2219-O铝合金声软化效应建模与预测

doi:10.7527/S1000-6893.2022.26884

Abstract

Abstract:

The ultrasonic-assisted technology has been widely used in the metal manufacture process based on the softening effect of ultra-sonic energy. It was found by Electron Backscattered Diffraction （EBSD） observation that the grain size of the deformed materials under ultrasonic-assisted uniaxial tensile was increased. In view of this phenomenon， a strain-grain size relationship related to ultrasonic amplitude was established， and a model for the effect of grain size on the stress-strain curve was established based on the Hall-Patch relationship. The particle swarm optimization algorithm was used to identify parameters. Then， the model was used to forecast the acoustic softening effect of high ultrasonic amplitude uniaxial tensile process， and was verified by the ultrasonic uniaxial tensile test and EBSD observation of the 2219-O aluminum alloy. Further analysis shows that with the increase of strain， the tensile material would harden. The introduction of ultrasonic energy could offset the hardening in the uniaxial tensile process to a certain extent， and the offset effect was positively correlated with the ultrasonic amplitude. With the increase of ultrasonic amplitude， the grain size increased more significantly. Besides， under the same strain， the flow stress decreased with the increase of grain size. The quantitative analysis of model prediction shows that the tensile stress decreases about 6.5% when the ultra-sonic amplitude increased by 3 μm under the same strain.

Key words: acoustic softening effect, Hall-Patch relationship, particle swarm optimization, ultrasonic-assisted, uniaxial tensile test

CLC Number:

V261.7

Shuangli LI, Yixi ZHAO, Zhongqi YU, Junhui CUI, Linyuan KOU. Modeling and prediction of acoustic softening effect of 2219-O aluminum alloy[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(9): 626884-626884.

Figures/Tables 18

Table 1

Fig.1

Fig.2

Table 2

Fig.3

Fig.4

Table 3

Fig.5

Fig.6

Fig.7

Fig.8

Table 4

Model parameter values for 2219-O Al alloy

参数	数值
m_T^［23］	3
b^［23］/nm	0.285
r^［23］	0.015
µ^*/GPa	20
$σ i n *$ /MPa	5.6
ρ^*/（10¹³ m^-2）	7
$ρ g b *$ /（10¹⁵ m^-2）	5
λ^*	0.21
$β K *$	0.5
$n K *$	1
s^*/μm	1.5~3.0
l^*	1.2
β^*/MPa^-1	0.5
n^*	1
$Δ K h p r e f *$ /（MPa· $m$ ）	0.1
η^*/（10^-16 m^-2）	2.3
p^*	0.2
q^*	3.5
κ	71.43

Table 4

Fig.9

Fig.10

Fig.11

Fig.12

Table 5

Fig.13

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功率/%	振动频率/kHz	振幅/µm	声能密度/（J·m^-3）
0	0	0	0
10	20	3	4.17×10²
30	20	6	1.67×10³
50	20	9	3.76×10³

成分	含量/wt%	成分	含量/wt%
Al	91.5~93.8	Ti	0.02~0.10
Cu	5.8~6.8	V	0.05~0.15
Fe	≤ 0.30	Zn	≤ 0.10
Mg	≤ 0.02	Zr	0.10~0.25
Mn	0.20~0.40	其他每种成分	≤ 0.05
Si	≤ 0.20	其他所有成分	≤ 0.15

超声振幅/µm	弹性模量/GPa	屈服强度/MPa	抗拉强度/MPa	延伸率/%
0	55.9	253.4	387.1	28.3
3	53.1	218.8	360.0	26.2
6	49.4	210.4	335.5	19.8
9	51.6	157.1	318.1	18.8

试验条件	晶粒尺寸/μm
试验条件	无超声	超声振幅为3 µm	超声振幅为6 µm	超声振幅为9 µm
拉伸位移为1.5 mm	10.502	15.933	16.726	17.044
拉伸位移为3.0 mm	15.657	18.771	20.751	21.196
拉断	21.630	26.838	28.175	31.889

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Modeling and prediction of acoustic softening effect of 2219-O aluminum alloy

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