871 results about "Selective laser melting" patented technology

The invention provides a preparation method of an isotropic Ti2AlNb / TiAl-based interpenetrating composite material, and belongs to the technical field of intermetallic compound-based composite materials. The method comprises the following steps: firstly, designing a Ti2AlNb reinforcement framework of various TPMS configurations by utilizing implicit function modeling; then, carrying out anisotropy research on the TPMS configuration by utilizing finite element simulation; secondly, a Ti2AlNb reinforcement framework of a TPMS configuration is prepared through a selective laser melting (SLM) technology; and finally, the TPMS configuration Ti2AlNb / TiAl-based interpenetrating composite material is prepared through vacuum hot pressing sintering of HPS. Therefore, strong anisotropy of a traditional fiber reinforced composite material in mechanical property is avoided, good matching of strength, plasticity and toughness of the composite material is achieved, and a new thought and a new solution are provided for breaking through the application bottleneck of TiAl in spaceflight power system hot end components.

A device for heat control in laser welding of dissimilar additively-manufactured parts includes a welding main body, a moving frame, a lifting frame, a laser welding head, a temperature control mechanism, a pressing mechanism, and a supporting and cleaning mechanism. The moving frame is mounted on the welding main body. The lifting frame is provided on the moving frame. The temperature control mechanism includes a welding platform designed to hold a laser metal deposition (LMD) printed part and a selective laser melting (SLM) printed part. The laser welding head is provided on the underside of the lifting frame for to weld the LMD part to the SLM part.

The invention discloses a method for preparing a copper-chromium-niobium alloy high-thermal-conductivity part based on green laser SLM, and relates to the technical field of copper-chromium-niobium alloys. Comprising the following steps that copper-chromium-niobium alloy powder is pretreated; the pretreated copper-chromium-niobium alloy powder is laid on a base plate, green laser is adopted for selective laser melting printing, at least two layers of printing parameters with different energy densities are set in a layered energy gradient control mode, layered printing is carried out, a pore structure with the porosity in continuous gradient distribution is formed, and a pre-machined part is obtained; wherein the wavelength of the green laser is 500 nm to 550 nm, and the spot diameter of the green laser is 15 [mu] m to 30 [mu] m; and the pre-machined part is subjected to heat treatment, and the high-heat-conduction part is obtained. The copper-chromium-niobium alloy part is prepared through the green laser SLM technology, the layered energy density gradient control technology is adopted, and the problems that in copper-based alloy additive manufacturing, the reflectivity is high, the structure is limited, and the performance is insufficient are systematically solved.

The invention provides an automobile brake caliper manufacturing method based on a selective laser melting additive manufacturing technology, which comprises the following steps: carrying out structural region division on a three-dimensional digital model, and formulating an SLM process parameter strategy of a structural region, the SLM process parameter strategy comprising adjustment of laser power, scanning speed, scanning spacing and powder layer thickness; according to a three-dimensional digital model of the brake calipers and an SLM process parameter strategy, additive powder is laid in a powder bed of SLM equipment, the surface of the powder bed is scanned layer by layer through high-power-density laser beams, powder particles are selectively melted, laser energy density input is controlled, thermophysical characteristics of powder materials are matched, microstructure evolution is controlled, and the brake calipers are manufactured. And after one layer is melted and solidified, the powder bed descends by the height of one layer thickness, a new powder layer is spread out, the process is circulated till additive manufacturing of the brake calipers is completed, and the effects of being light in weight, high in structural strength and good in heat dissipation effect are achieved.

The invention discloses a polylactic acid injection molding mold based on a gradient heat conduction composite structure and a heat management method thereof, and belongs to the technical field of high polymer material molding processing equipment.The polylactic acid injection molding mold comprises a) a surface high heat conduction layer which is made of a copper-based composite material, has the heat conduction coefficient larger than or equal to 400 W / m.K and is used for rapidly and directionally transferring heat to the surface of a mold cavity; and b) an intermediate transition layer composed of a titanium alloy porous structure. High-efficiency production is realized through innovative design and advanced technology. Integrated metallurgical bonding of the gradient heat conduction structure is achieved through the selective laser melting technology, and the heat flow directivity is enhanced; the dual-mode cooling system is combined with closed-loop temperature control, and the temperature is accurately regulated and controlled; the high-performance material improves the comprehensive performance of the mold; and the structural stability is guaranteed through accurate technological parameters. According to the thermal management method, through multi-physical field simulation optimization, rapid heating and cooling are achieved, the forming period is shortened to 16-18 seconds, the calculation efficiency is improved by 80%, and the production efficiency and the product quality are effectively improved.

