2006
DOI: 10.4028/www.scientific.net/amr.13-14.299
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Acoustic Emission Monitoring during Solidification Processes

Abstract: The paper summarizes the experiences acquired from on-line acoustic emission monitoring (herafter AE) of heavy castings during their manufacturing (solidification and following cooling in the mould). They are usually monitored elastic waves generated above all by stress changes in the solid state. In order to exactly determine plastic-elastic transition state the investigation was focused on raising the sensitivity of detection. The suitable experimental technique is discussed in the first part of this article… Show more

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“…This method has been used mainly to monitor the onset of cracking processes in components submitted to external loading. When a material is submitted to stresses, acoustic emission can be generated by a variety of sources, including crack nucleation and propagation, multiple dislocation slip, twinning, grain boundary sliding, realignment or growth of magnetic domains known as the Barkhausen effect, phase transformations in alloys, debonding of fibres in composite materials, or fracture of inclusions in metals. In the present work, we will record the elastic waves spontaneously emitted during the physical and chemical changes that occur during the precipitation of gypsum.…”
Section: Experimental Methods and Simulation Algorithmmentioning
confidence: 99%
“…This method has been used mainly to monitor the onset of cracking processes in components submitted to external loading. When a material is submitted to stresses, acoustic emission can be generated by a variety of sources, including crack nucleation and propagation, multiple dislocation slip, twinning, grain boundary sliding, realignment or growth of magnetic domains known as the Barkhausen effect, phase transformations in alloys, debonding of fibres in composite materials, or fracture of inclusions in metals. In the present work, we will record the elastic waves spontaneously emitted during the physical and chemical changes that occur during the precipitation of gypsum.…”
Section: Experimental Methods and Simulation Algorithmmentioning
confidence: 99%