A method for the predictive and automated detection of the shrink line location during the powder bed fusion of metals using a laser beam

Dominik Rauner, Daniel Wolf, Lukas Spano, Michael F. Zaeh

Research output: Contribution to journalConference articlepeer-review

Abstract

The powder bed fusion of metals using a laser beam enables the additive manufacturing of topology-optimized parts involving structural transitions and rapid cross-sectional changes. Both geometry features can cause shrink lines, which reduce the dimensional accuracy and the fatigue resistance of the manufactured part. To provide reduction measures, their point of origin needs to be located in advance. This work presents an algorithm capable of automatically predicting the shrink line location for arbitrary discretized geometries. The results demonstrate the reliable detection and layer-wise characterization of the shrink-line-causing geometry features. Suitable discretization parameters were derived and the dependence of the computational time on the part complexity was quantified.

Original languageEnglish
Pages (from-to)561-566
Number of pages6
JournalProcedia CIRP
Volume126
DOIs
StatePublished - 2024
Event17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023 - Naples, Italy
Duration: 12 Jul 202314 Jul 2023

Keywords

  • Additive manufacturing
  • finite elements
  • geometry analysis
  • modeling
  • numerics
  • shrink line

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