging process to include a certain or greater length of low-angle grain boundaries.11 It is expected that processing will be / s or higher.

[0005] Patent Document 2 also shows that, for the properties of a hot forged product of a JIS 6000 series aluminum alloy, when hot forging represented by a certain Z factor is performed, it is possible to predict the increase in hardness due to subsequent heat treatment. The Z factor used to predict the increase in hardness is calculated from an arbitrary time-average temperature and time-average strain rate.

[0006] Patent Document 3 discloses that in order to provide an aluminum alloy forged component having excellent mechanical properties and fully ensuring the strength and reliability of the entire component, the structure of the forged component can be controlled to subgrains or fine recrystallized grains by specifying the composition range of a JIS 6000 series aluminum alloy as well as the range of the Z factor in forging. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Patent Publication No. 2021-066900 [Patent Document 2] Patent Publication No. 2021-090998 [Patent Document 3] Patent Publication No. 2022-161591 Summary of the Invention [Problem to be solved by the invention]

[0008] In Patent Documents 1 to 3, the Z factor expressing the forging process is calculated from the material temperature and strain rate averaged at the start and end of processing, and the complex temperature and strain rate changes during forging cannot be fully expressed. In Patent Document 2, the time-averaged values ​​of the temperature and strain rate are used as well as the Z factor. In Patent Document 3, the range of the Z factor for controlling the structure of the forged member to subcrystal or fine recrystallization is specified, but the properties of the forged member itself are not predicted.

[0009] When a material and die are heated to a specified temperature and then forged, the temperature and strain rate of the material during forging constantly change at each location and are not uniform throughout the entire material. This is one of the reasons why it is difficult to predict the mechanical properties of forged parts. The Z factor calculated from the time-average temperature and time-average strain rate may not be able to express the actual forging process, making it difficult to accurately predict the mechanical properties of forged parts.

[0010] The present invention has been made in consideration of the above circumstances, and has an object to provide a method for predicting the properties of an aluminum component, which makes it possible to accurately predict the mechanical properties of an aluminum component that has been subjected to any forging process. [Means for solving the problem]

[0011] In order to solve the above problems, the present invention employs the following means.

[0012] (1) A method for predicting properties of an aluminum component according to one embodiment of the present invention includes a mechanical property measurement step of measuring the mechanical properties of an unforged first aluminum component and a plurality of second aluminum components forged to different strengths after T6 treatment, a Z-factor calculation step of determining the temperature and strain rate for each forging step for an arbitrary portion of the second aluminum component during forging by numerical analysis and calculating a Z-factor using the determined temperature and strain rate, a regression equation derivation step of deriving a regression equation showing the relationship between the mechanical properties and the Z-factor using a plurality of combinations of corresponding measured values ​​of the mechanical properties and calculated values ​​of the Z-factor via the strength, and a mechanical property prediction step of predicting the mechanical properties of a third aluminum component after T6 treatment after an arbitrary forging step using the regression equation.

[0013] (2) In the method for predicting properties of an aluminum component according to the above (1), in the Z-factor calculation step, the temperature and the strain rate are measured at a predetermined interval t stepThe temperature and strain rate are measured at different times i, and a Z factor Z i Calculate the Z factor Z i It is preferable that the Z factor is obtained by adding up the above in accordance with the following formula (1):

[0014]

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[0015] (3) In the method for predicting properties of aluminum components described in either (1) or (2) above, it is preferable to include an angle change rate calculation step of measuring mechanical properties in a main axis direction and mechanical properties in a direction tilted from the main axis direction for the second aluminum component, and calculating a rate of change of the mechanical properties with respect to an angle of tilt from the main axis direction using the results of the measurements; an angle detection step of detecting an angle made by a tensile direction of the third aluminum component in the mechanical property prediction step with respect to the main axis direction of the second aluminum component; and predicting the mechanical properties of the third aluminum component in the main axis direction taking into account the detected angle and the rate of change of the mechanical properties.

