Evidence map›Paper›PMID 41476077›Full record

ArticleScientific reports2025

Predicting failure loads of graphene incorporated adhesively bonded single lap joints fabricated with short glass fibre reinforced polylactic acid using ANN approach.

Thulasidhas Dhilipkumar, Abdellatif M Sadeq, Arun Prasad Murali, Karthik V Shankar, P Karuppusamy, Murugan Rajesh, Mohammad Rezaul Karim, Karuppaiah Selvakumar, N Dinesh Kumar

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Article in Scientific reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Thulasidhas DhilipkumarDepartment of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, 690525, Kerala, India.
Abdellatif M SadeqMechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha, Qatar. abdellatifsadeq23@gmail.com.
Arun Prasad MuraliDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, Tamilnadu, India.
Karthik V ShankarDepartment of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, 690525, Kerala, India. karthikvs@am.amrita.edu.
P KaruppusamyDepartment of Chemistry, Centre for Research and Development, Vinayaka Mission's Kirupananda Variyar Engineering College, Vinayaka Mission's Research Foundation (DU), Salem, 636308, Tamil Nadu, India.
Murugan RajeshSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamilnadu, India.
Mohammad Rezaul KarimCenter of Excellence for Research in Engineering Materials (CEREM), Deanship of Scientific Research, King Saud University, 11421, Riyadh, Saudi Arabia.
Karuppaiah SelvakumarDepartment of Physiology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Science (SIMATS), Saveetha University, Chennai, 600077, India.
N Dinesh KumarDepartment of Chemistry, Nanomaterials Laboratory, Kalasalingam Academy of Research, and Education, Krishnankoil, Srivilliputhur, 626126, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing has been prominent for making complicated polymeric structures, with PLA being preferred for its biodegradability, ease of use, and wide 3D printing compatibility. The present study aims to explore the effects of graphene-integrated adhesive on shear properties, failure modes, and vibrational response of adhesively joined bonded joints prepared with 3D printed short glass fibre-reinforced polylactic acid (PLA) adherents. Field emission scanning electron microscopy (FESEM) was used to analyse fracture surfaces, while artificial neural networks (ANN) predicted failure modes using a backpropagation algorithm. Tensile testing of bulk samples indicated that samples printed with 0º raster orientation have higher tensile strength (30.7 MPa) than samples printed with 45º (26.7 MPa) and 90º (23.4 MPa) raster orientations. Shear test results demonstrate that incorporating 1.0 wt.% of graphene into the adhesive enhances the adhesive joint's shear properties, leading to a 19.51% increase in shear strength compared to neat samples. The free vibrational analysis avowed that the addition of graphene up to 1.0 wt.% increases natural frequencies due to improved stiffness from its well-dispersed state within the epoxy matrix. Furthermore, the failure load was accurately predicted using an artificial neural network trained on data from stress-strain curves. The R

Indexed as

Additive manufacturingAdhesive bondingANNGrapheneShear test

Identifiers

PMID41476077
PMCPMC12764977

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