A rapid experimental workflow for studying melt track scaling in laser powder bed fusion using high-precision metal template substrates

TL;DR

This paper introduces a high-precision, template-based experimental workflow for studying melt track scaling in laser powder bed fusion, enabling efficient parameter exploration and transferability analysis.

Contribution

It presents a novel workflow using etched metal templates for precise single-layer LPBF experiments, improving alignment and analysis for better process understanding.

Findings

Successful application of templates for melt track analysis

Quantified material addition with increasing powder thickness

Verified transferability of single-track results to full builds

Abstract

Development and qualification of process parameters in laser powder bed fusion (LPBF) commonly involves many variables. At the outset of development, whether transferring known parameters to a new machine, or exploring a new material, single-track and single-layer experiments are a convenient means of down-selecting key variables and exploring parameter scaling behavior. We present an experimental workflow for single-layer LPBF experiments using etched high-precision metal template substrates, overcoming challenges with precision single-layer alignment in LPBF systems and enabling efficient processing and cross-sectional analysis. Templates are fabricated using chemical etching and machining, and are characterized using optical profilometry and X-ray transmission imaging of powder layers. Using the templates a single-track parameter study is performed in SS316 including three powder layer thicknesses, and spanning common laser melting modes (lack-of-fusion, conduction, and keyhole mode). Analysis of melt track geometries using automated image processing allows a scaling law to be applied to define the process window, quantifying the amount of material added with increasing powder layer thickness. Single-track results are verified with raster scanning experiments, showing the potential to transfer single-track results to full LPBF builds.