Research on Optimizing the Hardening Process of Lamellar Spring Sheets Using the Factorial Experiment Method
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-15944-2_5
Reference14 articles.
1. Hazir, E., Erdinler, E.S., Koc, K.H.: Optimization of CNC cutting parameters using design of experiment (DOE) and desirability function. J. Forest. Res. 29(5), 1423–1434 (2017). https://doi.org/10.1007/s11676-017-0555-8
2. KhairiFaiz, M., et al.: Effect of sand mold constraint on warpage deformation of lamellar graphite gray cast iron and prediction by elastoplastic-creep finite element analysis. J. Mater. Eng. Perform. 30(6), 4669–4680 (2021). https://doi.org/10.1007/s11665-021-05716-1
3. Cheerova, M.N., Komarova, T.V., Dubinskii, V.N.: Effect of initial structure on the characteristics of austenite formed under heat treatment of spring steels. Met. Sci. Heat Treat. 63(1–2), 11–17 (2021). https://doi.org/10.1007/s11041-021-00640-6
4. Derouiche, K., Garois, S., Champaney, V., Daoud, M., Traidi, K., Chinesta, F.: Data-driven modeling for multiphysics parametrized problems-application to induction hardening process. Metals. 11, 738 (2021)
5. Galetto, M., Genta, G., Maculotti, G., Verna, E.: Defect probability estimation for hardness-optimised parts by selective laser melting. Int. J. Precis. Eng. Manuf. 21(9), 1739–1753 (2020). https://doi.org/10.1007/s12541-020-00381-1
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