Evidence map›Paper›PMID 41922410›Full record

ArticleScientific reports2026

Assessing the structural performance of additively manufactured carbon fibre reinforced PLA-based adherends bonded with graphene-enhanced adhesive using experimental and ANN analysis.

Thulasidhas Dhilipkumar, N Karthikeyan, Arun Prasad Murali, Karthik V Shankar, P Karuppusamy, Amanullah Fatehmulla, Rakesh Kumar, Karuppaiah Selvakumar

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Thulasidhas DhilipkumarDepartment of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.
N KarthikeyanDepartment of Mechanical Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 600026, India.
Arun Prasad MuraliDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India.
Karthik V ShankarDepartment of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India.
P KaruppusamyDepartment of Chemistry, Centre for Research and Development, Vinayaka Mission's Kirupananda Variyar Engineering College, Vinayaka Mission's Research Foundation (DU), Salem, Tamil Nadu, 636308, India.
Amanullah FatehmullaDepartment of Physics and Astronomy, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Rakesh KumarDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India. kumar.rakesh@jaipur.manipal.edu.
Karuppaiah SelvakumarDepartment of Physiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science (SIMATS), Saveetha University, Chennai, 600077, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing (AM) enables the fabrication of complex geometries; however, the mechanical performance of 3D-printed thermoplastic assemblies remains limited by the inherent weakness of 3D-printed polymers and by constraints in joining. The present research addresses these problems by examining the mechanical behaviour of adhesively bonded single-lap joints (SLJs) prepared from carbon-fibre-reinforced polylactic acid (PLA-CF) adherends and epoxy reinforced with graphene nano filler. Dog-bone specimens were fabricated to determine the optimal printing parameters, with a 0° raster orientation showing the highest tensile strength. SLJs with 0.5-1.5 wt.% graphene nano powder (GNP) enhanced epoxy were tested under shear, flexural, and free-vibration loading conditions. The results show that 1.5 wt.% GNP inclusion has the highest improvement, increasing shear and flexural strength by 107.71% and 67.15%, respectively, compared to unmodified joints. Failure analysis indicated that the failure mode shifted from mixed mode to cohesive failure with the addition of 1.5 wt.% GNP, due to microcrack bridging and interfacial debonding. Furthermore, a backpropagation Artificial Neural Network (ANN) model was developed to predict the nonlinear behaviour of the SLJs. The ANN demonstrated excellent agreement with experimental data, with an R

Indexed as

Additive manufacturingAdhesive bondingGrapheneShear analysisVibration

Identifiers

PMID41922410
PMCPMC13187024

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LicenceCC BY-NC-ND
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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.