Characterization of double strain-hardening behavior using a new flow of extremum curvature strain of Voce strain-hardening model

Byun, JongBok; Jee, Chang-Woon; Seo, IlDong; Joun, Man Soo

doi:10.1007/s12206-022-0730-5

Cited by 5 publications

(1 citation statement)

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“…Ludwik model increases the slope at a larger strain relative to Swift model because the strain hardening exponent of the former is greater than the latter in the case of a typical strain hardening material. [ 40 ] Voce model can play a role in limiting the flow stress at larger strain. Hollomon model can contribute to representing the sharp increase of flow curve at the small strain and to decreasing smoothly the strain hardening at larger strain.…”

Section: Introductionmentioning

confidence: 99%

General Blending Approach of Fundamental Cold Flow Models for an Almost Complete Cold Flow Model in Terms of Tensile Test

Byun

Jee

Lee³

et al. 2023

steel research int.

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The importance of two major issues in obtaining an almost complete cold flow model (ACCFM) from a tensile test, that is, the necking conditions (including the Considère condition and tensile strength) and several selected representative flow points in both pre‐ and postnecking strain hardening regions, is emphasized. It is shown using the AISI 1010 steel for automatic multistage cold forging (AISI 1010 equivalent) that all the traditional fundamental flow models (FFMs) such as the Ludwik, Voce, Hollomon, and Swift models cannot simultaneously satisfy the two major issues. A general blended flow model (BFM) is proposed, which is a linear combination of known basis blending functions satisfying the necking conditions. The number of basis blending functions is unconstrained. The constants of the linear combination, called blending coefficients, are calculated by a set of linear equations to meet the selected representative flow points. Numerous combinations of basis flow functions are tried. It has been shown that there is no interpolation case among all the obtained BFMs but that there are a few ACCFM‐acceptable cases among them, which are based on the extrapolation of the basis blending functions.

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Section: Introductionmentioning

confidence: 99%