The Journal of
the Korean Journal of Metals and Materials

The Journal of
the Korean Journal of Metals and Materials

Monthly
  • pISSN : 1738-8228
  • eISSN : 2288-8241

Editorial Office

Title Residual Stress Evolution Under Varying Process Parameters During L-DED of AISI 316L Stainless Steel Using Cantilever Beam Experiments and Finite Element Analysis
Authors 정종욱(Jongwook Jung) ; 하경식(Kyeongsik Ha) ; 이욱진(Wookjin Lee)
DOI https://doi.org/10.3365/KJMM.2025.63.10.788
Page pp.788-802
ISSN 1738-8228(ISSN), 2288-8241(eISSN)
Keywords Additive manufacturing; L-DED; AISI 316L; FEM; Residual stress
Abstract Laser directed energy deposition (L-DED) is a metal additive manufacturing technique that provides high design flexibility and enables the fabrication of complex geometries. However, the rapid and localized thermal cycles inherent to the process lead to the formation of residual stresses, which degrade mechanical properties and dimensional accuracy of the fabricated parts. In this study, the effect of L-DED process parameters on residual stress formation was investigated using AISI 316L powder. Experiments were conducted by depositing material onto substrates fixed at both ends, and bending deformation after constraint removal was measured to evaluate the residual stress. The influences of key process parameters, including laser power, scan speed, and scanning strategy, were systematically examined. A finite element method (FEM) simulation based on the birth and death technique was developed to replicate the thermal and mechanical behavior during the L-DED process. The simulation incorporated the temperature gradient mechanism (TGM) and thermal strain of deposited layers to improve prediction accuracy. The FEM model successfully reproduced the experimental trends, accurately predicting both the bending height and residual stress distributions under various processing conditions. In particular, the model effectively captured the influence of different scanning strategies on the stress profile, demonstrating its ability to simulate processinduced thermal and mechanical behaviors with high fidelity. These findings provide a quantitative basis for optimizing L-DED parameters and contribute to process design strategies aimed at minimizing residual stress and enhancing dimensional stability in metal additive manufacturing.