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Influence of Computational Grid and Deposit Volume on Residual Stress and Distortion Prediction Accuracy for Additive Manufacturing Modeling

  • O. DesmaisonEmail author
  • P.-A. Pires
  • G. Levesque
  • A. Peralta
  • S. Sundarraj
  • A. Makinde
  • V. Jagdale
  • M. Megahed
Conference paper
Part of the The Minerals, Metals & Materials Series book series (MMMS)

Abstract

Powder Bed Additive Manufacturing offers unique advantages in terms of cost, lot size and manufacturability of complex products. The energy used however leads to distortions during the process. The distortion of single layers can be comparable with the powder layer thickness. The contact between the coater blade and the deposited material could terminate the build process. Furthermore, accumulated residual stresses can lead to deviations of the final shape from the design. This work focusses on the accuracy of quick residual stress and distortion models that will both provide layer by layer distortion data as well as the final work piece residual stress and shape. The residual stress and distortion models are implemented in an ICME platform that takes powder size distribution as well as the heat source powder interaction into account. Lower scale models are briefly introduced and data required for the residual stress analysis are documented prior to the analysis of some large components assessing manufacturability and final work piece shape.

Keywords

Metal additive manufacturing Powder bed Process modeling Residual stress Distortion 

Notes

Acknowledgements

This effort was performed under the America Makes Program entitled ‘Development of Distortion Prediction and Compensation Methods for Metal Powder-Bed Additive Manufacturing’ and is based on research sponsored by Air Force Research Laboratory under agreement number FA8650-12-2-7230. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon.

The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory or the U.S. Government.

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Copyright information

© The Minerals, Metals & Materials Society 2017

Authors and Affiliations

  • O. Desmaison
    • 1
    Email author
  • P.-A. Pires
    • 1
  • G. Levesque
    • 2
  • A. Peralta
    • 2
  • S. Sundarraj
    • 2
  • A. Makinde
    • 3
  • V. Jagdale
    • 4
  • M. Megahed
    • 1
  1. 1.ESI GroupParisFrance
  2. 2.Honeywell AerospacePhoenixUSA
  3. 3.GE Global ResearchNiskayunaUSA
  4. 4.UTRCEast HartfordUSA

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