2017
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Low Velocity Impact Response of Laminated Composite Truncated Sandwich Conical Shells with Various Boundary Conditions Using Complete Model and GDQ Method
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2
In this paper, the dynamic analysis of the composite sandwich truncated conical shells (STCS) with various boundary conditions subjected to the low velocity impact was studied analytically, based on the higher order sandwich panel theory. The impact was assumed to occur normally over the top facesheet, and the contact force history was predicted using two solution models of the motion which were derived based on Hamilton’s principle by considering the displacement continuity conditions between the layers⸳ In order to obtain the contact force and the displacement histories, the differential quadrature method (DQM) was used. In this investigation, the effects of different parameters such as the number of layers of the face sheets, the boundary conditions, the semi vertex angle of the cone, and the impact velocity of the impactor on the impact response of the complete model were studied.
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A.
Azizi
Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mechanical and Aerospace Engineering
Iran


S. Mohammad Reza
Khalili
Centre of Excellence for Research in Advanced Materials and Structures, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Centre of Excellence for Research in Advanced
Iran
smrkhalili2005@gmail.com


K.
Malekzadeh Fard
Malek Ashtar University of Technology, Department of Mechanical Engineering,
4th Kilameter, Makhsous RD, Tehran, Iran
Malek Ashtar University of Technology, Department
Iran
Low velocity impact
STCS
DQM
Hertzian contact law
complete model
[[1] Frostig, Y. and Thomsen, O.T., Highorder free vibration of sandwich panels with a flexible core, Int. J. Solids Struct., Vol. 41(5), pp. 16971724, 2004. ##[2] Sofiyev, A.H., Nonlinear buckling behavior of FGM truncated conical shells subjected to axial load, Int. J. NonLinear Mech., Vol. 46(5), pp. 711719, 2011. ##[3] Chai, G.B. and Zhu, S., A review of lowvelocity impact on sandwich structures, Proceed. Inst. Mec. Eng., Part L: J. Mat. Des. Applicat., Vol. 225(4), pp. 207230, 2011. ##[4] Abrate, S., Impact on composite structures, Cambridge university press, 2005. ##[5] Shivakumar, K.N., Elber, W. and Illg, W., Prediction of lowvelocity impact damage in thin circular laminates, AIAA J., Vol. 23(3), pp. 442449, 1985. ##[6] Anderson, T.A., An investigation of SDOF models for large mass impact on sandwich composites, Compos. Part B: Eng., Vol. 36(2), pp. 135142, 2005. ##[7] Gong, S.W. and Lam, K.Y., Effects of structural damping and stiffness on impact response of layered structure, AIAA J., Vol. 38(9), pp. 17301735, 2000. ##[8] Malekzadeh, K., Khalili, M.R. and Mittal, R.K., Response of composite sandwich panels with transversely flexible core to lowvelocity transverse impact: A new dynamic model, Int. J. Impact Eng., Vol. 34(3), pp. 522543, 2007. ##[9] Khalili, M.R., Malekzadeh, K. and Mittal, R.K., Effect of physical and geometrical parameters on transverse lowvelocity impact response of sandwich panels with a transversely flexible core, Compos. Struct., Vol. 77(4), pp. 430443, 2007. ##[10] Wilkins, D.J., Bert, C.W. and Egle, D.M., Free vibrations of orthotropic sandwich conical shells with various boundary conditions, J. Sound Vib., Vol. 13(2), pp. 211228, 1970. ##[11] Struk, R., Nonlinear stability problem of an open conical sandwich shell under external pressure and compression, Int. J. Nonlinear Mech., Vol. 