Numerical modeling and synchrotron diffraction measurements of residual stresses in laser powder bed fusion manufactured alloy 625Show others and affiliations
2022 (English)In: Materials & design, ISSN 0264-1275, E-ISSN 1873-4197, Vol. 216, article id 110548Article in journal (Refereed) Published
Abstract [en]
Residual stresses in metal additive manufactured components are a well-known problem. It causes dis-tortion of the samples when removing them from the build plate, as well as acting detrimental with regard to fatigue. The understanding of how residual stresses in a printed sample are affected by process parameters is crucial to allow manufacturers to tune their process parameters, or the design of their com-ponent, to limit the negative influence of residual stresses. In this paper, residual stresses in additive manufactured samples are simulated using a thermo-mechanical finite element model. The elasto-plastic behavior of the material is described by a mechanism-based material model that accounts for microstructural and relaxation effects. The heat source in the finite element model is calibrated by fitting the model to experimental data. The residual stress field from the finite element model is compared with experimental results attained from synchrotron X-ray diffraction measurements. The results from the model and measurement give the same trend in the residual stress field. In addition, it is shown that there is no significant difference in trend and magnitude of the resulting residual stresses for an alterna-tion in laser power and scanning speed.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2022. Vol. 216, article id 110548
Keywords [en]
Residual stress, Material model, Alloy 625, Deformations, Finite Element Method, Synchrotron X-ray diffraction
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-51751DOI: 10.1016/j.matdes.2022.110548ISI: 000793343200004Scopus ID: 2-s2.0-85126860901OAI: oai:DiVA.org:mau-51751DiVA, id: diva2:1661958
2022-05-302022-05-302024-06-18Bibliographically approved