Toward an intelligent approach for predicting surface tension of binary mixtures containing ionic liquids

다국어 초록 (Multilingual Abstract)

Knowledge of the surface tension of ionic liquids (ILs) and their related mixtures is of central importance and enables engineers to efficiently design new processes dealing with these fluids on an industrial scale. It’s obvious that experimental determination of surface tension of every conceivable IL and its mixture with other compounds would be a herculean task. Besides, experimental measurements are intrinsically laborious and expensive; therefore, accurate prediction of the property using a reliable technique would be overwhelmingly favorable. To do so, a modeling method based on artificial neural network (ANN) trained by Bayesian regulation back propagation training algorithm (trainbr) has been proposed to predict surface tension of the binary ILs mixtures. A total set of 748 data points of binary surface tension of IL systems within temperature range of 283.1-348.15 K was used to train and test the applied network. The obtained results indicated that the predictive values and experimental data are quite matching, representing reliability of the used ANN model for such purpose. Also, compared with other methods, such as SVM, GA-SVM, GA-LSSVM, CSA-LSSVM, GMDH-PNN and ANN trained with trainlm algorithm the proposed model was better in terms of accuracy.

참고문헌 (Reference)

1 M.-A. Ahmadi, 97 : 81-, 2015

2 M. A. Ahmadi, 92 : 60-, 2014

3 A. Ahosseini, 55 : 1611-, 2009

4 N. Altinkok, 25 : 595-, 2004

5 R. Bini, 10 : 306-, 2008

6 R. B. Boozarjomehry, 231 : 188-, 2005

7 A. J. Costa, 56 : 3433-, 2011

8 N. Darwish, 85 : 417-, 2007

9 Q. Dong, 52 : 1151-, 2007

10 A. Eslamimanesh, 66 : 3039-, 2011

11 R. Eslamloueyan, 48 : 1094-, 2009

12 R. Eslamloueyan, 54 : 922-, 2009

13 M.-R. Fatehi, 95 : 60-, 2014

14 F. l.M. Gacino, 56 : 4984-, 2011

15 G. Garcia-Miaja, 41 : 161-, 2009

16 M. Geppert-Rybczynska, 62 : 104-, 2013

17 F. Gharagheizi, 66 : 2959-, 2011

18 F. Gharagheizi, 59 : 613-, 2013

19 F. Gharagheizi, 66 : 4991-, 2011

20 F. Gharagheizi, 78 : 204-, 2012

21 A. Golbraikh, 20 : 269-, 2002

22 K. Golzar, 53 : 7247-, 2014

23 K.R. Harris, 51 : 1161-, 2006

24 M. Hashemkhani, 211 : 534-, 2015

25 X. He, 238 : 52-, 2005

26 J. Hekayati, 231 : 451-, 2017

27 A.Z. Hezave, 352 : 34-, 2013

28 A.Z. Hezave, 314 : 128-, 2012

29 A. Z. Hezave, 51 : 9886-, 2012

30 H. Jiang, 64 : 1-, 2013

31 G.W. Kauffman, 41 : 408-, 2001

32 F. Kermanpour, 48 : 129-, 2012

33 M. Lashkarblooki, 326 : 15-, 2012

34 M. Lashkarbolooki, 52 : 1454-, 2017

35 M. Lashkarbolooki, 324 : 102-, 2012

36 M. Lashkarbolooki, 73 : 108-, 2013

37 M. Lashkarbolooki, 75 : 144-, 2013

38 M. Lashkarbolooki, 343 : 24-, 2013

39 S. Laugier, 210 : 247-, 2003

40 J.A. Lazzus, 40 : 213-, 2009

41 H. Machida, 56 : 923-, 2010

42 M. Mirarab, 371 : 6-, 2014

43 S. Mohanty, 29 : 243-, 2006

44 A. Mohebbi, 31 : 1317-, 2008

45 F. Nami, 43 : 22-, 2011

46 H. Okuyucu, 28 : 78-, 2007

47 M. Oliveira, 116 : 12133-, 2012

48 M. S. Ozerdem, 208 : 470-, 2008

49 P. Pratim Roy, 14 : 1660-, 2009

