Results 21 to 30 of about 294 (185)

Fundamental studies of premixed combustion [PDF]

open access: yes, 1998
The thesis comprises a fundamental study of spherical premixed flame propagation,originating at a point under both laminar and turbulent propagation.
Haq, Md Zahurul
core  

Instabilities and soot formation in spherically expanding, high pressure, rich, iso-octane-air flames [PDF]

open access: yes, 2006
Flame instabilities, cellular structures and soot formed in high pressure, rich, spherically expanding iso-octane-air flames have been studied experimentally using high speed Schlieren cinematography, OH fluorescence, Mie scattering and laser induced ...
Lockett, R. D.
core   +1 more source

Coagulative Granular Hydrogels with an Enzyme Catalyzed Fibrin Network for Endogenous Tissue Regeneration

open access: yesAdvanced Healthcare Materials, EarlyView.
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng   +16 more
wiley   +1 more source

Effects of inert gas addition on the characteristics of spherically expanding hydrogen-methane-air premixed flames in closed combustion vessels

open access: yesJournal of Thermal Science and Technology
In the serious accident at Fukushima Daiichi Nuclear Power Station, the presence of steam together with flammable organic compounds affected the hydrogen explosion. To investigate the effects of addition of inert gas, i.e.
Toshiyuki KATSUMI   +7 more
doaj   +1 more source

Uncertainty in stretch extrapolation of laminar flame speed from expanding spherical flames

open access: yesProceedings of the Combustion Institute, 2015
Abstract The present work investigated the uncertainties associated with the extrapolation of stretched flames to zero stretch in flame speed measurements using expanding spherical flames. Direct numerical simulations of time evolution of expanding spherical flames from a small ignition kernel to a propagating front with sufficiently large radius ...
Wu, Fujia   +4 more
openaire   +1 more source

Fundamental studies of combustion of droplet and vapour mixtures [PDF]

open access: yes, 2010
There are few experimental data of a fundamental nature that clearly demonstrate the similarities and differences in burning rates between single phase and two phase combustion, either in laminar or turbulent conditions. Such data are essential towards a
Saat, Aminuddin
core  

A study of propagation of spherically expanding and counterflow laminar flames using direct measurements and numerical simulations [PDF]

open access: yes, 2015
WOS:000348047500069International audienceSpherically expanding and counterflow flame configurations are used extensively to determine laminar flame speeds.
Zhao, Runhua   +6 more
core   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

open access: yesAdvanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Experimental and theoretical studies of combustion rates at high pressure [PDF]

open access: yes, 2004
The thesis reports experimental and theoretical studies of premixed combustion rates at high pressure and temperature. It focuses on measurements of laminar and turbulent burning velocities at high pressures and temperatures approaching those in engines,
AI-Shahrany, Ali Saied   +1 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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