Characterization of PET preforms using spectral domain optical coherence tomography

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Hamid Hosseiny (Autor) Outra; Manuel Joao Ferreira (Autor) Outra; Teresa Martins (Autor) Outra; Carla C Carmelo Rosa (Autor) FCUP

Ata de Conferência Internacional

Título: 8TH IBEROAMERICAN OPTICS MEETING AND 11TH LATIN AMERICAN MEETING ON OPTICS, LASERS, AND APPLICATIONS

8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications

Porto, PORTUGAL, JUL 22-26, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Física

Outras Informações

ID Authenticus: P-006-K4H

DOI: 10.1117/12.2026942

Abstract (EN): Polyethylene terephthalate (PET) preforms are massively produced nowadays with the purpose of producing food and beverages packaging and liquid containers. Some varieties of these preforms are produced as multilayer structures, where very thin inner film(s) act as a barrier for nutrients leakage. The knowledge of the thickness of this thin inner layer is important in the production line. The quality control of preforms production requires a fast approach and normally the thickness control is performed by destructive means out of the production line. A spectral domain optical coherence tomography (SD-OCT) method was proposed to examine the thin layers in real time. This paper describes a non-destructive approach and all required signal processing steps to characterize the thin inner layers and also to improve the imaging speed and the signal to noise ratio. The algorithm was developed by using graphics processing unit (GPU) with computer unified device architecture (CUDA). This GPU-accelerated white light interferometry technique non-destructively assesses the samples and has high imaging speed advantage, overcoming the bottlenecks in PET performs quality control.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6