A comprehensive study on variability of relative density in selective laser melting of Ti-6Al-4V

Amir Mahyar Khorasani*, Ian Gibson, Amir Hossein Ghasemi, Alireza Ghaderi

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

30 Citations (Scopus)
15 Downloads (Pure)


In this research, the effects of Selective Laser Melting (SLM) process parameters comprising laser power, scan speed, hatch space and scan pattern angle on the formation of porosity and subsequently density have been analysed. To improve the mechanical properties, post-processes (heat treatment) must be performed. Therefore, heat treatment was added to the design of experiment to analyse the effect of this process coupling with SLM process parameters on the value of density. A comprehensive design set with five levels for each parameter was selected so Taguchi L25 was used as the design of experiment. The significance of each parameter on obtained results was examined using statistical analysis (F-Test) and numerical model (interrogator analysis). The correlation between two process parameters was discussed by using 3D analytical and contour plots and the mechanisms behind these were discussed in depth. The contribution of this paper is a deep investigation of the relation of process parameters and heat treatment on density based on the Artificial Neural Network model. Results showed that better density is obtained with lower scan speed, laser power and scanning pattern angle. Meanwhile, for heat treatment and hatch space, the best density was obtained in their optimum range.

Original languageEnglish
Pages (from-to)349-359
Number of pages11
JournalVirtual and Physical Prototyping
Issue number4
Publication statusPublished - 2 Oct 2019


  • UT-Hybrid-D
  • density
  • mechanical properties
  • Modeling
  • process parameters
  • Additive manufacturing


Dive into the research topics of 'A comprehensive study on variability of relative density in selective laser melting of Ti-6Al-4V'. Together they form a unique fingerprint.

Cite this