High-throughput optimization method for improving performance of additive manufacturing high-strength aluminum-based component through oxygen regulation and control

Abstract

The invention provides a high-throughput optimization method for improving the performance of an additive manufacturing high-strength aluminum-based component through oxygen regulation and control, belongs to the technical field of metal 3D printing, and aims at solving the problem that an oxide dispersion strengthened alloy is difficult to manufacture through a traditional casting method at present. According to the method, a high-strength aluminum sample with oxygen content gradient is constructed, the oxide dispersion strengthened alloy is formed, and the influence rule of the mechanical property of the oxide dispersion strengthened high-strength aluminum alloy formed under different oxygen partial pressures is obtained by analyzing the sample with the oxygen content gradient. According to the method, nano oxides which are uniformly distributed in a melt are generated in situ by utilizing the high cooling rate of a laser powder bed melting technology and the characteristic that the surface tension gradient-driven strong Malangori melt flows, and the high-strength aluminum alloy with the oxygen gradient is prepared by actively regulating and controlling the oxygen partial pressure and is subjected to high-throughput analysis. And the optimal oxygen partial pressure parameter for improving the mechanical property of the high-strength aluminum is quickly obtained.

Description

Technical Field

[0001] The present invention belongs to the field of laser additive manufacturing and relates to a high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation. Background Art

[0002] Additive manufacturing, also known as 3D printing, is an advanced manufacturing technology that creates three-dimensional entities by stacking materials layer by layer. Compared with traditional manufacturing methods, additive manufacturing can quickly and integratedly form parts with complex shapes and internal structures, which has played a huge role in promoting and disrupting the manufacturing industry, and has promoted breakthroughs and leapfrog developments in core manufacturing technologies in the fields of aviation, aerospace, energy, automobiles, biomedicine, etc. Among them, Laser Powder Bed Fusion (LPBF) technology uses a high-energy laser beam as a heat source to evenly spread metal powder on the forming platform through a powder spreading device to form a thin layer of powder; then, the laser beam scans and melts the powder layer according to a preset scanning path and strategy; the melted metal powder quickly solidifies to form a solid layer; then, new metal powder is spread again, and the above process is repeated until the entire part is printed.

[0003] During the LPBF process, high oxygen content in the processing environment can lead to various metallurgical defects in the component, such as inclusions, porosity, and microcracks, negatively impacting its microstructure and properties. However, the presence of moderate amounts of oxygen can form oxides in the melt pool, acting as a matrix for oxide dispersion strengthening (ODS). During conventional casting, non-wetting oxide particles cannot be incorporated and stabilized in the melt, often agglomerating and rising to the top of the molten alloy to form slag. The high cooling rate of laser powder bed fusion reduces the time oxide nanoparticles spend agglomerating in the melt and facilitates particle entrapment during solidification, preventing slag formation. Furthermore, the strong Marangoni melt flow driven by the surface tension gradient may help disperse oxide particles in the melt, thus making LPBF a promising method for fabricating ODS aluminum alloys. Conventional characterization methods often rely on single experimental or empirical data, failing to systematically explore the impact of oxygen content on the properties of high-strength aluminum alloys. Therefore, a more efficient, systematic, and high-throughput analytical approach is needed to comprehensively investigate oxygen regulation during additive manufacturing. This high-throughput analysis method can quickly evaluate the impact of different oxygen contents on the material structure and mechanical properties. Combined with advanced material characterization technology, through the characterization and analysis of experimental data, it can clarify the relationship between the cavity oxygen partial pressure and the structure and mechanical properties of high-strength aluminum components. Summary of the Invention

[0004] The purpose of the present invention is to provide a high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation. This method can generate nano-oxides in situ, improve the mechanical properties of high-strength aluminum-based components, and achieve high-efficiency testing of the organization and performance of additively manufactured components with different cavity oxygen partial pressure combinations, thereby obtaining the optimal oxygen partial pressure parameters for improving the mechanical properties of high-strength aluminum.

