• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods

Article dans une revue avec comité de lecture
Author
CAI, Ruijun
465414 Central South University [Changsha]
WEN, Wei
450363 Lancaster University
WANG, Kui
465414 Central South University [Changsha]
PENG, Yong
465414 Central South University [Changsha]
ccAHZI, Said
217648 Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie [ICube]
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/23642
DOI
10.1016/j.mtcomm.2022.103985
Date
2022-07
Journal
Materials Today Communications

Abstract

3D-printed continuous ramie fiber reinforced polypropylene composites (CRFRPP) are expected to ensure good mechanical properties while meeting the requirements of environmental friendliness and sustainability. To promote the wide industrial application of CRFRPP, this work investigated the effects of printing parameters (extrusion flow rate, printing temperature, layer thickness and printing speed) on the interfacial properties of CRFRPP. The interlayer and intralayer interfacial properties of CRFRPP with different printing parameters were studied using the design of experiment approach. Machine learning methods and response surface methodology prediction were also carried out based on the experimental results to bridge the printing parameters and interfacial properties. According to the prediction results, the printing parameters were optimized to improve the production efficiency while ensuring the desired interfacial performance. At last, the bending tests were conducted to investigate how the difference in interfacial properties can be translated to the mechanical performance. The results found that printed specimens with weak interfacial strength suffered interlaminar delamination failure when subjected to bending loads, greatly weakening the mechanical properties of the composites.

Files in this item

Name:
PIMM_MTC_2022_CHINESTA.pdf
Size:
9.375Mb
Format:
PDF
Description:
Tailoring interfacial properties ...
Embargoed until:
2023-01-11
View/Open

Collections

  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • Advances in hybrid fibers reinforced polymer-based composites prepared by FDM: A review on mechanical properties and prospects 
    Article dans une revue avec comité de lecture
    LI, Shixian; CHENG, Ping; ccAHZI, Said; PENG, Yong; WANG, Kui; ccCHINESTA SORIA, Francisco; CORREIA, J.P.M. (Elsevier, 2023-04)
    Recently published research indicated that, in additive manufacturing fields, single fiber reinforcements often increased some mechanical properties of composites, but at the same time decreased other mechanical behaviors, ...
  • Contributions of interfaces on the mechanical behavior of 3D printed continuous fiber reinforced composites 
    Article dans une revue avec comité de lecture
    LI, Shixian; WANG, Kui; ZHU, Wanying; AHZI, Said; PENG, Yong; ccCHINESTA SORIA, Francisco (Elsevier BV, 2022-07)
    3D printing using continuous fiber reinforcement provides a new technical method for preparing complex components with high mechanical behaviors. However, these printed composites have great differences in interfacial ...
  • Non-intrusive proper generalized decomposition involving space and parameters: application to the mechanical modeling of 3D woven fabrics 
    Article dans une revue avec comité de lecture
    LEÓN, Angel; MUELLER, SEBASTIEN; DE LUCA, Patrick; SAID, Rajab; DUVAL, Jean Louis; ccCHINESTA SORIA, Francisco (SpringerOpen, 2019)
    In our former works we proposed different Model Order Reduction strategies for alleviating the complexity of computational simulations. In fact we proved that separated representations are specially appealing for addressing ...
  • Dynamic Behaviors of Couple Stress Quadrilateral Thick Microplates within a Refined DQFE Framework 
    Article dans une revue avec comité de lecture
    PENG, Zihao; ZHANG, Bo; JEBAHI, Mohamed; WEN, Pengjun; LI, Cheng; ZHANG, Xu (World Scientific Pub Co Pte Ltd, 2025-03)
    This study proposes a novel refined differential quadrature finite element (DQFE) framework for the size-dependent dynamic analysis of thick quadrilateral microplates, incorporating couple-stress effect and two kinematic ...
  • Complex Algorithms for Data-Driven Model Learning in Science and Engineering 
    Article dans une revue avec comité de lecture
    MONTÁNS, Francisco J.; GÓMEZ-BOMBARELLI, Rafael; KUTZ, J. Nathan; ccCHINESTA SORIA, Francisco (Hindawi Limited, 2019)
    no abstract

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales