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Frontiers of Engineering Reports on Leading-Edge Engineering from the 2019 Symposium (2020) / Chapter Skim
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Computational Materials for the Design and Qualification of Additively Manufactured Components - Christapher G. Lang
Pages 5-10

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 5...
... Integrated multiscale modeling methods allow prediction of the process– structure–property relationships, including the effect of defects. This paper primarily focuses on the powder bed fusion process and its application to aerospace flight systems, with discussion of in situ monitoring, process-to-microstructure linkages including residual stress, and microstructure-to-performance linkages.
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From page 6...
... When combined with in situ process monitoring, computational modeling enables the development and integration of manufacturing process capabilities and constraints as well as qualification considerations such as inspection requirements in the component design. COMPUTATIONAL MODELING OF THE AM PROCESS Process modeling is used to develop an understanding of the relationship between the process parameters, feedstock, microstructural and porosity evolutions, and resulting mechanical properties by solving the governing equations for the physics of the process.
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From page 7...
... A promising approach for predicting residual stress is the modified inherent strain method, which computes the strain at the scan track scale and imposes the strains in a layer-by-layer fashion to a part scale mechanical analysis (Liang et al.
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From page 8...
... DXR data help characterize the melt pool and solidification behavior for various feedstock compositions and baseplate material as well as varying laser parameters. SUMMARY Computational modeling supports the qualification efforts necessary to realize the full potential of AM for designing and manufacturing aerospace components.
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From page 9...
... 2017. In situ absorptivity measurements of metal lic powders during laser powder-bed fusion additive manufacturing.
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Key Terms

  • process parameters
  • bed fusion
  • laser powder
  • melt pool
  • residual stress

  • computational modeling
  • temperature history
  • situ process
  • process control
  • computational materials

  • qualification efforts
  • fusion process
  • process monitoring
  • process simulation
  • laser power

  • additive manufacturing
  • component design
  • keyhole mode
  • scan speed
  • stress formation

  • aerospace flight
  • conduction mode
  • physical testing
  • materials research
  • critical events

  • process process
  • process modeling
  • process data
  • improved process
  • specific process


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