[0005] In order to achieve the above technical objectives, the present invention will adopt the following technical solutions:

[0006] A high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation comprises the following steps:

[0007] Step 1: Obtain 3D printing information of high-strength aluminum sample:

[0008] Design a high-strength aluminum specimen model and slice it into layers. Then, preset the 3D printing process parameters for each slice layer and plan the cavity oxygen partial pressure of each slice layer during the forming process to obtain the 3D printing information of the high-strength aluminum specimen.

[0009] The specific planning method for the cavity oxygen partial pressure of each slice layer during the forming process is as follows: each slice layer is divided into several forming areas along the stacking direction. Each slice layer included in each forming area adopts the same cavity oxygen partial pressure, and the cavity oxygen partial pressure of each forming area changes gradiently along the stacking direction.

[0010] Step 2: Printing the regional oxygen content gradient of the high-strength aluminum sample:

[0011] Based on the 3D printing information of the high-strength aluminum sample obtained in step 1, according to the preset 3D printing process parameters of each slice layer and the planned chamber oxygen partial pressure, the high-strength aluminum sample is printed on the substrate through the additive manufacturing equipment;

[0012] The high-strength aluminum sample prepared is a sample with a regional oxygen content gradient change along the height direction, and an oxide dispersion reinforcement phase is generated in situ during the forming process, so that the high-strength aluminum sample prepared is an ODS high-strength aluminum alloy sample;

[0013] Step 3: High-throughput analysis and characterization of ODS high-strength aluminum alloy samples:

[0014] The obtained ODS high-strength aluminum alloy samples were subjected to high-throughput analysis and characterization, and the optimal oxygen partial pressure parameters for improving the mechanical properties of the ODS high-strength aluminum alloy samples were obtained by comparing the organizational properties and micromechanical properties of the ODS high-strength aluminum alloy samples.

[0015] Preferably, in step 2, during the process of printing and forming the high-strength aluminum specimen, the air flow and air pressure in the forming cavity of the additive manufacturing equipment are monitored in real time, and the air flow and air pressure in the forming cavity are stabilized at preset target values ​​through the PID control algorithm, thereby realizing the oxygen content regulation of the cavity of the additive manufacturing equipment.

[0016] Preferably, in step 1, the high-strength aluminum powder used to print the high-strength aluminum sample is Al-Mn-Mg-Sc-Zr alloy powder, including: Mn content of 4.5-5.5wt.%, Mg content of 0.7-1.3wt.%, Sc content of 0.6-0.8wt.%, Zr content of 0.3-0.5wt.%, Si content of 0.2-0.4wt.%, and the balance is Al; the 3D printing process parameters of each slice layer include: laser power of 370W, scanning speed of 1100mm / s, layer thickness of 30μm, scanning spacing of 0.10mm, scanning strategy of no pattern, and rotation of 67° between adjacent layers;

[0017] When planning the cavity oxygen partial pressure of each slice layer during the forming process, each slice layer is divided into 5 forming areas from bottom to top along the stacking direction, corresponding to the first to fifth forming areas; the cavity oxygen partial pressure set for the first forming area is 10ppm, the cavity oxygen partial pressure set for the second forming area is 50ppm, the cavity oxygen partial pressure set for the first forming area is 100ppm, the cavity oxygen partial pressure set for the first forming area is 500ppm, and the cavity oxygen partial pressure set for the first forming area is 1000ppm;

[0018] In step 3, the optimal oxygen partial pressure parameter obtained is 100 ppm.

[0019] Preferably, the high-strength aluminum specimen model is layered and sliced ​​into 1500 layers, among which: the first forming area corresponds to 1 to 300 slice layers; the first forming area corresponds to 300 to 600 slice layers; the first forming area corresponds to 600 to 900 slice layers; the first forming area corresponds to 900 to 1200 slice layers; and the first forming area corresponds to 1200 to 1500 slice layers.

[0020] Preferably, the particle size of the Al-Mn-Mg-Sc-Zr alloy powder is 15-53 μm and is normally distributed.

