Full-Field Mapping and Flow Quantification of Melt Pool Dynamics in Laser Powder Bed Fusion of SS316L

Rehman A. U., Pitir F., SALAMCİ M. U.

MATERIALS, cilt.14, sa.21, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 21
  • Basım Tarihi: 2021
  • Doi Numarası: 10.3390/ma14216264
  • Dergi Adı: MATERIALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, CAB Abstracts, Communication Abstracts, Compendex, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
  • Anahtar Kelimeler: multi-physics model, LPBF process, multiple reflection, selective laser melting, selective laser sintering, Marangoni flow, metal, SS316L, IN-SITU CHARACTERIZATION, MECHANICAL-PROPERTIES, SOLIDIFICATION MICROSTRUCTURE, METALLIC COMPONENTS, PROCESS PARAMETERS, SIMULATION, FLUID, DENUDATION, POROSITY, SPATTER
  • Gazi Üniversitesi Adresli: Evet

Özet

Laser powder bed fusion (LPBF) has a wide range of uses in high-tech industries, including the aerospace and biomedical fields. For LPBF, the flow of molten metal is crucial; until now, however, the flow in the melt pool has not been described thoroughly in 3D. Here, we provide full-field mapping and flow measurement of melt pool dynamics in laser powder bed fusion, through a high-fidelity numerical model using the finite volume method. The influence of Marangoni flow, evaporation, as well as recoil pressure have been included in the model. Single-track experiments were conducted for validation. The temperature profiles at different power and speed parameters were simulated, and results were compared with experimental temperature recordings. The flow dynamics in a single track were exposed. The numerical and experimental findings revealed that even in the same melting track, the melt pool's height and width can vary due to the strong Marangoni force. The model showed that the variation in density and volume for the same melting track was one of the critical reasons for defects. The acquired findings shed important light on laser additive manufacturing processes and pave the way for the development of robust, computational models with a high degree of reliability.