Your browser doesn't support javascript.
loading
Biopolymer Degradation Analysis: Accelerated Life Testing Study to Characterize Polylactic Acid Durability.
Arias-Nava, Elias H; Sullivan, B Patrick; Valles-Rosales, Delia J.
Afiliação
  • Arias-Nava EH; Departament of Industrial Engineering and Operations, Instituto Tecnologico Autonomo de Mexico, Río Hondo 1, Altavista, Álvaro Obregón, Ciudad de México 01080, Mexico.
  • Sullivan BP; Department of Design Production, University of Twente, 7522 NB Enschede, The Netherlands.
  • Valles-Rosales DJ; Department of Industrial Engineering, New Mexico State University, Las Cruces, NM 88003, USA.
Materials (Basel) ; 14(19)2021 Sep 30.
Article em En | MEDLINE | ID: mdl-34640125
While the degradation of Polylactic Acid (PLA) has been studied for several years, results regarding the mechanism for determining degradation are not completely understood. Through accelerated degradation testing, data can be extrapolated and modeled to test parameters such as temperature, voltage, time, and humidity. Accelerated lifetime testing is used as an alternative to experimentation under normal conditions. The methodology to create this model consisted of fabricating series of ASTM specimens using extrusion and injection molding. These specimens were tested through accelerated degradation; tensile and flexural testing were conducted at different points of time. Nonparametric inference tests for multivariate data are presented. The results indicate that the effect of the independent variable or treatment effect (time) is highly significant. This research intends to provide a better understanding of biopolymer degradation. The findings indicated that the proposed statistical models can be used as a tool for characterization of the material regarding the durability of the biopolymer as an engineering material. Having multiple models, one for each individual accelerating variable, allow deciding which parameter is critical in the characterization of the material.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: México

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: México