[0021] Preferably, the ODS high-strength aluminum alloy sample generates an oxide dispersion reinforcement phase in situ by the following steps:

[0022] Under the action of laser, the oxide layer of Al-Mn-Mg-Sc-Zr alloy powder breaks to form nano-Al2O3 particles and melts into the melt;

[0023] The oxygen in the forming cavity reacts with Al, Mg and Si in the melt to form nano-oxides Al2O3, MgO and SiO2;

[0024] Under the action of surface tension, the Marangoni effect in the molten pool drives the in-situ generated nano-oxide particles to be evenly dispersed to obtain ODS high-strength aluminum alloy.

[0025] Preferably, in step 3, the obtained ODS high-strength aluminum alloy gradient sample is subjected to high-throughput analysis and characterization, and the specific steps include:

[0026] Cut and separate the printed ODS high-strength aluminum gradient sample from the substrate;

[0027] Computed tomography (CT) was used to characterize the ODS high-strength aluminum alloy gradient specimens, revealing the high-throughput distribution characteristics of internal defects along the build direction, as well as the specific distribution patterns of defects at each level, and further analyzing the intrinsic relationship between defect distribution and oxygen content.

[0028] The cross-sectional microstructure of the ODS high-strength aluminum specimens was analyzed using focused ion beam scanning electron microscopy (FIB-SEM) technology to obtain the influence of oxygen content on the microstructure.

[0029] Micro / nanomechanical testing technology was used to characterize the ODS high-strength aluminum sample and obtain the nanohardness of the ODS high-strength aluminum sample;

[0030] Processing ODS high-strength aluminum specimens into standard tensile specimens suitable for micromechanical properties testing;

[0031] The standard specimens were subjected to small-scale room temperature stretching to obtain the mechanical properties at various oxygen contents.

[0032] Preferably, a total of 500 hardness points are printed on the side of the ODS high-strength aluminum specimen along the construction direction, with a load of 20 mN and an interval of 50 μm between each hardness point.

[0033] Preferably, the small-size tensile rate of Al-Mn-Mg-Sc-Zr high-strength aluminum at room temperature is 0.3 mm / min;

[0034] By comparing the organizational properties and micromechanical properties of ODS high-strength aluminum specimens, the optimal oxygen partial pressure parameters for improving the mechanical properties of high-strength aluminum were obtained.

[0035] The beneficial effects of the present invention are as follows:

[0036] The present invention provides a high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation. By actively regulating the oxygen content in the additive manufacturing processing environment, diffusely distributed oxides are generated in situ to form an oxide dispersion-strengthened alloy, and high-strength aluminum specimens with an oxygen content gradient are simultaneously constructed. The method can more efficiently perform overall organizational and performance analysis on specimens under different parameters, and synchronously test specimens with an oxygen content gradient to obtain the relationship between oxygen regulation and the organizational and mechanical properties of high-strength aluminum components, thereby achieving the goal of rapidly optimizing the optimal oxygen content for improving mechanical properties. The method has the advantages of high efficiency, short cycle time and low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings and specific embodiments. The described embodiments are only part of the embodiments of the present invention, not all of the embodiments, and therefore should not be regarded as limiting the scope of this application. All technologies implemented based on the above content of the present invention are included in the scope of protection intended by the present invention.

[0038] Figure 1 The process flow chart of the method of the present invention is

[0039] Figure 2 Schematic diagram of the high-throughput sample prepared by laser additive manufacturing of the present invention and the printing system used.

[0040] Figure 3 Schematic diagram of the oxygen-regulated in-situ reaction to generate dispersed ODS phase proposed in the present invention

[0041] Figure 4 This is the tensile property curve of the high-throughput sample prepared by laser additive manufacturing of the present invention.

[0042] Figure 5 2 are SEM images of columnar crystals in the cross section of the molten pool of Examples 2 and 3 in the specific implementation manner.

