Institute of Applied Mechanics (MIB)

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191 to 200 of 603 Results

NaCL.xlsx Nov 20, 2023 - Ion Flow Through Neural Ion Membrane: scripts and data MS Excel Spreadsheet - 8.8 KB - MD5: 21995c570dee94a4ee4d9e2b26c89034
sim_IV.mat Nov 20, 2023 - Ion Flow Through Neural Ion Membrane: scripts and data MATLAB Data - 30.9 KB - MD5: 955a22effe64547fd8172d27f6820bee
SPP2311: Ultrasound Neuromodulation(University of Stuttgart) Nov 10, 2023Chair of Material Theory Ultrasonic neuromodulation (UNM) is among the most significant new technologies being developed for human neuroscience because it can provide non-invasive control of neural activity in deep-brain regions with millimeter spatial precision and has elicited a surge of recent interest. UNM complements human imaging techniques for studying brain connect...
Chair of Material Theory(University of Stuttgart) Nov 10, 2023
Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel Sep 12, 2023 - Publication: Microfluidic experiments Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios, 2022, "Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel", https://doi.org/10.18419/DARUS-2816, DaRUS, V2 The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC77...
FC770_k0736_Ca479e-5_20220209_snpsts0001-1181.mp4 Sep 12, 2023 - Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel MPEG-4 Video - 36.3 MB - MD5: 890fc0239d6ccf279ba5bea92d4d9d3a Visual example of the co-flow of the wetting and the non-wetting phase in the pore space.
Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/DARUS-3244, DaRUS, V1 This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in previous study by Psihogios et al. (2007), where the simulations were f...
designs_fixed_lambda.7z Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm 7Z Archive - 65.0 MB - MD5: d8a1138be37f2ed3b66e90fff018d70b Designed domains with fixed_lambda (porosity : 0.45, lambda : 45)
designs_relative_lambda.7z Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm 7Z Archive - 179.6 MB - MD5: 00de6a2984a3b4b93f332a9509c5a0b8 Designed domains with relative lambda (fixed ratio of lambda (lambda = domain_size/20)) (porosity : 0.15, 0.25 and 0.45, lambda : 5, 10, 15, 20, 25, 30 and 35)
designs_Representative_500s.7z Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm 7Z Archive - 16.6 MB - MD5: ce09ef2f10faac195400daf147fc2f28 Designed representative domains (porosity : 0.25, lambda : 15, 25, 35 and 45).

NaCL.xlsx

Nov 20, 2023 - Ion Flow Through Neural Ion Membrane: scripts and data

MS Excel Spreadsheet - 8.8 KB -

sim_IV.mat

Nov 20, 2023 - Ion Flow Through Neural Ion Membrane: scripts and data

MATLAB Data - 30.9 KB -

SPP2311: Ultrasound Neuromodulation(University of Stuttgart)

Nov 10, 2023Chair of Material Theory

Ultrasonic neuromodulation (UNM) is among the most significant new technologies being developed for human neuroscience because it can provide non-invasive control of neural activity in deep-brain regions with millimeter spatial precision and has elicited a surge of recent interest. UNM complements human imaging techniques for studying brain connect...

Chair of Material Theory(University of Stuttgart)

Nov 10, 2023

Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel

Sep 12, 2023 - Publication: Microfluidic experiments

Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios, 2022, "Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel", https://doi.org/10.18419/DARUS-2816, DaRUS, V2

The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC77...

FC770_k0736_Ca479e-5_20220209_snpsts0001-1181.mp4

Sep 12, 2023 - Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel

MPEG-4 Video - 36.3 MB -

Visual example of the co-flow of the wetting and the non-wetting phase in the pore space.

Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation

Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/DARUS-3244, DaRUS, V1

This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in previous study by Psihogios et al. (2007), where the simulations were f...

designs_fixed_lambda.7z

Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

7Z Archive - 65.0 MB -

Designed domains with fixed_lambda (porosity : 0.45, lambda : 45)

designs_relative_lambda.7z

Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

7Z Archive - 179.6 MB -

Designed domains with relative lambda (fixed ratio of lambda (lambda = domain_size/20)) (porosity : 0.15, 0.25 and 0.45, lambda : 5, 10, 15, 20, 25, 30 and 35)

designs_Representative_500s.7z

Sep 6, 2023 - Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

7Z Archive - 16.6 MB -

Designed representative domains (porosity : 0.25, lambda : 15, 25, 35 and 45).

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