Paper
13 February 2001 Characterization of polymer composites during autoclave manufacturing by Fourier transform Raman spectroscopy
Stuart Farquharson, Wayne W. Smith, Elias J. Rigas, Dana Granville
Author Affiliations +
Proceedings Volume 4201, Optical Methods for Industrial Processes; (2001) https://doi.org/10.1117/12.417383
Event: Environmental and Industrial Sensing, 2000, Boston, MA, United States
Abstract
12 The superior engineering properties of fiber reinforced polymer matrix composites, primarily the high strength-to- weight ratio, make them suitable to applications ranging from sporting goods to aircraft components (e.g. helicopter blades). Unfortunately, consistent fabrication of components with desired mechanical properties has proven difficult, and has led to high production costs. This is largely due to the inability to monitor and control polymer cure, loosely defined as the process of polymer chain extension and cross- linking. Even with stringent process control, slight variations in the pre-polymer formulations (e.g. prepreg) can influence reaction rates, reaction mechanisms, and ultimately, product properties. In an effort to optimize the performance of thermoset composite, we have integrated fiber optic probes between the plies of laminates and monitored cure by Raman spectroscopy, with the eventual goal of process control. Here we present real-time measurements of two high performance aerospace companies cured within an industrial autoclave.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stuart Farquharson, Wayne W. Smith, Elias J. Rigas, and Dana Granville "Characterization of polymer composites during autoclave manufacturing by Fourier transform Raman spectroscopy", Proc. SPIE 4201, Optical Methods for Industrial Processes, (13 February 2001); https://doi.org/10.1117/12.417383
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Cited by 8 scholarly publications.
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KEYWORDS
Composites

Raman spectroscopy

Fiber optics

Epoxies

Polymers

Manufacturing

Fourier transforms

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