[0043] Figure 6 1 and 2 are equiaxed crystal SEM images of the melt pool cross section of Examples 2 and 3 in the specific implementation manner. DETAILED DESCRIPTION

[0044] The accompanying drawings illustrate embodiments of the present invention, and it will be understood that the disclosed embodiments are merely examples of the present invention, which may be implemented in various forms. Therefore, the specific details disclosed herein should not be construed as limiting the scope of protection of the present invention. All technologies implemented based on the above-mentioned content of the present invention are included within the scope of protection intended by the present invention.

[0045] Combine Figure 1 The present invention provides a high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation, comprising the following steps:

[0046] Step 1: Obtain 3D printing information of high-strength aluminum sample:

[0047] A high-strength aluminum specimen model is designed and sliced ​​in layers. Then, the 3D printing process parameters of each slice layer are preset, and the cavity oxygen partial pressure of each slice layer during the forming process is planned to obtain the 3D printing information of the high-strength aluminum specimen.

[0048] High-strength aluminum specimen models can be created using conventional 3D modeling software. Slicing the high-strength aluminum specimens can be performed using conventional slicing software. The resulting 2D information needs to be imported into the additive manufacturing equipment.

[0049] The specific planning method of the cavity oxygen partial pressure of each slice layer during the forming process is: each slice layer is divided into several forming areas along the stacking direction, each slice layer included in each forming area adopts the same cavity oxygen partial pressure, and the cavity oxygen partial pressure of each forming area changes gradiently along the stacking direction, that is, the present invention sets the cavity oxygen partial pressure during the printing process to change regionally along the stacking direction.

[0050] Typically, the gradient change of the cavity oxygen partial pressure along the stacking direction is specifically an increasing change, that is, during forming, the high-strength aluminum specimen is printed and formed on the substrate from bottom to top according to the increasing cavity oxygen partial pressure.

[0051] Step 2: Printing the regional oxygen content gradient of the high-strength aluminum sample:

[0052] Based on the 3D printing information of the high-strength aluminum sample obtained in step 1, according to the preset 3D printing process parameters of each slice layer and the planned chamber oxygen partial pressure, the high-strength aluminum sample is printed on the substrate through the additive manufacturing equipment;

[0053] The high-strength aluminum sample obtained is a sample with a regional oxygen content gradient change along the height direction (the reason is that the oxygen partial pressure in the cavity during the printing process of the present invention varies regionally along the stacking direction), and an oxide dispersion reinforcement phase is generated in situ during the forming process, so that the high-strength aluminum sample obtained is an ODS high-strength aluminum alloy sample.

[0054] During the printing and forming process of high-strength aluminum specimens, this step monitors the air flow and pressure in the forming cavity of the additive manufacturing equipment in real time, and uses the PID control algorithm to stabilize the air flow and pressure in the forming cavity at the preset target values, thereby realizing the regulation of the oxygen content in the cavity of the additive manufacturing equipment.

[0055] Specifically, the basic formula of the PID control algorithm is:

[0056]

[0057] Where: u(t) is the control output, e(t) is the deviation between the set value and the actual value, K p , K i , K d are the proportional, integral and derivative gains respectively.

[0058] Specifically, the PID control algorithm is a feedback control algorithm in a control system. By adjusting the control input, the controlled variable (argon gas flow rate) can reach the set value in an optimal way. The PID algorithm achieves control through three main parts:

[0059] Proportional (P) control: Adjusts based on the current deviation (the difference between the setpoint and the actual value). The effect of proportional control is that the larger the current deviation, the greater the control output, thus producing a corresponding corrective effect.

[0060] Integral (I) control: Adjusts based on the sum of historical deviations. The integral term accumulates past deviations, eliminating steady-state errors and ultimately allowing the system to reach the setpoint.

[0061] Differential (D) control: Adjusts based on the rate of change of the deviation. Differential control can predict future trends and improve system stability by sensitively responding to deviation changes, reducing overshoot and oscillation.

