⚡ electrical engineering

Investigation into the material removal mechanism and surface integrity of Zr-based bulk metallic glass via rotary ultrasonic vibration grinding

This study demonstrates that rotary ultrasonic vibration-assisted grinding (RUVAG) significantly improves the surface integrity and reduces material removal defects of Zr-based bulk metallic glasses compared to conventional grinding by introducing intermittent contact that mitigates stress concentration and lowers surface roughness by approximately 21%.

Guijiu Xie, Yunfeng Liao, Xufeng Tang, Junsheng Gao, Xinyi Li, Wenqing Ding, Yan Wang, Zhongpeng Zheng2026-07-06
⚡ electrical engineering

Development of a Wire-Renewal EDM Milling Electrode for Fabricating Microlens Array Molds with High Shape Accuracy on Tungsten Carbide

This study proposes and validates a novel wire-renewal EDM milling electrode that overcomes traditional electrode wear limitations to fabricate high-accuracy microlens array molds on tungsten carbide through optimized rotationally averaged annular discharge.

Md Nasir Uddin, Fubin Ma, Tianfeng Zhou, Liheng Gao, Gang Wang, Weijia Guo2026-07-06
⚡ electrical engineering

Gas-assisted acidification realizes low-cost deep plugging removal of oil wells

This study proposes and validates a gas-assisted acidizing technology that effectively removes deep plugging (≥3 m) in Bohai Oilfield polymer-flooded heavy-oil reservoirs by alternating nitrogen and acid injection to enhance penetration and permeability recovery, resulting in significant production increases in field tests.

Xiaonan Yuan, Shang Gao, Jian Zou, Yangyang Fu, Liping Zhang2026-07-06
⚡ electrical engineering

Nanoparticle-Enhanced Polymeric Fluid for Sand Control in Unconsolidated Petroleum Wells

This study demonstrates that incorporating SiO₂ nanoparticles into a furan-based polymeric fluid significantly enhances the unconfined compressive strength and thermal stability of chemical sand consolidation in unconsolidated petroleum wells while preserving reservoir permeability, offering a robust and cost-effective alternative to conventional mechanical sand-control methods.

Amir Mirzaei, Ehsan Khamehchi, Mahmoud Akbari, Hooman Banashooshtari2026-07-06
⚡ electrical engineering

Structural Performance and Seismic Damage Modeling of Aluminum Alloy Tube–Concrete Composite Columns

This study investigates the axial and seismic performance of aluminum alloy tube–concrete long columns through validated finite element analysis and cyclic loading simulations, revealing distinct failure mechanisms for different cross-sections and proposing a machine-learning-enhanced damage model that outperforms the conventional Park–Ang approach for accurate seismic assessment.

Suizi Jia, Wei Ding, Shilin Wei, Qitong Ren, Xiwei Xu2026-07-06
⚡ electrical engineering

Fast Prediction of Aero-Thermal Performance During Hypersonic Vehicle Design

HipeX is a fast, lightweight aerothermodynamic analysis tool that utilizes local surface inclination methods and blended boundary-layer models to reliably predict aerodynamic coefficients and surface heat fluxes for hypersonic vehicle design, as validated against CFD data for the HEXAFLY-INT configuration.

Vinícius Hagemeyer Chiumento, Pedro Paulo Batista de Araújo, Fábio Henrique Eugênio Ribeiro, Angelo Passaro, Lucas Galem (…)2026-07-06
⚡ electrical engineering

Groundwater Forecasting Under Missing Data Uncertainty: A Multi-Horizon Assessment Using Hyperbolic Deep Learning

This study proposes an integrated multi-horizon groundwater forecasting framework that combines optimal missing-data reconstruction with hyperbolic deep learning to effectively address observational gaps and reduce error accumulation in long-term predictions, demonstrating superior stability and accuracy compared to conventional deep learning architectures.

Kübra Küllahcı, Kürşat Şekerci2026-07-04