The invention belongs to the technical field of titanium alloy materials and additive manufacturing, and relates to a high-performance titanium-based composite material based on additive manufacturing and a preparation method of the high-performance titanium-based composite material. The preparation method comprises the following steps that titanium alloy powder subjected to vacuum drying treatment and titanium-coated reinforced phase nanoparticles are added into a ball mill to be subjected to ball milling treatment in the inert gas atmosphere, and evenly-mixed composite powder is obtained; and after the composite powder in the first step is subjected to vacuum drying, the composite powder is evenly laid on a forming base plate through additive manufacturing equipment, the composite powder is molten layer by layer through a heat source, and the high-performance titanium-based composite material is obtained after solidification. According to the titanium-based composite material and the preparation method thereof, TiB generated by the in-situ reaction of the B element in the titanium-coated reinforced phase nanoparticles and the Ti element in selective laser melting forming is adopted, the TiB is uniformly dispersed and distributed in a titanium alloy matrix, the prepared titanium-based composite material has good density, the strength, hardness and other properties of the material are obviously improved, and the comprehensive mechanical property is excellent.

The invention relates to an additive manufacturing method and application of an aluminum-based silicon carbide composite material complex component, and the additive manufacturing method of the aluminum-based silicon carbide composite material complex component comprises the following steps: step 1, uniformly mixing silicon carbide powder and aluminum alloy powder, and drying; 2, establishing a structural model for the target part, and importing the structural model into selective laser melting forming equipment; thirdly, selective laser melting forming is conducted; fourthly, linear cutting and surface treatment are conducted; and fifthly, hot isostatic pressing treatment is conducted. The invention further provides application of the aluminum-based silicon carbide composite material complex component to precise structural components such as aviation structural components, guided missile and satellite components and optical instruments. According to the method, the problem of subsequent large-allowance removal of the aluminum-based silicon carbide composite material component is solved, the wettability between the aluminum alloy and the silicon carbide particles is improved, the mechanical property meets the application requirement, and the aluminum-based silicon carbide structural component with stable performance is obtained.

An online monitoring device for internal defects in metal selective laser melting is proposed, the online monitoring device includes a metal selective laser melting system, a signal acquisition system, and a signal processing system, the metal selective laser melting system realizes a three-dimensional (3D) printing of metal members and prints metal members with different types or levels of defects; the signal acquisition system is connected with the metal selective laser melting system, and is configured to acquire an acoustic emission signal in the 3D printing process of the metal members; the signal processing system is connected with the signal acquisition system, and is configured to extract characteristic parameters, establish a machine learning model, and discriminate and classify unknown signals in a printing process through using the machine learning model, so as to realize online monitoring of internal defects in the metal selective laser melting system.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention discloses a preparation method of a bionic nickel-titanium-magnesium heterostructure as a medical implant, and relates to the technical field of medical implants.The preparation method comprises the following steps that firstly, a bionic nickel-titanium monomer structure model is established based on 3D modeling software, the designed bionic nickel-titanium monomer structure model is arrayed twice in the x-axis direction, the y-axis direction and the z-axis direction, and the bionic nickel-titanium monomer structure model is obtained; secondly, the bionic nickel-titanium structure model designed in the first step is converted into an stl format file, the stl format file is imported into magics software, and nickel-titanium alloy powder is printed into a bionic nickel-titanium structure based on the selective laser melting technology; 3, the bionic nickel-titanium structure is subjected to polishing treatment with a chemical polishing solution and then subjected to ultrasonic treatment under alcohol soaking, powder adhering to the surface is removed, the bionic nickel-titanium structure is combined with molten magnesium through a non-pressure permeation method, and a bionic nickel-titanium-magnesium heterostructure is prepared; and step 4, implanting the bionic nickel titanium-magnesium heterostructure into the bone defect.