[0062] During the forming process, oxide dispersion reinforcement phase (ODS) is generated in situ. When the laser acts on the aluminum alloy powder, the oxide layer of the aluminum alloy powder breaks to form nano-Al2O3 particles that melt into the melt; the oxygen in the cavity reacts with the metal elements (such as Al, Mg and Si) in the melt to form nano-oxides such as Al2O3, MgO and SiO2; under the action of surface tension, the Marangoni effect in the molten pool drives the in-situ generated nano-oxide particles to be evenly dispersed, and the ODS high-strength aluminum alloy is obtained.

[0063] Step 3: High-throughput analysis and characterization of ODS high-strength aluminum alloy samples:

[0064] The obtained ODS high-strength aluminum alloy samples were subjected to high-throughput analysis and characterization, and the optimal oxygen partial pressure parameters for improving the mechanical properties of the ODS high-strength aluminum alloy samples were obtained by comparing the organizational properties and micromechanical properties of the ODS high-strength aluminum alloy samples.

[0065] The technical solutions described in the present invention will be described in detail below with reference to several embodiments.

[0066] Example 1 (Comparative Example)

[0067] Example 1 is a typical selective laser melting process for forming an aluminum alloy specimen, and the specific steps are as follows:

[0068] (1) Use Materialise Magics software to build the model and slice it layer by layer, and then import the slice information into the additive manufacturing machine.

[0069] (2) Aluminum alloy specimens were formed using additive manufacturing equipment. The high-strength aluminum alloy composition was as follows: Mn content: 5.0 wt.%, Mg content: 1.0 wt.%, Sc content: 0.72 wt.%, Zr content: 0.3 wt.%, Si content: 0.23 wt.%, and the balance: Al. The powder particle size was 15-53 μm. The powder was dried in a vacuum drying oven at 120°C for 8 h before printing.

[0070] The additive manufacturing process parameters of step (2) are: laser power 370 W, laser scanning speed 1100 mm / s, spot diameter 70 μm, layer thickness 30 μm, scanning spacing 60 μm, and the cavity atmosphere during the printing process is controlled at 10 ppm.

[0071] (3) The formed specimen is separated from the substrate by wire cutting and subjected to aging treatment at 300°C for 6 hours in a heat treatment furnace. The heat treatment atmosphere is an argon atmosphere and the cooling method is furnace cooling. The specimens are characterized by using focused ion beam scanning electron microscopy (FIB-SEM) technology and micro / nanomechanical testing technology, and their room temperature mechanical properties are tested according to the standard "Room Temperature Tensile Test Method for Metallic Materials" (GB / T228.1-2021). After testing, the tensile strength of Example 1 is 510.6MPa and the elongation is 10.5%.

[0072] Example 2

[0073] The high-strength aluminum alloy test piece obtained by the high-throughput optimization method of the present invention for improving the performance of high-strength aluminum-based components manufactured by additive manufacturing through oxygen regulation is different from the conventional laser powder bed melting process embodiment 1 in that: during the printing process of step (2), the chamber atmosphere is gradually increased from 10 to 1000 ppm, and the test piece is printed at five oxygen partial pressure values ​​of 10 ppm, 50 ppm, 100 ppm, 500 ppm and 1000 ppm. The formed test piece is subjected to aging heat treatment according to step (3), and the test piece is processed into tensile specimens according to the areas printed at different oxygen contents. Stress-strain tensile testing is performed at room temperature. The test results are shown in Table 1.

[0074] Table 1 Mechanical properties of tensile specimens printed at different oxygen contents

[0075]

[0076] Figure 2 Schematic diagram of a high-throughput oxygen gradient sample prepared by laser additive manufacturing and the printing system used in the present invention. Figure 3This is a schematic diagram of the oxygen-regulated in-situ reaction to generate a dispersed ODS phase proposed in the present invention. Figure 4 This is the tensile performance curve of the high-throughput sample prepared by the method of the present invention. It can be seen that the increase in oxygen content in the cavity can react with metal elements (such as Al, Mg and Si) in the melt to form nano-oxides. These nano-oxides are dispersed in the melt and play a role in strengthening and toughening the high-strength aluminum alloy components. However, the increase in oxygen content may cause the nano-oxides to agglomerate, and these agglomerated oxides will lead to a decrease in mechanical properties, such as Figure 4 The stress-strain curve corresponding to 1000ppm is shown in FIG.

