Title of article :
Nonlinear Model of Vibrating Screen to Determine Permissible Spring Deterioration for Proper Separation
Author/Authors :
Rodriguez,Cristian G. Department of Mechanical Engineering - University of Concepcion, Chile , Moncada,Manuel A. Department of Mechanical Engineering - University of Concepcion, Chile , Dufeu, Emilio E. Department of Mechanical Engineering - University of Concepcion, Chile , Razeto, Mario I. Department of Mechanical Engineering - University of Concepcion, Chile
Pages :
8
From page :
1
To page :
8
Abstract :
Springs of vibrating screens are prone to fatigue induced failure because they operate in a heavy duty environment, with abrasive dust and under heavy cyclic loads. If a spring breaks, the stiffness at supporting positions changes, and therefore the amplitude of motion and the static and dynamic angular inclination of deck motion also change. This change in the amplitude and in the inclination of motion produces a reduction in separation efficiency. Available models are useful to determine motion under nominal operating conditions when angular displacement is not significant. However in practice there is significant angular motion during startup, during shutdown, or under off-design operating conditions. In this article, a two-dimensional three-degree-of-freedom nonlinear model that considers significant angular motion and damping is developed. The proposed model allows the prediction of vibrating screen behavior when there is a reduction in spring stiffness. Making use of this model for an actual vibrating screen in operation in industry has permitted determining a limit for spring’s failure before separation efficiency is affected. This information is of practical value for operation and maintenance staff helping to determine whether or not it is necessary to change springs, and hence optimizing stoppage time.
Keywords :
Proper Separation , Spring Deterioration , Nonlinear Model , Determine Permissible , Vibrating Screen
Journal title :
Shock and Vibration
Serial Year :
2016
Full Text URL :
Record number :
2615414
Link To Document :
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