⚡ Category

eess

1663 papers

⚡ electrical engineering

Physics-informed deep learning for virtual crystallographic phase and grain orientation reconstruction of additively manufactured alloys

This paper proposes a physics-informed deep learning framework that converts standard scanning electron microscope secondary electron images into accurate virtual electron backscatter diffraction characterizations, effectively overcoming indexing challenges caused by lattice distortions in additively manufactured alloys across various material systems.

Zhuohan Cao, Zheng Li, Jamie J. Kruzic, Aiping Wu, Ming Zhou, Xiaopeng Li, Yue Zhao2026-08-10
⚡ electrical engineering

Deep Learning-Assisted Multi-Objective Optimization and Microstructure Property Correlation in Rotary Friction Welding of Dissimilar AA1100–AA2014 Aluminium Alloys

This study employs a hybrid deep learning and NSGA-II optimization framework to enhance the mechanical properties and microstructural quality of rotary friction welded dissimilar AA1100–AA2014 aluminum joints, achieving a maximum tensile strength of 142 MPa with high predictive accuracy.

Ravikumar Sadayan mottaiyan, Dinakaran Jeeva, RAJKUMAR SIVANRAJU, Arul Moorthy, Paranthaman Venkadesan, Arunprasad Jayar (…)2026-08-10
⚡ electrical engineering

A Hybrid Binary–Ternary Encoding Strategy for High-Capacity and Robust Phase Unwrapping in Fringe Projection Profilometry

This paper proposes a robust, high-capacity phase unwrapping method for fringe projection profilometry that combines a hybrid binary–ternary Gray code with dynamic threshold segmentation and a phase-consistency pre-correction algorithm to enable accurate 3D reconstruction of complex surfaces using only six projected patterns while eliminating the need for additional calibration images.

QIAN ZHU, HUBING DU, BO TANG, YUEYANG MA2026-08-10
⚡ electrical engineering

Effect of welding time on joint formation, microstructural evolution, and mechanical properties of resistance-upset-welded 316L stainless steel fuel-rod joints

This study demonstrates that for resistance-upset-welded 316L stainless steel fuel-rod joints, a welding time of 21 ms yields optimal mechanical performance and microstructural refinement by balancing effective bonding and grain recrystallization, whereas shorter or longer durations result in incomplete joining or performance degradation.

Shuyue Luo, Zhen Li, Yuanbo Bi, Qing Guo, zhen luo2026-08-10
⚡ electrical engineering

Thermo‑mechanical coupling effects on high‑velocity impact damage of CFRP laminates: Experiment and temperature‑dependent dynamic constitutive modeling

This study investigates the degradation of CFRP laminate impact resistance at elevated temperatures through high-velocity gas gun experiments and validates a novel temperature-dependent dynamic constitutive model implemented in ABAQUS/Explicit, which accurately predicts damage morphology and failure modes under varying thermal and impact conditions.

Z. R. Wu, Y. M. Li, H. Lei, S. Z. Ma, M. L. Chen2026-08-10
⚡ electrical engineering

Learning Nonlinear Reduced-Order Models of Fluid Flows with InfoVAE

This paper proposes an efficient reduced-order modeling framework for chaotic fluid flows by combining an Information Maximizing Variational Autoencoder (InfoVAE) with an Easy-Attention-based Transformer to overcome conventional autoencoder limitations, yielding interpretable, disentangled latent representations that align with dominant Proper Orthogonal Decomposition modes.

Manal ZETTAM, Mouhcine MOUDA, Mohammed MADIAFI, Omar ASKOUR, Mustapha OUJAOURA, Jamal EZZAHAR2026-08-10