A comprehensive study on meltpool depth in laser-based powder bed fusion of Inconel 718
Artikel i vetenskaplig tidskrift, 2022

One problematic task in the laser-based powder bed fusion (LB-PBF) process is the estimation of meltpool depth, which is a function of the process parameters and thermophysical properties of the materials. In this research, the effective factors that drive the meltpool depth such as optical penetration depth, angle of incidence, the ratio of laser power to scan speed, surface properties and plasma formation are discussed. The model is useful to estimate the meltpool depth for various manufacturing conditions. A proposed methodology is based on the simulation of a set of process parameters to obtain the variation of meltpool depth and temperature, followed by validation with reference to experimental test data. Numerical simulation of the LB-PBF process was performed using the computational scientific tool “Flow3D Version 11.2” to obtain the meltpool features. The simulation data was then developed into a predictive analytical model for meltpool depth and temperature based on the thermophysical powder properties and associated parameters. The novelty and contribution of this research are characterising the fundamental governing factors on meltpool depth and developing an analytical model based on process parameters and powder properties. The predictor model helps to accurately estimate the meltpool depth which is important and has to be sufficient to effectively fuse the powder to the build plate or the previously solidified layers ensuring proper bonding quality. Results showed that the developed analytical model has a high accuracy to predict the meltpool depth. The model is useful to rapidly estimate the optimal process window before setting up the manufacturing tasks and can therefore save on lead-time and cost. This methodology is generally applied to Inconel 718 processing and is generalisable for any powder of interest. The discussions identified how the effective physical factors govern the induced heat versus meltpool depth which can affect the bonding and the quality of LB-PBF components.

Laser-based powder bed fusion

Additive manufacturing

Laser irradiation


Meltpool depth


Mahyar Khorasani

RMIT University

Deakin University

Amir Hossein Ghasemi

Australian Institute of Science & Technology

Martin Leary

RMIT University

Laura Cordova Gonzalez

Chalmers, Industri- och materialvetenskap, Material och tillverkning

Elmira Sharabian

RMIT University

Ehsan Farabi

Deakin University

Ian Gibson

Universiteit Twente

Deakin University

Milan Brandt

RMIT University

Bernard Rolfe

Deakin University

International Journal of Advanced Manufacturing Technology

0268-3768 (ISSN) 1433-3015 (eISSN)

Vol. In Press


Teknisk mekanik

Bearbetnings-, yt- och fogningsteknik

Sannolikhetsteori och statistik



Mer information

Senast uppdaterat