Results 91 to 100 of about 6,434,544 (378)

Proteome Size Is Positively Correlated with Lifespan in Mammals but Negatively Correlated with Lifespan in Birds

Advanced Biology, EarlyView.
The relationship between proteome size, amino acid composition, and lifespan across 276 vertebrate species is investigated. Proteome size correlates positively with lifespan in mammals but negatively in birds and fish. While proteome composition varies among classes, no single amino acid frequency correlates with lifespan.
Juliano Morimoto, Zuzanna Pietras
wiley   +1 more source

Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices

Advanced Engineering Materials, EarlyView.
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley   +1 more source

Dislocation Distribution, Crystallographic Texture Evolution, and Plastic Inhomogeneity of Inconel 718 Fabricated by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Spatial distribution of microstructure in Inconel 718 3D‐printed with bidirectional strategy with no rotation and chessboard strategy is studied. The former results in a highly ordered arrangement of coarse grains separated by line clusters of dislocation‐dense fine grains. This arrangement is disrupted by the chessboard strategy.
Jalal Al‐Lami, Thibaut Dessolier, Samuel R. Rogers, Talha Pirzada, Minh‐Son Pham   +4 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components

Advanced Engineering Materials, EarlyView.
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern, Lennart Hinz, Markus Kästner, Eduard Reithmeier   +3 more
wiley   +1 more source

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

Advanced Engineering Materials, EarlyView.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger, Alexander Seidel, Ursula Pähler, Sebastian Schröck, Peter Hofmann, Sebastian Kölbl, Klaus Drechsler   +6 more
wiley   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

Advanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu, Dustin Roman Jantos, Philipp Junker   +2 more
wiley   +1 more source

A Workflow‐Centric Approach to Generating FAIR Data Objects for Computationally Generated Microstructure‐Sensitive Mechanical Data

Advanced Engineering Materials, EarlyView.
A novel metadata schema is introduced to address the sparsity of microstructure‐sensitive mechanical data. The design follows the material modeling workflow, as each run results in the definition of unique data objects. The schema includes categorical elements to ensure findability, accessibility, interoperability, and reusability (FAIR). This approach
Ronak Shoghi, Alexander Hartmaier
wiley   +1 more source