Texture Analysis of Inconel 718 with Different Modes During Single-Track Laser Surface Re-Melting

Published

January 23, 2025

Author(s)

Liuqing Yang, Tongjun Niu, Joseph Stilgenbauer, Brandon Lane, Nan Li, Jordan Weaver, Youxing Chen

Abstract

An in-depth understanding of the texture formation in melt pools allows for the modification of the surface layer microstructure and corresponding material properties, providing an opportunity to integrate laser surface re-melting into metal additive manufacturing. This study investigates crystallographic texture formation at different cooling rates in single melting tracks on the Inconel 718 (IN718) plate produced by laser surface re-melting. The cooling rate varies from 2.31 × 105 °C/s to 9.56 × 105 °C/s with the increase in scanning rates from 400 mm/s to 1200 mm/s, measured by recently developed real-time temperature monitoring of melt pools. Columnar grains are dominant, with distinct crystallographic textures forming in the melt pools. At a slower scanning speed, the keyhole mode shows three different textures forming at different depths (crystallographically layered structure), while, at a faster scanning speed, the conduction mode shows only random grain orientation. There are no pores/voids detected, and the columnar grain morphology and columnar grain width (8.6 μm to 12.4 μm) follow the analysis framework in terms of thermal gradient and solidification rate analysis. This implies that laser surface re-melting provides the potential to modify the surface structure from a random grain orientation to a crystallographically layered structure.

Citation

Metals

Pub Type

Journals

Download Paper

https://doi.org/10.3390/met15020107

Local Download

Keywords

laser surface re-melting, texture control, additive manufacturing

Citation

Yang, L. , Niu, T. , Stilgenbauer, J. , Lane, B. , Li, N. , Weaver, J. and Chen, Y. (2025), Texture Analysis of Inconel 718 with Different Modes During Single-Track Laser Surface Re-Melting, Metals, [online], https://doi.org/10.3390/met15020107, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=958155 (Accessed February 5, 2025)