Journal article
A thermomechanical finite element model and its comparison to inherent strain method for powder-bed fusion process
- Abstract:
- In this study, a thermomechanical model is developed to predict the melt-pool dimensions and residual stresses for laser powder bed fusion process. Inherent strain method is also used to predict residual stresses by using only the thermal solution that is free the complexities involved with the mechanical solution. A unique approach is developed to define the surface heat losses as volumetric heat losses in order to avoid the definition of traction-free surfaces and their re-definition after layer deposition. The thermal process simulations predict melt-pool dimensions of experimental cross-sections of single tracks within approximately 10% agreement. The thermomechanical process model is used to forecast the effect of process parameters on the melt-pool dimensions and residual stresses. The inherent strain method reproduces the residual stresses within 15% accuracy, approximately six times faster in comparison to the thermomechanical model, and free of any convergence issues related with the displacement field solution.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 8.1MB, Terms of use)
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- Publisher copy:
- 10.1016/j.addma.2022.102708
Authors
+ Sabancı Üniversitesi
More from this funder
- Funder identifier:
- https://ror.org/049asqa32
- Funding agency for:
- Bayraktar, C
- Publisher:
- Elsevier
- Journal:
- Additive Manufacturing More from this journal
- Volume:
- 54
- Article number:
- 102708
- Publication date:
- 2022-03-04
- Acceptance date:
- 2022-02-19
- DOI:
- EISSN:
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2214-7810
- ISSN:
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2214-8604
- Language:
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English
- Keywords:
- Pubs id:
-
1318233
- Local pid:
-
pubs:1318233
- Deposit date:
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2023-05-10
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier B.V.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Elsevier B.V. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available from Elsevier at: 10.1016/j.addma.2022.102708
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