Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Keshavamurthy, R.; Suma, V.; Ramesh, C.S.; Rajhi, Ali A.; Duhduh, Alaauldeen A.; Ravitej, Y.P. Title A name given to the resource Experimental Investigation and Predictive Modelling of Tribological Behaviour in Fly Ash Reinforced Polymer Composites Fabricated via Stereolithography Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Bio- and Tribo-Corrosion;Volume;12;Issue;2;Article No.;91; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40735-026-01169-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40735-026-01169-y</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039439398?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039439398?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Keshavamurthy R., Department of Mechanical and Automobile Engineering, Christ University, Karnataka, Bangalore, 560074, India; Suma V., Department of Computer Science and Design, Dayananda Sagar College of Engineering, Karnataka, Bangalore, 560078, India; Ramesh C.S., Department of Mechanical Engineering, GM University, Karnataka, Davanagere, India; Rajhi A.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Duhduh A.A., Department of Mechanical Engineering Technology, CAIT, Jazan University, P.O. Box 114, Prince Mohammed Street, Jazan, 45142, Saudi Arabia; Ravitej Y.P., Department of Mechanical Engineering, Dayananda Sagar University, Karnataka, Bangalore, India Description An account of the resource Tribological evaluation of fly ash-reinforced UV-curable resin composites produced through stereolithography additive manufacturing formed the central focus of this study. Controlled fly ash additions extending up to 2% by weight were examined, and all tests ran under dry sliding conditions. Neat resin was designated as the experimental reference throughout. Even with the modest addition of 0.5% fly ash, wear came down by roughly 9.8%, which was small but directionally significant. Moving to 1% fly ash pushed wear reduction to 16.4%. At 1.5%, the reduction advanced further to 21.3% with all evaluations performed under identical testing conditions. The 2% fly ash specimen produced the highest wear reduction of 25.8% among all compositions examined. Frictional behavior followed a comparable declining trend across filler levels. At 0.5% fly ash COF fell 7.6% below the neat resin value, and at 1% that reduction grew to 12.9%. The 1.5% addition brought friction reduction to 17.4%. Total COF reduction at 2% fly ash reached 20.3%, which confirmed a steady and consistent frictional improvement with progressive filler incorporation. Linear regression and artificial neural networks and XGBoost-based gradient boosting were the three predictive frameworks developed alongside experimental work. All three tracked closely with measured tribological outcomes. Prediction accuracies reached up to 95.4% with lower error values documented across every model. The 2% fly ash formulation stood out as the most effective composition tested. It delivered the strongest combined improvements in wear resistance and friction stability while remaining fully compatible with the operational demands of additive manufacturing. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2026. Subject The topic of the resource Fly ash; Predictive modelling; Stereolithography; Sustainable materials; Wear behaviour Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984220; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online