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International Journal of Mechanics and Materials in Design

Published in:

01-03-2015

An integrated computational approach for determining the elastic properties of boron nitride nanotubes

Authors: V. Vijayaraghavan, A. Garg, C. H. Wong, K. Tai, Pravin M. Singru

Published in: International Journal of Mechanics and Materials in Design | Issue 1/2015

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Abstract

An integrated computational approach is proposed to investigate the compressive strength of boron nitride nanotubes (BNNTs). In this approach, an artificial intelligence (AI) cluster comprising of multi-gene genetic programming and molecular dynamics (MD) simulation technique, was specifically designed to formulate the explicit relationship of compressive strength of BNNTs with respect to system aspect ratio (AR), temperature and vacancy defects. It was found that the novel MD based AI model is able to model the compressive strength of BNNTs very well, which is in good agreement with that of experimental results obtained from the literature. Additionally, we also conducted sensitivity and parametric analysis to find out specific influence and variation of each of the input system parameters on the compressive strength of BNNTs. It was found that the AR has the most dominating influence on the compressive strength of BNNTs.

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Albe, K., Möller, W.: Modelling of boron nitride: atomic scale simulations on thin film growth. Comput. Mater. Sci. 10(1–4), 111–115 (1998)CrossRef

Albe, K., Möller, W., Heinig, K.-H.: Computer simulation and boron nitride. Radiat. Eff. Defects Solids 141(1–4), 85–97 (1997)CrossRef

Cevik, A., et al.: Soft computing based formulation for strength enhancement of CFRP confined concrete cylinders. Adv. Eng. Softw. 41(4), 527–536 (2010)CrossRefMATH

Del Turco, S., et al.: Cytocompatibility evaluation of glycol-chitosan coated boron nitride nanotubes in human endothelial cells. Colloids Surf. B 111, 142–149 (2013)CrossRef

Ebrahimi-Nejad, S., Shokuhfar, A.: Compressive buckling of open-ended boron nitride nanotubes in hydrogen storage applications. Physica E 50, 29–36 (2013)CrossRef

Ebrahimi-Nejad, S., et al.: Effects of structural defects on the compressive buckling of boron nitride nanotubes. Physica E 48, 53–60 (2013)CrossRef

Ferreira, T.H., et al.: Boron nitride nanotubes coated with organic hydrophilic agents: stability and cytocompatibility studies. Mater. Sci. Eng. C 33(8), 4616–4623 (2013)CrossRef

Gandomi, A.H., Alavi, A.H.: Multi-stage genetic programming: a new strategy to nonlinear system modeling. Inf. Sci. 181(23), 5227–5239 (2011)CrossRef

Garg, A., Tai, K.: Genetic programming for modeling vibratory finishing process: role of experimental designs and fitness functions. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds.) SEMCCO 2013—Proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing—Part II, Chennai, India, 19–21 December 2013, Lecture Notes in Computer Science, vol. 8298, pp. 23–31. Springer (2013)

Garg, A., et al.: An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material. Simul. Model. Pract. Theory 44, 1–13 (2014a)CrossRef

Garg, A., et al.: Performance evaluation of microbial fuel cell by artificial intelligence methods. Expert Syst. Appl. 41(4), 1389–1399 (2014b)CrossRef

Garg, A., Tai, K., Savalani, M.: State-of-the-art in empirical modelling of rapid prototyping processes. Rapid Prototyping J. 20(2), 164–178 (2014c)CrossRef

Garg, A., Garg, A., Tai, K.: A multi-gene genetic programming model for estimating stress-dependent soil water retention curves. Comput. Geosci. 18(1), 45–56 (2014d)

Garg, A., Tai, K., Savalani, M.: Formulation of bead width model of an SLM prototype using modified multi-gene genetic programming approach. Intl. J. Adv. Manuf. Technol. (2014e). doi:10.1007/s00170-014-5820-9

Garg, A., Tai, K., Gupta, A.: A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304. Meccanica 49(5), 1193–1209 (2014f)

Garg, A., et al.: Estimation of factor of safety of rooted slope using an evolutionary approach. Ecol. Eng. 64, 314–324 (2014g)

