Analysis of non-isothermal mold filling process in resin transfer molding (RTM) and structural reaction injection molding (SRIM)
dc.contributor.author | Chang, W. J. | en_US |
dc.contributor.author | Kikuchi, Noboru | en_US |
dc.date.accessioned | 2006-09-11T19:25:33Z | |
dc.date.available | 2006-09-11T19:25:33Z | |
dc.date.issued | 1995-04 | en_US |
dc.identifier.citation | Chang, W.; Kikuchi, N.; (1995). "Analysis of non-isothermal mold filling process in resin transfer molding (RTM) and structural reaction injection molding (SRIM)." Computational Mechanics 16(1): 22-35. <http://hdl.handle.net/2027.42/47816> | en_US |
dc.identifier.issn | 1432-0924 | en_US |
dc.identifier.issn | 0178-7675 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/47816 | |
dc.description.abstract | In this paper, we present a modeling and numerical simulation of a mold filling process in resin transfer molding/structural reaction injection molding utilizing the homogenization method. Conventionally, most of the mold filling analyses have been based on a macroscopic flow model utilizing Darcy's law. While Darcy's law is successful in describing the averaged flow field within the mold cavity packed with a porous fiber preform, it requires experiments to obtain the permeability tensor and is limited to the case of porous fiber preform-it can not be used to model the resin flow through a double porous fiber preform. In the current approach, the actual flow field is considered, to which the homogenization method is applied to obtain the averaged flow model. The advantages of the current approach are: parameters such as the permeability and effective heat conductivity of the impregnanted fiber preform can be calculated; the actual flow field as well as averaged flow field can be obtained; and the resin flow through a double porous fiber preform can be modelled. In the presentation, we first derive the averaged flow model for the resin flow through a porous fiber preform and compare it with that of other methods. Next, we extend the result to the case of double porous fiber preform. An averaged flow model for the resin flow through a double porous fiber preform is derived, and a simulation program is developed which is capable of predicting the flow pattern and temperature distribution in the mold filling process. Finally, an example of a three dimensional part is provided. | en_US |
dc.format.extent | 1445380 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag | en_US |
dc.subject.other | Systems and Information Theory in Engineering | en_US |
dc.subject.other | Theoretical and Applied Mechanics | en_US |
dc.subject.other | Thermodynamics | en_US |
dc.subject.other | Numerical and Computational Methods in Engineering | en_US |
dc.subject.other | Condensed Matter and Material Sciences | en_US |
dc.subject.other | Engineering | en_US |
dc.title | Analysis of non-isothermal mold filling process in resin transfer molding (RTM) and structural reaction injection molding (SRIM) | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Mechanical Engineering | en_US |
dc.subject.hlbsecondlevel | Engineering (General) | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dept. of Mechanical Engineering and Applied Mechanics, The University of Michigan, 48109-2125, Ann Arbor, Michigan, USA | en_US |
dc.contributor.affiliationum | Dept. of Mechanical Engineering and Applied Mechanics, The University of Michigan, 48109-2125, Ann Arbor, Michigan, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/47816/1/466_2004_Article_BF00369882.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00369882 | en_US |
dc.identifier.source | Computational Mechanics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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