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Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry

Methods to predict the fracture of thin carbon fibre-reinforced polymers (CFRPs) under load are of great interest in the automotive industry. The manufacturing of composites involves a high risk of defect occurrence, and the identification of those that lead to failure increases the functional relia...

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Autores principales: Mititelu, Ionuț, Petrișor, Silviu Mihai, Savin, Adriana, Šturm, Roman, Bergant, Zoran, Steigmann, Rozina, Stanciu, Mariana Domnica, Bârsănescu, Paul Doru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658217/
https://www.ncbi.nlm.nih.gov/pubmed/36365501
http://dx.doi.org/10.3390/polym14214507
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author Mititelu, Ionuț
Petrișor, Silviu Mihai
Savin, Adriana
Šturm, Roman
Bergant, Zoran
Steigmann, Rozina
Stanciu, Mariana Domnica
Bârsănescu, Paul Doru
author_facet Mititelu, Ionuț
Petrișor, Silviu Mihai
Savin, Adriana
Šturm, Roman
Bergant, Zoran
Steigmann, Rozina
Stanciu, Mariana Domnica
Bârsănescu, Paul Doru
author_sort Mititelu, Ionuț
collection PubMed
description Methods to predict the fracture of thin carbon fibre-reinforced polymers (CFRPs) under load are of great interest in the automotive industry. The manufacturing of composites involves a high risk of defect occurrence, and the identification of those that lead to failure increases the functional reliability and decreases costs. The performance of CFRPs can be significantly reduced in assembled structures containing stress concentrators. This paper presents a hybrid experimental–numerical method based on the Tsai–Hill criterion for behavior of thin CFRPs at complex loadings that can emphasize the threshold of stress by tracing the σ-τ envelope. Modified butterfly samples were made for shearing, traction, or shearing-with-traction tests in the weakened section by changing the angle of force application α. ANSYS simulations were used to determine the zones of maximum stress concentration. For thin CFRP samples tested with stacking sequences [0](8) and [(45/0)(2)](s), the main mechanical characteristics have been determined using a Dynamic Mechanical Analyzer (DMA) and ultrasound tests. A modified Arcan device (AD) was used to generate data in a biaxial stress state, leading to the characterization of the material as a whole. The generated failure envelope allows for the prediction of failure for other combinations of normal and shear stress, depending on the thickness of the laminations, the stacking order, the pretension of the fasteners, and the method used to produce the laminations. The experimental data using AD and the application of the Tsai–Hill criterion serve to the increase the safety of CFRP components.
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spelling pubmed-96582172022-11-15 Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry Mititelu, Ionuț Petrișor, Silviu Mihai Savin, Adriana Šturm, Roman Bergant, Zoran Steigmann, Rozina Stanciu, Mariana Domnica Bârsănescu, Paul Doru Polymers (Basel) Article Methods to predict the fracture of thin carbon fibre-reinforced polymers (CFRPs) under load are of great interest in the automotive industry. The manufacturing of composites involves a high risk of defect occurrence, and the identification of those that lead to failure increases the functional reliability and decreases costs. The performance of CFRPs can be significantly reduced in assembled structures containing stress concentrators. This paper presents a hybrid experimental–numerical method based on the Tsai–Hill criterion for behavior of thin CFRPs at complex loadings that can emphasize the threshold of stress by tracing the σ-τ envelope. Modified butterfly samples were made for shearing, traction, or shearing-with-traction tests in the weakened section by changing the angle of force application α. ANSYS simulations were used to determine the zones of maximum stress concentration. For thin CFRP samples tested with stacking sequences [0](8) and [(45/0)(2)](s), the main mechanical characteristics have been determined using a Dynamic Mechanical Analyzer (DMA) and ultrasound tests. A modified Arcan device (AD) was used to generate data in a biaxial stress state, leading to the characterization of the material as a whole. The generated failure envelope allows for the prediction of failure for other combinations of normal and shear stress, depending on the thickness of the laminations, the stacking order, the pretension of the fasteners, and the method used to produce the laminations. The experimental data using AD and the application of the Tsai–Hill criterion serve to the increase the safety of CFRP components. MDPI 2022-10-25 /pmc/articles/PMC9658217/ /pubmed/36365501 http://dx.doi.org/10.3390/polym14214507 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mititelu, Ionuț
Petrișor, Silviu Mihai
Savin, Adriana
Šturm, Roman
Bergant, Zoran
Steigmann, Rozina
Stanciu, Mariana Domnica
Bârsănescu, Paul Doru
Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title_full Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title_fullStr Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title_full_unstemmed Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title_short Multi-Criteria Evaluation of the Failure of CFRP Laminates for Frames in the Automotive Industry
title_sort multi-criteria evaluation of the failure of cfrp laminates for frames in the automotive industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658217/
https://www.ncbi.nlm.nih.gov/pubmed/36365501
http://dx.doi.org/10.3390/polym14214507
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