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CN-121983182-A - Method and device for constructing additive manufacturing material database based on in-situ synchrotron radiation data

CN121983182ACN 121983182 ACN121983182 ACN 121983182ACN-121983182-A

Abstract

The invention provides a method and a device for constructing an additive manufacturing material database based on in-situ synchrotron radiation data, and relates to the technical field of material databases. The method comprises the steps of constructing a relational database of laser additive manufacturing based on a synchronous radiation principle of the laser additive manufacturing, capturing transient behaviors in the additive manufacturing process in real time, monitoring molten pool dynamics, defect evolution and phase change processes in a microsecond-millisecond scale, and simultaneously establishing a graphical user interface function based on the relational database of the laser additive manufacturing to support a user to analyze defect dynamic behaviors. The method can realize in-situ capturing and data communication of defect dynamic behaviors in the laser additive manufacturing process by means of structural storage, association analysis and visual display, and support material design, process optimization and quality control.

Inventors

  • ZHANG CONG
  • ZHAO JUNYONG
  • Lian Zhengzheng
  • GAO WEI

Assignees

  • 北京科技大学

Dates

Publication Date
20260505
Application Date
20251231

Claims (10)

  1. 1. A method of building an additive manufacturing material database based on in situ synchrotron radiation data, the method comprising: The method comprises the steps of S1, defining all-link data types based on a laser additive manufacturing synchrotron radiation principle, and constructing a relational database of the laser additive manufacturing, wherein the laser additive manufacturing synchrotron radiation principle comprises that synchrotron radiation penetrates through a metal material by using high-energy and high-flux X rays, transient behaviors in an additive manufacturing process are captured in real time, and the transient behaviors in the additive manufacturing process are captured in real time, wherein the transient behaviors in the additive manufacturing process comprise monitoring molten pool dynamics, defect evolution and phase change processes on a microsecond to millisecond scale through an ultrafast imaging and diffraction technology; s2, collecting material data based on the relational database, wherein the material data comprises component data, process data, synchronous radiation in-situ data, ex-situ organization data and performance data; s3, converting the material data into a plurality of data entity tables, constructing a unified public key for each data entity table, and correlating the data entity tables based on the unified public key to obtain an entity table group in the laser additive manufacturing process; S4, based on the entity table group in the laser additive manufacturing process, establishing a graphical user interface function, wherein the graphical user interface function comprises data overview, data import, data retrieval, data classification, data analysis, data extraction, data deletion, data modification and defect dynamic behavior analysis, the defect dynamic behavior analysis comprises analysis of defect dynamic behavior factors, and the defect dynamic behavior factors comprise but are not limited to air hole number, crack area and porosity.
  2. 2. The method of constructing an additive manufacturing material database based on in-situ synchrotron radiation data of claim 1, further comprising: The relational database of laser additive manufacturing is used for material design, and specifically comprises the following steps: establishing a data driving paradigm by constructing an association relation between in-situ synchrotron radiation data and process, organization and performance; performing additive manufacturing mechanism analysis based on the data-driven paradigm; Performing technological parameter reverse-pushing optimization operation based on additive manufacturing mechanism analysis, and performing quality accurate control treatment; Constructing a relational database of laser additive manufacturing; an additive manufacturing machine learning model is constructed based on experimental data, including, but not limited to, an additive manufacturing superalloy machine learning model, an additive manufacturing stainless steel machine learning model, and an additive manufacturing titanium alloy and aluminum magnesium alloy machine learning model.
  3. 3. The method of constructing an additive manufacturing material database based on in-situ synchrotron radiation data of claim 1, wherein the synchrotron radiation in-situ data comprises: Acquiring dynamic behavior information of a material in the laser additive manufacturing process by adopting a synchronous radiation in-situ characterization technology to obtain multidimensional and heterogeneous in-situ and ex-situ data, and acquiring synchronous radiation configuration and in-situ tissue parameter data; and processing and integrating the synchrotron radiation configuration and the in-situ tissue parameter data, and aligning the key process data of the material, namely the conforming process, to obtain synchrotron radiation in-situ data.
  4. 4. The method of constructing an additive manufacturing material database based on in-situ synchrotron radiation data of claim 1, wherein S1 defines full link data types based on a laser additive manufacturing synchrotron radiation principle, and constructs a laser additive manufacturing relational database, comprising: s11, monitoring microsecond to millisecond scale by means of ultrafast imaging and diffraction technology; S12, utilizing high-energy and high-flux X-rays to penetrate through a metal material by synchronous radiation, capturing transient behaviors in the additive manufacturing process in real time, and obtaining synchronous radiation in-situ time sequence images, diffraction spectrums and off-site tissue structure data; s13, carrying out space-time alignment on the synchronous radiation in-situ time sequence image, the diffraction spectrum and the off-position tissue structure data; S14, acquiring data of molten pool dynamics, defect evolution and phase change process based on microsecond to millisecond scale monitoring; S15, defining all-link data types based on molten pool dynamics, defect evolution and data of a phase change process; and S16, constructing a relational database for laser additive manufacturing based on the full-link data type.
