Abstracts Book - IMRC 2018

• SWS-O015
MICROSTRUCTURE PREDICTION OF A SS316L ALLOY
MANUFACTURED BY SELECTIVE LASER MELTING
Rigoberto Guzman 1,2 , Viridiana Lince 1,2 , Omar Lopez 1,3 , Patricia del Carmen Zambrano 1,2
1 National Laboratory for Additive and Digital Manufacturing, , Mexico. 2 Universidad Autónoma
de Nuevo León, Facultad de Ingenieria Mecanica y Electrica, Mexico. 3 Tecnológico de
Monterrey, Escuela de Ingeniería y Ciencias, Mexico.
The development of a highly efficient Cellular Automata (CA) - Finite Element (FE)
(CA-FE) numerical model for the laser melting of SS316L has been developed to
predict the microstructure evolution of a stainless steel alloy processed by
Selective Laser Melting (SLM). It is important to know the thermal evolution and
size of the melt pool during the SLM process in order to understand the
solidification process and predict the final grain structure. The Finite Element
(FE) model was used to calculate the heat flow taking into consideration the
powder-to-liquid-to-solid transformation and anisotropic thermal
conductivities. Based on the computed thermal field a Cellular Automata (CA)
method predicts the grain growth and the solidification texture. This research
work computes the dynamics of several melt pools and several tracks and
predicts local solidification parameters, microstructure and melt pool
dimensions in parts manufactured via Selective Laser Melting (SLM) an Additive
Manufacturing (AM) process.
Acknowledgment:
The authors of this research work acknowledgment the support of the Fondo
Institucional de Fomento Regional para el Desarrollo Científico, Tecnológico y de
Innovación de CONACYT.
Keywords: Grain structure, Finite Element, Selective Laser Melting
Presenting authors email: rigoberto.guzmanng@uanl.edu.mx