3 papers
physics.app-ph2026
Ferrofluid bend channel flows for multi-parameter tunable heat transfer enhancement Part 2 Deep Learning and Neural Network Modeling
Nadish Anand, Prashant Shukla, Warren Jasper
This work is the second in a series focused on ferrofluid bend channel flows. Here, ferrofluid flows in bend channels are modeled using machine learning methods, based on data gene…
physics.app-ph2026
Ferrofluid bend channel flows for multi-parameter tunable heat transfer enhancement Part 1 Numerical Modeling & Characterization
Nadish Anand, Warren Jasper
This study investigates ferrohydrodynamic heat transfer enhancement in a two-dimensional 90 degree bend channel through systematic parametric analysis of externally applied non-uni…
physics.flu-dyn2025
Feasibility Study of a Hybrid Solid Liquid Vibration Energy Harvester: Numerical Simulation & Analysis
Nadish Anand, Warren Jasper
In this paper, we have introduced and studied the feasibility of a hybrid solid liquid vibration energy harvester. The energy harvester consists of a ferrofluid partially filled in…