Results 201 to 210 of about 19,277,069 (274)

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Multi-Scale Statistical Correlation between Morphological Anisotropy and Optical Response in Chemically Deposited AZO Nanorods. [PDF]

ACS Omega
Sarf F, Bayırlı M.
europepmc   +1 more source

Predicting the Tensile Behavior of Basalt Fiber‐Reinforced Polylactic Acid (PLA) Biocomposites Using a Multiscale Modeling Approach

Polymer Engineering &Science, EarlyView.
Multi‐scale modeling approach for predicting the tensile behavior of basalt fiber reinforced PLA biocomposites. ABSTRACT This study develops a micromechanical‐based multiscale modeling approach to predict the tensile behavior of basalt fiber (BF)‐reinforced polylactic acid (PLA) biocomposites.
Ferdi Yildirim, Murat Horasan, İsmail Saraç   +2 more
wiley   +1 more source

Multiscale modeling of T cell exhaustion: A mathematical framework integrating continuous dynamics with spatial heterogeneity. [PDF]

PLoS Comput Biol
Li C, Zhang Y, Liu X, Qu Y, Lai X, Lei J.   +5 more
europepmc   +1 more source

A Simple Rheology‐Based Framework for Selecting Printing Parameters in Extrusion‐Based Hydrogel Additive Manufacturing

Polymer Engineering &Science, EarlyView.
An open analytical framework converts standard rheological measurements directly into the complete extrusion field and slicer‐ready printing parameters for Piston driven printers, enabling rapid operational window of printability in direct ink writing without CFD or machine learning. ABSTRACT Predicting whether a gel formulation will print successfully
Thiago M. C. Rodrigues, João V. R. C. dos Santos, Nicole P. Martins, Rossana Mara da Silva Moreira Thiré   +3 more
wiley   +1 more source

From Joint Loading to Osteoarthritis: A Multiscale Review of Knee Mechanobiology and Digital Modelling. [PDF]

Int J Mol Sci
Stańczak M, Kacprzak B, Hagner-Derengowska M.   +2 more
europepmc   +1 more source

Influence of porosity and architecture on the mechanical and acoustic properties of FFF‐printed PLA structures

Polymer International, EarlyView.
The influence of porosity and infill pattern (architecture) on the mechanical and acoustic properties of FFF‐printed PLA is investigated. Ultrasonic analysis highlights the dominant role of interlayer porosity, revealing anisotropic behavior and a transition in elastic properties with increasing porosity.
Makki Ajmi, Simon Bernard, Slim Souissi, Ahmed Elloumi, Pierre Maréchal   +4 more
wiley   +1 more source

Reduced-order modeling of nonlinear multiscale industrial systems via sparse regression in latent representations. [PDF]

Sci Rep
Jia D, Zhou X, Li S, Shi H, Li L.
europepmc   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

Propellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan, Jesse Hearn, Francis G. VanGessel, Brian C. Barnes, Ruth Doherty, William Wilson, Ryan Ciufo, Peter W. Chung   +7 more
wiley   +1 more source

Multiscale Prediction for Mechanical and Thermal Properties of Needled Composites Considering Pore and Their Application. [PDF]

Materials (Basel)
Sun S, Wang J, Li H, Yang R, Zhou L.
europepmc   +1 more source