Results 81 to 90 of about 11,890 (266)
In the transportation sector, the fuel consumption model is a fundamental tool for vehicles’ energy consumption and emission analysis. Over the past decades, vehicle-specific power (VSP) has been enormously adopted in a number of studies to ...
Siriorn Pitanuwat +3 more
doaj +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley +1 more source
Degradation Mechanisms in PEM Water Electrolysis: Diagnosis and Impact
This review provides an analysis of degradation mechanisms in proton electrolyte membrane water electrolyzers (PEMWE), focusing on all key components. It discusses diagnostic and measurement techniques for evaluating degradation, less‐studied mechanisms, and an expert survey.
Annik Bernhardt +11 more
wiley +1 more source
Auto Machine Learning for predicting Ship Fuel Consumption
In recent years, machine learning has evolved in a fast pace as both algorithms and computing power are constantly improving. In this study, a machine learning model for predicting the fuel oil consumption from engine data has been developed for a cruise ship operating in the Baltic Sea.
Ahlgren, Fredrik, Thern, Marcus
openaire +1 more source
A methodological framework is presented for combinatorial REBCO thin films fabricated by drop‐on‐demand inkjet printing with controlled Rare Earth composition gradients. Automated, synchrotron‐based, and local characterization techniques produce comprehensive property maps that correlate composition and TLAG process parameters with superconducting ...
Emma Ghiara +15 more
wiley +1 more source
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source
Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model
Confronted with the imperatives of sustainable development within the civil aviation sector, the precision in prognostication of aircraft fuel expenditure emerges as a critical imperative.
Weizhen Tang, Jie Dai, Yuantai Li
doaj +1 more source
With the continuous changes in climate, increased attention is required to address the adverse impacts of climatic variables on automobile fuel consumption and emissions.
Janet Appiah Osei +4 more
doaj +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
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