[0016] (4) In the Z-factor calculation step of the method for predicting properties of an aluminum component described in any one of (1) to (3) above, it is preferable to examine the relationship between the presence or absence of recrystallization in the second aluminum component after the T6 treatment and the Z-factor, and to exclude from the multiple second aluminum components those corresponding to the cases where the recrystallization has occurred. Effect of the Invention

[0017] According to the present invention, it is possible to provide a method for predicting the properties of an aluminum component, which makes it possible to accurately predict the mechanical properties of an aluminum component that has been subjected to any forging process. [Brief description of the drawings]

[0018] [Figure 1]FIG. 1 is a diagram showing a process flow of a method for predicting properties of an aluminum component according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a diagram showing a process flow for measuring mechanical properties. [Diagram 3] 1A and 1B are diagrams illustrating the states of an aluminum member before and after forging. [Figure 4] FIG. 1 is a diagram showing a process flow for calculating a Z factor. [Diagram 5] FIG. 13 is a diagram for explaining a method of calculating a cumulative Z factor. [Figure 6] 1 is a graph showing the relationship between mechanical properties and Z factor of an aluminum member. [Figure 7] 1A and 1B are diagrams showing the parts to be actually evaluated in the aluminum member after T6 treatment. [Figure 8] 1 is a graph showing the relationship between the 0.2% yield strength and the Z factor of an aluminum member. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0019] Hereinafter, a method for predicting the properties of an aluminum component according to an embodiment of the present invention will be described in detail with reference to the drawings. Note that the drawings used in the following description may show characteristic parts in an enlarged scale for the sake of convenience in order to make the characteristics easier to understand, and the dimensional ratios of each component may not necessarily be the same as in reality. In addition, the materials, dimensions, etc. exemplified in the following description are merely examples, and the present invention is not limited to them, and may be appropriately modified and implemented within the scope of the present invention.

[0020] 1 is a diagram showing a flow of main steps S included in a method for predicting properties of an aluminum component according to one embodiment of the present invention. The method for predicting properties of an aluminum component mainly includes a mechanical property measurement step S1, a Z-factor calculation step S2, a regression equation deriving step S3, and a mechanical property prediction step S4. In this embodiment, a component containing aluminum or an aluminum alloy (such as JIS6000 series (Al-Mg-Si series)) is called an aluminum component.

[0021] (Mechanical property measurement process) 2 is a diagram showing the flow of steps included in the mechanical property measuring step S1. The mechanical property measuring step S1 is further divided into smaller steps S11 and S12.

[0022] In step S11, the mechanical properties (0.2% yield strength, tensile strength, etc.) of a specified portion of a first aluminum component (aluminum forged material) that has not been subjected to forging such as upsetting are measured after T6 treatment (artificial aging treatment).

[0023] In step S12, the mechanical properties of predetermined portions of a plurality of second aluminum members (aluminum forged members) forged with different strengths (compression ratios) after T6 treatment are measured. In the following, an example is shown in which upsetting is performed as forging.

[0024] The T6 treatment is a process in which aluminum members (first aluminum member, second aluminum member) are solutionized, cooled (quenched), and then hardened by ageing. The conditions of the T6 treatment may be newly determined at the time of treatment, or may be determined after obtaining data on the relationship with the mechanical properties to be obtained, taking the data into consideration.

[0025] 3(a) and (b) are diagrams showing the state of the second aluminum member 100 before and after forging (upsetting) in step S12. As shown in FIG. 3(a), an unprocessed aluminum forged material 100A is placed on a die (lower die) 101, and a punch (upper die) 102 is placed on the opposite side (here, the upper side) of the die 101. The punch 102 is moved toward the die 101 (here, the lower side) to press the aluminum forged material 100A, thereby obtaining an aluminum forged member 100B compressed in the pressing direction L, as shown in FIG. 3(b). The compression ratio by upsetting is expressed as (h0-h1) / h0, where h0 is the length of the aluminum forged material 100A in the pressing direction L, and h1 is the length of the aluminum forged member 100B.

