Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study
Conductive PLA is an innovative composite material that combines the ecological benefits of polylactic acid, a biodegradable thermoplastic, with electrical conductivity properties. Usually used in additive manufacturing for its ease of printing and low environmental impact, PLA remains an insulator,...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2025-04-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/5373/4207 |
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| author | Nassima Naboulsi Fatima Majid Taoufik Hachimi Soufyan Dadoun Najoua Barhoumi Kaouther Khlifi |
| author_facet | Nassima Naboulsi Fatima Majid Taoufik Hachimi Soufyan Dadoun Najoua Barhoumi Kaouther Khlifi |
| author_sort | Nassima Naboulsi |
| collection | DOAJ |
| description | Conductive PLA is an innovative composite material that combines the ecological benefits of polylactic acid, a biodegradable thermoplastic, with electrical conductivity properties. Usually used in additive manufacturing for its ease of printing and low environmental impact, PLA remains an insulator, which limits its applications in the electrical field. To overcome this limitation, conductive fillers such as carbon nanotubes or carbon black are being added, opening the way to new functional uses. This study focuses on a specific composite: carbon black-filled PLA (PLA-CB). This material combines the qualities of traditional PLA with enhanced conductivity thanks to the carbon black particles. To assess its performance, a number of mechanical tests were carried out, including tensile tests on samples manufactured by 3D printing using the FFF process. The study focused in particular on the influence of crosshead speed and the impact of different notch shapes on the material's properties. To analyze the durability of PLA-CB, a probabilistic model based on the two-parameter Weibull distribution was used to assess the risk of failure under different conditions. Reliability curves were also established to better understand the tensile stress and strain at break of the material. This approach could also be applied to other 3D-printed polymers to refine their analytical and numerical modeling. |
| format | Article |
| id | doaj-art-ba184d1d6ccd42c8b957887a7c4dba25 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-ba184d1d6ccd42c8b957887a7c4dba252025-08-20T03:53:12ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932025-04-01197224726210.3221/IGF-ESIS.72.1810.3221/IGF-ESIS.72.18Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental studyNassima NaboulsiFatima MajidTaoufik HachimiSoufyan DadounNajoua BarhoumiKaouther KhlifiConductive PLA is an innovative composite material that combines the ecological benefits of polylactic acid, a biodegradable thermoplastic, with electrical conductivity properties. Usually used in additive manufacturing for its ease of printing and low environmental impact, PLA remains an insulator, which limits its applications in the electrical field. To overcome this limitation, conductive fillers such as carbon nanotubes or carbon black are being added, opening the way to new functional uses. This study focuses on a specific composite: carbon black-filled PLA (PLA-CB). This material combines the qualities of traditional PLA with enhanced conductivity thanks to the carbon black particles. To assess its performance, a number of mechanical tests were carried out, including tensile tests on samples manufactured by 3D printing using the FFF process. The study focused in particular on the influence of crosshead speed and the impact of different notch shapes on the material's properties. To analyze the durability of PLA-CB, a probabilistic model based on the two-parameter Weibull distribution was used to assess the risk of failure under different conditions. Reliability curves were also established to better understand the tensile stress and strain at break of the material. This approach could also be applied to other 3D-printed polymers to refine their analytical and numerical modeling.https://www.fracturae.com/index.php/fis/article/view/5373/4207composite materialpla-cbdurabilitymechanical behaviorreliabilityweibull |
| spellingShingle | Nassima Naboulsi Fatima Majid Taoufik Hachimi Soufyan Dadoun Najoua Barhoumi Kaouther Khlifi Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study Fracture and Structural Integrity composite material pla-cb durability mechanical behavior reliability weibull |
| title | Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study |
| title_full | Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study |
| title_fullStr | Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study |
| title_full_unstemmed | Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study |
| title_short | Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study |
| title_sort | predicting the strength of 3d printed conductive composite under tensile load a probabilistic modeling and experimental study |
| topic | composite material pla-cb durability mechanical behavior reliability weibull |
| url | https://www.fracturae.com/index.php/fis/article/view/5373/4207 |
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