Textile composite heat transfer - Revision history

Joncrookston at 17:56, 13 March 2007

2007-03-13T17:56:32Z

WikiSysop at 17:39, 13 March 2007

2007-03-13T17:39:58Z

WikiSysop at 17:33, 13 March 2007

2007-03-13T17:33:42Z

WikiSysop at 17:26, 13 March 2007

2007-03-13T17:26:28Z

WikiSysop at 17:25, 13 March 2007

2007-03-13T17:25:31Z

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TexGen has been used to model steady-state thermal conduction in textile composites.

The objectives of the work are to predict the effect of the finer preform geometry on heat transfer and to offer a quantitative demonstration of the natural variability of physical properties in textile composites. In this case the physical phenomenon that is modelled is simple and the associated mathematical apparatus is well resolved. This allows stronger emphasis on the geometry of the preform and its effects.

Beyond the different textile architectures the exact configuration taken by individual yarns within the dry textiles was prescribed, as opposed to being determined from mechanistic models are through appropriate observation techniques. Precise yarn sections and paths were varied systematically for non-crimp fabrics <ref>S. Hind, D. Raizenne, F. Robitaille. “Prediction of the effective transverse thermal conductivity of carbon based textile composites with varying constituent properties and reinforcement geometry”, Proc. Canada Japan Worshop on Composites, Toronto, Canada, 2006.</ref> and weaves <ref>S. Hind, F. Robitaille, D. Raizenne. “Parametric unit cell modelling of the effective transverse thermal conductivity of carbon plain weave composites”, Proc. International Conference on Textile Composites (TEXCOMP-8), Nottingham, UK, 2006.</ref>. Simulation results show the way in which parameters such as the yarn cross section aspect ratio, section shape, yarn thickness, yarn spacing and others affect the thermal conductivity. Furthermore, changes in conductivity were seem with in cases of varying yarn fibre volume fraction, where the overall fibre volume fractions was kept constant. As such, the variability in conductivity at constant overall vf could be quantified.

Applications for the work range from carbon composite tooling for aerospace application and NRC/IAR (Ottawa) proprietary Smart Tooling technology, to thermal shielding and aircraft structural repair. Validation is ongoing for coupons using Hukseflux Thasys & Thisys apparatus, and for aircraft structures.

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 The objectives of the work are to predict the effect of the finer preform geometry on heat transfer and to offer a quantitative demonstration of the natural variability of physical properties in textile composites. In this case the physical phenomenon that is modelled is simple and the associated mathematical apparatus is well resolved. This allows stronger emphasis on the geometry of the preform and its effects.
-Beyond the different textile architectures the exact configuration taken by individual yarns within the dry textiles was prescribed, as opposed to being determined from mechanistic models are through appropriate observation techniques. Precise yarn sections and paths were varied systematically for non-crimp fabrics <ref>S. Hind, D. Raizenne, F. Robitaille. "Prediction of the effective transverse thermal conductivity of carbon based textile composites with varying constituent properties and reinforcement geometry", Proc. Canada Japan Worshop on Composites, Toronto, Canada, 2006.</ref> and weaves <ref>S. Hind, F. Robitaille, D. Raizenne. "Parametric unit cell modelling of the effective transverse thermal conductivity of carbon plain weave composites", Proc. International Conference on Textile Composites (TEXCOMP-8), Nottingham, UK, 2006.</ref>. Simulation results show the way in which parameters such as the yarn cross section aspect ratio, section shape, yarn thickness, yarn spacing and others affect the thermal conductivity. Furthermore, changes in conductivity were seen within cases of varying yarn fibre volume fraction, where the overall fibre volume fractions was kept constant. As such, the variability in conductivity at constant overall volume fraction could be quantified.
+Beyond the different textile architectures the exact configuration taken by individual yarns within the dry textiles was prescribed, as opposed to being determined from mechanistic models or through appropriate observation techniques. Precise yarn sections and paths were varied systematically for non-crimp fabrics <ref>S. Hind, D. Raizenne, F. Robitaille. "Prediction of the effective transverse thermal conductivity of carbon based textile composites with varying constituent properties and reinforcement geometry", Proc. Canada Japan Worshop on Composites, Toronto, Canada, 2006.</ref> and weaves <ref>S. Hind, F. Robitaille, D. Raizenne. "Parametric unit cell modelling of the effective transverse thermal conductivity of carbon plain weave composites", Proc. International Conference on Textile Composites (TEXCOMP-8), Nottingham, UK, 2006.</ref>. Simulation results show the way in which parameters such as the yarn cross section aspect ratio, section shape, yarn thickness, yarn spacing and others affect the thermal conductivity. Furthermore, changes in conductivity were seen within cases of varying yarn fibre volume fraction, where the overall fibre volume fractions was kept constant. As such, the variability in conductivity at constant overall volume fraction could be quantified.
 Applications for the work range from carbon composite tooling for aerospace application and NRC/IAR (Ottawa) proprietary Smart Tooling technology, to thermal shielding and aircraft structural repair. Validation is ongoing for coupons using Hukseflux Thasys & Thisys apparatus, and for aircraft structures.