  5. 5. The method of constructing an additive manufacturing material database based on in-situ synchrotron radiation data of claim 1, wherein the S2 is based on the relational database, collecting material data including composition data, process data, synchrotron radiation in-situ data, ex-situ organization data and performance data, comprising: s21, based on the relational database, performing systematic data acquisition of the laser additive manufacturing process; S22, collecting chemical composition ratios of recording materials to obtain component data; S23, recording process parameter settings in the additive manufacturing process to obtain process data; s24, recording real-time dynamic evolution behaviors in the manufacturing process to obtain synchronous radiation in-situ data; S25, recording physical and mechanical performance of laser additive manufacturing to obtain performance data; S26, the composition data, the process data, the synchronous radiation in-situ data, the ex-situ organization data and the performance data form material data.
  6. 6. The method for constructing an additive manufacturing material database based on in-situ synchrotron radiation data according to claim 1, wherein the step S3 of converting the material data into a plurality of data entity tables, constructing a unified common key for each data entity table, and associating based on the unified common key, to obtain a laser additive manufacturing process entity table group comprises: S31, constructing a data entity table according to material data, wherein the material data comprises additive manufacturing whole-flow data; S32, adopting unified public key construction, and carrying out field convention to obtain a unified public key dataNo, wherein the unified public key construction comprises the steps of setting dataNo as a cross-table main key, and dataNo is provided with unique identifier characteristics which are used for realizing identification information of component-process-organization-performance link traceability association; S33, according to an SQL (structured query language) relational framework, a database mode with dataNo as a core identifier is obtained through mode design, and the entity table group in the laser additive manufacturing process comprises unified definition of entity tables and meets the requirements of standardization, consistency and expansibility; S34, carrying out data organization and link design by adopting a pedigree modeling concept, and obtaining a traceable data pedigree through equivalent connection, wherein the pedigree modeling concept comprises a modeling concept of a AiiDA platform, and the equivalent connection comprises a dataNo-based cross-table connection and is convenient for cross-domain query and data driving modeling; And S35, adopting dataNo as a cross-table main key, and performing tasking slicing to obtain a target data subset, wherein the target data subset comprises data extracted according to link tracing requirements and is used for data-driven modeling or cross-domain query.
  7. 7. The method of constructing an additive manufacturing material database based on in-situ synchrotron radiation data of claim 1, wherein said S4 creating a graphical user interface function based on the set of laser additive manufacturing process entities comprises: S41, establishing a data overview and data import function, wherein the data overview and data import function is used for a user to check the overall state of a database and import external data into the system; S42, establishing a data retrieval and data classification tool for users to search and sort various manufacturing data according to specific conditions; S43, establishing a data analysis and data extraction component, supporting deep mining of data value and deriving needed information for use; s44, establishing data deletion and data modification authorities, and allowing authorized users to maintain and update specific entries in a database; s45, constructing a defect dynamic behavior analysis function for researching the evolution rule of defects in the additive manufacturing process; S46, constructing a defect dynamic behavior analysis function, mainly performing quantitative analysis on defect dynamic behavior factors, wherein the defect dynamic behavior factors cover a plurality of key indexes including but not limited to the number of pores, the area of cracks and the porosity; and S47, based on the functions, a complete set of graphical user interfaces is established to realize the visual operation and management of the entity table group in the laser additive manufacturing process.
  8. 8. An apparatus for building an additive manufacturing material database based on in-situ synchrotron radiation data for implementing a method of building an additive manufacturing material database based on in-situ synchrotron radiation data as claimed in any one of claims 1 to 7, the apparatus comprising: The database module is used for defining all-link data types based on a laser additive manufacturing synchrotron radiation principle, and constructing a relational database of the laser additive manufacturing, wherein the laser additive manufacturing synchrotron radiation principle comprises that synchrotron radiation penetrates a metal material by utilizing high-energy and high-flux X rays, and transient behaviors in an additive manufacturing process are captured in real time, and the transient behaviors in the additive manufacturing process are captured in real time, namely, molten pool dynamics, defect evolution and phase change processes are monitored on a microsecond to millisecond scale through an ultrafast imaging and diffraction technology; the data acquisition module is used for acquiring material data based on the relational database, wherein the material data comprises component data, process data, synchronous radiation in-situ data, ex-situ organization data and performance data; The entity table module is used for converting the material data into a plurality of data entity tables, constructing a unified public key for each data entity table, and carrying out association based on the unified public key to obtain an entity table group in the laser additive manufacturing process; The interface function module is used for establishing a graphic user interface function based on the entity table group in the laser additive manufacturing process, wherein the graphic user interface function comprises data overview, data import, data retrieval, data classification, data analysis, data extraction, data deletion, data modification and defect dynamic behavior analysis, the defect dynamic behavior analysis comprises analysis of defect dynamic behavior factors, and the defect dynamic behavior factors comprise but are not limited to air hole number, crack area and porosity.
  9. 9. An apparatus for building an additive manufacturing material database based on in situ synchrotron radiation data, characterized by a processor for building an additive manufacturing material database based on in situ synchrotron radiation data, a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method of any one of claims 1 to 7.
  10. 10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program code, which is callable by a processor for executing the method according to any one of claims 1 to 7.