[0077] Example 3

[0078] The high-strength aluminum alloy specimens obtained by the high-throughput optimization method of the present invention for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation differ from the conventional laser powder bed fusion process Example 1 in that different layers of the high-strength aluminum specimens printed by this method are printed at different oxygen contents: 10 ppm oxygen content for layers 1 to 300, 50 ppm oxygen content for layers 300 to 600, 100 ppm oxygen content for layers 600 to 900, 500 ppm oxygen content for layers 900 to 1200, and 1000 ppm oxygen content for layers 1200 to 1500. Characterization and analysis of the oxygen gradient specimens obtained by the method of the present invention allows for more convenient and rapid data generation under different experimental parameters than the specimens printed under a single parameter in Example 1. Figure 5 and Figure 6 These are the SEM images of the columnar crystals and equiaxed crystals in the cross section of the molten pool of the high-strength aluminum sample under the oxygen partial pressure parameter of 100ppm, which has the best mechanical properties. It can be seen that under the optimal oxygen partial pressure parameters, there are diffusely distributed nano-oxide particles in the columnar crystals in the middle of the molten pool and the equiaxed crystals at the bottom of the molten pool, indicating that the main reason for improving the mechanical properties is these diffusely distributed nano-oxide particles generated in situ under different oxygen partial pressures.

[0079] The present invention provides a high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation. There are many methods and approaches to implement this technical solution. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation, characterized in that: The following steps are involved: Step 1: Obtain 3D printing information of high-strength aluminum sample: Design a high-strength aluminum specimen model and slice it into layers. Then, preset the 3D printing process parameters for each slice layer and plan the cavity oxygen partial pressure of each slice layer during the forming process to obtain the 3D printing information of the high-strength aluminum specimen. The specific planning method for the cavity oxygen partial pressure of each slice layer during the forming process is as follows: each slice layer is divided into several forming areas along the stacking direction. Each slice layer included in each forming area adopts the same cavity oxygen partial pressure, and the cavity oxygen partial pressure of each forming area changes gradiently along the stacking direction. Step 2: Printing the regional oxygen content gradient of the high-strength aluminum sample: Based on the 3D printing information of the high-strength aluminum sample obtained in step 1, according to the preset 3D printing process parameters of each slice layer and the planned chamber oxygen partial pressure, the high-strength aluminum sample is printed on the substrate through the additive manufacturing equipment; The high-strength aluminum sample prepared is a sample with a regional oxygen content gradient change along the height direction, and an oxide dispersion reinforcement phase is generated in situ during the forming process, so that the high-strength aluminum sample prepared is an ODS high-strength aluminum alloy sample; Step 3: High-throughput analysis and characterization of ODS high-strength aluminum alloy samples: The obtained ODS high-strength aluminum alloy samples were subjected to high-throughput analysis and characterization, and the optimal oxygen partial pressure parameters for improving the mechanical properties of the ODS high-strength aluminum alloy samples were obtained by comparing the organizational properties and micromechanical properties of the ODS high-strength aluminum alloy samples.

2. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 1, characterized in that: In the second step, during the printing process of high-strength aluminum specimens, the air flow and pressure in the forming cavity of the additive manufacturing equipment are monitored in real time. Through the PID control algorithm, the air flow and pressure in the forming cavity are stabilized at the preset target values, thereby realizing the oxygen content regulation of the cavity of the additive manufacturing equipment.

3. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 1, characterized in that: In step 1, the high-strength aluminum powder used to print the high-strength aluminum sample is Al-Mn-Mg-Sc-Zr alloy powder, including: Mn content of 4.5-5.5wt.%, Mg content of 0.7-1.3wt.%, Sc content of 0.6-0.8wt.%, Zr content of 0.3-0.5wt.%, Si content of 0.2-0.4wt.%, and the balance is Al; the 3D printing process parameters of each slice layer include: laser power of 370W, scanning speed of 1100mm / s, layer thickness of 30μm, scanning spacing of 0.10mm, scanning strategy of no pattern, and rotation of 67° between adjacent layers; When planning the cavity oxygen partial pressure of each slice layer during the forming process, each slice layer is divided into 5 forming areas from bottom to top along the stacking direction, corresponding to the first to fifth forming areas; the cavity oxygen partial pressure set for the first forming area is 10ppm, the cavity oxygen partial pressure set for the second forming area is 50ppm, the cavity oxygen partial pressure set for the first forming area is 100ppm, the cavity oxygen partial pressure set for the first forming area is 500ppm, and the cavity oxygen partial pressure set for the first forming area is 1000ppm; In step 3, the optimal oxygen partial pressure parameter obtained is 100 ppm.

4. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 3, characterized in that: The high-strength aluminum specimen model is sliced ​​into 1500 layers in total, among which: the first forming area corresponds to 1 to 300 slice layers; the first forming area corresponds to 300 to 600 slice layers; the first forming area corresponds to 600 to 900 slice layers; the first forming area corresponds to 900 to 1200 slice layers; and the first forming area corresponds to 1200 to 1500 slice layers.

5. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 3, characterized in that: The particle size of the Al-Mn-Mg-Sc-Zr alloy powder is between 15 and 53 μm and is normally distributed.

6. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 3, characterized in that: In step 1, the high-strength aluminum sample model is sliced ​​into 1500 layers.

7. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 3, characterized in that: The ODS high-strength aluminum alloy sample is specifically prepared by in-situ generation of oxide dispersion reinforcement phase through the following steps: Under the action of laser, the oxide layer of Al-Mn-Mg-Sc-Zr alloy powder breaks to form nano-Al2O3 particles and melts into the melt; The oxygen in the forming cavity reacts with Al, Mg and Si in the melt to form nano-oxides Al2O3, MgO and SiO2; Under the action of surface tension, the Marangoni effect in the molten pool drives the in-situ generated nano-oxide particles to be evenly dispersed to obtain ODS high-strength aluminum alloy.

8. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 1, characterized in that: In step 3, the obtained ODS high-strength aluminum alloy gradient sample is subjected to high-throughput analysis and characterization, and the specific steps include: Cut and separate the printed ODS high-strength aluminum gradient sample from the substrate; Computed tomography (CT) was used to characterize the ODS high-strength aluminum alloy gradient specimens, revealing the high-throughput distribution characteristics of internal defects along the build direction, as well as the specific distribution patterns of defects at each level, and further analyzing the intrinsic relationship between defect distribution and oxygen content. The cross-sectional microstructure of the ODS high-strength aluminum specimens was analyzed using focused ion beam scanning electron microscopy (FIB-SEM) technology to obtain the influence of oxygen content on the microstructure. Micro / nanomechanical testing technology was used to characterize the ODS high-strength aluminum sample and obtain the nanohardness of the ODS high-strength aluminum sample; Processing ODS high-strength aluminum specimens into standard tensile specimens suitable for micromechanical properties testing; Small-scale room-temperature stretching was performed on standard tensile specimens to obtain the mechanical properties at various oxygen contents.

9. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components by oxygen regulation according to claim 8, characterized in that: A total of 500 hardness points were printed on the side of the ODS high-strength aluminum specimen along the build direction, with a load of 20mN and an interval of 50μm between each hardness point.

10. The high-throughput optimization method for improving the performance of additively manufactured high-strength aluminum-based components through oxygen regulation according to claim 8, characterized in that: The room temperature tensile rate of small-size Al-Mn-Mg-Sc-Zr high-strength aluminum is 0.3 mm / min.

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