@@ Line 6: / Line 6: @@
 The objectives of the work are to predict the effect of the finer preform geometry on heat transfer and to offer a quantitative demonstration of the natural variability of physical properties in textile composites. In this case the physical phenomenon that is modelled is simple and the associated mathematical apparatus is well resolved. This allows stronger emphasis on the geometry of the preform and its effects.
-Beyond the different textile architectures the exact configuration taken by individual yarns within the dry textiles was prescribed, as opposed to being determined from mechanistic models are through appropriate observation techniques. Precise yarn sections and paths were varied systematically for non-crimp fabrics <ref>S. Hind, D. Raizenne, F. Robitaille. "Prediction of the effective transverse thermal conductivity of carbon based textile composites with varying constituent properties and reinforcement geometry", Proc. Canada Japan Worshop on Composites, Toronto, Canada, 2006.</ref> and weaves <ref>S. Hind, F. Robitaille, D. Raizenne. "Parametric unit cell modelling of the effective transverse thermal conductivity of carbon plain weave composites", Proc. International Conference on Textile Composites (TEXCOMP-8), Nottingham, UK, 2006.</ref>. Simulation results show the way in which parameters such as the yarn cross section aspect ratio, section shape, yarn thickness, yarn spacing and others affect the thermal conductivity. Furthermore, changes in conductivity were seem with in cases of varying yarn fibre volume fraction, where the overall fibre volume fractions was kept constant. As such, the variability in conductivity at constant overall vf could be quantified.
+Beyond the different textile architectures the exact configuration taken by individual yarns within the dry textiles was prescribed, as opposed to being determined from mechanistic models are through appropriate observation techniques. Precise yarn sections and paths were varied systematically for non-crimp fabrics <ref>S. Hind, D. Raizenne, F. Robitaille. "Prediction of the effective transverse thermal conductivity of carbon based textile composites with varying constituent properties and reinforcement geometry", Proc. Canada Japan Worshop on Composites, Toronto, Canada, 2006.</ref> and weaves <ref>S. Hind, F. Robitaille, D. Raizenne. "Parametric unit cell modelling of the effective transverse thermal conductivity of carbon plain weave composites", Proc. International Conference on Textile Composites (TEXCOMP-8), Nottingham, UK, 2006.</ref>. Simulation results show the way in which parameters such as the yarn cross section aspect ratio, section shape, yarn thickness, yarn spacing and others affect the thermal conductivity. Furthermore, changes in conductivity were seen within cases of varying yarn fibre volume fraction, where the overall fibre volume fractions was kept constant. As such, the variability in conductivity at constant overall volume fraction could be quantified.
 Applications for the work range from carbon composite tooling for aerospace application and NRC/IAR (Ottawa) proprietary Smart Tooling technology, to thermal shielding and aircraft structural repair. Validation is ongoing for coupons using Hukseflux Thasys & Thisys apparatus, and for aircraft structures.

← Older revision		Revision as of 17:33, 13 March 2007
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	TexGen has been used to model steady-state thermal conduction in textile composites.		TexGen has been used to model steady-state thermal conduction in textile composites.
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		+	[[Image:Heatflux.png\|thumb\|Transverse heat flux in a non-crimp, carbon-reinforced composite]]
		+	[[Image:Thermalcond.png\|thumb\|Natural variation of the thermal conductivity resulting from geometric changes, superimposed to the linear trend – results obtained from simulations]]

	The objectives of the work are to predict the effect of the finer preform geometry on heat transfer and to offer a quantitative demonstration of the natural variability of physical properties in textile composites. In this case the physical phenomenon that is modelled is simple and the associated mathematical apparatus is well resolved. This allows stronger emphasis on the geometry of the preform and its effects.		The objectives of the work are to predict the effect of the finer preform geometry on heat transfer and to offer a quantitative demonstration of the natural variability of physical properties in textile composites. In this case the physical phenomenon that is modelled is simple and the associated mathematical apparatus is well resolved. This allows stronger emphasis on the geometry of the preform and its effects.