Iram Naz2025-11-232025-11-232023-07-17https://escholar.umt.edu.pk/handle/123456789/12232This work provides a unique mathematical framework of ternary nanoparticles for better heat transfer. Ternary nanoparticles are illustrated as this structure has heat conductors. Ternary nanoparticles are made up of three times different groups of nanoparticles that float in a base fluid. In the Laplace transform method and Atangana Baleanu, the fractional order is used to provide a numerical model for both velocity and temperature fields. Ternary nanoparticles are identified as a result, and the heat transfer characteristic is enhanced. Additional ternary experimentation of nanomaterials is animation conducted to achieve a higher temperature transmission. According to the graphed data, ternary nanoparticles exhibit more thermal conductivity than hybrid nanoparticles. As a result, it is discovered that the ternary nanoparticles approach may be used to raise the temperature in comparison to the findings of the most recent published research. Furthermore, the main motivation for this problem is the comparison between the solutions obtained by Fourier’s law and artificial replacement. The Fourier-based fractional approach is more precise and powerful than the artificial approach for modeling heat transfer. Because there is a considerable market need for a cooling agent with enhanced heat transfer qualities, the researchers were inspired to develop a concept that uses existing nanoparticles to improve heat transmission. This approach is very useful in modeling heat transfer problems with fractional operators.enThesis