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Tape surface characterization and classification in automated tape placement processability: Modeling and numerical analysis

Article dans une revue avec comité de lecture
Author
ARGERICH, Clara
IBÁÑEZ, Rubén
LEÓN, Angel
206040 Laboratoire Lorrain de Recherche en Informatique et ses Applications [LORIA]
ccABISSET-CHAVANNE, Emmanuelle
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
111023 École Centrale de Nantes [ECN]
445111 Institut de Calcul Intensif [ICI]
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/15396
DOI
10.3934/matersci.2018.5.870
Date
2018
Journal
AIMS Materials Science

Abstract

Abstract: Many composite forming processes are based on the consolidation of preimpregnated preforms of different types, e.g., sheets, tapes, .... Composite plies are put in contact using different technologies and consolidation is performed by supplying heat and pressure, the first to promote molecular diffusion at the plies interface and both (heat and pressure) to facilitate the intimate contact by squeezing surface asperities. Optimal processing requires an intimate contact as large as possible between the surfaces put in contact, for different reasons: (i) first, a perfect contact becomes compulsory to make possible molecular diffusion at the interface level in order to ensure bulk properties at interfaces; (ii) second, imperfect contact conditions result in micro and meso pores located at the interface, weakening it from the mechanical point of view, where macro defects (cracks, plies delamination, etc.) are susceptible of appearing. As just indicated, the main process parameters are the applied heat and pressure, as well as the process time (associated with the laying head velocity). These parameters should be adjusted to ensure optimal consolidation, avoiding imperfect bonding or thermal degradation. However, experiments evidence that the consolidation degree is strongly dependent on the surface characteristics (roughness). The same process parameters applied to different surfaces produce very different degrees of intimate contact. The present study aims at identifying the main surface descriptors able to describe the evolution of the degree of intimate contact during processing. That knowledge is crucial for online process control in order to maximize both productivity and part quality.

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