Artificial intelligence modeling of induction contour hardening of 300M steel bar and C45 steel spur-gear
Author:
Funder
TRANSFUGE
Publisher
Springer Science and Business Media LLC
Subject
General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s12289-023-01748-1.pdf
Reference53 articles.
1. Haimbaugh RE (2015) Practical induction heat treating. ASM international
2. Qiu G, Zhan D, Li C, Yang Y, Qi M, Jiang Z, Zhang H (2020) Effects of yttrium and heat treatment on the microstructure and mechanical properties of clam steel. J Mater Eng Perform 29(1):42–52
3. Celada-Casero C, Huang B, Yang J-R, San-Martin D (2019) Microstructural mechanisms controlling the mechanical behaviour of ultrafine grained martensite/austenite microstructures in a metastable stainless steel. Mater Des 181:107922
4. Hömberg D, Liu Q, Montalvo-Urquizo J, Nadolski D, Petzold T, Schmidt A, Schulz A (2016) Simulation of multi-frequency-induction-hardening including phase transitions and mechanical effects. Finite Elem Anal Des 121:86–100
5. Maresca F, Kouznetsova V, Geers M, Curtin W (2018) Contribution of austenite-martensite transformation to deformability of advanced high strength steels : from atomistic mechanisms to microstructural response. Acta Mater 156:463–478
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1. Explaining hardness modeling with XAI of C45 steel spur-gear induction hardening;International Journal of Material Forming;2023-08-29
2. Evolutionary Optimizing Process Parameters in the Induction Hardening of Rack Bar by Response Surface Methodology and Desirability Function Approach under Industrial Conditions;Materials;2023-08-24
3. Data-Driven Inverse Problem for Optimizing the Induction Hardening Process of C45 Spur-Gear;Metals;2023-05-21
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