⚡ Category

eess

1712 papers

⚡ electrical engineering

Comparative Performance Analysis of Xenon, Krypton, and Argon Propellants for Hall Thrusters Using a Reproducible Machine-learning Framework

This paper presents a reproducible machine-learning framework using a harmonized dataset to demonstrate that while Xenon remains the superior propellant for Hall thrusters, Krypton offers a cost-effective compromise and Argon requires specific optimization, with XGBoost emerging as the most accurate model for predicting thrust performance.

Nazmul Hasan Anik Chawdhury2026-06-29
⚡ electrical engineering

Comparative Assessment of Metallic, Polymeric, Carbon-Based, and Composite Propellants for Laser Ablation Propulsion

This paper introduces a novel "Balanced Performance Score" to systematically evaluate and compare metallic, polymeric, carbon-based, and composite propellants for Laser Ablation Propulsion, revealing that composite materials offer an optimal balance between specific impulse and momentum coupling for next-generation micro-propulsion systems.

Nazmul Hasan Anik Chawdhury2026-06-29
⚡ electrical engineering

Circular Economy in High-Seismicity Andean Zones: A Circular Seismic Design Framework for Reusable Steel Moment Connections with Demountable Shear Tabs — Life Cycle Assessment and Normative Adaptation for Peru

This study proposes and validates a Circular Seismic Design framework for demountable steel moment connections in Peru's high-seismicity Andean zones, demonstrating through nonlinear analysis and life cycle assessment that such systems significantly reduce structural drift and carbon emissions while meeting regulatory safety standards for multiple reuse cycles.

PAUL RICARDO PRUDENCIO GALVEZ2026-06-29
⚡ electrical engineering

Optimal Solution Search Based on Node Importance for Radial Distribution Network Reconfiguration

This paper proposes a node importance extraction framework that integrates four statistical metrics to identify critical nodes within radial distribution networks, thereby enhancing the computational efficiency and convergence of reconfiguration optimization by overcoming the limitations of conventional evolutionary algorithms that treat all nodes equally.

Nam-Il Kwak, Kyong-Il Pak, Yong-Song Ri, Hung-Jin Pak2026-06-29
⚡ electrical engineering

Influence of Pulse Waveform Characteristics on the EDM Performance of Ti-6Al-4V

This study investigates how pulse waveform characteristics, specifically generator topology and current rise rate, influence the EDM performance of Ti-6Al-4V, revealing that a controllable Tr-RC generator with optimized parameters significantly enhances material removal rates and surface quality while mitigating tool wear compared to conventional methods.

Shuai Guo, Yong Li, Xingyu Mou, Dianhang Li, Hao Tong2026-06-29
⚡ electrical engineering

DARA: Distributed Agent Reinforcement-based Adaptive routing in Flying Ad-hoc Network Environments

This paper proposes DARA, a fully decentralized routing framework for Flying Ad-hoc Networks that utilizes distributed reinforcement learning to enable UAVs to autonomously select optimal next-hop relays based on local information, thereby significantly improving packet delivery, reducing latency, and balancing energy consumption compared to conventional routing protocols.

Badia Bouhdid, Adel Ben Mnaouer, Adnan Ahmed Abi Sen, Bassem Ouni2026-06-29
⚡ electrical engineering

Integrated Quantitative Assessment of Fatigue, Corrosion and Vibration Effects on the Reliability and Ageing of Pumping Jack Systems

This study presents an integrated quantitative framework using field data from the Binagadi oil field to demonstrate how the synergistic effects of fatigue, corrosion, and vibration significantly reduce the service life of pumping jack systems by up to 70%, thereby informing predictive maintenance strategies.

Alesker M. Aliyev2026-06-29✓ Author reviewed ⓘ
⚡ electrical engineering

Comparative in silico mechanobiological modeling of CMN and DHS osteosynthesis under peptide-inspired healing modulation

This study presents a novel in silico mechanobiological model using MATLAB/Simulink to compare cephalomedullary nailing (CMN) and dynamic hip screw (DHS) osteosynthesis under peptide-inspired healing modulation, demonstrating that CMN offers a more favorable mechanical profile while validating a predictive module for stratifying fixation scenarios.

Ivana Mitrevska, Ivan Mickoski, Igor Merdzanoski2026-06-29