[0026] (Z factor calculation process) 4 is a diagram showing the flow of steps included in the Z-factor calculation step S2. The Z-factor calculation step S2 is further divided into smaller steps S21, S22, S23, S24, and S25.

[0027] In step S21, a model of the forging process (relationship between temperature and strain rate and compression ratio) is reproduced by numerical simulation. For example, DEFORM manufactured by SFTC can be used as analysis software for the numerical simulation. The friction coefficient μ and heat transfer coefficient h of the contact surface are set for the aluminum member, which is the workpiece, the punch (upper die), and the die (lower die). The aluminum member is treated as a rigid plastic body, and the punch and die are treated as rigid bodies. The material data for the aluminum member may be an aluminum database built into the software, or material data acquired independently for the aluminum member may be used. For the punch and die, material data for die steel (SKD61) built into the software may be used. Next, a mesh is created for the model of each aluminum member.

[0028] In step S22, the boundary conditions for the numerical simulation are set. The positions of each part are aligned, the speed of the die and aluminum part is set to 0, and processing speed information is input for the punch. A motion curve may be set according to the actual forging process.

[0029] In step S23, a thermal coupling analysis is performed to model the heat transfer inside the aluminum part, that is, a numerical analysis is performed of the plastic deformation of the aluminum part, the internal heat transfer (or conduction), and the heat transfer between the aluminum part and the die.

[0030] In step S24, after upset forging with a predetermined compression ratio (for example, 0.3 to 0.7), the temperature history and strain rate history of an evaluation portion corresponding to a portion where a tensile test was performed are extracted.

[0031] In step S25, the Z factor is calculated from the temperature history and strain rate history extracted in step S24. The following formula (1) is generally used to calculate the Z factor. Z, ε (epsilon dot), Q, and R in formula (1) are defined as follows: Z:Z factor(s -1 ) ε: strain rate Q: Self-diffusion activation energy of aluminum (144 kJ / mol) R: Gas constant (8.314 J / mol / K) T: Temperature (K)

[0032]

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[0033] In the above formula (1), the temperature T and the strain rate ε are constant. However, in a normal forging process, the temperature T and the strain rate ε do not strictly remain constant. Therefore, from the viewpoint of accurately calculating the Z factor Z, it is preferable to reflect the influence of the change in the temperature T and the strain rate ε during the forging process in the formula (1).

[0034] As a method for reflecting the time change of the temperature T and the strain rate ε during the forging process, for example, there is a calculation method in which the Z factor is calculated as a cumulative Z factor by adding up the Z factors that change with time. FIG. 5 is a graph for explaining this calculation method. The horizontal axis of the graph represents the time of the forging process divided into multiple calculation steps (unit time) t step The number of calculation steps S when divided by i The vertical axis of the graph shows the number of calculation steps S i The magnitude of the Z factor corresponding to

[0035] In this calculation method, the number of calculation steps S i Z factor for every Z i Calculate the Z factor Z of all steps as shown in the following formula (2). i , Calculate step t stepThe accumulated Z factor thus obtained reflects the effects of changes in temperature T and strain rate ε during forging, so the Z factor Z can be calculated accurately. If the Z factor Z can be expressed as a function of time Z(t), it may be calculated by integrating the function over the range of processing time.

[0036]

number

[0037] (Regression equation derivation process) In the regression equation derivation step S3, the relationship between the mechanical properties measured in the mechanical property measurement step S1 and the Z-factor calculated in the Z-factor calculation step S2 is obtained. That is, a plurality of combinations (A, B) of corresponding measured mechanical properties A and calculated Z-factor B through forging strength such as compression ratio are obtained and plotted in the AB plane. FIG. 6 is a graph showing an example of the plot. The horizontal axis of the graph indicates the Z-factor, and the vertical axis of the graph indicates the increment of the 0.2% proof strength F after T6 treatment of the second aluminum member (forged member) based on the 0.2% proof strength F0 after T6 treatment of the first aluminum member (forged material), that is, F-F0. The plots of (A, B) are distributed along a specific curve (for example, a parabola). Therefore, a regression equation showing the relationship between the mechanical properties and the Z-factor can be derived from the distribution of the plots of (A, B).

