1666 papers
This paper proposes a digital generating method for pure-rolling contact logarithmic spiral bevel gears using a fixed, rotating YW-type indexable milling cutter on five-axis CNC machines, which integrates parabolic transmission error modification to achieve high-precision, low-noise machining with minimal deviation and improved contact characteristics.
This paper presents a rigorously validated engineering workflow that integrates Bayesian optimization, genetic algorithms, and NPV-aware regularization to transform LSTM-based time-series proxies into reliable decision-support tools for waterflooding optimization, demonstrating that predictive accuracy alone is insufficient to guarantee economic returns and emphasizing the necessity of high-fidelity simulator re-evaluation.
This paper presents a reduced-order framework utilizing proper orthogonal decomposition and Gaussian process models to rapidly reconstruct temperature and heat-transfer coefficient fields in ribbed cooling channels, achieving high accuracy with significantly lower computational costs compared to traditional CFD simulations.
This paper proposes AG-MS-GNN, a novel few-shot bearing fault diagnosis framework that integrates adaptive physical graph construction, negative-sample-free contrastive feature enhancement, and multi-scale graph attention to achieve high-accuracy, generalizable diagnosis under variable operating conditions with limited data.
This study demonstrates that optimizing pneumatic abrasive brushing parameters, particularly using silicon carbide micro-abrasives, effectively engineers precise cutting edge microgeometries on carbide end mills, resulting in a 21% increase in tool life and improved surface quality when milling AISI P20 steel.
This paper demonstrates that the integration of data-driven technologies into airline flight dispatch systems significantly enhances operational efficiency, safety, and fuel economy by replacing traditional manual workflows with predictive analytics and automated risk assessment, resulting in measurable reductions in processing time, fuel consumption, and weather-related delays.
This paper proposes a procedure to estimate equivalent sand-grain roughness height from surface particle coverage for NACA airfoils and evaluates the accuracy of various turbulence models with roughness corrections in predicting aerodynamic performance under complex pressure gradients, addressing the limitations of existing canonical-flow-based calibrations.
This study demonstrates that incorporating 10% coconut husk ash into lateritic soils significantly improves their geotechnical properties, such as reduced plasticity and enhanced bearing capacity, offering a sustainable solution for constructing durable rural roads in Mozambique while valorizing agricultural waste.
This study investigates the mechanism of strong ground pressure in shallow buried ultra-large mining height faces with double key strata through field observation and simulation, establishing a theoretical support resistance model and demonstrating that hard roof pre-splitting effectively reduces fracture intervals and stress concentration to ensure stable mining conditions.
This paper proposes a four-phase implementation protocol for deploying solid-state battery LHD loaders in Peruvian underground mines to achieve significant ventilation energy reductions by adapting Canadian Shield technologies, while also extending this electrification framework to Peru's public transport sector.