The invention discloses a composite regulation and control method for improving the performance of a laser additive manufacturing high-strength aluminum alloy, and relates to the technical field of laser additive manufacturing high-strength aluminum alloy materials, micron-sized ceramic particles and micron-sized AlMgScZr alloy powder are mixed, and ceramic particle reinforced aluminum-based composite powder is prepared. According to the composite material powder, the solidification structure is regulated and controlled through the characteristics of ceramic particles, stress concentration is reduced, and meanwhile the reinforcing phase particle aggregation phenomenon is avoided. The obtained composite material is excellent in quality and few in metallurgical defects in laser forming, and the density reaches up to 99.8% or above. By combining the optimized selective laser melting and heat treatment process, the room-temperature mechanical property of the prepared composite material part is remarkably improved, the tensile strength exceeds 540 MPa, the yield strength exceeds 490 MPa, and the elongation at break exceeds 10%.

The invention discloses a technological method for forming an aluminum alloy shell through selective laser melting. The technological method comprises the steps that S1, model treatment is conducted; s2, supporting design; s3, carrying out analog simulation; s4, selective laser melting forming; s5, post-processing is carried out; s6, quality detection; according to the method, process simulation analysis is carried out on the additive manufacturing process risk, thermal-structure coupling field simulation calculation is carried out on a component, and deformation, temperature and stress distribution of all stages such as printing, substrate cutting and support removal are analyzed; time and economic cost can be saved, and the method can also be used for exploring process parameters and formulating an optimal process scheme; by means of the reversible deformation compensation technology, the printing problem is effectively reduced, the printing precision is improved, and when the part size precision requirement is high, the technology can assist printing and accurate forming; the method disclosed by the invention can be popularized and applied to other parts formed by selective laser melting, and has wide social benefits and economic benefits.

The invention relates to a variable layer thickness printing method based on SLM (selective laser melting) forming part characteristics, which comprises the following specific steps of: dividing a part into an external surface / thin wall of a quality priority part and an internal filling / entity of an efficiency priority part according to the part characteristics and use performance; respectively slicing the quality priority part and the efficiency priority part obtained by the S I by using slicing software according to the required layer thickness, and setting a proper scanning sequence and an optimized scanning strategy for the sliced model; large-layer-thickness process parameters are given to the efficiency priority part, small-layer-thickness process parameters are given to the quality priority part, and a workpiece or a sample with the good surface metallurgy quality is obtained through SLM printing. A set of complete scheme for improving the printing efficiency through a large and small layer thickness method is formed, the surface metallographic phase of the finished product has no other defects except pores, and the effect is good.

The invention discloses a false tooth support node iterative compensation method based on finite element simulation, and belongs to the field of selective laser melting metal printing. Comprising the following steps: presenting support stress distribution based on commercial finite element simulation software and exporting a deformation result; comparing and outputting a deviation value based on three-dimensional measurement software; carrying out loop iteration on the basis of a node iterative compensation algorithm to obtain a minimum deformation amount; performing slice printing based on an inverse compensation model result; the node iteration algorithm is designed for the problem of false tooth deformation in the prior art, the minimum deviation value can be iterated in a loop mode and reversely loaded to the initial model, and therefore the effect of reducing deformation is achieved.

Disclosed in the present invention are a quality monitoring method and system for a selective laser melting process, and a defect locating method and system for same. The quality monitoring method in the present invention comprises: collecting melt pool images in a selective laser melting process in real time; then performing melt pool contour extraction on the melt pool images that belong to the same printing layer, and calculating melt pool areas and center points of melt-pool-contour minimum bounding rectangles; creating a blank image having the same size as the melt pool images, and marking, at a corresponding position in the blank image, the center point of each melt-pool-contour minimum bounding rectangle; gridding the blank image, and filling grid cells, in which marks are located, with values of the melt pool areas of corresponding melt pools, so as to generate a grid matrix; dividing the grid matrix into blocks, and converting each block into a grayscale sub-image; and inputting the grayscale sub-images into a trained neural network model, so as to obtain a quality classification result.

