Results 71 to 80 of about 4,242,048 (285)

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Model-based estimation of light-duty vehicle fuel economy at high altitude

Advances in Mechanical Engineering, 2019
In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel
Lijun Hao, Chunjie Wang, Hang Yin, Chunxiao Hao, Haohao Wang, Jianwei Tan, Xin Wang, Yunshan Ge   +7 more
doaj   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Models for Predicting Fuel Consumption in Sagebrush-Dominated Ecosystems [PDF]

Rangeland Ecology & Management, 2013
Fuel consumption predictions are necessary to accurately estimate or model fire effects, including pollutant emissions during wildland fires. Fuel and environmental measurements on a series of operational prescribed fires were used to develop empirical models for predicting fuel consumption in big sagebrush (Artemisia tridentata Nutt.) ecosystems ...
openaire   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy

Advanced Robotics Research, EarlyView.
This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang, Chenlu Liu, Yu Zhao, Chuanhua Li, Xuyang Chen, Shixiao Ding, Lizhou Dai, Guokun Wang, Tianlong Li, Jiaxin Li, Xuejia Liu, Haocheng Wang   +11 more
wiley   +1 more source

Effective Modeling of CO₂ Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection

Energies
Predictive modeling is important for assessing and reducing energy consumption and CO2 emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been fully analyzed, and the rich features of the data pose challenges in prediction ...
Hang Thi Thanh Vu, Jeonghan Ko
doaj   +1 more source

A Real-Time Energy Management Strategy Based on Energy Prediction for Parallel Hybrid Electric Vehicles

IEEE Access, 2018
Hybrid electric vehicle (HEV) technology is an effective way to resolve the problems of energy consumption and air pollution. Energy management strategies are critical to the performance of HEVs.
Shaojian Han, Fengqi Zhang, Junqiang Xi
doaj   +1 more source

Drive Cycle Optimisation for Pollution Reduction [PDF]

, 2015
Green house gas emissions have abraded environmental quality for human existence. Automobile exhaust is a significant contributor globally to green house gases, among other contributors.
Alghadhi, M., Rakesh, Mishra, Taimoor, Asim, Kollar, Laszlo E., Alghadhi, Mostafa, Asim, Taimoor, Ball, Andrew, Al-Ghadhi, M., Kollar, L.E., Kollar, L. E., Ball, A., Mishra, R., Mostafa, Alghadhi, Andrew, Ball, Laszlo, Kollar, Asim, T., Mishra, Rakesh; id_orcid   +16 more
core   +1 more source