Modélisation statistique de l’érosion de cavitation d’une turbine hydraulique selon les paramètres d’opération

Dans une turbine hydraulique, la rotation des aubes dans l’eau crée une zone de basse pression, amenant l’eau à passer de l’état liquide à l’état gazeux. Ce phénomène de changement de phase est appelé cavitation et est similaire à l’ébullition. Lorsque les cavités de vapeur formées implosent près des parois, il en résulte une érosion sévère des matériaux, accélérant de façon importante la dégradation de la turbine. Un système de détection de l’érosion de cavitation à l’aide de mesures vibratoires, employable sur les turbines en opération, a donc été installé sur quatre groupes turbine-alternateur d’une centrale et permet d’estimer précisément le taux d’érosion en kg/ 10 000 h. Le présent projet vise à répondre à deux objectifs principaux. Premièrement, étudier le comportement de la cavitation sur un groupe turbine-alternateur cible et construire un modèle statistique, dans le but de prédire la variable cavitation en fonction des variables opératoires (tels l’ouverture de vannage, le débit, les niveaux amont et aval, etc.). Deuxièmement, élaborer une méthodologie permettant la reproductibilité de l’étude à d’autres sites. Une étude rétrospective sera effectuée et on se concentrera sur les données disponibles depuis la mise à jour du système en 2010. Des résultats préliminaires ont mis en évidence l’hétérogénéité du comportement de cavitation ainsi que des changements entre la relation entre la cavitation et diverses variables opératoires. Nous nous proposons de développer un modèle probabiliste adapté, en utilisant notamment le regroupement hiérarchique et des modèles de régression linéaire multiple.

New Simulated Corrugated Scaltering Surface Giving Widebandcharacter I Sti Cs

Simultaneous elimination of specular reflection and backscattered power from a plane metallic surface by simulated corrugated surfaces of constant period and variable strip width for TM polarisation is reported. This new configuration offers almost a ten-fold frequency bandwidth compared with a regularly spaced strip grating of the same size.

Elastic constant measurements of super ionic LiKSO4:Na single crystals

Elastic properties of sodium doped Lithium potassium sulphate, LiK0.9Na0.1SO4, crystal has been studied by ultrasonic Pulse Echo Overlap [PEO] technique and are reported for the first time. The controversy regarding the type of crystal found while growth is performed at 35 °C with equimolar fraction of Li2SO4H2O, K2SO4 and Na2SO4 has been resolved by studying the elastic properties. The importance of this crystal is that it exhibits pyroelectric, ferroelectric and electro optic properties. It is simultaneously ferroelastic and superionic. The elastic properties of LiK0.9Na0.1SO4 crystal are well studied by measuring ultrasonic velocity in the crystal in certain specified crystallographic directions and evaluating the elastic stiffness constants, compliance constants and Poisson’s ratios. The anisotropy in the elastic properties of the crystal are well explained by the pictorial representation of the surface plots of phase velocity, slowness and linear compressibility in a-b and a-c planes.

Electrical conductivity, dielectric constant and phase transitions in pure and doped diammonium hydrogen phosphate

DC and AC electrical conductivity measurements in single crystals of diammonium hydrogen phosphate along the c axis show anomalous variations at 174, 246 and 416 K. The low-frequency dielectric constant also exhibits peaks exactly at these temperatures with a thermal hysteresis of 13 degrees C for the peak at 416 K. These specific features of the electrical properties are in agreement with earlier NMR second-moment data and can be identified with three distinct phase transitions that occur in the crystal. The electrical conductivity values have been found to increase linearly with impurity concentration in specimens doped with a specific amount of SO42- ions. The mechanisms of the phase transition and of the electrical conduction process are discussed in detail.

Effect of deuteration on the electrical conductivity, dielectric constant and phase transitions in LiNH4SO4

Measurements of dc conductivity and dielectric constant show that deuteration causes an upward shift of the high temperature phase transition point from 186.5 to 191°C and a downward shift of the low temperature transition point from 10 to -1.5°C in LiNH4SO4. Mechanisms of phase transitions and of electrical transport in the crystal are discussed.

Recurrence Quantification Analysis of System Signals for Detecting Tool and Chatter in Turning