50 E. Rilo, 49 : 165-, 2012

51 E. Rilo, 285 : 83-, 2009

52 A.A. Rohani, 38 : 1738-, 2011

53 T. Ross, 81 : 501-, 1996

54 M. Sadrzadeh, 48 : 1371-, 2009

55 M. Sadrzadeh, 144 : 431-, 2008

56 M. Safamirzaei, 332 : 165-, 2012

57 M. Safamirzaei, 545 : 125-, 2012

58 M.A. Sedghamiz, 9 : 39-, 2015

59 S. Seki, 57 : 2211-, 2012

60 A. Shafiei, 95 : 525-, 2014

61 R. Soleimani, 242 : 701-, 2017

62 Z. Sterjovski, 170 : 536-, 2005

63 M. Tariq, 41 : 829-, 2012

64 J. Taskinen, 55 : 1163-, 2003

65 J. S. Torrecilla, 93 : 149-, 2008

66 J. S. Torrecilla, 10 : 5826-, 2008

67 J. Troncoso, 51 : 1856-, 2006

68 S. Urata, 199 : 63-, 2002

69 G. Vakili-Nezhaad, 54 : 148-, 2012

70 L. F. Vega, 294 : 15-, 2010

71 A. Wandschneider, 53 : 596-, 2008

72 J.-y. Wang, 43 : 800-, 2011

73 J.-Y. Wang, 305 : 114-, 2011

74 Y. Wei, 55 : 2616-, 2010

75 Pablo Díaz-Rodríguez, "Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model" 한국공업화학회 21 (21): 1350-1353, 2015

76 G. Betts, "Verification and validation of food spoilage models, Understanding and measuring shelf life of food" CRC Press 184-, 2004

77 B. E. Poling, "The properties of gases and liquids" Mcgraw-hill 2001

78 P. J. Carvalho, "Surface tensions for the 1-alkyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide ionic liquids" 2008

79 A. Kazakov, "Nist standard reference database 147: Nist ionic liquids database-(ilthermo), version 2.0"

80 P. J. Linstrom, "Nist Chemistry Webbook; nist standard reference database no. 69"

81 S. Haykin, "Neural networks: A comprehensive foundation" Macmillan college publishing company 1994

82 D.R. Baughman, "Neural networks in bioprocessing and chemical engineering" Academic Press 2014

83 J. Zupan, "Neural networks for chemists: An introduction" John Wiley & Sons, Inc 1993

84 H. Demuth, "Neural network toolboxTM 6, User's guide" 37-, 2008

85 B.N.K. L. Ding, "Neural network fundamentals with graphs, algorithms and applications" Mac Graw-Hill 1996

86 K. A. Al-Shayji, "Modeling, simulation, and optimization of large-scale commercial desalination plants" 1998

87 G. Meindersma, "Ionic liquids. Ullmann's encyclopedia of industrial chemistry" Wiley-VCH Verlag GmbH & Co. KGaA 2000

88 Saeid Atashrouz, "Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures" 한국화학공학회 34 (34): 425-439, 2017

89 S.G. Makridakis, "Forecasting methods for management" 1989

90 S. Makridakis, "Forecasting methods and applications" John Wiley & Sons 2008

91 I. H. Witten, "Data mining: Practical machine learning tools and tec" Morgan Kaufmann 2016

92 Mostafa Lashkarbolooki, "Correlation of density for binary mixtures of methanol+ionic liquids using back propagation artificial neural network" 한국화학공학회 30 (30): 213-220, 2013

93 P. Mehra, "Artificial neural networks: Concepts and theory" IEEE Computer Society Press 1992

94 Y. Miao, "Artificial neural network model to predict compositional viscosity over a broad range of temperatures" IEEE 668-, 2010

95 M. Freemantle, "An introduction to ionic liquids" 2010

96 J.A. Freeman, "Algorithms, applications, and programming techniques" Addison-Wesley Publishing Company 1991