19(3), pp. 217233, 1984. ##[12] Bardell, N.S., Langley, R.S., Dunsdon, J.M. and Aglietti, G.S., An h–p finite element vibration analysis of open conical sandwich panels and conical sandwich frusta, J. Sound Vib., Vol. 226(2), pp. 345377, 1999. ##[13] Malekzadeh Fard, K.M.and Livani, M., New enhanced higher order free vibration analysis of thick truncated conical sandwich shells with flexible cores, Struct. Eng. Mech., Vol. 55(4), pp. 719742, 2015. ##[14] Reddy J., Mechanics of laminated composite plates and shells, theory and application, CRC Press, Boca Raton FL, 2003. ##[15] Kheirikhah, M.M., Khalili, S.M.R. and Malekzadeh Fard, K., Biaxial buckling analysis of softcore composite sandwich plates using improved highorder theory, Europ. J. Mech. A/Solids, Vol. 31, pp. 54e66, 2012. ##[16] Garg, A.K., Khare, R.K. and Kant, T., Higherorder closedform solutions for free vibration of laminated composite and sandwich shells, J. Sandw. Struct. Mat., Vol. 8(3), pp. 205235, 2006. ##[17] Reissner, E., On a variational theorem for finite elastic deformations, J. Math. Phys, Vol. 32(23), pp. 129135, 1953. ##[18] Carvalho, A. and Soares, C.G., Dynamic Response of Rectangular Plates of Composite Materials Subjected to Impact Loads, Compos. Struct., Vol. 34, pp. 55–63, 1996. ##[19] Zheng, D. and Binienda, W.K., Analysis of Impact Response of Composite Laminates under Prestress, ASCE, Vol. 4, No. 197, pp. 211219, 2008. ##[20] Malekzadeh Fard, K. and Gholami, M., Analysis of Impact Dynamic Response of Doubly Curved Composite Laminated Shell under Initial Stresses, Aerosp. Mech. J., Vol. 10, No. 3, pp. 73–88, 2013. ##[21] Kolahchi, R., Safari, M. and Esmailpour, M., Dynamic stability analysis of temperaturedependent functionally graded CNTreinforced viscoplates resting on orthotropic elastomeric medium, Compos. Struct, Vol. 150, pp. 255–265, 2016. ##[22] Ghorbanpour Arani, A., Kolahchi, R. and Zarei, M.Sh., Viscosurfacenonlocal piezoelasticity effects on nonlinear dynamic stability of graphene sheets integrated with ZnO sensors and actuators using refined zigzag theory, Compos. Struct., Vol. 132, pp. 506–526, 2015. ##[23] Kolahchi, R. and Moniribidgoli, A.M., Sizedependent sinusoidal beam model for dynamic instability of singlewalled carbon nanotubes, Appl. Math. Mech. Engl. Ed., Vol. 37(2), pp. 265–274, 2016.##]
Free Vibration of a Thick Sandwich Plate Using Higher Order Shear Deformation Theory and DQM for Different Boundary Conditions
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In this paper, the effect of different boundary conditions on the free vibration analysis response of a sandwich plate is presented using the higher order shear deformation theory. The face sheets are orthotropic laminated composites that follow the first order shear deformation theory (FSDT) based on the RissnersMindlin (RM) kinematics field. The motion equations are derived considering the continuity boundary conditions between the layers based on the energy method and Hamilton's principle. The frequency and mode shapes of the structure are obtained using the differential quadrature method (DQM). The effects of different parameters such as the face sheettocore stiffness ratio, the boundary conditions, and the coretoface sheet thickness ratio on the frequency of the sandwich plate are shown. Moreover, the numerical results indicate that the frequency of the CCCC and CFFF sandwich plates predict the higher and lower frequency, respectively.
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M.
Nasihatgozar
Department of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mechanical and Aerospace Engineering
Iran


