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The use of an integral RBFN method to identify the spinning balloon shape
By  : C.D. Tran, D.G. Phillips

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References


Batra S.K., Ghosh, T.K. and Zeidman, M.I. (1989). An Integrated Approach to Dynamic Analysis of the Ring

Spinning Process: Part I: Without Air Drag and Coriolis Acceleration, Text. Res. J, 59, 309-317.


Hardy, R.L. (1971). Multi-quadric equations for topography and other irregular surfaces, J. Geophys. Res. 176, 1095-1915.


Haykin, S. (1999). Neural networks: A comprehensive foundation, Prentice Hall, New Jersey.


He, J.H. (2004), Accurate Identification of the Shape of the Yarn Balloon, JOTI, 95, 187-191.


Kansa, E.J. (1990). Multiquadrics - A scattered data approximation scheme with applications to computational fluid dynamics-I: Surface approximations and partial derivatives estimates., Comput. Math. Appl., 19, 127-145.


Mai-Duy, N. and Tran-Cong, T. (2001). Numerical solution of Navier-Stokes equations using multiquadric radial basis function networks, Neural Network, 14, 185-199.


Stump, D.M. and Fraser, W.B. (1996). Transient solutions of the ring-spinning balloon equations, J. Applied Mech. 63, 523-528


Tran, C.D. and Phillips, D.G. (2006), Predicting torque of worsted singles yarn using an efficient RBFN based method, J. Text. Inst., accepted for publication.


Zerroukat, M., Djidjeli, K. and Charafi, A. (2000). Explicit and implicit meshless methods for linear advectiondiffusion type partial differential equation, Int. J. Numer. Meth. Eng., 48, 19-35.


About the Authors


The authors are associated with CSIRO Textile and Fibre Technology, Australia



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