Advanced Robotics Research, EarlyView.Inflatable kirigami crawlers are fabricated from heat‐sealable textiles and achieve motion through cyclic pneumatic actuation. Strategically placed kirigami cuts guide asymmetric deformation, doubling contraction compared to traditional pouches and forming scale‐like surfaces.
Burcu Seyidoğlu +3 more
wiley +1 more source
527 Electrical Discharge Machining of Noble Crystals
, 2003 Apiwat Muttamara +4 more
openalex +2 more sources
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
Advanced Robotics Research, EarlyView.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
Comparative Study of Ultrasonic Vibration-Assisted Die-Sinking Micro-Electrical Discharge Machining on Polycrystalline Diamond and Titanium. [PDF]
Micromachines (Basel)Guo C +5 more
europepmc +1 more source
Study on ZrB2-Based Ceramics Reinforced with SiC Fibers or Whiskers Machined by Micro-Electrical Discharge Machining. [PDF]
Micromachines (Basel), 2020 Quarto M, Bissacco G, D'Urso G.
europepmc +1 more source
Development of an Eco-Friendly Electrical Discharge Machine (E-EDM) Using TRIZ Approach [PDF]
, 2009 V. S. Sreebalaji, R. Saravanan
openalex +1 more source
A Wireless Soft Optical Blood Sensor for Colonoscopy
Advanced Sensor Research, EarlyView.This works presents an “add‐on” wireless soft optical blood sensor for the traditional colonoscopy. It can reliably detect bleeding behind the colonoscope's distal tip camera via optical absorption, without optical fibers, and wirelessly transmit data to the processor.
Kamin Palkawong‐Na‐Ayuddhaya +6 more
wiley +1 more source
Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery
Advanced Sustainable Systems, EarlyView.This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee +4 more
wiley +1 more source
Experimental Investigation on the Impact of Graphite Electrodes Grain Size on Technological Parameters and Surface Texture of Hastelloy C-22 after Electrical Discharge Machining with Negative Polarity. [PDF]
Materials (Basel)Nowicki R +2 more
europepmc +1 more source