The invention discloses a cranio-maxillofacial dissimilar metal bone implant with an antibacterial property and a preparation method thereof, and relates to the technical field of medical implant prostheses, the preparation method comprises the following steps: step 1, preparing a nano-silver-antibacterial peptide GL13K composite peptide solution with the antibacterial property; 2, based on the selective laser melting technology, titanium alloy powder is prepared into a porous framework; 3, melting zinc powder, and filling pores of the porous skeleton with the molten zinc powder to obtain a semi-finished heterogeneous metal bone implant; step 4, depositing the nano-silver-antibacterial peptide GL13K composite peptide solution prepared in the step 1 on the surface of the semi-finished heterogeneous metal bone implant prepared in the step 3 through a pulse electrodeposition method to obtain a finished heterogeneous metal bone implant; the prepared finished heterogeneous metal bone implant has a remarkable antibacterial effect, the postoperative infection risk can be reduced, and the nano-silver-antibacterial peptide GL13K composite peptide can further promote osteoblast attachment and proliferation and accelerate the bone healing process.

The invention provides a high-strength aluminum alloy selective laser melting forming thermal stress prediction method based on deep learning. The method comprises the steps of 1, finite element model establishment and simulation, wherein a heat transfer model and a thermal coupling model are established; an SLM process is used as a simulation object, a Gaussian model is adopted to define a laser heat source, and thermal stress distribution under different process parameters and different sample sizes is simulated; wherein the process parameters comprise laser power, scanning speed and hatch spacing; step 2, data processing and deep learning model training; comprising the steps of data preprocessing, neural network model architecture determination, adversarial network part generation and model configuration and training. 3, evaluating and optimizing the model; and 4, thermal stress prediction and process optimization. By learning a complex mode in finite element simulation data through a deep learning model, efficient and accurate thermal stress prediction is achieved, and the problems that traditional finite element analysis is complex in calculation and large in resource consumption are solved.

An additive manufacturing method based on micro-selective laser melting technology. By using a spot size of 30 μm or less, a metal powder layer thickness of 10 μm or less and ultrafine metal powders having a D90 particle size of 30 μm or less, and in combination with the control of a scanning laser power, a scanning rate, a linear energy density and a volumetric energy density within specific ranges, the method can print complex-structured metal parts having extremely high resolutions and surface smoothness, and can obtain a high-density internal structure of a component even under a relatively low energy density or power condition, thereby effectively protecting an optical system. Moreover, a printed component exhibits a defect-free microstructure, and has excellent electrical properties, thermal properties and mechanical properties. Particularly, ultrafine grains and a high dislocation density provide superior mechanical properties compared to conventional manufacturing materials. An infrared laser device can be used, thereby achieving low costs.

The invention discloses a method for predicting phase change temperature of a selective laser melted NiTi alloy based on machine learning, which relates to the technical field of metal material performance prediction, and comprises the following steps: step S1: collecting an initial feature data set of an SLM-NiTi alloy from experiments and literature related to the SLM-NiTi alloy, step S2: performing data preprocessing on the initial feature data set; performing feature screening on a standard feature data set to form a key feature data set; step S3: randomly dividing the key feature data set into a training set and a test set, using a variety of machine learning algorithms, using the screened key features as input features of the model, and using the phase change temperature feature set of the SLM-NiTi alloy as a target feature, constructing multiple SLM-NiTi alloy phase change prediction models, and training them on the training set; step S4: predicting the test set after the training is completed, and obtaining the optimal SLM-NiTi alloy phase change prediction model.

The invention belongs to the technical field of metal additive manufacturing post-processing, and relates to a method for achieving crack closing of a tungsten component prepared through SLM based on SPS. The method mainly comprises the following steps that S1, a tungsten component is prepared, specifically, a pure tungsten component is prepared through a selective laser melting (SLM) technology; s2, the SLM forming component is subjected to surface cleaning and support removing treatment, and after it is ensured that no powder residues exist, accurate positioning and placing treatment is conducted; and S3, SPS treatment process: putting the graphite mold treated in the step S2 into SPS equipment for sintering treatment. Through the combined action of high temperature and mechanical pressure, inevitable microcracks in the SLM pure tungsten component are effectively closed, and the compactness and integrity of the component are remarkably improved.

