Predictive analytical modelling and experimental validation of processing maps in additive manufacturing of nitinol alloys

Jia Ning Zhu, Evgenii Borisov, Xiaohui Liang, Eduard Farber, M. J.M. Hermans, V. A. Popovich

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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Abstract

Nitinol (NiTi) shape memory alloys fabricated by Laser Powder Bed Fusion (L-PBF) Additive Manufacturing (AM) have attracted much attention in recent years, as compared with conventional manufacturing processes it allows to produce Nitinol parts with high design complexity. Avoidance of defects during L-PBF is crucial for the production of high quality Nitinol parts. In this study, analytical models predicting melt pool dimensions and defect formation criteria were synergistically used to develop processing maps demonstrating boundary conditions for the formation of such defects, as balling, keyhole-induced pores, and lack of fusion. Experimental validation has demonstrated that this method can provide an accurate estimation and guide manufacturability of defect-free Nitinol alloys. Moreover, the crack formation phenomena were experimentally analysed, which showed that a low linear energy density (El) should be chosen to avoid cracks in the optimized process windows. Based on model predictions and experimental calibrations, Nitinol samples with a relative density of more than 99% were successfully fabricated.

Original languageEnglish
Article number101802
Number of pages14
JournalAdditive Manufacturing
Volume38
DOIs
Publication statusPublished - 2021

Keywords

  • Analytical model
  • Defect formation
  • Laser powder bed fusion
  • Nitinol alloys
  • Process optimization

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