Garg, A., et al.: An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes. Eng. Appl. Artif. Intell. 30, 30–40 (2014h)

Griebel, M., Hamaekers, J.: Molecular dynamics simulations of boron-nitride nanotubes embedded in amorphous Si–B–N. Comput. Mater. Sci. 39(3), 502–517 (2007)CrossRef

Hinchliffe, M., et al.: Modelling chemical process systems using a multi-gene genetic programming algorithm. Late Breaking Paper, Gp’96. pp. 28–31. Stanford, USA (1996)

Hoover, W.G.: Canonical dynamics—equilibrium phase-space distributions. Phys. Rev. A 31(3), 1695–1697 (1985)CrossRef

Koza, J.R.: Genetic programming as a means for programming computers by natural selection. Stat. Comput. 4(2), 87–112 (1994)CrossRef

Liew, K.M., Yuan, J.: High-temperature thermal stability and axial compressive properties of a coaxial carbon nanotube inside a boron nitride nanotube. Nanotechnology 22(8), 085701 (2011)CrossRef

Liew, K.M., et al.: Nanomechanics of single and multiwalled carbon nanotubes. Phys. Rev. B 69(11), 115429 (2004)CrossRef

Lu, H., Lei, M., Leng, J.: Significantly improving electro-activated shape recovery performance of shape memory nanocomposite by self-assembled carbon nanofiber and hexagonal boron nitride. J. Appl. Polym. Sci. (2014). doi:10.1002/app.40506

Mohajeri, A., Omidvar, A.: Density functional theory study on the static dipole polarizability of boron nitride nanotubes: single wall and coaxial systems. J. Phys. Chem. C 118(3), 1739–1745 (2014)CrossRef

Nose, S.: A unified formulation of the constant temperature molecular-dynamics methods. J. Chem. Phys. 81(1), 511–519 (1984)CrossRef

Searson, D.P., Leahy, D.E., Willis, M.J.: GPTIPS: an open source genetic programming toolbox for multigene symbolic regression. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, Citeseer (2010)

Shokuhfar, A., et al.: The effect of temperature on the compressive buckling of boron nitride nanotubes. Phys. Status Solidi A 209(7), 1266–1273 (2012)CrossRef

Tang, D.M., et al.: Mechanical properties of bamboo-like boron nitride nanotubes by in situ TEM and MD simulations: strengthening effect of interlocked joint interfaces. ACS Nano 5(9), 7362–7368 (2011)CrossRef

Tersoff, J.: New empirical approach for the structure and energy of covalent systems. Phys. Rev. B 37(12), 6991–7000 (1988)CrossRef

Vijayaraghavan, V., Wong, C.: Temperature, defect and size effect on the elastic properties of imperfectly straight carbon nanotubes by using molecular dynamics simulation. Comput. Mater. Sci. 71, 184–191 (2013a)CrossRef

Vijayaraghavan, V., Wong, C.H.: Shear deformation characteristics of single walled carbon nanotube with water interactions by using molecular dynamics simulation. Physica E 54, 206–213 (2013b)CrossRef

Vijayaraghavan, V., Wong, C.H.: Nanomechanics of single walled carbon nanotube with water interactions under axial tension by using molecular dynamics simulation. Comput. Mater. Sci. 79, 519–526 (2013c)CrossRef

Vijayaraghavan, V., Wong, C.H.: Temperature, defect and size effect on the elastic properties of imperfectly straight carbon nanotubes by using molecular dynamics simulation. Comput. Mater. Sci. 71, 184–191 (2013d)CrossRef

Vijayaraghavan, V., Wong, C.H.: Transport characteristics of water molecules in carbon nanotubes investigated by using molecular dynamics simulation. Comput. Mater. Sci. 89, 36–44 (2014)CrossRef

Vijayaraghavan, V., et al.: Estimation of mechanical properties of nanomaterials using artificial intelligence methods. Appl. Phys. A (2013a). doi:10.1007/s00339-013-8192-3