A 3D printing method, comprising the following steps: preparing a raw-material powder, and loading a substrate into a selective laser melting device; performing slicing and layering processing on a three-dimensional model, and importing data into a 3D printer; selecting a multi-laser real-time heat treatment scanning policy, and selecting appropriate printing parameters; spreading the raw-material powder evenly on the substrate, a first laser system starting to scan and melt the raw-material powder, and at the same time, a subsequent laser system starting scanning following the first laser system, so as to form a melted layer, until the scanning of the layer is finished; controlling the substrate to descend to a set height, spreading the raw-material powder on the melted layer again, and rescanning the spread raw material powder; and repeating the previous step until printing is completed. By means of the method, the residual stress can be reduced more efficiently, the requirement for the preheating temperature of a substrate is low, and the problems of the surface roughness being high, the printing accuracy being low, etc. are avoided; and it is not necessary to adjust the chemical composition of a printing material in order to reduce its cracking susceptibility. The present invention further relates to a printed product and a printing apparatus.

The invention discloses a method for preparing a FeMnSi alloy with a remarkable low-temperature shape memory effect through 3D printing, and the method comprises the following steps: 1, carrying out room-temperature rotary mixing on powder containing FeMnCrNiSi element components to obtain mixed powder; and secondly, the mixed powder serves as a raw material, and a metal powder bed selective laser melting 3D printing technology is adopted for preparing the block FeMnSi series alloy. By developing FeMnSi system alloy components with the characteristics of high Cr content, high Ni content and middle Si content, the stacking fault energy is effectively reduced, the defects of stacking fault, dislocation and the like in the FeMnSi system alloy are greatly improved, martensite phase transformation in the deformation process is promoted, and therefore good 3D printing process adaptability is achieved, the cracking risk is reduced, and the service life of the product is prolonged. And the material has obvious shape memory effect and tensile strength at low temperature, and is suitable for reusable impact-resistant, load-bearing and functional devices in polar space environment.

The invention discloses a method and a system for optimizing printing parameters of a selective laser melting process. The method comprises the following steps: establishing a geometric model of a target formed part; setting material attributes and boundary conditions, and establishing a three-dimensional finite element model according to the three-dimensional model, the material attributes and the boundary conditions; setting printing parameters; performing thermal analysis on the three-dimensional finite element model according to the printing parameters to obtain a thermal analysis result; performing stress deformation analysis on the three-dimensional finite element model according to a thermal analysis result to obtain a stress deformation distribution result; judging whether the stress deformation distribution result meets a preset condition or not according to the stress deformation distribution result and the preset condition; if yes, the printing parameters corresponding to the stress deformation distribution result meeting the preset condition serve as target printing parameters of the target formed part; and if not, the printing parameters are adjusted until the stress deformation distribution result meets the preset condition. The forming precision of the finally printed target forming part is improved, the operation process is simple, and the cost is low.

The invention relates to a preparation method of a V-containing high-performance aluminum alloy material for additive manufacturing, which is characterized by comprising the following steps of: (1) preparation of a composite material: adding a metal vanadium element into aluminum alloy powder containing copper and magnesium elements or aluminum alloy or pure aluminum powder added with the copper and magnesium elements to prepare original alloy powder; the main component of the original alloy powder is AlCuMgV; the content of the vanadium element is 1.8 to 3.5 weight percent; and (2) selective laser melting forming.

The invention relates to a preparation method of a corrosion-resistant radial gradient porous bionic bone scaffold, and belongs to the technical field of medical machinery. According to the method, firstly, the offset C is redesigned according to the relation between a Gyandroid unit cell mathematical formula S (x, y, z) and the offset C, so that the mathematical formula is improved, and the mathematical formula is suitable for the radial gradient porous scaffold. An improved mathematical formula is adopted, a radial gradient porous cuboid model is generated by utilizing a Python script, and a cylindrical radial gradient porous model is obtained through Boolean intersection operation. Then, the model is subjected to smoothing and repairing treatment, and an initial radial gradient porous scaffold is prepared through a selective laser melting (SLM) forming technology; finally, through sand blasting treatment, the finished radial gradient porous bionic bone scaffold is obtained. The uniform porous scaffold has higher corrosion resistance, longer service life and larger specific surface area, is more beneficial to transmission, survival and attachment of bone cells, and has better performance compared with a traditional uniform porous scaffold.

