Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Damage Mechanics of materials and structures Vol. 19, No. 72 (2025)

Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study

Author and affiliation details
  • Nassima Naboulsi Corresponding author Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco ORCID iD0009-0003-3493-2519 naboulsi.n@ucd.ac.ma
  • Fatima Majid Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco ORCID iD0000-0001-8909-8232
  • Taoufik Hachimi Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco
  • Najoua Barhoumi Laboratory of mechanics materials and processes, National high school of engineering of Tunis (ENSIT), 5 rue Taha HussienMonfleury, 1089 Tunis Bab Alleoua, Tunis ORCID iD0000-0002-7005-9601
  • Kaouthar Khlifi Laboratory of mechanics materials and processes, National high school of engineering of Tunis (ENSIT), 5 rue Taha HussienMonfleury, 1089 Tunis Bab Alleoua, Tunis
  • Soufyan Dadoun Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco ORCID iD0009-0004-1853-3910
DOI
10.3221/IGF-ESIS.72.18
Pages
247-262
Published
Licence
CC BY 4.0
Published inVol. 19, No. 72 (2025)Go to the issue

Abstract

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 26 days
  2. Revision requestedUntil the next stage: 8 days
  3. RevisedUntil the next stage: 7 days
  4. AcceptedUntil the next stage: 2 days
  5. Published

How to cite

APA

Naboulsi, N., Majid, F., Hachimi, T., Barhoumi, N., Khlifi, K., & Dadoun, S. (2025). Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study. Fracture and Structural Integrity, 19(72), 247–262. https://doi.org/10.3221/IGF-ESIS.72.18

IEEE

N. Naboulsi, F. Majid, T. Hachimi, N. Barhoumi, K. Khlifi, and S. Dadoun, “Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study,” Fracture and Structural Integrity, vol. 19, no. 72, pp. 247–262, 2025, doi: 10.3221/IGF-ESIS.72.18.

MLA

Naboulsi, Nassima, et al. “Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study.” Fracture and Structural Integrity, vol. 19, no. 72, 2025, pp. 247–262. https://doi.org/10.3221/IGF-ESIS.72.18.

Chicago

Naboulsi, Nassima, Fatima Majid, Taoufik Hachimi, Najoua Barhoumi, Kaouthar Khlifi, and Soufyan Dadoun. 2025. “Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study.” Fracture and Structural Integrity 19 (72): 247–262. https://doi.org/10.3221/IGF-ESIS.72.18.

Harvard

Naboulsi, N., Majid, F., Hachimi, T., Barhoumi, N., Khlifi, K. and Dadoun, S. (2025) ‘Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study’, Fracture and Structural Integrity, 19(72), pp. 247–262. doi: 10.3221/IGF-ESIS.72.18.

Vancouver

Naboulsi N, Majid F, Hachimi T, Barhoumi N, Khlifi K, Dadoun S. Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study. Fracture and Structural Integrity. 2025;19(72):247-262. doi:10.3221/IGF-ESIS.72.18

BibTeX

@article{naboulsi2025, author = {Naboulsi, Nassima and Majid, Fatima and Hachimi, Taoufik and Barhoumi, Najoua and Khlifi, Kaouthar and Dadoun, Soufyan}, title = {Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study}, journal = {Fracture and Structural Integrity}, year = {2025}, volume = {19}, number = {72}, pages = {247--262}, doi = {10.3221/IGF-ESIS.72.18}, url = {https://doi.org/10.3221/IGF-ESIS.72.18}, issn = {1971-8993} }

RIS

TY - JOUR AU - Naboulsi, Nassima AU - Majid, Fatima AU - Hachimi, Taoufik AU - Barhoumi, Najoua AU - Khlifi, Kaouthar AU - Dadoun, Soufyan TI - Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2025 DA - 2025/03/24 VL - 19 IS - 72 SP - 247 EP - 262 DO - 10.3221/IGF-ESIS.72.18 UR - https://doi.org/10.3221/IGF-ESIS.72.18 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2025 Nassima Naboulsi, Fatima Majid, Taoufik Hachimi, Najoua Barhoumi, Kaouthar Khlifi, Soufyan Dadoun.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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