Results 91 to 100 of about 3,742,515 (329)

Revealing the Mechanisms for the Nucleation and Formation of Equiaxed Grains in Commercial Purity Aluminum by Fluid-Solid Coupling Induced by a Pulsed Magnetic Field

open access: yesSocial Science Research Network, 2020
This study considers the factors controlling the grain structure of commercially pure aluminium when a Pulsed Magnetic Field (PMF) is applied during solidification.
J. Jie   +8 more
semanticscholar   +1 more source

Seepage-stress coupled modeling for rainfall induced loess landslide

open access: yesTheoretical and Applied Mechanics Letters, 2019
Although rainfall is rare on the Loess Plateau of western China, landslides occur frequently there in rainy season. Surveys report that landslide hazards always follow heavy rains.
Danyang Zhou   +3 more
doaj   +1 more source

Dynamic behaviors of a laser-induced bubble and transition mechanism of collapse patterns in a tube

open access: yesAIP Advances, 2020
The pulsation of cavitation bubbles under constraint conditions has complex dynamic characteristics and has been widely applied in various fields, such as liquid pumping, underwater propulsion, and clinical applications.
Hongchen Li   +6 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

open access: yesAdvanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič   +7 more
wiley   +1 more source

High-resolution NMR studies of solid halogenated organic compounds [PDF]

open access: yes, 1995
This thesis is a study of solid halogenated organic compounds by Nuclear Magnetic Resonance Spectroscopy (NMR) in an attempt to extract previously inaccessible information.
Carss, Steven Andrew
core  

Improving mechanical performance of fused deposition modeling lattice structures by a snap-fitting method

open access: yesMaterials & Design, 2019
A snap-fitting method is introduced into fused deposition modeling (FDM) technique to fabricate BCC lattice structures of polylactic acid (PLA plus) with relative densities ranging from 2.1% to 8.3%.
Wenfeng Liu   +4 more
doaj   +1 more source

Theoretical Analysis and Numerical Simulation for Cavity Ring‐Down Spectroscopy

open access: yesAdvanced Photonics Research, 2021
To investigate the process of the creation of the ring‐down events in cavity ring‐down spectroscopy, theoretical formulae are derived for the interaction of the field in a cavity with the injection light, and a corresponding program for numerical ...
Qiansuo Yang
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

open access: yesAdvanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi   +3 more
wiley   +1 more source

Numerical simulation of multi-field coupling in geothermal reservoir heat extraction of enhanced geothermal systems

open access: yesJournal of Petroleum Exploration and Production Technology
The coupled analysis of multi-field heat and mass transfer in geothermal reservoirs is a pivotal concern within the realm of geothermal rock exploitation. It holds significant implications for the assessment of thermal energy capacity and the formulation
Zhi Zeng   +5 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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