[0038] (Mechanical property prediction process) The regression equation derived in the regression equation derivation step has a specific shape for each material composition of the second aluminum component to be forged, and therefore, the regression equation can be used to predict the mechanical properties of the third aluminum component after the T6 treatment following any forging step.

[0039] <Determination of recrystallization range> When hot forging is performed to increase the Z factor, the crystal grains associated with the processed structure become finer and a large number of small-angle grain boundaries are introduced. The introduction of a large number of small-angle grain boundaries, for example in 6000 series alloys, promotes the precipitation of Mg2Si during the artificial aging process, resulting in high strength.

[0040] On the other hand, when a certain amount or more of low-angle boundaries are introduced, recrystallization occurs in the subsequent solution treatment, and the introduced low-angle boundaries disappear and the crystal grains become coarse, resulting in a decrease in mechanical properties or a large variation in the property values, which causes a deterioration in the accuracy of the mechanical properties. Therefore, in order to accurately predict the mechanical properties, it is preferable to examine the relationship between the occurrence of recrystallization in the second aluminum component after the T6 treatment and the Z factor.

[0041] The relationship between the occurrence of recrystallization and the Z factor can be confirmed by the same method as that for obtaining the relational equation between mechanical properties and the Z factor. Specifically, the magnitude of the Z factor at which recrystallization occurs can be determined from the results of structural observation after hot working under conditions of multiple different Z factors and a certain solution treatment. Based on these results, it is possible to determine at least the Z factor at which recrystallization occurs. By selecting and performing hot working with a Z factor smaller than this Z factor, it is possible to exclude from multiple second aluminum components those that correspond to cases where recrystallization occurs, and it is possible to predict the mechanical properties of second aluminum components in which the occurrence of recrystallization is suppressed.

[0042] <Understanding anisotropy relationships> In general, aluminum forged members have anisotropy due to metal flow during forging. When conducting a tensile test, the mechanical properties of the aluminum forged member change depending on the direction of the metal flow in which the tensile test piece is taken and the tensile test is conducted. This anisotropy affects the prediction accuracy of the mechanical properties, so it is preferable to consider the effect of anisotropy based on the results of a numerical simulation.

[0043] For example, data on the direction of the maximum principal strain and the change in mechanical properties when the angle with respect to that direction is changed can be obtained by a numerical simulation, and based on the data, correction of the mechanical properties predicted through the mechanical property prediction process can be considered. Specifically, an angle change rate calculation process and an angle detection process can be further added to the above-mentioned process.

[0044] In the angle change rate calculation process, the mechanical properties of the second aluminum component in the main axis direction and in a direction tilted from the main axis direction are measured, and the measurement results are used to calculate the rate of change of the mechanical properties with respect to the angle of tilt from the main axis direction.

[0045] In the angle detection step, an angle formed by the tensile direction of the second aluminum component in the mechanical property prediction step with respect to the principal axis direction of the second aluminum component is detected. Taking into consideration the detected angle and the rate of change of the mechanical properties calculated in the angle change rate calculation process, the mechanical properties of the third aluminum component in the main axis direction are predicted, and the predicted value is corrected as necessary.

