This work introduces a 2D model that calculates power losses in coaxial magnetic gears (CMGs). The eddy current losses of the magnets are computed analytically, whereas the core losses of the ferromagnetic segments are computed using an analytical–finite element hybrid model. The results were within 1.51% and 3.18% of those obtained from an FEA for the eddy current and core losses in the CMG for an indicative inner rotor speed of 2500 rpm. In addition, the significance of the circumferential magnet segmentation is demonstrated in the CMGs. Furthermore, a parametric investigation of the efficiency of the system for different applied external loads is carried out. Finally, a mesh sensitivity analysis is performed, along with the computation of the average power losses throughout one full period, resulting in an at least 80% reduction in computational costs with a negligible effect on accuracy. The developed model could be a valuable tool for the minimization of power losses in CMGs since it combines high accuracy with a low computational cost.

Coaxial magnetic gears have piqued the interest of researchers due to their numerous benefits over mechanical gears. These include reduced noise and vibration, enhanced efficiency, lower maintenance costs, and improved backdrivability. However, their adoption in industry has been limited by drawbacks like lower torque density and slippage at high torque levels. This work presents an analytical 2D model to compute the magnetic potential in Halbach array coaxial magnetic gears for every rotational angle, geometry configuration, and magnet specifications. This model calculates the induced torques and torque ripple in both rotors using the Maxwell Stress Tensor. The results were confirmed through Finite Element Analysis (FEA). Unlike FEA, this analytical model directly produces harmonics values, leading to faster computational times as it avoids torque calculations at each time step. In a case study, a standard coaxial magnetic gear was compared to one with a Halbach array, revealing a 14.3% improvement in torque density and a minor reduction in harmonics that cause torque ripple. Additionally, a case study was conducted to examine slippage in both standard and Halbach array gears during transient operations. The Halbach array coaxial magnetic gear demonstrated a 13.5% lower transmission error than its standard counterpart.

This work presents an analytical 2D model for estimating eddy current losses in the permanent magnets (PMs) of a coaxial magnetic gear (CMG), with a focus on loss minimization through magnet segmentation. The model is applied under various operating conditions, including different rotational speeds, load levels, and segmentation configurations, to derive empirical expressions for eddy current losses in both the inner and outer rotors. A 1D lumped-parameter thermal model is then used to predict the steady-state temperature of the PMs, incorporating empirical correlations for the thermal convection coefficient. Both models are validated against finite element analysis (FEA) simulations. The analytical eddy current loss model exhibits excellent agreement, with a maximum error of 2%, while the thermal model shows good consistency, with a maximum temperature deviation of 5%. The results confirm that eddy current losses increase with rotational speed but can be significantly reduced through magnet segmentation. However, achieving an acceptable thermal performance at high speeds may require a large number of segments, particularly in the outer rotor, which could influence the manufacturing cost and complexity. The proposed models offer a fast and accurate tool for the design and thermal analysis of CMGs, enabling early-stage optimization with minimal computational effort.

Ex-vivo heart perfusion research requires dedicated platforms that maintain cardiac grafts under controlled physiological conditions while enabling systematic optimization of perfusion protocols, perfusate composition, and preservation strategies. The available instrumentation is constrained at both ends of the cost spectrum: commercial Langendorff and machine-perfusion systems are sold by institutional quotation and cost from tens to hundreds of thousands of US dollars, typically relying on closed proprietary software, while existing low-cost alternatives have almost exclusively targeted abdominal organs such as the liver and lack the high-fidelity hemodynamic monitoring that cardiac research demands. This paper presents the design and iterative prototyping of a low-cost ex-vivo perfusion platform developed specifically for the heart, primarily for rat cardiac models with an architecture scalable toward human grafts. The system delivers real-time pressure and temperature monitoring without compromise to measurement quality, perfusate conditioning, or sterile handling, and incorporates a custom data-acquisition and signal-processing suite that extracts clinically readable hemodynamic biomarkers: systolic and diastolic pressure, contractility (dP/dt), and heart rate, in real time. Rather than presenting only the final design, the platform's full development trajectory is documented, including unsuccessful approaches such as two bubble-trap configurations and a custom analog acquisition circuit, since these negative results offer guidance valuable to others building similar systems. The platform is currently operational, with experiments underway to validate the system and to investigate perfusion protocols and perfusate conditions in rat hearts.