Regression Dependences of Mechanical Properties of Aluminum Alloys Exposed to Accelerated Argon Ion Beams

• Published in: Russian physics journal Vol. 65; no. 10; pp. 1657 - 1666
• Main Authors: Ovchinnikov, V. V., Gushchina, N. V., Mozharovsky, S. M.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01-02-2023; Springer; Springer Nature B.V
• Subjects: Algorithms; Aluminum; Aluminum alloys; Aluminum base alloys; Annealing; Argon ions; Cold rolling; Comparative analysis; Condensed Matter Physics; Copper; Fluence; Hadrons; Heavy Ions; Ion beams; Ion current density; Ion currents; Lasers; Magnesium; Manganese; Mathematical and Computational Physics; Mechanical properties; Nuclear Physics; Optical Devices; Optics; Parameters; Photonics; Physics; Physics and Astronomy; Radiation; Radiation effects; Regression; Theoretical; ion irradiation; annealing; aluminum alloy; mechanical properties; cold rolling; regression analysis
• ISSN: 1064-8887; 1573-9228
• DOI: 10.1007/s11182-023-02815-5

The paper focuses on the data related to the nature of changes in mechanical properties of 1–3 mm thick coldworked sheets made of commercial AMg6 (Al–Mg), VD1 (Al–Cu–Mg–Mn), 1441 (Al–Li–Cu–Mg) alloys, depending on the conditions of their radiation annealing by accelerated argon ion beams in the energy E range of 20–40 keV, ion current density j of 100–400 μA/cm
2
, and fluence F of 1·10
15
–7.5·10
17
cm
–2
. It is shown that the annealing process multiply accelerates (by 10
2
–10
3
times and more) under the conditions of the ion beam radiation exposure as compared to the standard process of intermediate (between cold rolling operations) thermal annealing of the same alloys. The algorithm is developed and regression dependences are constructed to describe the behavior of σ
u
, σ
0.2
and δ mechanical properties of these alloys as a function of the radiation parameters E, j and F. The obtained equations of regression allow the said properties to be designed without an experiment, for arbitrary values of E, j and F parameters, with an accuracy determined by an observation error.