JSM 2004 - Toronto

Abstract #302111

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Activity Number: 428
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #302111
Title: Statistical Modeling of Flow Instabilities in an Engineering System
Author(s): Carolyn B. Morgan*+ and Morris H. Morgan, III and Adrian Cox
Companies: Hampton University and Hampton University and Hampton University
Address: Queen and Tyler Streets, Hampton, VA, 23668,
Keywords: time series ; modeling ; autocorrelation ; analysis
Abstract:

Spouted beds are popular systems for many engineering applications. Recent experimental investigations have been conducted to develop an understanding of the ranges of fluid and particle conditions that give rise to local instabilities in these and similar combusting systems. These instabilities often give rise to large bed disturbances that, under certain conditions, grow into macro-scale disturbances that affect combustion efficiencies and performance. This paper will describe the development of the two limiting ordinary differential equation models that describe such flow conditions and system performance. Prior experimental work has focused on the connection between the system fluid/particle mechanical stability and combustor operating conditions. Time series analysis is used to characterize the effect of internal process flow rates, mixer volume, reactor size, and electric current levels on system stability. The present work shows that the autocorrelation function is a useful statistical tool for characterizing the onset of such chaotic type flows. When the voidage is chaotic, information about the past behavior is lost.

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