Prediction of magnesium alloy edge crack in edge-constraint rolling process by using a modified GTN model
International Journal of Mechanical Sciences, ISSN: 0020-7403, Vol: 241, Page: 107961
2023
- 18Citations
- 5Captures
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Article Description
Edge cracks are a type of damage that critically affect the quality and properties of rolled Mg alloys sheet. Accurate damage prediction plays a key role in root cause analysis and process optimization. Although the phenomenological prediction of edge damage in Mg alloy rolling has made some progress so far, the prediction of edge crack behavior and analysis of the mechanisms of crack formation and evolution during rolling have not yet been well reported. In this research, a modified Gurson-Tvergarrd-Needleman (GTN) model was proposed by modifying the growth mode of shear damage. The three-dimensional single-unit finite element (FE) model test results indicated that the proposed model improved the accuracy of the fracture response under negative stress triaxiality. Using AZ31B Mg alloy as the case study material, physical experiments and FE analysis of the rolling process were conducted. The simulations showed that the proposed model can accurately reflect the morphology and location of cracks during the rolling process, and revealed that the high-stress triaxiality at the Mg alloy edge was a significant cause of edge cracking. On this basis, an edge-constraint rolling process was proposed to inhibit edge cracking by embedding the billet into a U-shaped sheet. The numerical results showed that the minimum value of edge stress triaxiality could be reduced from -0.8 to -2.05 during edge-constraint rolling, and the accumulation of damage could be limited. The sheet forming quality was verified with different reduction rates of 30, 35, and 40%, and the results showed that the edge cracks could be effectively avoided during edge-constraint rolling, which provides an important basis for optimizing the rolling deformation process of Mg alloys.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0020740322008396; http://dx.doi.org/10.1016/j.ijmecsci.2022.107961; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85143058161&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0020740322008396; https://dx.doi.org/10.1016/j.ijmecsci.2022.107961
Elsevier BV
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