Vijayaraghavan, V., et al.: Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach. J. Nanostruct. Chem. 3(1), 83 (2013b)CrossRef

Vijayaraghavan, V., et al.: Measurement of properties of graphene sheets subjected to drilling operation using computer simulation. Measurement 50, 50–62 (2014)CrossRef

Wang, J., Lee, C.H., Yap, Y.K.: Recent advancements in boron nitride nanotubes. Nanoscale 2(10), 2028–2034 (2010)CrossRef

Wong, C.H.: Elastic properties of imperfect single-walled carbon nanotubes under axial tension. Comput. Mater. Sci. 49(1), 143–147 (2010)CrossRef

Wong, C.H., Vijayaraghavan, V.: Nanomechanics of nonideal single- and double-walled carbon nanotubes. J. Nanomater. Article ID 490872 (2012a). doi:10.1155/2012/490872

Wong, C.H., Vijayaraghavan, V.: Nanomechanics of free form and water submerged single layer graphene sheet under axial tension by using molecular dynamics simulation. Mater. Sci. Eng. A 556, 420–428 (2012b)CrossRef

Wong, C.H., Vijayaraghavan, V.: Compressive characteristics of single walled carbon nanotube with water interactions investigated by using molecular dynamics simulation. Phys. Lett. A 378(5–6), 570–576 (2014)CrossRef

Yan, H., et al.: Enhanced thermal-mechanical properties of polymer composites with hybrid boron nitride nanofillers. Appl. Phys. A 114(2), 331–337 (2014)CrossRef

Yildiz, A.R.: A novel hybrid immune algorithm for global optimization in design and manufacturing. Robot. Comput.-Integr. Manuf. 25(2), 261–270 (2009a)CrossRef

Yildiz, A.R.: An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry. J. Mater. Process. Technol. 209(6), 2773–2780 (2009b)CrossRef

Yildiz, A.R.: A comparative study of population-based optimization algorithms for turning operations. Inf. Sci. 210, 81–88 (2012)CrossRefMathSciNet

Yildiz, A.R.: Comparison of evolutionary-based optimization algorithms for structural design optimization. Eng. Appl. Artif. Intell. 26(1), 327–333 (2013a)CrossRef

Yildiz, A.R.: A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations. Appl. Soft Comput. 13(3), 1561–1566 (2013b)CrossRef

Yildiz, A.R.: A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing. Appl. Soft Comput. 13(5), 2906–2912 (2013c)CrossRef

Yildiz, A.R.: Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach. Inf. Sci. 220, 399–407 (2013d)CrossRefMathSciNet

Yildiz, A.R.: Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations. Appl. Soft Comput. 13(3), 1433–1439 (2013e)CrossRef

Yildiz, A.R.: Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. Intl. J. Adv. Manuf. Technol. 64(1–4), 55–61 (2013f)CrossRef

Zhang, C.-L., Shen, H.-S.: Thermal buckling of initially compressed single-walled carbon nanotubes by molecular dynamics simulation. Carbon 45(13), 2614–2620 (2007)CrossRef

Zhang, Z., Guo, W., Dai, Y.: Freestanding (3,0) boron nitride nanotube: expected to be stable well over room temperature. Appl. Phys. Lett. 93(22), 223108 (2008)CrossRef

Zhang, Z., Guo, W., Dai, Y.: Stability and electronic properties of small boron nitride nanotubes. J. Appl. Phys. 105(8), 084312 (2009a)CrossRef

Zhang, Y.Y., Xiang, Y., Wang, C.M.: Buckling of defective carbon nanotubes. J. Appl. Phys. 106(11), 113503 (2009b)CrossRef

Title: An integrated computational approach for determining the elastic properties of boron nitride nanotubes
Authors: V. Vijayaraghavan
A. Garg
C. H. Wong
K. Tai
Pravin M. Singru
Publication date: 01-03-2015
Publisher: Springer Netherlands
Published in: International Journal of Mechanics and Materials in Design / Issue 1/2015
Print ISSN: 1569-1713
Electronic ISSN: 1573-8841
DOI: https://doi.org/10.1007/s10999-014-9262-1

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