598 papers
This study demonstrates that adding 50 ppm MgO nanoparticles to a 20% waste plastic oil blend significantly improves diesel engine performance and tribological characteristics while reducing CO, HC, and smoke emissions, despite a slight increase in NOx.
This paper proposes a rapid, high-precision modeling method for the equivalent sloshing parameters of axisymmetric liquid storage tanks using a Random Forest proxy model trained on a large-scale dataset, which significantly improves design efficiency and reveals that fill ratio and length-to-slenderness ratio are the most critical geometric factors influencing sloshing behavior.
This paper proposes a novel 1827-bar point-concentration pneumatic system using CFRP vessels and micro-valves to overcome the range limitations of compressed-air vehicles, enabling a fossil-free Indonesian angkot to achieve a 5-km range at an operational cost 8.1 times lower than gasoline.
This study proposes a comprehensive strategy for industrial energy management that integrates renewable photovoltaic systems and optimizes electricity consumption to identify losses, improve operational efficiency, and support the transition to sustainable, low-carbon production.
This study numerically simulates and structurally optimizes electrostatic precipitators for space capsules by comparing four electrode configurations, demonstrating that the W1-type and Single-type designs combined with a pre-installed filter screen achieve over 92% purification efficiency for 0.2–1.0 μm particles through synergistic mechanical and electrostatic mechanisms.
This paper presents a nanoplasmonic hydrogen sensor that integrates seven physical metal nanoparticle arrays to create 64 virtual sensing materials and employs an encoder-only transformer model to achieve accurate quantitative detection of hydrogen and interfering species in chemically complex, humid urban air environments.
This study establishes an optimized process window for wire arc directed energy deposition of 18Ni-350 maraging steel, demonstrating that while aging significantly enhances tensile strength and hardness, the impact toughness remains stable, confirming the viability of this method for producing high-strength, impact-tolerant near-net-shape components.
This simulation study reveals that the effectiveness of crowd-sourced continuous control is not monotonically dependent on crowd size but is instead governed by a conditional ceiling effect where performance gains from adding participants only emerge under specific combinations of adversarial ratios and trajectory geometries, with complex, rapidly reversing paths imposing structural limits that additional crowd members cannot overcome.
This study demonstrates that a stacking model combining Random Forest and K-Nearest Neighbors, trained on 465 data samples, achieves exceptional accuracy (R² = 0.996) in predicting the compressive strength of steel fiber-reinforced recycled aggregate concrete while identifying the water-to-binder ratio as the dominant influencing factor through SHAP analysis.
This paper proposes and validates a novel integrated Bayesian-Fuzzy GIS approach to assess urban resilience against high-impact security threats at the parcel level, demonstrating through a case study of Tehran's District 5 that combining target attractiveness analysis with resilience mapping effectively identifies critical vulnerabilities and prioritizes interventions to significantly improve urban resilience.