Elasto-Viscoplastic Behavior of the Ferritic Stainless Steel AISI 441-EN 1.4509 from Room Temperature to 850°C

2009 ◽  
pp. 168-168-6 ◽  
Author(s):  
Laurent Bucher ◽  
Pierre-Olivier Santacreu ◽  
Alain Köster ◽  
L. Remy
2015 ◽  
Vol 12 (3) ◽  
pp. 237-243 ◽  
Author(s):  
Samara Clotildes Saraiva Rodrigues ◽  
Diego Machado dos Santos ◽  
Ayrton de Sá Brandim ◽  
Maura Célia Cunha e Silva ◽  
Vanessa de Freitas Cunha Lins ◽  
...  

2013 ◽  
Vol 197 ◽  
pp. 162-167 ◽  
Author(s):  
Jacek Pietraszek ◽  
Aneta Gądek-Moszczak

The ferritic-austenitic stainless steel was obtained by sintering the mixture of ferritic stainless steel AISI 434L powders with different amount of additions: Mn, Ni and Si. The structure of obtained sintered samples was investigated by computer image analysis methods. In porous materials the character of the pore structure strongly effects on its mechanical properties. Accurate information about pores shape is important information for technological process and quality control of produced materials as well. The images of the porous microstructure were analyzed using ADCIS Aphelion analytical software. Analyzed pores have complex and irregular shapes and thus authors decided to appoint different shape factors to obtain its proper quantitative description. Data obtained from image analysis process were statistically analyzed. Authors used a special resampling approach known as smooth bootstrapping to smoothing cumulative empirical distributions. The results obtained during resampling procedure have been compared with raw data from verification set and guidelines for the application of the proposed approach have been formulated. The validity of the proposed approach was positively verified and it significantly improved quality of the results. The smoothing and imputing of data allow to avoid numerical artifacts that may arise during the classical statistical calculations on irregular data originated from image analysis obtained from sintered samples. Efficient, reliable and relatively fast method for accessing the distribution of any others quantitative parameters describing microstructure of the materials is very interesting proposal for wide spectrum of application.


2005 ◽  
Vol 473-474 ◽  
pp. 231-236 ◽  
Author(s):  
István Mészáros

Magnetic Barkhausen noise measurement (MBN) is a relatively new non-destructive detection technique. Its working principle is based on Barkhausen discontinuities or noise when a ferromagnetic material is subjected to a varying magnetic field. MBN is being used to characterise the stress state of a ferritic stainless steel (AISI 430). Other magnetic parameters such as saturation induction (BMax), remnant induction (BR), coercive field (HC) and maximal relative permeability (PMax) derived from the hysteresis loop have also been used to support the results achieved using MBN. Microstructural changes due to cold working and heat treatments were characterized by the applied magnetic measurements. The MBN technique was proved to be a useful non-destructive and quantitative method for microstuctural investigation of the investigated ferritic stainless steel.


2019 ◽  
Vol 105 ◽  
pp. 215-226
Author(s):  
Maria de Fátima Salgado ◽  
Iure S. Carvalho ◽  
Rafael S. Santos ◽  
João Alberto Santos Porto ◽  
O.V. Correa ◽  
...  

2012 ◽  
Vol 9 (2) ◽  
pp. 103436
Author(s):  
Pedro Duarte Antunes ◽  
Edmilson Otoni Corre^a ◽  
Nancy Delducca Barbedo ◽  
Paola de Oliveira Souza ◽  
José Luiz Gonçalves ◽  
...  

2019 ◽  
Vol 28 (10) ◽  
pp. 6391-6406 ◽  
Author(s):  
M. M. Z. Ahmed ◽  
Mohamed M. El-Sayed Seleman ◽  
Mostafa Shazly ◽  
Moataz M. Attallah ◽  
Essam Ahmed

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