Hybrid prediction-optimization approaches for maximizing parts density in slm of ti6al4v titanium alloy

HIGHLIGHTS

  • who: A. Costa from the DICAR Department, University of Catania, Viale Andrea Doria, Catania, Italy have published the Article: Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy, in the Journal: (JOURNAL)
  • what: In this paper different hybrid prediction-optimization approaches for maximizing the relative density of Ti6Al4V SLM manufactured parts are proposed.
  • future: Future research should be oriented to investigate the efficacy of the same techniques on the optimal selection of processing parameters for strength maximization and/or surface roughness optimization.

SUMMARY

    Artificial_Neural_Networks . . .

     

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