The use of acoustic emission monitoring to rank paper materials with respect to their fracture toughness
Gradin, P.A., Graham, D., Nygård, P. and Vallen, H. (2008) The use of acoustic emission monitoring to rank paper materials with respect to their fracture toughness. Experimental Mechanics, 48 (1). pp. 133-137. ISSN 0014-4851 (Print), 1741-2765 (Online) (doi:10.1007/s11340-007-9055-7)Full text not available from this repository.
In this study, a simplified Acoustic Emission (AE) equipment, in essence an AE signal conditioner and a USB (Universal Serial Bus) data acquisition system, is used to study what happens in paper structures during mechanical loading. By the use of such equipment, some parameters that can be extracted are e.g. the stress and strain at onset of AE, the stress and strain at the onset of rapid AE defined as some numerical factor (larger then one) times the initial emission rate, the emission rate at the first stage of loading and the stress and strain at final failure i.e. when the specimen loses its load carrying ability.In this study however, the interest is focused on one particular parameter i.e. the elastic strain energy density W c at onset of AE. This is a parameter with a clear physical meaning and in this study, the correlation between this parameter and a fracture toughness measure, is investigated.The conclusion is that when nine different paper materials (with a large span regarding properties) are considered, there is a correlation (however not linear) between these two parameters.
|Additional Information:|| Published online: 24 May 2007  Financial support was received from the European Commissions 5th frame program under contract No QLK%-CT-2002-00772.|
|Uncontrolled Keywords:||acoustic emission, damage mechanics, fracture toughness, bond failure, J-integral|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|School / Department / Research Groups:||School of Computing & Mathematical Sciences|
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
School of Computing & Mathematical Sciences > eCentre
|Last Modified:||16 Oct 2012 14:30|
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