[0046] As described above, the aluminum member characteristic prediction method of this embodiment utilizes the material-specific relationship between the mechanical properties of the forged second aluminum member and the Z factor obtained by numerical simulation. According to the aluminum member characteristic prediction method of this embodiment, based on this relationship, the mechanical properties after T6 treatment can be predicted for any part of the forged second aluminum member without performing T6 treatment. Therefore, it is not necessary to repeat prototyping to investigate the conditions under which a predetermined mechanical property is obtained, and the energy consumption associated with prototyping can be reduced. For example, by applying this embodiment to an aluminum alloy hot forged member used in an automobile suspension arm to predict its mechanical properties in advance, it is possible to reduce the number of prototyping and die creation, and reduce GHG emissions at the development stage. EXAMPLES

[0047] The effects of the present invention will be more clearly understood by the following examples. Note that the present invention is not limited to the following examples, and can be modified as appropriate without departing from the spirit and scope of the present invention.

[0048] The properties of the aluminum components were predicted according to the above embodiment. Three types of JIS 6000 series aluminum alloy components with the compositions shown in Table 1 were used as samples (test pieces) of the aluminum components before forging. The (average) crystal grain size of the three types of components was 56 μm, 70 μm, and 96 μm, respectively. The only difference between the three types of components was the crystal grain size.

[0049] [Table 1]

[0050] The following tests were conducted to obtain the relationship between mechanical properties and Z-factor. Upsetting forging was performed by heating the 6000 series aluminum alloy cast bar (diameter φ57 × height h075mm) of the above composition to an initial temperature of 480°C. The temperature of the die and punch was set to 180°C. Upsetting was performed under the conditions of upsetting ratios (h0-h1) / h0, expressed using the initial height h0 and the height after upsetting forging h1, of 0.3, 0.4, 0.5, 0.6, and 0.7. Using a knuckle press with a pressurizing capacity of 630t driven at 25 SPM with a stroke distance of 180mm, the position of the bottom dead center was adjusted to perform processing on the 6000 series aluminum alloy cast bar at each upsetting ratio.

[0051] The samples after upset forging (aluminum forged components) and samples with an upset rate of 0 (as-continuously cast material) (aluminum forged material) were subjected to the specified T6 treatment. Here, the holding temperature for the solution treatment was 530°C, the holding time was 3 hours, and the holding temperature for the subsequent artificial aging treatment was 180°C, the holding time was 6 hours.

[0052] The 0.2% yield strength of the aluminum forged material samples and the aluminum forged part samples upset at each upsetting rate was measured. The increase in 0.2% yield strength of each aluminum forged part sample compared to the aluminum forged material sample was calculated.

[0053] Fig. 7(a) is a plan view of the aluminum forged member after T6 treatment, viewed from the spreading direction perpendicular to the upsetting direction. Fig. 7(b) is a plan view of the same forged member viewed from the upsetting direction. The aluminum forged member sample was taken from a position midway between the center and the outermost circumference, that is, a position at a thickness h1 / 2 from the center C with respect to the thickness h1, and a position at a radius r1 / 2 with respect to the maximum radius r1 from the center C. The aluminum forged material sample was taken from a region extending in the height direction L at a position of a radius r0 / 2 with respect to the maximum radius r0 from the center in the state shown in Fig. 3(a).

[0054] A model mesh of the material and die for the above upset forging process was created as a numerical simulation for calculating the Z factor. A ring compression test was separately conducted to determine the friction coefficient from the deformation state of the ring, and the friction coefficient was set as the boundary condition in the numerical simulation. The deformation resistance value obtained from the high-temperature compression test was used as the material property value, and was added to the material database of the numerical simulation software.

[0055] Figure 8 is a graph showing the relationship between the 0.2% yield strength of samples of aluminum forged members and the Z-factor. The horizontal axis of the graph shows the Z-factor, and the vertical axis of the graph shows the increment of the 0.2% yield strength F of the aluminum forged member after T6 treatment, i.e., F-F0, based on the 0.2% yield strength F0 of the aluminum forged material after T6 treatment. Multiple combinations (A, B) of the measured value A of the 0.2% yield strength and the calculated value B of the Z-factor corresponding to the upsetting rate are plotted.

