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Abstract
Carbon nanotube (CNT)/polymer nanocomposites have vast application in industry because of their light mass and high strength. In this work, a cylindrical tube which is made up of functionally graded (FG) PmPV/CNT nanocomposite, is optimally designed for the purpose of torque transmission. The main confining parameters of a rotating shaft in torque transmission process are mass of the shaft, critical speed of rotation and critical buckling torque. It is required to solve a multi-objective optimization problem (MOP) to consider these three targets simultaneously in the process of design. The three-objective optimization problem for this case is defined and solved using a hybrid method of FEM and modified non-dominated sorting genetic algorithm (NSGA-II), by coupling two softwares, MATLAB and ABAQUS. Optimization process provides a set of non-dominated optimal design vectors. Then, two methods, nearest to ideal point (NIP) and technique for ordering preferences by similarity to ideal solution (TOPSIS), are employed to choose trade-off optimum design vectors. Optimum parameters that are obtained from this work are compared with the results of previous studies for similar cylindrical tubes made from composite or a hybrid of aluminum and composite that more than 20% improvement is observed in all of the objective functions.
Keywords
nanocomposite
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carbon nanotube (CNT)
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functionally graded materials (FGM)
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cylindrical tube
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finite element method (FEM)
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modified NSGA-II technique for ordering preferences by similarity to ideal solution (TOPSIS)
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nearest to ideal point (NIP)
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Abolfazl Khalkhali, Sharif Khakshournia, Parvaneh Saberi.
Optimal design of functionally graded PmPV/CNT nanocomposite cylindrical tube for purpose of torque transmission.
Journal of Central South University, 2016, 23(2): 362-369 DOI:10.1007/s11771-016-3081-5
| [1] |
SalahifarR, MoharebM. Analysis of circular cylindrical tubes under harmonic forces [J]. Thin Walled Structures, 2010, 48: 528-539
|
| [2] |
MalekzadeP, HeydarpourY. Free vibration analysis of rotating functionally graded cylindrical tubes in thermal environment [J]. Composite Structures, 2012, 94: 2971-2981
|
| [3] |
IjimaS. Helical microtubules of graphitic carbon [J]. Nature, 1991, 354: 56-58
|
| [4] |
JoshiU A, SatishS C, HarshaS P. Effect of carbon nanotube orientation on the mechanical properties of nanocomposites [J]. Composites Part B: Engineering, 2012, 43: 2063-2071
|
| [5] |
TaiL-m, HuangS-chour. Modeling and analysis the effect of helical carbon nanotube morphology on the mechanical properties of nanocomposites using hexagonal representative volume element [J]. Applied Mechanics and Materials, 2014577
|
| [6] |
NimaN, et al.. Fabrication and mechanical property prediction of carbon nanotube reinforced aluminum nanocomposites [J]. Materials & Design, 2012, 34: 1-14
|
| [7] |
PingZ, LeiZ X, LiewK M. Static and free vibration analyses of carbon nanotube-reinforced composite plates using finite element method with first order shear deformation plate theory [J]. Composite Structures, 2012, 94: 1450-1460
|
| [8] |
SadollahE, Rafii-TabarH. Influence of hydrogen functionalization on mechanical properties of graphene and CNT reinforced in chitosan biological polymer: Multi-scale computational modeling [J]. Computational Materials Science, 2015, 101: 189-193
|
| [9] |
LoyC T, LamK Y, ReddyJ N. Vibration of functionally graded cylindrical tube [J]. International Journal of Mechanical Science, 1999, 41: 309-324
|
| [10] |
PradhanS C, LoyC T, LamK M, ReddyJ NVibration characteristics of functionally graded cylindrical tubes under various boundary conditions [J], 2000, 61: 111-129
|
| [11] |
ShokriehM, HasaniA, LessardL B. Shear buckling of a composite drive shaft under torsion [J]. Composite Structures, 2004, 64(10): 63-69
|
| [12] |
MoradiR, ForoutanM, PourasgharA. Dynamic analysis of functionally graded nanocomposite cylinders reinforced by carbon nanotubes by a meshfree method [J]. Materials and Design, 2013, 44: 256-266
|
| [13] |
DebK, AgrawalS, PratapA, MeyarivanT. A fast and elitist multi-objective genetic algorithm: NSGA-II [J]. IEEE Trans on Evolutionary Computation, 2002, 61: 182-197
|
| [14] |
JamaliA, Nariman-ZadehN, DarvizehA, MasoumiA, HamrangS. Multi-objective evolutionary optimization of polynomial neural networks for modeling and prediction of explosive cutting process [J]. Intemation Journal of Engineering Applications of Artificial Intelligence, 2009, 22: 676-687
|
| [15] |
KhalkhaliA, Nariman-ZadehN, DarvizehA, MasoumiA, NotghiB. Reliability-based robust multi-objective crashworthiness optimization of s-shaped box beams with parametric uncertainties [J]. Int Journal of Crashworthiness, 2010, 15: 443-456
|
| [16] |
KhalkhaliA, SafikhaniH. Pareto based multi-objective optimization of cyclone vortex finder using CFD, GMDH type neural networks and genetic algorithm [J]. Engineering Optimization, 201244
|
| [17] |
KhakshourniaS H. Multi-objective optimization of carbon nanotube reinforced nanocomposite shaft [D]. Tehran, Iran: Automotive Engineering School, Iran University of Science and Technology, 2013
|
| [18] |
Hernandez-PerezA, AvilesF. Modeling the influence of interphase on the elastic properties of carbon nanotube composites [J]. Computational Materials and Science, 2010, 47: 926-933
|
| [19] |
ZhuP, LeiZ, LiewK. Static and free vibration analysis of carbon nanotube-reinforced composite plates using finite element method with first order shear deformation plate theory [J]. Composite Structures, 2010, 94: 1450-1460
|
| [20] |
HanY, ElliotteJ. Molecular dynamics simulations of the elastic properties of polymer/carbon nanotube composites [J]. Computational Material Science, 2007, 39: 315-325
|
| [21] |
BadiehM A, MahdiE, HamoudaA, MS. An investigation into hybrid carbon/glass fiber reinforced epoxy composite automotive drive shaft [J]. Materials and Designs, 2011, 32: 1485-1500
|
| [22] |
KhalkhaliA, NikghalbE, NorouzianM. Multi-objective optimization of hybrid carbon/glass fiber reinforced epoxy composite automotive drive shaft [J]. International Journal of Engineering, 2015, 28(4): 583-592
|
| [23] |
PelletierJ L, SenthilS. Multi-objective optimization of fiber reinforced composite laminates for strength, stiffnrss and minimal mass [J]. Computer & Structures, 2006, 184: 2065-2080
|
| [24] |
Transactions of Canadian Society for Mechanical Engineering, 2011, 351
|
| [25] |
Nariman-ZadehN, SalehpourM, JamaliA, HaghlooE. Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA) [J]. Engineering Applications of Artificial Intelligence, 2011, 23: 543-551
|
| [26] |
KhalkhaliA, KhakshourniaS, Nariman-ZadehN. A hybrid method of FEM, modified NSGA II and TOPSIS for structural optimization of sandwich panels with corrugated core [J]. Journal of Sandwich Structures & Materials, 2014, 16: 583-592
|