S. Mohammad Reza
Khalili
Centre of Excellence for Research in Advanced Materials and Structures, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Centre of Excellence for Research in Advanced
Iran
smrkhalili2005@gmail.com
Sandwich plate
Vibration
DQM
Higher order theory
FSDT
[[1] Noor, A.K., Burton, W.S. and Bert, C.W., Computational models for sandwich panels and shells, Appl. Mech. Rev., Vol. 49(3), pp. 155199, 1996. ##[2] Bhimaraddi, A., A higher order theory for free vibration analysis of circular cylindrical shells, Int. J. Solids Struct., Vol. 20(7), pp. 623630, 1984. ##[3] Leissa, A.W. and Chang, J.D., Elastic deformation of thick, laminated composite shells, Compos. Struct., Vol. 35(2), pp.153170, 1996. ##[4] Khalili, S.M.R., Davar, A. and Malekzadeh Fard, K., Free vibration analysis of homogeneous isotropic circular cylindrical shells based on a new threedimensional refined higherorder theory, Int. J. Mech. Sci., Vol. 56(1), pp.125, 2012. ##[5] Thai, C.H., NguyenXuan, H., NguyenThanh, N. and Rabczuk, T., Static, free vibration, and buckling analysis of laminated composite Reissner–Mindlin plates using NURBSbased isogeometric approach, Int. J. Numeric. Meth. Eng., Vol. 91(6), pp.571603, 2012. ##[6] Valizadeh, N., Natarajan, S., GonzalezEstrada, O.A., Rabczuk, T., Quoc Bui, T. and Bordas, S.P.A., NURBSbased finite element analysis of functionally graded plates, pp. Static bending, vibration, buckling and flutter, Compos. Struct., Vol. 99(0), pp.309326, 2013. ##[7] Kapoor, H. and Kapania, R.K., Geometrically nonlinear NURBS isogeometric finite element analysis of laminated composite plates, Compos. Struct., Vol. 94(12), pp.34343447, 2012. ##[8] Viola, E., Tornabene, F.and Fantuzzi, N., General higherorder shear deformation theories for the free vibration analysis of completely doublycurved laminated shells and panels, Compos. Struct., Vol. 95(0), pp.639666, 2013. ##[9] Lal, R. and Rani, R., On radially symmetric vibrations of nonuniform annular sandwich plates, ThinWall. Struct., Vol. 94, pp. 562–576, 2015. ##[10] Nguyen, T.K., Nguyen, V.H., ChauDinh, T., Vo, T.P. and NguyenXuan, H., Static and vibration analysis of isotropic and functionally graded sandwich plates using an edgebased MITC3 finite elements, Compos. Part B: Eng., Vol. 107, pp. 162–173, 2016. ##[11] Reddy, J., Mechanics of laminated composite plates and shells, theory and application, CRC Press, Boca Raton FL, 2003. ##[12] Kheirikhah, M.M., Khalili, S.M.R. and Malekzadeh Fard, K., Biaxial buckling analysis of softcore composite sandwich plates using improved highorder theory, Europ. J. Mech.  A/Solids, Vol. 31(1), pp.5466, 2012. ##[13] Kolahchi, R. and Rabani Bidgoli, M., Beygipoor, G. and Fakhar, M.H., A nonlocal nonlinear analysis for buckling in embedded FGSWCNTreinforced microplates subjected to magnetic field, J. Mech. Sci. Tech., Vol. 29, pp. 36693677, 2015. ##[14] Malekzadeh Fard, K., Livani, M. and Gholami, M., Improved highorder bending analysis of double curved sandwich panels subjected to multiple loading conditions, Latin Americ. J. Solids Struct., Vol. 11(9), pp.15911614, 2014.##]
Pole placement algorithm for control of civil structures subjected to earthquake excitation
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In this paper the control algorithm for controlled civil structures subjected to earthquake excitation is thoroughly investigated. The objective of this work is the control of structures by means of the pole placement algorithm, in order to improve their response against earthquake actions. Successful application of the algorithm requires judicious placement of the closedloop eigenvalues from the part of the designer. The pole placement algorithm was widely applied to control mechanical systems. In this paper, a modification in the mathematical background of the algorithm in order to be suitable for civil fixed structures is primarily presented. The proposed approach is demonstrated by numerical simulations for the control of both single and multidegree of freedom systems subjected to seismic actions. Numerical results have shown that the control algorithm is efficient in reducing the response of building structures, with small amount of required control forces.
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25
36


