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Dimensional Synthesis of Mechanical Linkages Using Artificial Neural Networks and Fourier Descriptors : Volume 6, Issue 1 (01/04/2015)

By Khan, N.

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Book Id: WPLBN0003983479
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Dimensional Synthesis of Mechanical Linkages Using Artificial Neural Networks and Fourier Descriptors : Volume 6, Issue 1 (01/04/2015)  
Author: Khan, N.
Volume: Vol. 6, Issue 1
Language: English
Subject: Science, Mechanical, Sciences
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Khan, N., Ullah, I., & Al-Grafi, M. (2015). Dimensional Synthesis of Mechanical Linkages Using Artificial Neural Networks and Fourier Descriptors : Volume 6, Issue 1 (01/04/2015). Retrieved from

Description: University of Engineering and Technology Peshawar, Pakistan. Dimensional synthesis of mechanisms to trace given paths is an important problem with no exact solution. In this paper, the problem is divided into representation of curve shape and learning the relation between curve shape and mechanism dimensions. Curve shape is represented by Fourier descriptors of cumulative angular deviation of the curve, which do not depend on the position or scale of the curve. An artificial neural network (ANN) is trained to learn the (unknown) relation between the Fourier descriptors of a planar curve and the dimensions of the mechanism tracing that curve. Presented with any simple, closed, planar curve, the ANN suggests the dimensions of a four-bar whose coupler curve is similar in shape. A local optimization procedure further refines the results. Examples presented indicate the method is successful as long as the curve shape is such that the mechanism is able to trace it.

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

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