Tape surfaces characterization with persistence images
Autor: | Frahi, Tarek., Argerich Martín, Clara., Yun, Minyoung., Falcó Montesinos, Antonio., Barasinski, Anais., Chinesta, Francisco. |
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Přispěvatelé: | Producción Científica UCH 2020, UCH. Departamento de Matemáticas, Física y Ciencias Tecnológicas, Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Universidad Cardenal Herrera-CEU (CEU-UCH), Université de Pau et des Pays de l'Adour (UPPA), Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM), Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
random forests
Materiales compuestos Matériaux [Sciences de l'ingénieur] atp composites manufacturing Composite materials Thin films homology persistence tape surfaces [SPI.MAT]Engineering Sciences [physics]/Materials topological data analysis ATP composites manufacturing code2vect Superficies (Tecnología) - Modelos matemáticos machine learning classification lcsh:TA401-492 Surfaces (Technology) - Mathematical models regression lcsh:Materials of engineering and construction. Mechanics of materials Películas delgadas surface characterization |
Zdroj: | AIMS Materials Science, Vol 7, Iss 4, Pp 364-380 (2020) AIMS Materials Science AIMS Materials Science, AIMS Press, 2020, 7 (4), pp.364-380. ⟨10.3934/ms.2020.4.364⟩ CEU Repositorio Institucional Fundación Universitaria San Pablo CEU (FUSPCEU) |
ISSN: | 2372-0484 |
DOI: | 10.3934/matersci.2020.4.364/fulltext.html |
Popis: | Este artículo se encuentra disponible en la siguiente URL: http://www.aimspress.com/article/10.3934/matersci.2020.4.364 The aim of this paper is to leverage the main surface topological descriptors to classify tape surface profiles, through the modelling of the evolution of the degree of intimate contact along the consolidation of pre-impregnated preforms associated to a composite forming process. It is well-known at an experimental level that the consolidation degree strongly depends on the surface characteristics (roughness). In particular, same process parameters applied to di erent surfaces produce very di erent degrees of intimate contact. It allows us to think that the surface topology plays an important role along this process. However, solving the physics-based models for simulating the roughness squeezing occurring at the tapes interface represents a computational e ort incompatible with online process control purposes. An alternative approach consists of taking a population of di erent tapes, with di erent surfaces, and simulating the consolidation for evaluating for each one the progression of the degree of intimate contact –DIC– while compressing the heated tapes, until reaching its final value at the end of the compression. The final goal is creating a regression able to assign a final value of the DIC to any surface, enabling online process control. The main issue of such an approach is the rough surface description, that is, the most precise and compact way of describing it from some appropriate parameters easy to extract experimentally, to be included in the just referred regression. In the present paper we consider a novel, powerful and very promising technique based on the topological data analysis –TDA– that considers an adequate metrics to describe, compare and classify rough surfaces. |
Databáze: | OpenAIRE |
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