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‘Predicting Failure Loads Of Graphene Incorporated Adhesively Bonded Single Lap Joints Fabricated With Short Glass Fibre Reinforced Polylactic Acid Using ANN Approach – Nature’

Nature Dec 31, 2025

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 0186 raster orientation have higher tensile strength 30.7ampnbspMPa than samples printed with 45186 26.7ampnbspMPa and 90186 23.4ampnbspMPa raster orientations. Shear test results demonstrate that incorporating 1.0 wt. of graphene into the adhesive enhances the adhesive joint8217s 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 stress8211strain curves. The R2 value of 0.9861 indicates that the results are reliable and show a good correlation. Thereby this study demonstrated how graphene-integrated epoxy adhesives enhance the mechanical and vibrational properties of adhesively bonded lap joints prepared with 3D printed short glass fibre-reinforced PLA adherents while also using artificial neural networks to predict failure modes providing a novel approach to optimise the performance of adhesively joined 3D printed components.