1592 papers
This study establishes a process-based finite element model validated by hydrostatic burst tests to characterize the progressive damage evolution and identify the dome–cylinder transition as the critical failure region in 70 MPa Type IV hydrogen vessels, achieving a 4.0% prediction accuracy for burst pressure.
This study proposes a mixed-fleet cold-chain vehicle routing model that integrates time- and location-dependent traffic congestion into a nonlinear energy-consumption framework and solves it using an improved adaptive large neighborhood search algorithm to minimize total distribution costs while demonstrating the operational and economic advantages of mixed fleets under dynamic congestion conditions.
This paper experimentally validates two high-fidelity CFD simulation workflows (FVM and MPS) for determining heat transfer coefficients in oil-jet cooled electric motor windings, demonstrating that integrating these results into Lumped Parameter Thermal Network models significantly improves the accuracy of rapid thermal predictions for electric vehicle applications.
This paper proposes a high-gain, switched-capacitor multi-level inverter topology that utilizes two DC sources and nine switches to generate eleven output voltage levels with low harmonic content and self-balancing capacitors, while achieving reduced switching losses through 50 Hz operation and nearest-level modulation.
This paper proposes a Dynamic Sparse Partial Least Squares (D-sPLS) framework that utilizes semi-supervised learning, dynamic feature augmentation, and interpretable diagnostic tools to achieve accurate, real-time sensor fault detection and diagnosis in smart agriculture without requiring labeled fault data.
This study employs CFD modeling with a Rosin-Rammler sand particle size distribution to predict erosion in deepwater gas jumpers, demonstrating that accounting for variable particle sizes and flow dynamics yields more realistic erosion predictions than theoretical models and identifies the last elbow as the most critical area for severe erosion.
This study demonstrates that integrating micro-rolling with laser-induced arc additive manufacturing (LIAAM) significantly refines the microstructure of 2319 aluminum alloy, thereby reducing anisotropy and enhancing both hardness and tensile strength compared to conventional LIAAM.
This in-silico study demonstrates that maximizing hand-cycling task endurance via Functional Electrical Stimulation is best achieved by optimizing cost functions that target specific variables and incorporate personalized muscle fatigability and mechanical criticality, rather than relying solely on standard norm archetypes.
This paper presents a two-stage vehicle–traffic co-simulation methodology that quantifies how spatiotemporally varying traffic conditions on a 255-mile U.S. corridor significantly increase energy intensity and reduce freight efficiency for long-haul electric trucks, while simultaneously boosting regenerative energy recovery.
This study proposes a robust gearbox fault diagnosis framework that integrates Bayesian-optimized Variational Mode Decomposition for adaptive noise separation with an attention-based CNN-BiLSTM model for enhanced feature extraction, achieving 90% accuracy in detecting incipient faults across variable working conditions.