1646 papers
This study introduces a simulation-based adaptive multi-stage toolpath planning framework for robotic freeform machining that significantly reduces cycle time by dynamically allocating machining stages based on geometric features, outperforming both single-stage and non-adaptive two-stage baselines while maintaining final surface quality.
This study demonstrates that post-weld heat treatment significantly enhances the hardness, strength, and ductility of AA7075 friction stir welded joints produced under various cooling conditions and tool speeds, although it fails to prevent abnormal grain growth and the performance of defective joints remains limited.
This study proposes and experimentally validates a passive electrical matching technique for low-speed Savonius wind turbines that utilizes the inherent inductance of stepper motor generators combined with external compensation capacitors to create electrical resonance, thereby optimizing energy conversion efficiency without the need for active power-electronic converters.
This study investigates the thermal-vibration coupling effects on the dynamic characteristics of a universal grinding head, revealing distinct axis-specific thermal sensitivities and establishing a hybrid SVR-XGBoost prediction model that significantly outperforms standalone algorithms in accurately forecasting vibrational displacement for enhanced machining precision.
This paper introduces "New AFC," a high-fidelity Python-based simulation framework that analyzes aggregate interference dynamics in dense 6 GHz Wi-Fi 6E deployments under Automated Frequency Coordination, revealing critical edge cases like the "Clutter Cliff," "Lighthouse Effect," and "Undershoot Phenomenon" to bridge the gap between regulatory compliance and scientific spectrum sharing optimization.
This paper presents a theoretical calculation and finite element simulation to analyze the contact pressure of a new-type wedge ring gasket, identifying the slave sealing surface height as the most influential factor and demonstrating its superior sealing performance compared to traditional octagonal gaskets under medium pressure.
This study combines finite element simulations and experimental characterizations to demonstrate that metal flow boundaries in disk-shaped 7075 aluminum alloy forgings induce significant microstructural inhomogeneities, characterized by coarse grains and low recrystallization fractions, which consequently reduce radial yield strength by 40–50 MPa compared to non-boundary regions.
This paper proposes a MATLAB-based 3D GPR imaging workflow that integrates 2D profiles, applies polyphase filter bank interpolation, and visualizes depth slices to effectively detect dike anomalies, a method validated by successful identification of soil interfaces and loose zones at a Yellow River dike site through comparison with borehole and cone penetration test data.
This study develops and evaluates machine learning models to predict the compressive strength of flowable solidified soil under freeze-thaw cycles, identifying the XGBoost algorithm as the most effective predictor and using SHAP analysis to reveal that the freeze-thaw cycle number is the dominant factor influencing durability degradation.
This paper presents a context-aware urban data science framework that fuses high-resolution spatial datasets with advanced radio propagation analytics to optimize wireless infrastructure planning and gateway placement in morphologically complex urban environments.