From c9d340d83c34e25db001188415239d31a6bb3197 Mon Sep 17 00:00:00 2001 From: John Coleman <103219962+colemanjs@users.noreply.github.com> Date: Wed, 12 Jun 2024 16:34:21 -0400 Subject: [PATCH] Update paper.md --- doc/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/paper.md b/doc/paper.md index 0e972c5..1a9f50b 100644 --- a/doc/paper.md +++ b/doc/paper.md @@ -33,7 +33,7 @@ bibliography: paper.bib AdditiveFOAM is a framework for simulating transport phenomena relevant to Additive Manufacturing (AM) processes that is built on OpenFOAM [@openfoam], the leading free, open-source software package for computational fluid dynamics (CFD). OpenFOAM provides a comprehensive suite of tools that leverage state-of-the-art finite volume methods in an extensible framework for solving complex multiphysics problems. AdditiveFOAM leverages these capabilities to incorporate specialized tools tailored to addressing AM processing challenges. -Metal additive manufacturing, also known as metal 3D printing, is an advanced manufacturing technique used for creating physical parts from a three-dimensional (3D) digital model via selectively melting metal powder or wire feedstock. An active area of research in metal AM is focused on process planning to mitigate anomalous features during printing that are deleterious to part performance (e.g. porosity and cracking) as well as localized microstructure and material properties control. Comphrensive experimental campaigns to qualify new materials, processes, and parameter spaces are time-consuming and costly, motivating researchers to deploy advanced numerical models. +Metal additive manufacturing, also known as metal 3D printing, is an advanced manufacturing technique used for creating physical parts from a three-dimensional (3D) digital model via selectively melting metal powder or wire feedstock. An active area of research in metal AM is focused on process planning to mitigate anomalous features during printing that are deleterious to part performance (e.g. porosity and cracking) as well as localized microstructure and material properties control. Comprehensive experimental campaigns to qualify new materials, processes, and parameter spaces are time-consuming and costly, motivating researchers to deploy advanced numerical models. # Statement of need