Nikos
Pnevmatikos
Technological Educational Institute of Athens
Department of Civil Engineering
Technological Educational Institute of Athens
Iran
pnevma@teiath.gr
Structural control
Pole placement
Structural Dynamics
Earthquake Engineering
[[1] Yao JTP. ‘Concepts of structural control.’ Journal of structural engineering, ASCE; Vol. 98, pp.15671574, 1972. ##[2] Yang J. N., Kim J. H., Agrawal A. K. ‘Resetting semiactive stiffness damper for seismic response control.’ Journal of structural engineering, vol.126, pp.1427143, 2000. ##[3] Yang J., Agrawal A., ‘Semiactive hybrid control systems for nonlinear buildings against nearfield earthquakes’, Engineering structures, vol.24, pp.271280, 2002. ##[4] Yang J.N. ‘Application of optimal control theory to civil engineering structures.’ Journal of Engineering Mechanics Division ASCE, pp.819838, 1975. ##[5] Yang J.N., Wu J.C. Li Z. ‘Control of seismic excited buildings using active variable stiffness.’ Engineering structures, vol.18, pp.589596, 1996. ##[6] Yang J.N., Wu J.C., Agrawal A.K., Hsu S.Y. ‘Sliding mode control for non linear and hysteretic structures.’ Journal of Engineering Mechanics, ASCE, vol.121, pp.13301339, 1995. ##[7] Yang J.N., Wu J.C., Agrawal A.K., Hsu S.Y. ‘Sliding mode control of seismically excited linear structures.’ Journal of Engineering Mechanics, ASCE, vol121, pp.13861390, 1995. ##[8] Soong T.T. Active structural control: Theory and practice, London/New York: Longman Scientific &Technical/Wiley, 1990. ##[9] Housner, G. W., Bergman, L. A., Caughey, T. K., Chassiakos, A. G., Claus, R. O., Masri, S. F., Skelton, R. E., Soong, T. T., Spencer, Jr., B. F., and Yao, J. T. P. ‘Structural control: Past, present and future.’ Journal of Engineering Mechanics, vol.123, pp.897–971, 1997. ##[10] Spencer B.F., Dyke S.J., Sain M.K., Carlson J.D., “Phenomenological model for magnetorheological dampers.” Journal of engineering mechanics, vol.123, pp.230238, 1997. ##[11] Spencer Jr., B.F. and Nagarajaiah, S., “State of the Art of Structural Control,” Journal of Structural Engineering, ASCE, Vol. 239, pp.84556, 2003. ##[12] Symans MD, Constantinou MC. ‘Seismic testing of a building structure with semiactive fluid damper control system.’ Earthquake Engineering and Structural Dynamics, vol.26, pp.759–777, 1997. ##[13] Symans MD, Constantinou MC., ‘Semiactive control systems for seismic protection of structures: a stateoftheart review.’ Engineering Structures, vol.21, pp.469–487, 1999. ##[14] Symans MD, Kelly SW. ‘Fuzzy logic control of bridge structures using intelligent semiactive seismic isolation systems.’ Earthquake Engineering and Structural Dynamics, vol.28, pp.37–60, 1999. ##[15] Kobori T., “Experimental study on active variable stiffness systemactive seismic response controlled structure,’ Proc. 4th World Congr. Council on Tall Buildings and Urban Habitat, pp.561572, 1990. ##[16] Kobori T., and Kamagata, “Dynamic intelligent building Active seismic response control”, Intelligent structures, Elsiever, vol.2, pp.279274, 1992. ##[17] Lu J., Skelton R. ‘Covariance control using closedloop modeling for structures.’ Earthquake Engineering and Structural Dynamics, vol.27, pp.1367–1383, 1998. ##[18] Kurata N. and Kobori T. ‘Reliability of applied semiactive structural control system.’ Journal of Structural Engineering,vol.129, pp.914921, 2003. ##[19] Reigles Damon G. and Symans Michael D. ‘Supervisory fuzzy control of a baseisolated benchmark building utilizing a neurofuzzy model of controllable fluid viscous dampers.’ Structural Control and Health Monitoring, vol.13, pp.724–747, 2006. ##[20] Renzi E. Serino G. ‘Testing and modeling a semiactively controlled steel frame structure equipped with MR dampers.’ Structural Control Health Monitoring, vol.11, pp.189–221, 2004. ##[21] Sage A. P. and White C. C. Optimum systems control. 2nd edition Prentice Hall, Englewood Cliffs NJ, 1977. ##[22] Kwakernaak H. and Sivan R. Linear optimal control systems. Wiley, New York NY, 1972. ##[23] Brogan W. L. ‘Application of determinant identity to poleAssignment and observer problems.’ IEEE Transactions on automatic control AC19, pp.689692, 1974. ##[24] Ogata K. Discrete time control systems. Prentice Hall International Inc, 1995. ##[25] Ogata K. Modern control engineering. 3rd edition Prentice Hall International Inc, 1997. ##[26] Kwon WH, Pearson AE. ‘Feedback Stabilization of linear systems with delayed control.’ IEEE Trans automat Control; AC 25, pp266269, 1980. ##[27] Kautsky, J. and Nichols N.K. ‘Robust Pole Assignment in Linear State Feedback.’ International Journal Control, vol.41, pp.11291155, 1985. ##[28] Laub, A.J. and Wette M. Algorithms and Software for Pole Assignment and Observers. UCRL15646 Rev. 1, EE Dept., Univ. of Calif., Santa Barbara, C., 1984. ##[29] Leipholz H.H.E. and M. AbdelRohman, Control of Structures, Martinus Nijhoff Publishers/Boston, 1986. ##[30] Martin R. C. and Soong T. T. ‘Modal control of multistory structures.’ ASCE Journal of engineering mechanics, vol.102, pp.613 623, 1976. ##[31] Wang P. C., Kozin F. and Amini F. ‘Vibration control of tall buildings’, Engineering Structures, vol.5, pp.282289, 1983. ##[32] Meirovotch L. Dynamics and control of structures. John Willey & Sons, 1990. ##[33] Utku S. Theory of adaptive structures: Incorporative intelligent into engineering products. CRC press LLC, 1998. ##[34] Preumont A. Vibration control of active structures; An introduction. 2nd edition Kluwer academic publishers, 2002. ##[35] Nikos G. Pnevmatikos, Charis J. Gantes, “Control strategy for mitigating the response of structures subjected to earthquake actions”, Engineering Structures, Vol. 32, pp. 3616–3628, 2010. ##[36] Shampine L.F. and Thompson S. ‘Solving DDEs in MATLAB.’ Applied Numerical Mathematics, vol.37, pp.441458, 2001. ##[37] Cai G.P, Huang J.Z. and Yang S.X. ‘An optimal control method for linear systems with time delay’ Computers and structures, vol.81, pp.15391546, 2003.##]
Modeling of heat generations for different tool profiles in friction stir welding: study of tool geometry and contact conditions
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In this work, improved heat generation models are developed for straight and tapered shoulder geometries with different tool pin profiles in friction stir welding. The models are developed considering the welding process as a combination of the pure sliding and the pure sticking conditions. From the results, the amount of heat generation is directly proportional to the number of edges in the pin profiles in such a way that the heat generated in the profiles increases from the triangular pin profile to hexagonal pin profile. Also, increase in the tool rotational speed under constant weld speed increases the heat input while increase in the weld speed under constant tool rotational speed decreases the heat input and the rate of heat generation at the shoulder in a flat shoulder tool is more than that of conical/tapered shoulder tool. The predicted results show good agreements with the experimental results in literature.
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37
59


