CORTEXA
← Browse
arxiveess.SY2026-06-25Cited by 1

Jet impingement cooling with multi-stage ducted electroaerodynamic actuators

Quinna Nguyen, C. Luke Nelson, Daniel S. Drew

Modern high-performance mobile electronics impose extreme constraints on thermal management, and traditional cooling methods often fail to meet requirements for power density, form factor, and durability. Jet impingement cooling offers a compelling solution but is typically hindered by the need for bulky ancillary hardware. Here, we demonstrate that compact arrays of reduced-scale electroaerodynamic (EAD) plasma actuators, which are silent, solid-state devices with no moving parts, can be used for direct jet impingement cooling of electronics. The main contribution is the first rigorous experimental demonstration and system-level validation of multi-stage, ducted electroaerodynamic jet arrays as a compact, fan-replacement impingement cooling solution for mobile electronics. We characterize the performance of both single- and multi-stage ducted actuators, including thermographic analysis of heat transfer coefficients and spatial cooling profiles. We also quantify the relationship between actuator stage count and cooling efficiency, showing that increasing the number of ion acceleration stages enhances jet velocity and heat transfer performance at a reduced efficiency. The actuators are then assembled into an array and directly compared to a conventional fan with similar coverage area, showing competitive performance at a fraction of the volume, weight, and power. Finally, we integrate the array onto a commercial edge AI system and show that thermal regulation during extended inference workloads matches that of a stock fan, without any moving mechanical components or noise. These results confirm that multi-stage EAD jet arrays are not only viable but advantageous for thermal management in mobile and high-performance systems, paving the way toward silent and miniaturized solid-state cooling solutions.

View free PDFSource page

Related papers

arxiveess.SY2026-07-08

A Physics-guided Fine-tuned LLM-based Framework for Customized Power Distribution System Feeder Generation

Zhenghao Zhou, Yiyan Li, Tao Xu, Yike Guo, Zheng Yan, Mo-Yuen Chow

Power distribution system feeder models (e.g., IEEE 33-bus system, IEEE 13-bus system, etc.) are cornerstones for conducting power distribution system studies. As real-world feeder models are hard to acquire due to energy security concerns, generating high-quality synthetic feede…

View free PDFSource page
arxiveess.SYeess.SP2026-06-27

A Comprehensive Design Framework for Vertical Power Delivery in High-Performance Computing

Sriharini Krishnakumar, Yaroslav Popryho, Mingeun Choi, Ramin Rahimzadeh Khorasani, Madhavan Swaminathan, Satish Kumar, et al.

Power delivery -- including high-to-low voltage conversion, complex power distribution across heterogeneously integrated chiplets, and efficient interconnect allocation -- remains a critical bottleneck in high-performance computing (HPC) systems. Existing vertical power delivery…

View free PDFSource page
arxivcs.LGeess.SYmath.OC2026-07-20

Concentration and Mean-Square Bounds for Contractive Stochastic Approximation: A Unified Elementary Approach

Siddharth Chandak

We establish mean-square and concentration bounds for stochastic approximation (SA) with arbitrary norm contractive mappings, under a multiplicative noise model where the noise may scale affinely with the norm of the iterates, and the iterates are potentially unbounded. These set…

View free PDFSource page
arxiveess.SYcs.MA2026-06-25

Resilient Output Containment under Undisclosed Leader Dynamics and Actuator Attacks

Mohammadreza Nematollahi, Khashayar Khorasani, Nader Meskin

This work studies resilient output containment for heterogeneous linear multi-agent systems with actuator cyber-attacks over directed network topologies. The leaders generate bounded locally absolutely continuous trajectories; however, their dynamics, velocity bounds, and motion…

View free PDFSource page
arxivcs.ROeess.SY2026-07-10

SEAMLiS: Visibility-Aware Safety for Perception-Limited Multi-Robot Exploration

Taekyung Kim, Rahul H Kumar, Aswin D. Menon, Tzu-Hsiang Lin, Dimitra Panagou

Autonomous exploration in unknown environments is typically driven by informative frontiers, viewpoints, or trajectories, while local safety controllers avoid obstacles represented in the current map. Under finite sensing range and limited field of view, this separation can be un…

View free PDFSource page