Research Article Heat Transport Improvement and Three-Dimensional Rotating Cone Flow of Hybrid-Based Nanofluid Azad Hussain, 1 Qusain Haider , 1 Aysha Rehman , 1 M. Y. Malik , 2 Sohail Nadeem , 3 and Shaﬁq Hussain 4 1 Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan 2 Department of Mathematics, College of Sciences, King Khalid University, Abha 61413, Saudi Arabia 3 Department of Mathematics, Quaid-I-Azam University, Islamabad 44000, Pakistan 4 Department of Computer Science, University of Sahiwal, Sahiwal, Pakistan Correspondence should be addressed to Qusain Haider; qusain.haider336@gmail.com Received 15 December 2020; Accepted 28 September 2021; Published 27 October 2021 Academic Editor: Fateh Mebarek-Oudina Copyright © 2021 Azad Hussain et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. e current research aims to study the mixed convection of a hybrid-based nanoﬂuid consisting of ethylene glycol-water, copper (II) oxide (CuO) and titanium dioxide (TiO 2 ) in a vertical cone. A hybrid base blend model is used to examine the nanoﬂuid’s hydrostatic and thermal behaviors over a diverse range of Reynolds numbers. e application of mixed nano- particles rather than simple nanoparticles is one of the most imperative things in increasing the heat ﬂow of the ﬂuids. To test such a ﬂow sector, for the very ﬁrst time, a hybrid-based mixture model was introduced. Also, the mixture framework is a single-phase model formulation, which was used extensively for heat transfer with nanoﬂuids. Comparison of computed values with the experimental values is presented between two models (i.e., the model of a mixture with the model of a single-phase). e natural convection within the liquid phase of phase change material is considered through the liquid fraction dependence of the thermal conductivity. e predicted results of the current model are also compared with the literature; for numerical results, the bvp4c algorithm is used to quantify the eﬀects of nanoparticle volume fraction diﬀusion on the continuity, momentum, and energy equations using the viscous model for convective heat transfer in nanoﬂuids. Expressions for velocity and temperature ﬁelds are presented. Also, the expressions for skin frictions, shear strain, and Nusselt number are obtained. e eﬀects of involved physical parameters (e.g., Prandtl number, angular velocity ratio, buoyancy ratio, and unsteady parameter) are examined through graphs and tables. 1. Introduction Nanoﬂuid is the mixture of hard nanoparticles with the baseﬂuid.estudyofnanoﬂuidisofhugeinterestforthe evaluation of increasing thermal conductivity, In the engineering, cooling is important, such as the cooling of nano-electromechanical systems and semiconductors. e convection of nanoﬂuids ﬂow in nanowires such as microchannels and microtubes is mandatory to use nanoﬂuids for these low-scale cooling techniques. Nanoﬂuids are served in related works with single-phase heterogeneous ﬂuids (whereas the nanoparticles are consistently distributed in base ﬂuids). Free convection is critical in thermal engineering in nanoﬂuid within en- closures because rising heat ﬂow is a signiﬁcant problem for energy eﬃciency. e ﬁrst attempts to improve heat transport using nanoﬂuid. ey simulated the heat transfer features of nanoﬂuids in a two-dimensional in- sertion and originate that the heat transfer rate dramat- ically increases with postponed nanoparticles at every Grashof value. Elaziz and Marin [1] investigated one signiﬁcant feature of theory, and it does not account for thermal energy dissipation. We discover a method for dealing with elastic interactions that do not take into account energy dissipation caused by heat sources and body forces. Remote as literature analysis is revised, Hindawi Mathematical Problems in Engineering Volume 2021, Article ID 6633468, 11 pages https://doi.org/10.1155/2021/6633468