Melt pool feature analysis using a high-speed coaxial monitoring system for laser powder bed fusion of Ti-6Al-4 V grade 23

• Published in: International journal of advanced manufacturing technology Vol. 120; no. 9-10; pp. 6497 - 6514
• Main Authors: Thanki, Aditi, Goossens, Louca, Ompusunggu, Agusmian Partogi, Bayat, Mohamad, Bey-Temsamani, Abdellatif, Van Hooreweder, Brecht, Kruth, Jean-Pierre, Witvrouw, Ann
• Format: Journal Article
• Language: English
• Published: London Springer London 01-06-2022; Springer Nature B.V
• Subjects: CAE) and Design; Computed tomography; Computer-Aided Engineering (CAD; Defects; Engineering; Flux density; High speed; Image processing; Industrial and Production Engineering; Infrared cameras; Keyholes; Lasers; Mechanical Engineering; Media Management; Melting; Monitoring; Monitoring systems; Numerical models; Original Article; Porosity; Powder beds; Process parameters; Simulation; Titanium; Vanadium; Finite volume modelling; X-ray computed tomography (X-CT); Laser powder bed fusion (LPBF); Spatter analysis; Melt pool monitoring; Keyhole porosity
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-022-09168-2

In laser powder bed fusion (LPBF), defects such as pores or cracks can seriously affect the final part quality and lifetime. Keyhole porosity, being one type of porosity defects in LPBF, results from excessive energy density which may be due to changes in process parameters (namely, laser power and scan speed) and/or result from the part’s geometry and/or hatching strategies. To study the possible occurrence of keyhole pores, experimental work and simulations were carried out for optimum and high volumetric energy density conditions in Ti-6Al-4 V grade 23. By decreasing the scanning speed from 1000 to 500 mm/s for a fixed laser power of 170 W, keyhole porosities are formed and later observed by X-ray computed tomography. Melt pool images are recorded in real-time during the LPBF process by using a high-speed coaxial Near-Infrared (NIR) camera monitoring system. The recorded images are then pre-processed using a set of image processing steps to generate binary images. From the binary images, geometrical features of the melt pool and features that characterize the spatter particle formation and ejection from the melt pool are calculated. The experimental data clearly show spatter patterns in case of keyhole porosity formation at low scan speed. A correlation between number of pores and amount of spatter is observed. Besides the experimental work, a previously developed high fidelity finite volume numerical model was used to simulate the melt pool dynamics with similar process parameters as used during the experiments. Simulation results illustrate and confirm the keyhole porosity formation by decreasing laser scan speed.