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Artificial Neural Network Analysis of the Multi Cylinder Engine Crankshaft by using MATLAB

Author(s):

V K Titariya , SAM College of Engineering & Technology, Bhopal; Vinod Kumar Prajapati, SAM College of Engineering & Technology, Bhopal

Keywords:

Crankshaft; Simulation; Artificial Neural Network; MATLAB

Abstract

The crankshaft is a complex component, it subjected to high loads in internal combustion engines, leading to bending and torsion stress cycles. In this work, the study of the parametric performance of the Multi cylinder Engine Crankshaft was carried out. Analyses were done on 3-D model of Crankshaft, making use of symmetry as far as possible. Many governing parameters of the crank throw are included in this study like; journal diameters, journal overlap, crankpin and web thickness. The objective of this work is to study the performance of the Multi cylinder Engine Crankshaft using MATLAB. In this manner artificial neural network analysis was performed. It was found that the simulation of full crankshaft process is too time consuming to be used in everyday engineering work. However, Total Deformation, Equivalent Stress, Equivalent Elastic Strain and Strain Energy can successfully be predicted with simplified models.

Other Details

Paper ID: IJSRDV6I120165
Published in: Volume : 6, Issue : 12
Publication Date: 01/03/2019
Page(s): 241-247

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