Pregled bibliografske jedinice broj: 1269820
Statistical analysis of different mathematical models for stress-strain curves of AISI 321 stainless steel
Statistical analysis of different mathematical models for stress-strain curves of AISI 321 stainless steel // Metalurgija, 62 (2023), 3-4; 391-393 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1269820 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Statistical analysis of different mathematical models for stress-strain
curves of AISI 321 stainless steel
(Statistical analysis of different mathematical
models for stress-strain curves of AISI 321
stainless steel)
Autori
Cumin, Josip ; Novoselović, Daniel ; Samardžić, Mijat ; Samardžić, Iva
Izvornik
Metalurgija (0543-5846) 62
(2023), 3-4;
391-393
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
AISI 321, true stress, true strain, mathematical model, statistical analysis
Sažetak
This paper presents statistical analysis of data obtained by uniaxial tensile testing of AISI 321 stainless steel. This data is required as material input in numerical software such as Abaqus, Ansys, MSC Marc, Nastran, ets. This data can be provided in the software as a set of points (piecewise linear model) that is cumbersome to enter, or it can be provided as mathematical model, in the case of which the Finite Element Method (FEM) sotware calculates desired points directly from the mathematical model. Various mathematical models can be used to approximate tensile test data depending on the material loading state (linear, elasto-plastic, plastic). In this paper, the same uniaxial test data is analyzed, and curve fitting parameters are shown for each mathematical model.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Strojarski fakultet, Slavonski Brod,
Sveučilište u Slavonskom Brodu
Profili:
Mijat Samardžić
(autor)
Daniel Novoselović
(autor)
Iva Samardžić
(autor)
Josip Cumin
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus