Ali Emre KavurSibel DemiroğluMehmet Özgür SeydibeyoĝluÖzgün BaşerCüneyt GüzelişSavaş ŞahinKavur, A.E.Baser, O.Demiroglu, S.Guzelis, C.Seydibeyoglu, M.O.Sahin, S.2025-10-062016978150901866610.1109/MMAR.2016.75751392-s2.0-84991818138https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991818138&doi=10.1109%2FMMAR.2016.7575139&partnerID=40&md5=7d615fd3a7ff6e13e395b766d280a92ehttps://gcris.yasar.edu.tr/handle/123456789/9771https://doi.org/10.1109/MMAR.2016.7575139In this paper a new blending method for Graphene nanoplatelets was developed. A chaotic system based robust delta robot was designed. Both the speed of the mixer motor and position of the propeller were chaotically changed. Performance of the systems was evaluated by a material analysis method. The results showed that the proposed method has a better performance than statically mounted mixers. © 2017 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessChaos, Chaotification, Delta Robot, Graphene, Polymer Nanocomposites, Blending, Chaos Theory, Chaotic Systems, Graphene, Machine Design, Mixers (machinery), Nanocomposites, Robots, Chaotification, Delta Robot, Design And Implementations, Graphene Nanoplatelets, Material Analysis, Polymer Nanocomposite, RoboticsBlending, Chaos theory, Chaotic systems, Graphene, Machine design, Mixers (machinery), Nanocomposites, Robots, Chaotification, Delta robot, Design and implementations, Graphene nanoplatelets, Material analysis, Polymer nanocomposite, RoboticsChaotificationDelta RobotChaosPolymer NanocompositesGrapheneConference Object