In this thesis, the applications of the recurrence quantification analysis in metal cutting operation in a lathe, with specific objective to detect tool wear and chatter, are presented.This study is based on the discovery that process dynamics in a lathe is low dimensional chaotic. It implies that the machine dynamics is controllable using principles of chaos theory. This understanding is to revolutionize the feature extraction methodologies used in condition monitoring systems as conventional linear methods or models are incapable of capturing the critical and strange behaviors associated with the metal cutting process.As sensor based approaches provide an automated and cost effective way to monitor and control, an efficient feature extraction methodology based on nonlinear time series analysis is much more demanding. The task here is more complex when the information has to be deduced solely from sensor signals since traditional methods do not address the issue of how to treat noise present in real-world processes and its non-stationarity. In an effort to get over these two issues to the maximum possible, this thesis adopts the recurrence quantification analysis methodology in the study since this feature extraction technique is found to be robust against noise and stationarity in the signals.The work consists of two different sets of experiments in a lathe; set-I and set-2. The experiment, set-I, study the influence of tool wear on the RQA variables whereas the set-2 is carried out to identify the sensitive RQA variables to machine tool chatter followed by its validation in actual cutting. To obtain the bounds of the spectrum of the significant RQA variable values, in set-i, a fresh tool and a worn tool are used for cutting. The first part of the set-2 experiments uses a stepped shaft in order to create chatter at a known location. And the second part uses a conical section having a uniform taper along the axis for creating chatter to onset at some distance from the smaller end by gradually increasing the depth of cut while keeping the spindle speed and feed rate constant.The study concludes by revealing the dependence of certain RQA variables; percent determinism, percent recurrence and entropy, to tool wear and chatter unambiguously. The performances of the results establish this methodology to be viable for detection of tool wear and chatter in metal cutting operation in a lathe. The key reason is that the dynamics of the system under study have been nonlinear and the recurrence quantification analysis can characterize them adequately.This work establishes that principles and practice of machining can be considerably benefited and advanced from using nonlinear dynamics and chaos theory.

Effective mass and dielectric constant mismatch effects in spherical multishell quantum dots

The role of effective mass and dielectric mismatches on chemical potentials and addition energies of many-electron multishell quantum dots (QDs) is explored within the framework of a recent extension of the spin density functional theory. It is shown that although the gross electronic density is located in the wells of these multishell QDs, taking position-dependent effective mass and dielectric constant into account can lead to the appearance of relevant differences in chemical potential and addition energies as compared to standard calculations in which the effective mass and the dielectric constant of the well is assumed for the whole multishell structure.

Fluid mechanics-non-linear waves studies on korteweg-de vries equations

In this thesis the author has presented qualitative studies of certain Kdv equations with variable coefficients. The well-known KdV equation is a model for waves propagating on the surface of shallow water of constant depth. This model is considered as fitting into waves reaching the shore. Renewed attempts have led to the derivation of KdV type equations in which the coefficients are not constants. Johnson's equation is one such equation. The researcher has used this model to study the interaction of waves. It has been found that three-wave interaction is possible, there is transfer of energy between the waves and the energy is not conserved during interaction.

Characterization of low dielectric constant polyaniline thin film synthesized by ac plasma polymerization technique

Polyaniline thin films were prepared by ac plasma polymerization technique. Capacitance, dielectric loss, dielectric constant and ac conductivity of these films were investigated in the frequency range from 100 Hz to 1MHz and in the temperature range from 300 to 373 K. Capacitance and dielectric loss decreased with frequency and increased with temperature. This type of behaviour was found to be in good agreement with an existing model. The ac conductivity σ(ω) was found to vary as ωs with the index s 1. Annealing of polyaniline thin films in high vacuum at 373K for 1 h was found to reduce the dielectric loss. FTIR studies reveal that the aromatic ring is retained in the polyaniline thin films, which enhances the thermal stability of the polymer films

Plasma Assisted Deposition Technique for Synthesis of low Dielectric Constant Polyanisidine Thin Films

Plasma Science, 2002. ICOPS 2002. IEEE Conference Record-Abstracts. The 29th IEEE International Conference on

Study on period search methods of variable stars: Application to ASAS and CRTS databases

Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

Exact algorithms for p-adic fields and epsilon constant conjectures

We develop several algorithms for computations in Galois extensions of p-adic fields. Our algorithms are based on existing algorithms for number fields and are exact in the sense that we do not need to consider approximations to p-adic numbers. As an application we describe an algorithmic approach to prove or disprove various conjectures for local and global epsilon constants.

Fluoreszenz und Lasertätigkeit in dünnen amorphen Schichten von Spirobifluorenderivaten