Description

Method and device for constructing additive manufacturing material database based on in-situ synchrotron radiation data Technical Field The invention relates to the technical field of material databases, in particular to a method and a device for constructing an additive manufacturing material database based on in-situ synchrotron radiation data. Background Laser additive manufacturing (e.g., LPBF and DED) is increasingly used in critical component areas where the development process is highly dependent on data driving. Internationally formed diversified material data platform ecology, such as a Citrine platform, focuses on the whole-flow data management of material research and development, MATERIALS COMMONS supports a traceable workflow of scientific research and cooperation, MATERIALS PROJECT and AiiDA respectively form characteristics in aspects of high-throughput calculation and calculation flow automation, and a Senvol database provides engineering selection support. These platforms collectively verify the value of the "high quality data+traceable workflow" architecture. However, additive manufacturing involves very complex unbalanced physical metallurgical processes such as laser metal interactions, rapid solidification of moving melt pools, thermal stress evolution under cyclic conditions, and the like. Traditional material databases mainly deal with static 'composition-tissue-performance' relations, and are difficult to capture dynamic characteristics of 'process, namely material', in laser additive manufacturing, and synchrotron radiation in-situ characterization technology has unique advantages in the dynamic, real-time and high-resolution characterization fields. The most critical defect dynamic information in additive manufacturing is incorporated into a database, and the technology for providing data support for quality control and process optimization is deficient. Disclosure of Invention In order to solve the technical problem that in the prior art, multidimensional and heterogeneous in-situ and ex-situ data are difficult to integrate, and a special database embodying the characteristic of a laser additive manufacturing process, namely a material is constructed, the embodiment of the invention provides a technical scheme. The technical scheme is as follows: In one aspect, there is provided a method of building an additive manufacturing material database based on in-situ synchrotron radiation data, the method being implemented by an apparatus for building an additive manufacturing material database based on in-situ synchrotron radiation data, the method comprising: The method comprises the steps of S1, defining all-link data types based on a laser additive manufacturing synchrotron radiation principle, and constructing a relational database of the laser additive manufacturing, wherein the laser additive manufacturing synchrotron radiation principle comprises that synchrotron radiation penetrates through a metal material by using high-energy and high-flux X rays, transient behaviors in an additive manufacturing process are captured in real time, and the transient behaviors in the additive manufacturing process are captured in real time, wherein the transient behaviors in the additive manufacturing process comprise monitoring molten pool dynamics, defect evolution and phase change processes on a microsecond to millisecond scale through an ultrafast imaging and diffraction technology; s2, collecting material data based on the relational database, wherein the material data comprises component data, process data, synchronous radiation in-situ data, ex-situ organization data and performance data; s3, converting the material data into a plurality of data entity tables, constructing a unified public key for each data entity table, and correlating the data entity tables based on the unified public key to obtain an entity table group in the laser additive manufacturing process; S4, based on the entity table group in the laser additive manufacturing process, establishing a graphical user interface function, wherein the graphical user interface function comprises data overview, data import, data retrieval, data classification, data analysis, data extraction, data deletion, data modification and defect dynamic behavior analysis, the defect dynamic behavior analysis comprises analysis of defect dynamic behavior factors, and the defect dynamic behavior factors comprise but are not limited to air hole number, crack area and porosity. Preferably, the method further comprises: The relational database for laser additive manufacturing is used for material design, and specifically comprises the steps of establishing a data driving paradigm by constructing the association relation between in-situ synchrotron radiation data and process, organization and performance; performing additive manufacturing mechanism analysis based on the data-driven paradigm; Performing technological parameter reverse-pushing optimization