Neural network analysis of the influence of processing on strength and ductility of automotive low carbon sheet steels-Reference-Cited by-同舟云学术

Neural network analysis of the influence of processing on strength and ductility of automotive low carbon sheet steels

Published:2006-11 Issue:1 Volume:38 Page:192-201
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Capdevila C.,Garcia-Mateo C.,Caballero F.G.,García de Andrés C.

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference12 articles.

1. A. Pichler, H. Spindler, C. Van Durme, P.E. Di Nunzio, K. Spiradek, W. Bleck, S. Greisler, Precipitation behaviour in the ferrite range of soft microalloyed ULC steel grades, final report, ECSC 7210-EC/119, EU, Brussels, 2000.

2. W. Bleck, C. Van Dume, S.D. Daniel, W.B. Hutchinson, H.J. Grabke, G.N. Haidemenopoulos, P. Stiaszny, New cold-rooled deep-drawing qualities, ECSC 7210-EC/115, EU, Brussels, 1999.

3. P.J. Evans, I. Gutieerez, M.M. Petite, J.I. Larburu, J. Zaitegui, W.B. Hutchinson, D. Artymowicz, G.J. Spurr, H.K.D.H. Bhadeshia, N. Chester, Modelling of microstructural development during continuous annealing process, ECSC 7210-EU/808, EU, Brussels, 1998.

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Approach for Automated Explanation of Material Phenomena (AA6082) Using Artificial Neural Networks and ChatGPT;Applied Sciences;2024-08-09

2. Effects of Foil Thickness to Grain Size (t/d) Ratio and Prestraining on Tensile Response, Microformability and Crystallographic Texture of Ultra-Low Carbon Steel Thin Foils;Metals and Materials International;2023-09-04

3. Contour Maps for Simultaneous Increase in Yield Strength and Elongation of Hot Extruded Aluminum Alloy 6082;Metals;2022-03-09

4. Fatigue Fracture and Optimization Design of Low Carbon Steel Bracket for Automotive Engine Application;Proceedings of China SAE Congress 2020: Selected Papers;2022

5. A model for predicting the tensile strength of ultrafine glass fiber felts with mathematics and artificial neural network;The Journal of The Textile Institute;2020-06-16