Results 31 to 40 of about 90,194 (288)

An experimental investigation of rheological characteristics of non- Newtonian nanofluids [PDF]

Journal of Heat and Mass Transfer Research, 2014
Rheological characteristics of Al2O3, CuO and TiO2 nano particles were investigated in oil asthe base fluid at 1 and 2 wt.%. Constitutive relations for non-Newtonian fluid were discussedbased on the power-law model. Measured viscosities of each nanofluid
Milad Tajik Jamal-Abad, Maziar Dehghan, Seyfolah Saedodin, Mohammad Sadegh Valipour, Amirhossein Zamzamian   +4 more
doaj   +1 more source

A Comparison of Newtonian and Non-Newtonian Models for Simulating Stenosis Development at the Bifurcation of the Carotid Artery

Fluids, 2023
Blood is a shear-thinning non-Newtonian fluid in which the viscosity reduces with the shear rate. When simulating arterial flow, it is well established that the non-Newtonian nature is important in the smallest vessels; however, there is no consistent ...
Aikaterini C. Stamou, Jovana Radulovic, James M. Buick   +2 more
doaj   +1 more source

Lattice Boltzmann simulations of unsteady Bingham fluid flows

Applications in Engineering Science
Transient flows of viscoplastic fluids have very peculiar characteristics. The startup and cessation flows of viscoplastic materials have been subject to many theoretical and numerical investigations. The most challenging aspect of numerical solutions of
Alan Lugarini, Marco A. Ferrari, Admilson T. Franco   +2 more
doaj   +1 more source

Droplet breakup driven by shear thinning solutions in a microfluidic T-Junction [PDF]

, 2017
Droplet-based microfluidics turned out to be an efficient and adjustable platform for digital analysis, encapsulation of cells, drug formulation, and polymerase chain reaction.
Chiarello, Enrico, Gupta, Anupam, Mistura, Giampaolo, Pierno, Matteo, Sbragaglia, Mauro   +4 more
core   +2 more sources

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Rheology of waxy oils: A critical review

Applications in Engineering Science
Waxy oil is a rheologically complex material presenting shear-rate-dependent viscosity, static and dynamic yield stresses, gel elasto-viscoplasticity, time/deformation-dependent gel structure, and irreversibility.
Diogo E.V. Andrade, Cezar O.R. Negrão
doaj   +1 more source

Rheology of Suspensions of Solid Particles in Liquids Thickened by Starch Nanoparticles

Colloids and Interfaces, 2023
The rheology of suspensions of solid particles in aqueous matrix liquids thickened by starch nanoparticles (SNP) was investigated. The SNP concentration varied from 9.89 to 34.60 wt% based on the aqueous matrix phase.
Ghazaleh Ghanaatpishehsanaei, Rajinder Pal   +1 more
doaj   +1 more source

Non-Newtonian gravity in finite nuclei

, 2012
In this talk, we report our recent study of constraining the non-Newtonian gravity at femtometer scale. We incorporate the Yukawa-type non-Newtonian gravitational potential consistently to the Skyrme functional form using the exact treatment for the ...
, Bao-An Li, Fujii Y, Hao Zheng, Jun Xu, Lie-Wen Chen, Moffat J W, Napolitano N R, Nesvizhevsky V V, Sanders R H, Wen D H, Xu J   +11 more
core   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Developing a machine learning-based methodology for optimal hyperparameter determination—A mathematical modeling of high-pressure and high-temperature drilling fluid behavior

Chemical Engineering Journal Advances
Drilling fluids exhibit complex rheological behavior due to a non-linear response to shear rate variations and high sensitivity to changes in temperature, time, and pressure conditions. The prediction of drilling fluid rheological behavior is crucial for
Luis H. Quitian-Ardila, Yamid J. Garcia-Blanco, Angel De J. Rivera, Raquel S. Schimicoscki, Muhammad Nadeem, Oriana Palma Calabokis, Vladimir Ballesteros-Ballesteros, Admilson T. Franco   +7 more
doaj   +1 more source