An oxyide dispersion-strengthened (ODS) alloy is disclosed that is compatible with melt-based additive manufacturing processes, such as laser powder bed fusion (L-PBF) while achieving material properties, such as resistance to frictional ignition, comparable to or better than wrought ODS alloys. This is accomplished, in part, by adjusting the composition of the ODS alloy and / or adjusting the operating parameters of the additive manufacturing process to reduce or, in some instances, mitigate dispersoid coarsening and slag formation. For example, a nickel (Ni)-based ODS alloy may include less than 0.3 wt % aluminum (Al) to reduce the formation of low melting point oxides that are prone to coarsening and slag formation. In another example, various processing parameters associated with a selective laser melting process, such as beam power, beam spot size, and scan speed, may be chosen to reduce a melt time associated with the additive manufacturing process.

The invention discloses a method for preparing a 700 DEG C-resistant high-performance titanium-based composite material by using a selective laser melting technology, relates to the field of alloys, and aims to solve the problems that a traditional method for preparing and processing a high-temperature-resistant titanium-based composite material is tedious and complicated, and a complicated component is difficult to form. According to the method, titanium alloy TC11 powder is used as a substrate for preparing the high-temperature titanium-based composite material through selective laser melting, and ceramic powder is used as a raw material for component modification; performing low-energy ball-milling mixing and drying; a three-dimensional model is designed and constructed, printing parameters and a printing strategy are set, a printing substrate is preheated, and the dried composite powder is used for printing; and annealing heat treatment. According to the light titanium-based composite material, the heat-resistant temperature reaches 700 DEG C, and the use requirements are better met.

The invention discloses a multi-material localized printing device and method based on a selective laser melting technology. The device comprises a laser printing head, a printer shell, a groove type lifting printing table, a powder storage mechanism, a powder feeding execution mechanism, a powder scraping mechanism and a regional powder covering mechanism. The groove type lifting printing table is arranged on the printer shell; the laser printing head is located above the groove type lifting printing table. The powder storage mechanism is located on the side of the groove type lifting printing table. The powder feeding executing mechanism is located below the powder storage mechanism. The powder scraping mechanism is located behind the groove type lifting printing table. The regional powder covering mechanism is located in front of the groove type lifting printing table. Various materials can be selected during one-time forming machining, material conversion in the forming machining process is simpler and faster, multi-material combination can be achieved in different areas of the same-layer structure in the horizontal direction, and multi-material combination can be achieved in different areas or the same area of the different-layer structure in the vertical direction; and the forming requirements of multi-material integrated parts are effectively met.

The invention discloses a die steel additive material for forming a die-casting die core and a manufacturing method of the die steel additive material, and belongs to the technical field of laser advanced manufacturing, and the manufacturing method comprises the following steps: Al powder, Ti powder and boron carbide are mixed, coated and pre-pressed to obtain a pressing block, and the pressing block is heated to generate a combustion synthesis reaction to obtain a TiC + TiB2 / Al intermediate alloy; heating and remelting die steel, adding the TiC + TiB2 / Al intermediate alloy to obtain molten steel, and pouring the molten steel to obtain nano-particle die steel; heating and remelting the nano-particle die steel to obtain a nano-particle die steel solution, and introducing nitrogen for atomization to obtain nano-particle reinforced powder; the nano-particle reinforced powder is prepared through selective laser melting, and the die steel additive is obtained; the die steel disclosed by the invention has high compactness forming and high strength and toughness.

The invention provides a multi-scale simulation method for high-fidelity selective laser melting forming and phase field-lattice Boltzmann coupling, and belongs to the technical field of selective laser melting numerical simulation. The method comprises the specific steps that a selective laser melting powder laying process model is constructed based on a discrete element method, and a randomly stacked powder bed model is obtained; a high-fidelity selective laser melting forming thermal fluid dynamic model is established, and macroscopic temperature distribution and flow field distribution of a molten pool are simulated; establishing a phase field model-lattice Boltzmann coupling model; and extracting temperature gradient, solidification velocity and melt flow velocity data of local positions of the boundary of the steady-state molten pool, and simulating solidification structure evolution under flowing of molten metal in the molten pool by taking the data as initial conditions of the phase field-lattice Boltzmann coupling model. According to the method, through high-fidelity multi-scale simulation, the relation between the process parameters and the microstructure is established more comprehensively, and reliable numerical support is provided for selective laser melting process optimization and microstructure prediction.