Akindoye
Waheed
Federal University of Agriculture, Abeokuka, Ogun, Nigeria
Federal University of Agriculture, Abeokuka,
Iran
lawrence@unilag.edu.ng


Lawrence
Jayesimi
University of Lagos
University of Lagos
Iran
ljayesimi@unilag.edu.ng


M.
Ismaila
Federal University of Agriculture, Abeokuka, Ogun, Nigeria
Federal University of Agriculture, Abeokuka,
Iran
ismailasa@yahoo.com


U
Dairo
Federal University of Agriculture, Abeokuka, Ogun, Nigeria
Federal University of Agriculture, Abeokuka,
Iran
ustev@yahoo.com
Frictional stir welding
Heat generation models
Different Profiles
Tool geometry
Contact Conditions
[Thomas W M, Nicholas E D, Needham J C, Murch M G, TempleSmith P and Dawes C J (1991), FrictionStir ButtWelding, GB Patent No. 9125978.8, International Patent Application No. PCT/ GB92/02203. ##Schneider J. Temperature distribution and resulting metal flow, friction stir welding and processing, ASM International, Chapter 3, pp. 37–50, 2007 ##Schneider J. A. Temperature Distribution and Resulting Metal Flow. In: Mishra RS, Mahoney MW, editors. Friction Stir Welding and Processing. Materials Park, OH (USA): ASM International; pp. 71110, 2007 ##Schneider J, Beshears R, Nunes Jr. AC. Interfacial Sticking and Slipping in the Friction Stir Welding Process. Mat SciEng A. Vol. 435 – 436, pp. 297 – 304, 2006 ##Chao, Y. J. Qi, X. Tang, W. Heat transfer in friction stir welding: experimental and numerical studies, ASME J. Manuf. Sci. Eng. 125, 138–145, 2003. ##Frigaard, O., Grong, O., and Midling, O. T. A process model for friction stir welding of age hardening aluminium alloys. Metall. Mater. Trans. A. Vol. 32, pp. 1189–1200, 2001. ##Russell M J and Shercliff H R 1999 1st Int. Symp. on Friction Stir Welding (Thousand Oaks, California, USA) ##Gadakh, V. S., Kumar, A and Patil J.V. Analytical Modeling of the Friction Stir Welding Process using Different Pin Profiles. Welding Research. Vol. 94(4): pp. 115124, 2015. ##Colegrove, P.A., Shercliff, H.R., Zettler, R., A model for predicting the heat generation and temperature in friction stir welding from the material properties. Sci. Technol. Weld. Joining, Vol.12, pp. 284–297, 2007. ##Djurdjanović, M., et al., Heat Generation During Friction Stir Welding Process, Tribology in Industry, Vol. 31(12), pp. 814, 2009. ##Mijajlović, M., and Milčić, D. Analytical model for estimating the amount of heat generated during friction stir welding: Application on plates made of aluminium alloy 2024T351, pp. 247–274, 2012. ##Jauhari TK. Development of MultiComponent Device for Load Measurement and Temperature Profile for Friction Stir Welding Process [M.Sc Thesis]. Penang: Universiti Sains Malaysia; Unpublished. 2012. ##Arora A, Nandan R, Reynolds AP, Debroy T. Torque, power requirement and stir zone geometry in friction stir welding through modeling and experiments. Scripta Mater Vol. 60, pp. 13–16, 2009. ##ElTayeb NSM, Low KO, Brevern PV. On the surface and tribological characteristics of burnished cylindrical Al6061. Tribol. Int Vol. 42, pp. 320–326, 2009. ##Devaraju A, Kumar A, Kotiveerachari B. Influence of addition of Grp/Al2O3p with SiCp on wear properties of aluminum alloy 6061T6 hybrid composites via friction stir processing. Trans Nonferrous Met Soc China, Vol. 23, pp. 1275–1280, 2013. ##Sheppard T. and D. Wright D. Determination of flow stress. Part 1 constitutive equation for aluminum alloys at elevated temperatures, Met. Technol., Vol. 6, pp. 215–223, 1979. ##Sheppard, T., A Jackson . “Constitutive equations for use in prediction of flow stress during extrusion of aluminium alloys”, Materials Science and Technology, Vol 13(3), pp. 203–209. ##Uyyuru RK, Kallas SV. Numerical analysis of friction stirs welding process. J Mater Eng Perform 15:505–18, 2006. ##Colegrove, P.A., Shercliff, H.R.. CFD Modelling of the friction stir welding of thick Plate 7449 aluminium alloy. Sci. Technol. Weld. Joining Vol. 11 (4), pp. 429–441, 2006. ##Wang H, Colegrove PA, Dos Santos JF. Numerical investigation of the tool contact condition during friction stir welding of aerospace aluminium alloy. Comput Mater Sci.; Vol. 7, pp. 101–108, 2013. ##Su H, Wu C, Chen M. Analysis of material flow and heat transfer in friction stir welding of aluminium alloys. China Weld (Engl Ed), Vol. 22, pp. 6–10, 2013. ##Sobamowo, M. G. New models for the prediction of temperaturestrain dependent flow stress during machining and fabrication of material. Report on Improved models for flow stress predictions. Unpublished Work, 2016. ##Schmidt, H., Hattel, J., and Wert, J. An analytical model for the heat generation in friction stir welding. Modelling Simul. Mater. Sci. Eng. Vol. 12: 143–157, 2004. ##Khandkar, M. Z. H., Khan, J. A., and Reynolds, A. P. Prediction to temperature distribution and thermal history during friction stir welding: Input torque basedmodel. Sci. Technol. Weld. Join. Vol. 8, pp. 165–174, 2003. ##Ramanjaneyulu, K., Reddy, G. M., Venugopal, A. V. and Markandeya, R. StructureProperty Correlation of AA2014 Friction Stir Welds: Role of Tool Pin Profile. Journal of Materials Engineering and Performance, Vol. 22(8), pp. 20132225, 2013. ##]
Thermomechanical nonlinear vibration analysis of fluidconveying structures subjected to different boundary conditions using GalerkinNewtonHarmonic balancing method
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2
The development of mathematical models for describing the dynamic behaviours of fluid conveying pipes, micropipes and nanotubes under the influence of some thermomechanical parameters results into nonlinear equations that are very difficult to solve analytically. In cases where the exact analytical solutions are presented either in implicit or explicit forms, high skills and rigorous mathematical analyses were employed. It is noted that such solutions do not provide general exact solutions. Inevitably, comparatively simple, flexible yet accurate and practicable solutions are required for the analyses of these structures. Therefore, in this study, approximate analytical solutions are provided to the nonlinear equations arising in flowinduced vibration of pipes, micropipes and nanotubes using GalerkinNewtonHarmonic Method (GNHM). The developed approximate analytical solutions are shown to be valid for both small and large amplitude oscillations. The accuracies and explicitness of these solutions were examined in limiting cases to establish the suitability of the method.
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60
79


