Articles | Volume 6, issue 1
https://doi.org/10.5194/ms-6-29-2015
https://doi.org/10.5194/ms-6-29-2015
Research article
 | 
01 Apr 2015
Research article |  | 01 Apr 2015

Dimensional synthesis of mechanical linkages using artificial neural networks and Fourier descriptors

N. Khan, I. Ullah, and M. Al-Grafi

Related subject area

Subject: Mechanisms and Robotics | Techniques and Approaches: Numerical Modeling and Analysis
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Cited articles

Buskiewicz, J., Starosta, R., and Walczak, T.: On the application of the curve curvature in path synthesis, Mech. Mach. Theory, 44, 1223–1239, 2009.
Cabrera, J. A., Simon, A., and Prado, M.: Optimal synthesis of mechanisms with genetic algorithms, Mech. Mach. Theory, 37, 1165–1177, 2002.
Diab, N. and Smaili, A.: Optimum exact/approximate point synthesis of planar mechanisms, Mech. Mach. Theory, 43, 1610–1624, 2008.
Ebrahimi, S. and Payvandy, P.: Efficient constrained synthesis of path generating four-bar mechanisms based on the heuristic optimization algorithms, Mech. Mach. Theory, 85, 189–204, 2015.
Galan-Marin, G., Alonso, F., and Del Castillo, J.: Shape optimization for path synthesis of crank-rocker mechanisms using a wavelet-based neural network, Mech. Mach. Theory, 44, 1132–1143, 2009.
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Short summary
The problem of dimensional synthesis of mechanisms to trace a given closed curve is solved by (a) representation of curve shape using normalized Fourier descriptors and (b) learning the relation between Fourier descriptors and mechanism dimensions by an artificial neural network (ANN). The ANN developed suggests dimensions of a four-bar mechanism with coupler curve of shape similar to the one desired. The dimensions are further refined by optimization.