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Design for Metal Additive Manufacturing Part 1: Materials Selection and Process Parameter Optimization

Description Change to: As one of the pillars of Industry 4.0, additive manufacturing (AM) is finding its place in engineering education curricula. The standard industry practice utilizes AM simulation to ensure that components are produced with minimal experimental trial and error. This case study is first in a series of three that explore this AM workflow in the context of producing an aeronautics bracket through Metal Additive Manufacturing (MAM). This workflow starts from material selection in Ansys Granta EduPack and progresses to optimizing the processing parameters used in MAM for this selected material to ensure minimal porosity using the tools available in the Ansys Additive Suite software are utilized. The second part of this case study series, focused on topology optimization and build prep, can be found here. The third part of this case study series, which focuses on print parameter predictions, c-part-2. The third part of this case study series, which focuses on print parameter predictions, can be found here

Learning Outcomes

  • Understanding metal additive manufacturing workflow
  • Ability to use Ansys Granta EduPack for material selection
  • Ability to use Ansys Additive Suite to optimize process parameters used in MAM 

Applicable Courses for Use

 Additive Manufacturing, 3D printing, digital manufacturing, manufacturing process ​

Downloadable Content

  • Case study report
  • Simulation files
Case Study: Design for Metal Additive Manufacturing Part 1: Materials Selection and Process Parameter Optimization

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