Results 121 to 130 of about 181,077 (339)

Combining Structured Data with Domain Knowledge in Battery Materials Research: The Case of Conductive Networks

open access: yesAdvanced Engineering Materials, EarlyView.
The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran   +5 more
wiley   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

open access: yesAdvanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring   +2 more
wiley   +1 more source

INVESTIGATION OF THE RADIAL VELOCITY OF A LOW-PRESSURE HYDROCYCLONE CLARIFIER OF SURFACE RUNOFF WATERS

open access: yesМелиорация и гидротехника
Purpose: substantiate the design and technological parameters of hydrocyclones-clarifiers by means of a detailed study of the radial velocity in significant sections, namely, at the transition from the cylindrical to the conical part of the apparatus, in
Georgy V. Degtyarev   +2 more
doaj   +1 more source

CEPHEID RADIAL VELOCITIES

open access: yesOdessa Astronomical Publications, 2017
Some results of the programme of the measurements of the Cepheid radial velocities by using a correlational spectrometer are presented. The spectral binarity of the classical Cepheids MW Cyg and VZ Cyg is discovered. The orbital elements of the Population II binary Cepheid TX Del and of the classical binary cepheid DL Cas in an open cluster are ...
Samus, N. N., Rastorgouev, A. S.
openaire   +2 more sources

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

open access: yesAdvanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek   +7 more
wiley   +1 more source

Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric

open access: yesAdvanced Engineering Materials, EarlyView.
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick   +7 more
wiley   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong   +11 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Assessing the Powder Bed Fusion–Laser Beam Potential of Glass‐Forming Alloys Using Single and Multitrack Laser Glazing Experiments

open access: yesAdvanced Engineering Materials, EarlyView.
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy