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Research Paper | Mechanical Engineering | India | Volume 5 Issue 2, February 2016

Diameter and Spiral Thickness Optimization of Knuckle Joint Using Neural Network

Pankaj Dulani | S. A. K. Jilani

Abstract: The project study presents the problem of the failure of the knuckle pin in any mechanism for general due to crushing, tearing and shearing. As per the functionality of the knuckle pin the pin is suitable for retaining of the knuckle and no loading conditions is determined over it but due to the manufacturability of the knuckle itself the failure of knuckle is undertaken thus the possible solution is presented in this thesis. The papers related to this topic are studied for any recent advancement in the knuckle pin while no relevant problem is defined and possible remedy is determined. Also the study focuses on the optimization of design parameters kept in mind for the knuckle pin. The Neural Network Tool, a nontraditional global optimization technique has been used as the solution methodology for its inherent advantages. Optimal results so obtained are compared with remodeled knuckle pin with stress minimizing effect considered as a key factor. The aim of the present paper is to study calculate the stresses in Knuckle joint using analytical method. Further study in this direction can made by using various directions of the pin and the capacity to withstand load.

Keywords: knuckle joint pin, spiral pin, Neural Network Tool

Edition: Volume 5 Issue 2, February 2016,

Pages: 1484 - 1489

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