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Large strain flow curve characterization considering strain rate and thermal effect for 5182-O aluminum alloy

  • 30th Anniversary of the Korean Society for Technology of Plasticity
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Abstract

This research aims to characterize the effect of strain rate and temperature on flow behaviours under large plastic deformation for 5182-O aluminum alloy. Experiments are conducted with both dogbone and notched specimens at different strain rates and temperatures. All tests are analyzed by inverse engineering to identify the strain hardening behaviour at large plastic strains up to fracture. The experimental results show the highly coupling effect of strain rate and temperature. The two hardening laws of Swift-Voce model and p-model are calibrated by the finite element model update procedure, and the combination with the smallest error is selected as the input set of the artificial neural network (ANN) model. Then the dynamic hardening behaviours are modelled by the ANN to consider the highly coupled effect. The calibrated ANN model is further applied to ABAQUS/Explicit for numerical simulation under different loading conditions. Taking the finite element calculation time and prediction accuracy into consideration, the ANN model with single hidden layer optimized by particle swarm optimization algorithm is finally selected. The calibration results of the selected ANN model have the best consistency with an acceptable level of numerical computation time.

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Acknowledgements

The authors also acknowledge the financial supports by the National Natural Science Foundation of China (Grant No. 52075423), the State Key Laboratory of Mechanical System and Vibration (Grant No. MSV202009), and the State Key Laboratory of High Performance Complex Manufacturing (Grant No. Kfkt2019-02).

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Authors and Affiliations

  1. School of Mechanical Engineering, Xi’an Jiaotong University, 28 Xianning West Road, 710049, Xi’an, Shaanxi, China

    Hongchun Shang, Chong Zhang, Songchen Wang & Yanshan Lou

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  1. Hongchun Shang
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Correspondence to Yanshan Lou.

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Supplementary Material 1

Appendix A. Calibrated parameters of two hardening models

Appendix A. Calibrated parameters of two hardening models

Swift-Voce model

  

K

ɛ0

n

A

B

C

300 K

0.001/s

329.22

0.0058

0.3736

536.80

207.16

9.5117

0.01/s

321.38

0.0044

0.3639

508.96

189.88

11.349

0.1/s

296.09

0.0093

0.3839

496.86

193.09

13.310

1/s

357.43

0.0073

0.3300

449.75

171.46

12.587

373 K

0.001/s

464.62

0.0069

0.2738

426.85

146.09

6.5699

0.01/s

410.64

0.0047

0.3470

468.72

201.30

9.5559

0.1/s

245.75

0.0296

0.2927

502.22

192.86

11.565

1/s

604.78

0.0082

0.2680

227.76

109.34

29.467

423 K

0.001/s

529.02

0.0066

0.4110

276.39

194.67

13.007

0.01/s

324.22

0.0035

0.3531

458.41

241.24

7.5186

0.1/s

335.81

0.0073

0.3844

448.96

203.29

12.791

1/s

303.95

0.0085

0.3884

442.91

199.66

15.045

473 K

0.001/s

422.44

0.0053

0.4000

218.93

175.14

18.458

0.01/s

416.67

0.0091

0.4483

295.66

214.03

11.151

0.1/s

367.37

0.0061

0.3915

362.32

207.88

17.840

1/s

327.20

0.0083

0.3414

378.94

215.46

21.157

523 K

0.001/s

297.24

0.0005

0.2436

122.28

158.73

16.447

0.01/s

419.12

0.0041

0.3424

195.34

155.24

6.7202

0.1/s

390.67

0.0046

0.3632

239.01

187.16

28.470

1/s

308.31

0.0061

0.3370

319.59

205.61

16.095

573 K

0.001/s

246.33

0.00002

0.2587

100.12

144.23

41.066

0.01/s

425.91

0.0101

0.3829

84.721

145.56

17.087

0.1/s

390.94

0.0057

0.3844

195.18

152.38

4.7541

1/s

359.41

0.0011

0.2874

219.27

125.04

12.501

p-model

  

K

ɛ0

n

ɛmax

Q

p

300 K

0.001/s

561.40

0.0083

0.3245

0.11

116.67

6.6008

0.01/s

572.40

0.0061

0.3329

0.11

91.898

8.7197

0.1/s

560.32

0.0080

0.3312

0.11

76.900

10.077

1/s

543.01

0.0065

0.3182

0.19

31.664

16.544

373 K

0.001/s

514.87

0.0060

0.2926

0.18

119.04

4.1582

0.01/s

532.44

0.0070

0.2914

0.24

150.60

2.7750

0.1/s

451.93

0.0007

0.2295

0.18

135.57

2.8582

1/s

428.65

0.000004

0.2013

0.20

42.859

7.2813

423 K

0.001/s

388.73

0.0051

0.2256

0.28

351.75

0.6491

0.01/s

416.17

0.0027

0.2188

0.13

130.86

3.3693

0.1/s

474.89

0.0042

0.2702

0.15

63.979

7.8474

1/s

444.06

0.0032

0.2463

0.14

56.294

8.4066

473 K

0.001/s

285.11

0.0011

0.1793

0.12

143.71

1.9774

0.01/s

308.06

0.0010

0.1643

0.10

182.83

1.8083

0.1/s

324.20

0.0008

0.1449

0.08

198.70

2.0204

1/s

325.85

0.0008

0.1313

0.07

183.88

2.1703

523 K

0.001/s

206.12

0.0201

0.1557

0.09

118.85

1.7351

0.01/s

225.23

0.0026

0.1094

0.05

180.26

1.8348

0.1/s

277.31

0.0016

0.1412

0.10

125.80

2.1943

1/s

350.96

0.0087

0.2119

0.04

90.690

8.8691

573 K

0.001/s

129.21

0.0197

0.1005

0.09

72.214

1.2626

0.01/s

198.88

0.0109

0.1493

0.10

164.01

1.1483

0.1/s

247.26

0.0059

0.1776

0.09

177.84

1.6027

1/s

260.77

0.0003

0.1562

0.09

151.42

1.8904

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Shang, H., Zhang, C., Wang, S. et al. Large strain flow curve characterization considering strain rate and thermal effect for 5182-O aluminum alloy. Int J Mater Form 16, 1 (2023). https://doi.org/10.1007/s12289-022-01721-4

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