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Prediction of Cracking Locations in Part-Scale Process Simulation of Wire-and-Arc Additive Manufacturing

  • Patrick O’Toole
  • , Johannes Kronsteiner
  • , Hugo Drexler
  • , Elias Theil
  • , Duyao Zhang
  • , Erich Neubauer
  • , Michael Benoit
  • , Evgeniya Kabliman
  • , Andrey Molotnikov
  • , Mark Easton
  • Universität Stuttgart
  • AIT Austrian Institute of Technology
  • RHP-Technology GmbH
  • University of Waterloo
  • Universität Bremen
  • RMIT University

Research output: Contribution to journal › Article › peer-review

Abstract

Wire-and-arc additive manufacturing (known in the standard as direct energy deposition with an arc source, DED-Arc) is a cost-effective and high-productivity technology for aerospace, automotive, and maritime applications. However, its application to light-weighting of structural components which are made of higher strength aluminum alloys is hindered by a lack of microstructure control and the presence of solidification cracking. These are two issues that are inherited from its immediate predecessor technology, welding. Using an integrated computational materials engineering approach, a thermo-mechanical finite element model is coupled with a microstructure and cracking prediction framework. The model successfully predicts thermal field evolution, microstructural features, and regions prone to solidification cracking. When validated against experimental DED-Arc builds, it accurately identifies subsurface cracks with high spatial specificity. Key findings indicate that grain refinement significantly reduces cracking, and that toolpath control and part design play crucial roles in mitigating defects in thin-walled structures. This work advances predictive modeling for DED-Arc and provides guidelines for improving manufacturability through microstructural engineering.

Original languageEnglish
Pages (from-to)682-701
Number of pages20
JournalIntegrating Materials and Manufacturing Innovation
Volume15
Early online date24 Jul 2026
DOIs
Publication statusPublished - 30 Sept 2026

Data Availability Statement

The raw and processed data required to reproduce these findings as well as the program code of the algorithm investigated in this study is available model as well as the compiled subroutines for LS-Dyna have been uploaded to Gitlab (https://gitlab.com/ait-lkr/m4am-h-geometry_simulation).

Funding

Open Access funding enabled and organized by CAUL and its Member Institutions.

Keywords

  • AA6061
  • Analytical models
  • High-strength aluminum
  • Hot tearing
  • ICME
  • Process simulation
  • Process–structure–property
  • Solidification cracking
  • Wire-and-arc additive manufacturing

ASJC Scopus subject areas

  • General Materials Science
  • Industrial and Manufacturing Engineering

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