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Tape surface characterization and classification in automated tape placement processability: Modeling and numerical analysis
- Source :
- AIMS Materials Science, Vol 5, Iss 5, Pp 870-888 (2018), AIMS Materials Science, AIMS Materials Science, AIMS Press, 2018, 5 (5), pp.870-888. ⟨10.3934/matersci.2018.5.870⟩
- Publication Year :
- 2018
- Publisher :
- AIMS Press, 2018.
-
Abstract
- International audience; 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.
- Subjects :
- Materials science
Composite number
Mechanical engineering
02 engineering and technology
Surface finish
Curvature
Sciences de l'ingénieur
[SPI]Engineering Sciences [physics]
0203 mechanical engineering
Thermal
Sparse Proper Generalized Decomposition
lcsh:TA401-492
Process control
Molecular diffusion
Consolidation (soil)
Forming processes
021001 nanoscience & nanotechnology
ATP composites manufacturing
020303 mechanical engineering & transports
machine learning
nonlinear regression
curvature
ATP composites manufacturing/Consolidation/Curvature/Machine learning/Nonlinear regression/Sparse Proper Generalized Decomposition/Surface characterization
lcsh:Materials of engineering and construction. Mechanics of materials
0210 nano-technology
consolidation
surface characterization
Subjects
Details
- Language :
- English
- ISSN :
- 23720484
- Volume :
- 5
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- AIMS Materials Science
- Accession number :
- edsair.doi.dedup.....416f9169c3a7cddc418b4f89e861e7a4
- Full Text :
- https://doi.org/10.3934/matersci.2018.5.870⟩