[0056] The plots are distributed so that they line up along a common curve. The same tendency is observed for samples of any grain size. These results show that there is a material-specific relationship between mechanical properties and Z-factor that can be expressed by a single regression equation. If this regression equation is understood in advance, it is possible to predict the mechanical properties of any part of any forged aluminum component based on the regression equation without performing T6 treatment.

[0057] For multiple samples upset with different Z factors, the relationship between the magnitude of the Z factor, the presence or absence of recrystallization, and the prediction accuracy of the 0.2% proof stress was investigated. The results are shown in Table 2.

[0058] [Table 2]

[0059] Z factor is 3.0×10 11 In the above cases, recrystallization occurs in the internal structure of the aluminum forged component, and the error in the predicted value of the 0.2% proof stress becomes large. In contrast, when the Z factor is 3.0×10 11 When the Z factor is smaller than this, no recrystallization occurs, and the error in the predicted value of 0.2% proof stress is kept to 10% or less. These results show that the presence or absence of recrystallization depends on a specific Z factor size. It is also clear that when recrystallization occurs in the internal structure of an aluminum forged component, the accuracy of the prediction of the mechanical properties drops significantly. Therefore, by investigating the relationship between the Z factor and recrystallization in advance, and then limiting the Z factor during forging to a range in which recrystallization does not occur, it is believed that it will be possible to predict the mechanical properties of aluminum components with high accuracy. [Explanation of symbols]

[0060] 100...Second aluminum member 100A···Forged material 100B Forged parts 101···Dice 102...Punch

Claims

1. a mechanical property measuring step of measuring mechanical properties of a first aluminum member that is not forged and a plurality of second aluminum members that are forged with different strengths after T6 treatment; A Z-factor calculation step of calculating a temperature and a strain rate for each forging step for an arbitrary portion of the second aluminum component during forging by numerical analysis, and calculating a Z-factor using the obtained temperature and strain rate; a regression equation deriving step of deriving a regression equation showing a relationship between the mechanical property and the Z-factor by using a plurality of combinations of the measured values ​​of the mechanical property and the calculated values ​​of the Z-factor corresponding to each other through the strength; A method for predicting properties of an aluminum component, comprising: a mechanical property prediction step of predicting mechanical properties after T6 treatment of a third aluminum component after an arbitrary forging step using the regression equation.

2. In the Z factor calculation step, The temperature and strain rate measurements are repeated for a predetermined interval t ｓｔｅｐ The temperature and strain rate are measured at different times i, and the Z factor Z ｉ Calculate the Z factor Z ｉ The method for predicting characteristics of an aluminum component according to claim 1, characterized in that the Z factor is calculated by adding up the above values ​​according to the following formula (1): [0010]

3. an angle change rate calculation step of measuring mechanical properties in a main axis direction and mechanical properties in a direction inclined from the main axis direction for the second aluminum component, and calculating a change rate of the mechanical properties with respect to an angle of inclination from the main axis direction using the results of the measurements; an angle detection step of detecting an angle between the main axis of the second aluminum component and a tensile direction of the third aluminum component in the mechanical property prediction step; A method for predicting the properties of an aluminum component as described in either one of claims 1 or 2, characterized in that the mechanical properties of the third aluminum component in the main axis direction are predicted taking into account the detected angle and the rate of change of the mechanical properties.

4. In the Z factor calculation step, The method for predicting the characteristics of an aluminum component according to any one of claims 1 and 2, characterized in that the relationship between the presence or absence of recrystallization in the second aluminum component after the T6 treatment and the Z factor is examined, and those corresponding to the cases where the recrystallization has occurred are excluded from the plurality of second aluminum components.

5. In the Z factor calculation step, The method for predicting the characteristics of an aluminum component according to claim 3, characterized in that the relationship between the presence or absence of recrystallization in the second aluminum component after the T6 treatment and the Z factor is examined, and those corresponding to the cases where the recrystallization has occurred are excluded from the plurality of second aluminum components.

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