Hot Deformation Characterization of Pure Aluminum Using artificial neural network (ANN) and Processing Map Considering Initial Grain Size

다국어 초록 (Multilingual Abstract)

In this investigation, processing maps and artificial neural network (ANN) models were carried out to describe and predictthe flow behavior of pure aluminum at various initial grain sizes in the hot working conditions. The elevated temperatureflow behavior of AA1070 aluminum was done through isothermal hot compressive tests in a large range of initial grain size(IGS) (50–450 μm), strain rate (0.005–0.5 s−1) and temperature (623–773 K). Consequences showed that the flow stress canbe remarkably influenced by the initial grain size at high temperatures. Based on the results, the ANN model trained witha feed-forward back-propagation learning algorithm which was prepared to describe the flow behavior of pure aluminumat the elevated temperatures. In which the initial grain size, strain, temperature and strain rate were taken as input data andtrue stress was used as target data. The results showed that the developed ANN model was a powerful method to predictthe complex non-linear of the hot flow behavior of pure aluminum. The processing map was plotted and analyzed via thedynamic material model as “stable” and “unstable” regions were determined by observing the microstructure evolution.
Based on this, The optimum ranges for temperature and strain rate were 623–773 K and 0.05 s−1 respectively, for fine-grainedmicrostructure (lower than 50 μm) and were 650–720 K and 0.005–0.5 s−1 respectively, for coarse-grained microstructures(over than 50 μm).

참고문헌 (Reference)

1 R. K. Roy, 41 : 289-292, 2006

2 Y. C. Lin, 35 : 142-150, 2008

3 H. R. Rezaei Ashtiani, 545 : 61-67, 2012

4 S. Liu, 54 : 4366-4383, 2019

5 H. J. McQueen, 322 : 43-63, 2002

6 Y. C. Lin, 32 : 1733-1759, 2011

7 K. Li, 28 : 981-994, 2019

8 S. A. Sani, 6 : 134-144, 2018

9 A. Bahrami, 34 : 335-341, 2005

10 K. Singh, 6 : 1-8, 2016

11 Y. C. Lin, 43 : 5508-5515, 2008

12 G. Ji, 528 : 4774-4782, 2011

13 H. Y. Li, 35 : 557-562, 2012

14 N. S. Reddy, 492 : 276-282, 2008

15 O. Sabokpa, 39 : 390-396, 2012

16 M. El Mehtedi, 79 : 661-666, 2019

17 M. C. Dixit, 4 : 1964-1971, 2017

18 N. Haghdadi, 49 : 386-391, 2013

19 Z. Lu, 38 : 192-197, 2011

20 L. F. Guo, 23 : 1761-1765, 2013

21 M. T. Anaraki, 29 : 1701-1706, 2008

22 M. Muthu Krishnan, 5 : 716-723, 2018

23 R. G. Song, 3 : 39-41, 1995

24 C. Bruni, 177 : 323-326, 2006

25 I. S. Jalham, 63 : 63-67, 2003

26 H. R. Rezaei Ashtiani, 687 : 263-273, 2016

27 J. Zhang, 34 : 15-21, 2012

28 C. Yue, 45 : 462-466, 2009

29 A. Jain, 486 : 545-555, 2008

30 Y. Yang, 51 : 592-597, 2013

31 A. Belyakov, 51 : 847-861, 2003

32 G. Mann, 378 : 188-191, 2004

33 H. R. Rezaei Ashtiani, 42 : 478-485, 2012

34 A. G. Beer, 423 : 292-299, 2006

35 M. R. Barnett, 51 : 19-24, 2004

36 M. H. Parsa, 52 : 412-421, 2013

37 H. Liang, 638 : 357-362, 2015

38 Y. B. Tan, 454 : 413-420, 2014

39 Y. Prasad, 43 : 243-258, 1998

40 H. He, 160 : 293-302, 2019

41 M. R. Rokni, 32 : 2339-2344, 2011

42 P. Cavaliere, 55 : 136-142, 2005

43 Y. Han, 565 : 342-350, 2013

44 D. Samantaray, 528 : 8565-8572, 2011

45 H. Sun, 19 : 1600607-, 2017

46 M. S. Ozerdem, 199 : 437-439, 2008

47 Y. Han, 67 : 93-103, 2013

48 J. Liu, 103 : 200-205, 2000

49 J. D. Olden, 154 : 135-150, 2002

50 D. G. Garson, 6 : 47-51, 1991

51 I. Dimopoulos, 120 : 157-165, 1999

52 M. Scardi, 120 : 213-223, 1999

53 A. Mohamadizadeh, 107 : 293-301, 2015

54 S. Zhu, 25 : 3232-3239, 2015

55 B. Li, 556 : 844-848, 2012

56 H. R. Ezatpour, 606 : 240-247, 2014

57 D. X. Wen, 620 : 319-332, 2014

58 B. Ke, 845 : 156113-, 2020

59 H. Zhang, 21 : 955-961, 2011

60 H. R. Rezaei Ashtiani, 100 : 209-218, 2016

61 Y. Sun, 742 : 356-368, 2018

62 Y. Zhang, 662 : 320-329, 2016

63 S. Wang, 225 : 110-121, 2015

64 K. K. Saxena, 662 : 94-101, 2016

65 F.J. Humphreys, "Recrystallization and Related Annealing Phenomena" Elsevier 415-450, 2004

66 H. Ziegler, "Progress in Solid Mechanics" Wiley 63-193, 1963

67 B. Verlinden, "Pergamon Materials Series, vol. 11" Elsevier 365-404, 2007

68 Y.V.R.K. Prasad, "Hot Working Guide: A Compendium of Processing Maps" ASM international 1997

69 G. E. Totten, "Handbook of Aluminum: Vol. 1: Physical Metallurgy and Processes" CRC Press 2003

70 C.L.P. Hui, "Artifcial Neural Networks - Application" IntechOpen 2011