Results 61 to 70 of about 724,201 (286)
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Advanced Engineering Materials, EarlyView.Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction
Advanced Functional Materials, EarlyView.This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia +3 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Optimization of the Micro Molding of a Biconcave Structure
International Journal of Technology, 2019 Micro molding is a rapid and cost-effective micro manufacturing technology. However, during the manufacturing process, different kinds of products usually face problems with uneven thicknesses or particular structure designs, resulting in uneven products
Min-Wen Wang +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler +4 more
wiley +1 more source
Micro-Injection Moulding Of Three-Dimensional Integrated Microfluidic Devices [PDF]
, 2009 This thesis investigates the use of micro-injection moulding (μIM), as a high-volume process, for producing three-dimensional, integrated microfluidic devices.
Attia, Usama M.
core +3 more sources
Optimization of Process Parameters for Vertical-Faced Polypropylene Bottle Injection Molding
Advances in Materials Science and Engineering, 2018 In order to obtain the optimal combination of process parameters for vertical-faced polypropylene bottle injection molding, with UG, the model of the bottle was drawn, and then, one module and sixteen-cavity injection molding system was established and ...
Youmin Wang, Zhichao Yan, Xuejun Shan
doaj +1 more source
Gas Assist Injection Molding and Experimental Validation through 3D Simulation [PDF]
Iranian Journal of Chemistry & Chemical EngineeringExtrusion, injection molding, calendaring, and thermoforming are just a few of the processing techniques utilized in the plastics industry. Gas-assist injection molding plays a crucial role in this equipment. The advancement of standard injection molding
Raza Khan, Asim Mushtaq
doaj +1 more source
A methodology for shrinkage measurement in micro-injection moulding [PDF]
, 2013 The aim of this paper is to provide a method for measuring shrinkage in micro injection moulded (μ-IM) parts - no standardised approach being reported as yet in the literature.
Alcock, Jeffrey R. +2 more
core +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
Advanced Functional Materials, EarlyView.We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source