Szczegóły publikacji

Opis bibliograficzny

Diffraction methods and scale transition model used to study evolution of intergranular stress and micro-damage phenomenon during elasto-plastic deformation / A. BACZMAŃSKI, S. WROŃSKI, E Gadalińska, Y. Zhao, L. Le Joncour, C. Braham, C. Scheffzük, P. Kot // W: MECA SENS 2017 : proceedings of the 9th international conference on Mechanical Stress Evaluation by Neutron and Synchrotron radiation : Kruger National Park, South Africa, 19–21 September 2017 / ed. by Deon Marais, Thomas M. Holden, Andrew M. Venter. — USA : Materials Research Forum LLC, cop. 2018. — ( Materials Research Proceedings ; ISSN  2474-3941 ; vol. 4 ). — ISBN: 978-1-94529166-1 ; e-ISBN: 978-1-94529167-8. — S. 3–8. — Tryb dostępu: http://www.mrforum.com/wp-content/uploads/open_access/9781945... [2018-06-01]. — Bibliogr. s. 8, Abstr.

Autorzy (8)

Słowa kluczowe

self consistent modeldiffraction measurementsyield conditionpolycrystalline materialdamage process

Dane bibliometryczne

ID BaDAP114243
Data dodania do BaDAP2018-06-13
DOI10.21741/9781945291678-1
Rok publikacji2018
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Creative Commons
Konferencja9th International conference on Mechanical Stress Evaluation by Neutron and Synchrotron Radiation
Czasopismo/seriaMaterials Research Proceedings

Abstract

A methodology combining diffraction experiments and self-consistent calculations was used to study the mechanical behaviour of groups of grains within two-phase polycrystalline materials. In this work, an Al/SiCp composite and duplex austenitic-ferritic steel are studied. The lattice strain evolution was determined from lattice strain measured in situ during tensile tests using neutron diffraction. The experimental results were used to study slip on crystallographic planes, localisation of stresses in polycrystalline grains and the mechanical effects of damage occurring during plastic deformation. For this purpose, a prediction made using the recently developed new version of the elasto-plastic self-consistent model was compared with the experimental data.

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