Gbeminiyi
Sobamowo
UNIVERSITY OF LAGOS
UNIVERSITY OF LAGOS
Iran
mikegbeminiyi@gmail.com


Bayo
Ogunmola
University of Lagos, Nigeria.
University of Lagos, Nigeria.
Iran
bayemi@yahoo.com


Charles
Osheku
Centre for Space Transport and Propulsion, National Space Research and Development Agency, Federal Ministry of Science and Technology, FCT, Abuja, Nigeria.
Centre for Space Transport and Propulsion,
Iran
gsobamowo@unilag.edu.ng
Thermomechanical
Nonlinear Vibration
Galerkin’s method
NewtonHarmonic Balancing Technique
Fluidconveying structure
[[1] Iijima, S. Nature, London, Vol. 354, pp. 56(1991), 56–58. ##[2] Benjamin. T. B. Dynamics of a system of articulated pipes conveying fluid. I. Theory. Proc R Soc A Vol. 261:pp. 487–99, 1961. ##[3] Holmes, P. J. Pipe Supported at Both Ends cannot Flutter. Journal of Applied Mechanics. Vol. 45, pp. 669672, 1978 ##[4] Housner, G. W., Dodds, H. L. and Runyan. H. Effect of High Velocity Fluid Flow in the Bending Vibration and Static Divergence of Simply Supported Pipes. National Aeronautics and Space Administration Report NASA TN D 2870, June 1965. ##[5] Naguleswaran, S. and Williams, C. J. H., Lateral Vibration of a Pipe Conveying Fluid. Journal of Mechanical Engineering Science.Vol. 10, pp. 228 238, 1968. ##[6] Paidoussis, M. P., Dynamics of Flexible Slender Cylinders in Axial Flow. Journal of Fluid Mechanics. Vol. 26, pp. 717736, 1966 ##[7] Paidoussis, M. P. and Deksnis, E. B. Articulated Models of Cantilevers Conveying Fluid: the Study of Paradox. 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A DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks
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A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditions. The timedomain vibration signals were divided into 40 segments and simple features such as peaks in time domain and spectrum along with statistical features such as standard deviation, skewness, kurtosis etc. were extracted. Effectiveness of SVM classifier was compared with the performance of Artificial Neural Network (ANN) classifier and it was found that the performance of SVM classifier is superior to that of ANN. The effect of preprocessing of the vibration signal by Discreet Wavelet Transform (DWT) prior to feature extraction is also studied and it is shown that preprocessing of vibration signal with DWT enhances the effectiveness of both ANN and SVM classifiers. It has been demonstrated from experiment results that performance of SVM classifier is better than ANN in detection of bearing condition and preprocessing the vibration signal with DWT improves the performance of SVM classifier.
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80
91


Sunil
Tyagi
Defence Institute of Advanced Technology
Defence Institute of Advanced Technology
Iran
suniltyagi@tyagination.com


S. K.
Panigrahi
Defence Institute of Advanced Technology
Girinagar, Pune  411025, India
Defence Institute of Advanced Technology
Girinagar
Iran
panigrahi.sk@gmail.com
Artificial Neural Network (ANN)
Discreet Wavelet Transform (DWT)
Fault Diagnosis
Rolling Element Bearing
Support Vector Machine (SVM)
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