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Computer Aided Analysis of Mechanism Considering the Effect of Wear at Joints-ANN Approach


Affiliations
1 Department of Mechanical Engineering, Visvesvaraya Regional College of Engineering, Nagpur-440011, India
2 Govt. Polytechnique, Arvi, Maharashtra, India
     

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Analyzing the wear phenomenon by considering the combined and interactive effect of several identified parameters, particularly when the variations of parameters is simultaneous, forms the main theme for present investigation. In this paper, the objective was to estimate the growth of clearance in the joints of a four bar chain with specific condition of the static and inertial load. The objective is also to develop neural network based on the readings obtained through experiment and to ascertain the clearance growth due to wear at the joints under the variable load. In the investigation, the attempt has been made to develop trained neural network using Back propagation method. Experimental findings are synthesized in neural network.
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  • Computer Aided Analysis of Mechanism Considering the Effect of Wear at Joints-ANN Approach

Abstract Views: 225  |  PDF Views: 0

Authors

A. M. Kuthe
Department of Mechanical Engineering, Visvesvaraya Regional College of Engineering, Nagpur-440011, India
R. M. Sakhalkhale
Govt. Polytechnique, Arvi, Maharashtra, India

Abstract


Analyzing the wear phenomenon by considering the combined and interactive effect of several identified parameters, particularly when the variations of parameters is simultaneous, forms the main theme for present investigation. In this paper, the objective was to estimate the growth of clearance in the joints of a four bar chain with specific condition of the static and inertial load. The objective is also to develop neural network based on the readings obtained through experiment and to ascertain the clearance growth due to wear at the joints under the variable load. In the investigation, the attempt has been made to develop trained neural network using Back propagation method. Experimental findings are synthesized in neural network.