Factorial design analytics on effects of material parameter uncertainties in multiphysics modeling of additive manufacturing

HIGHLIGHTS

  • who: Amanda Giam from the (UNIVERSITY) have published the Article: Factorial design analytics on effects of material parameter uncertainties in multiphysics modeling of additive manufacturing, in the Journal: (JOURNAL)
  • what: To bridge this gap, the authors propose the use of a computationally efficient factorial design, and a comprehensive variable selection approach, to analyze the effects arising from input parameter uncertainties and their interactions in a high-fidelity multi-physics model, i.e., the thermal-fluid model. Through the use of analytics coupled with the strength of high-fidelity multi-physics modeling, the authors aim to . . .

     

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