Spelling suggestions: "subject:"reynoldszahl"" "subject:"reynoldszahlen""
1 |
Experimental and numerical investigations of convective cooling configurations for gas turbine combustorsMaurer, Michael. Unknown Date (has links) (PDF)
Stuttgart, University, Diss., 2008.
|
2 |
Numerische Simulation turbulenter Strömungen im Kontext der Wechselwirkung zwischen Fluid und StrukturBunge, Ulf. Unknown Date (has links) (PDF)
Techn. Universiẗat, Diss., 2004--Berlin.
|
3 |
Self-sufficient oscillating microsystem at low Reynolds numbersAkbar, Farzin 21 December 2022 (has links)
This work is inspired by the peculiar behavior of the natural systems, namely the ability to produce self-sustained oscillations in the level of tens of Hertz in constant ambient conditions. This feature is one of the key signatures prescribed to living organisms. The firing rate of neuronal cells, a pulsating heart, or the beating of cilia and flagella are among many biological examples that possess amazing functionalities and unprecedented intelligence solely relying on bio-electro-chemical processes. Exploring shapeable polymeric technologies, new self-oscillating artificial microsystems were developed within this thesis. These microsystems rely on the novel nonlinear architecture that exhibits a negative differential resistance (NDR) within the parametric response that enables periodic oscillations. These systems are made of polymers and metals and were microfabricated in a planar fashion. The electrochemically deposited ionic electroactive polymers act as actuators of the system. Upon the self-assembly process, due to the interlayer strains, the planar device transforms into a three-dimensional soft nonlinear system that is able to perform self-sustained relaxation oscillations when subjected to a constant electric field while consuming extremely low powers (as low as several microwatts). The parameters of these systems were tuned for a high oscillation amplitude and frequency. This electro-mechanical parametric relaxation oscillator (EMPRO) can generate a rhythmic motion at stroke frequencies that are biologically relevant reaching up to ~95 Hz. The EMPRO oscillations at high frequencies generate a flow in the surrounding liquid, which was observed in the form of vortices around the micro actuators. This flow was further studied in ex-vivo conditions by measuring Doppler shifts of ultrasound waves. The EMPRO was made autonomous by integrating an electrochemical voltaic cell. Four different electrochemical batteries were tested to match the power consumption of the EMPRO system and electrochemical compatibility of the surrounding media. An Ag-Mg primary cell was then integrated with the EMPRO for autonomous operation without the need for external power sources, cables or controllers. This biomimicking self-powered self-sustaining oscillating microsystem is envisioned to be useful in novel application scenarios operating at low Reynolds numbers in biologically relevant conditions. Furthermore, as the system is electromechanical in nature, it could be integrated with electronic components such as sensors and communication devices in the next generation of autonomous microsystems.:
Table of contents
Acronyms 7
1 Introduction 8
1.1 Motivation 9
1.2 Objectives 9
1.3 Thesis organization 10
2 Background 12
2.1 A brief review on nonlinear self-oscillation 12
2.2 Self-oscillating biological systems 13
2.3 Stimuli responsive materials 15
2.3.1 Electroactive polymers in electrochemical cells 16
2.3.2 Sources of electrical field for electroactive polymers 24
2.4 Self-oscillating synthetic systems 27
2.5 Movement in low Reynolds number regime 33
3 Materials and methods 38
3.1 Deposition methods 38
3.1.1 Photolithography 38
3.1.2 Plasma sputtering 41
3.1.3 Atomic layer deposition 42
3.1.4 Electrochemical polymerization 44
3.2 Shapeable polymeric platform technology 46
3.2.1 Sacrificial layer 46
3.2.2 Hydrogel swelling layer 47
3.2.3 Polyimide reinforcing layer 48
3.3 Characterization methods 49
3.3.1 Profilometry 49
3.3.2 Scanning electron and focused ion beam microscopy 50
3.3.3 Cyclic Voltammetry 52
3.3.4 Ultrasound and Doppler shift measurements 53
4 Electromechanical Parametric Relaxation Oscillators (EMPROs) 56
4.1 Relaxation oscillation in EMPROs 56
4.2 Theory of EMPRO relaxation oscillations 61
4.3 Realization of EMPROs 67
4.3.1 Design parameters of EMPROs 67
4.3.2 EMPRO on-chip battery integration 71
4.4 Fabrication of autonomous EMPROs 76
5 EMPRO performances 84
5.1 Externally biased EMPROs 84
5.2 Autonomous EMPROs 95
6 Conclusions and outlook 98
6.1 Outlook 99
Bibliography i
List of Figures and Tables xi
Versicherung xiii
Acknowledgements xiv
Scientific publications and contributions xvi
Theses xvii
Curriculum Vitae xix
|
4 |
Dynamics of Cilia and Flagella / Bewegung von Zilien und GeißelnHilfinger, Andreas 14 January 2006 (has links) (PDF)
Cilia and flagella are hair-like appendages of eukaryotic cells. They are actively bending structures that exhibit regular beat patterns and thereby play an important role in many different circumstances where motion on a cellular level is required. Most dramatic is the effect of nodal cilia whose vortical motion leads to a fluid flow that is directly responsible for establishing the left-right axis during embryological development in many vertebrate species, but examples range from the propulsion of single cells, such as the swimming of sperm, to the transport of mucus along epithelial cells, e.g. in the ciliated trachea. Cilia and flagella contain an evolutionary highly conserved structure called the axoneme, whose characteristic architecture is based on a cylindrical arrangement of elastic filaments (microtubules). In the presence of a chemical fuel (ATP), molecular motors (dynein) exert shear forces between neighbouring microtubules, leading to a bending of the axoneme through structural constraints. We address the following two questions: How can these organelles generate regular oscillatory beat patterns in the absence of a biochemical signal regulating the activity of the force generating elements? And how can the beat patterns be so different for apparently very similar structures? We present a theoretical description of the axonemal structure as an actively bending elastic cylinder, and show that in such a system bending waves emerge from a non-oscillatory state via a dynamic instability. The corresponding beat patterns are solutions to a set of coupled partial differential equations presented herein.
|
5 |
Dynamics of Cilia and FlagellaHilfinger, Andreas 07 February 2006 (has links)
Cilia and flagella are hair-like appendages of eukaryotic cells. They are actively bending structures that exhibit regular beat patterns and thereby play an important role in many different circumstances where motion on a cellular level is required. Most dramatic is the effect of nodal cilia whose vortical motion leads to a fluid flow that is directly responsible for establishing the left-right axis during embryological development in many vertebrate species, but examples range from the propulsion of single cells, such as the swimming of sperm, to the transport of mucus along epithelial cells, e.g. in the ciliated trachea. Cilia and flagella contain an evolutionary highly conserved structure called the axoneme, whose characteristic architecture is based on a cylindrical arrangement of elastic filaments (microtubules). In the presence of a chemical fuel (ATP), molecular motors (dynein) exert shear forces between neighbouring microtubules, leading to a bending of the axoneme through structural constraints. We address the following two questions: How can these organelles generate regular oscillatory beat patterns in the absence of a biochemical signal regulating the activity of the force generating elements? And how can the beat patterns be so different for apparently very similar structures? We present a theoretical description of the axonemal structure as an actively bending elastic cylinder, and show that in such a system bending waves emerge from a non-oscillatory state via a dynamic instability. The corresponding beat patterns are solutions to a set of coupled partial differential equations presented herein.
|
Page generated in 0.04 seconds