El diseño y análisis de sistemas mecánicos, que incluye la termodinámica, la mecánica de fluidos, el diseño de máquinas, la robótica, los sistemas de climatización y el desarrollo de tecnologías mecánicas innovadoras
9 artículosResearchers have developed microscopic gear systems powered by light, using optical metasurfaces to create rotating micromotors. These micromotors can drive gear trains and other micromachines, offering potential applications in microfluidics, optics, and even manipulating biological matter.
This perspective article explores advanced textile engineering and wearable device technologies for sustainable personal cooling. These methods use techniques like spectrum-selective radiation manipulation, enhanced conduction, and improved convection to cool the body, potentially offering alternatives to traditional air conditioning systems.
The review proposes a "mechanostructures" paradigm that integrates structural design, manufacturing, and performance evaluation to achieve target mechanical responses in extreme service environments. This approach moves beyond traditional trial-and-error or bio-inspired methods and aims to address the limitations of current structural design techniques, particularly in dealing with multiple performance requirements and complex manufacturing constraints.
This study examined factors influencing citations of tribology papers, finding positive correlations with manuscript length and number of references. Other factors like authorship and open access showed varying effects. The study concludes that these non-scientific factors can influence citations but emphasizes responsible authorship and publication practices.
Cryogenic minimum quantity lubrication (CMQL) machining combines cryogenic cooling with minimal lubrication to improve machining of difficult-to-cut materials. CMQL offers advantages over cryogenic cooling or minimum quantity lubrication (MQL) alone by reducing cutting temperature, cutting forces, and tool wear while improving surface quality.
Spent lithium-ion batteries (LIBs) pose various environmental risks due to hazardous materials like heavy metals and toxic gases. Improper disposal or recycling can lead to soil, water, and air contamination through leaching, fire, and explosions, posing a threat to both ecosystems and human health. The review highlights the need for improved recycling infrastructure, stricter regulations, and further research to address these challenges.
The 'vip' R package offers a unified interface for calculating and visualizing variable importance across various machine learning models. It supports both model-specific and model-agnostic approaches, including permutation-based, variance-based, and Shapley-based methods. The paper demonstrates how this package can be used to gain insights into feature importance for a range of supervised learning tasks.
This study developed a kinetic model to predict the re-oxidation behavior of ultra-low carbon steel under different oxidizing slag conditions. The model, validated with experimental data, showed that increasing slag oxidation increases oxygen transfer to the steel and inclusion formation, while higher basicity slags can reduce inclusions and improve steel purity. The research also reveals how inclusion types and morphologies evolve during the re-oxidation process.
The demand for key battery materials, such as lithium, cobalt, and nickel, is projected to increase significantly by 2050 due to the growing adoption of electric vehicles. Closed-loop recycling can play a role in reducing primary material demand, but its effectiveness depends on technological advancements and efficient collection systems.