Evidence map›Paper›PMID 39205811›Full record

ArticleACS applied engineering materials2024

Engineering the Crystalline Architecture for Enhanced Properties in Fast-Rate Processing of Poly(ether ether ketone) (PEEK) Nanocomposites.

Behrooz Shirani Bidabadi, Emile Motta de Castro, Mia Carrola, Pratik Koirala, Mehran Tehrani, Amir Asadi

Abstract read
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Article in ACS applied engineering materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Behrooz Shirani BidabadiDepartment of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas 77843-3367, United States.
Emile Motta de CastroJ. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0001-7675-3082
Mia CarrolaDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-3017-3282
Pratik KoiralaWalker Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712-1591, United States.ORCID https://orcid.org/0000-0002-1476-3899
Mehran TehraniWalker Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712-1591, United States.ORCID https://orcid.org/0000-0002-6508-7093
Amir AsadiDepartment of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas 77843-3367, United States.ORCID https://orcid.org/0000-0002-3174-362X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid cooling in fast-rate manufacturing processes such as additive manufacturing and stamp forming limits the development of crystallinity in semicrystalline polymer nanocomposites and, therefore, potential improvements in the mechanical performance. While the nucleation, chain mobility, and crystallization time from rapid cooling are known competing mechanisms in crystallization, herein we elucidate that the crystalline morphology and architecture also play a key role in tuning the mechanical performance. We explore how modifying the spherulite morphology via a cellulose nanocrystal (CNC) and graphene nanoplatelet (GNP) hybrid system in their pristine form can improve or preserve the mechanical properties of poly(ether ether ketone) (PEEK) nanocomposites under two extreme cooling rates (fast -460 °C/min and slow -0.7 °C/min). A scalable manufacturing methodology using water as the medium to disperse the powder system was developed, employing a CNC as a dispersing agent and stabilizer for PEEK and GNP. Despite the expected limited mechanical reinforcement due to thermal degradation, CNCs significantly impacted PEEK's crystalline architecture and mechanical performance, suggesting that surface interactions via lattice matching with PEEK's (200) crystallographic plane play a critical role in engineering the microstructure. In fast cooling, the CNC and CNC:GNP systems reduced the crystallinity, respectively, yet led to minimizing the reduction in the tensile strength and maintaining the tensile modulus at the Neat level in slow cooling. With slow cooling, crystallinity remained relatively unchanged; however, the addition of CNC:GNP improved the strength and modulus by ∼10% and ∼16%, respectively. These findings demonstrate that a hybrid nanomaterial system can tailor PEEK's crystalline microstructure, thus presenting a promising approach for enhancing the mechanical properties of PEEK nanocomposites in fast-rate processes.

Identifiers

PMID39205811
PMCPMC11348426

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.