Results 151 to 160 of about 8,423,921 (236)
Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators
Advanced Engineering Materials, EarlyView.Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira +6 more
wiley +1 more source
Electrodeposition in Structural Lattices of Variable Architectures
Advanced Engineering Materials, EarlyView.Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon +3 more
wiley +1 more source
Spatial variability of Inherent Optical Properties in the perialpine lakes
Accurate estimation of biogeochemical substances from remote observations requires knowledge of Inherent Optical Properties (IOPs) and their mass specific representation (SIOPs).
Pitarch, Jaime +5 more
core
Advanced Engineering Materials, EarlyView.Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika +5 more
wiley +1 more source
Impact of Hydrogen Incorporation on Electronic and Magnetic Structure of X2CrNi18‐9 Stainless Steel
Advanced Engineering Materials, EarlyView.Hydrogen uptake in austenitic stainless steel alters both its electronic and magnetic structure. Seebeck measurements reveal hydrogen‐induced shifts in the electronic density of states, while neutron scattering uncovers nanoscale inhomogeneities that grow upon hydrogen incorporation, with the most pronounced effect observed in the PBF as‐built state ...
Torben Tappe +9 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Accelerated in situ formation of TiB and TiC in Ti–5Al–2.5Sn–B4C is driven by transient liquid phase formation, which enhances particle reactions and microstructural evolution. This process increases hardness and establishes a coupled relationship between sintering temperature and reinforcement content, strongly influencing porosity in the resulting ...
Fernando. Y. Kojima, Juliano. Soyama
wiley +1 more source
Advanced Engineering Materials, EarlyView.A thermoplastic PMMA‐based photoresin enables high‐resolution DLP printing followed by solvent‐vapor smoothing. The treatment reduces staircase‐induced surface roughness from 2.33 µm to 129 nm and increases visible‐light transmittance from approximately 30% to 80%, providing a route toward transparent PMMA components for rapid prototyping and non ...
Rozhin Heydarpour +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source