Es wurden die optischen Eigenschaften einiger Spirooligophenylverbindungen untersucht. Bei den Verbindungen handelte es sich um lineare und verzweigte Derivate des Spirobifluorens. Es wurden dünne amorphe Schichten der Verbindungen mittels spincoating und Vakuumverdampfen (OMBD) auf unterschiedlichen Substraten hergestellt. Mit spektroskopischer Ellipsometrie konnten die Schichtdicken und optische Konstanten der dünnen Schichten bestimmt werden. Dafür sind die Extinktionsspektren mit Tauc-Lorentz-Oszillatoren modelliert worden. Auf diese Weise ließen sich die optischen Konstanten der amorphen Filme besser beschreiben als mit den üblicherweise verwendeten Gauß-Oszillatoren. In dünnen Filmen von Spirosexiphenyl konnte uniaxiale Anisotropie nachgewiesen werden. Im Bereich der pie,pie*-Bande beträgt das Verhältnis des ordentlichen zum außerordentlichen Extinktionskoeffizienten 2.09. Mit einer Integrationskugel wurden die absoluten Quantenausbeuten der Fluoreszenz in festen Filmen bestimmt. Dafür ist ein vereinfachtes Verfahren der Auswertung entwickelt worden. Im Vergleich der untersuchten Substanzen zeigt sich, dass die Verbindungen mit dem Sexiphenyl-Chromophor höhere Quantenausbeuten im Festkörper haben (31 % - 48 %) als die Verbindungen mit Quaterphenyl als Chromophor (15 % - 30 %). In den beiden Klassen haben jeweils die sterisch anspruchsvollen Octopusvarianten die höchsten Festkörperquantenausbeuten. Durch verdünnen mit m,m-Spirosexiphenyl konnte die Quantenausbeute von p,p-Spirosexiphenyl in dünnen festen Filmen bis auf 65 % (95 % m,m- und 5 % p,p-Spirosexiphenyl) gesteigert werden. Eine Korrelation der Quantenausbeuten in Lösung und im festen, unverdünnten Film wurde nicht festgestellt. Als dünne Filme in Wellenleitergeometrie zeigen Spirooligophenyle bei optischer Anregung verstärkte spontane Emission (ASE). Dies manifestiert sich in einer Einengung des Emissionsspektrums mit zunehmender Pumpleistungsdichte. Auch für stimulierte Emission sind die Verbindungen mit Sexiphenylchromophor besser geeignet. Die niedrigste Schwelle in einer unverdünnten Reinsubstanz wurde mit 0.23 µJ/cm² in einer aufgeschleuderten Schicht Spirosexiphenyl gemessen. Auch 4-Spiro³, Spiro-SPO und Octo-2 zeigten niedrige ASE-Schwellen von 0.45 µJ/cm², 0.45 µJ/cm² und 0.5 µJ/cm². Die ASE-Schwellwerte von Spiroquaterphenyl und seinen beiden Derivaten Methoxyspiroquaterphenyl und Octo-1 sind mit 1.8 µJ/cm², 1.4 µJ/cm² und 1.2 µJ/cm² höher als die der Sexiphenylderivate. Im gemischten System aus m,m- und p,p-Spirosexiphenyl konnte die ASE-Schwelle noch weiter gesenkt werden. Bei einer Konzentration von 5 % p,p-Spirosexiphenyl wurde ein Schwellwert von nur 100 nJ/cm² bestimmt. Durch Dotierung mit unterschiedlichen Farbstoffen in Spirosexiphenyl als Matrix konnte ASE fast über den gesamten sichtbaren Spektralbereich gezeigt werden. Mit der „variable Streifenlänge“ (VSL-) -Methode wurden die pumpleistungsabhängigen Gainspektren dünner aufgedampfter Proben gemessen. Hieraus konnten die Wechselwirkungsquerschnitte der stimulierten Emission der Substanzen ermittelt werden. In Übereinstimmung mit den Verhältnissen bei den Festkörperfluoreszenzquantenausbeuten und den Schwellwerten der ASE sind auch bei den Gainkoeffizienten reiner Spirooligophenyle die besten Werte bei den Sexiphenylderivaten gefunden worden. Der Wirkungsquerschnitt der stimulierten Emission beträgt für Methylspiroquaterphenyl und Octo-1 ca. 1.8*10^-17 cm². Für Spiro-SPO und Spirosexiphenyl wurden Wirkungsquerschnitte von 7.5*10^-17 cm² bzw. 9.2*10^-17 cm² bestimmt. Noch etwas größer waren die Werte im gemischten System aus m,m- und p,p-Spirosexiphenyl (1.1*10^-16 cm²) und für DPAVB dotiert in Spirosexiphenyl (1.4*10^-16 cm²). Der höchste Maximalwert des Gainkoeffizienten von 328 cm-1 bei einer absorbierten Pumpenergiedichte von 149 µJ/cm² wurde mit Spirosexiphenyl erreicht. Abschließend wurden DFB-Laser-Strukturen mit reinen und dotierten Spirooligophenylverbindungen als aktiven Materialien vorgestellt. Mit Spiroterphenyl konnte ein DFB-Laser mit der bisher kürzesten Emissionswellenlänge (361.9 nm) in einem organischen Festkörperlaser realisiert werden. Mit reinen Spirooligophenylverbindungen und Mischungen daraus habe ich DFB-Lasing bei Wellenlängen zwischen 361.9 nm und 479 nm aufgezeigt. Durch Dotierung mit DPAVB wurde der Bereich der erreichbaren Wellenlängen bis 536 nm erweitert, bei gleichzeitiger Erniedrigung der Schwellenergiedichten für Lasertätigkeit. Bei Emissionswellenlängen von 495 nm bis 536 nm blieb die Laserschwelle zwischen 0.8 µJ/cm² und 1.1 µJ/cm². Diese Werte sind für DFB-Laser zweiter Ordnung sehr niedrig und geben Anlass zu glauben, dass sich mit DFB-Strukturen erster Ordnung Schwellen im Nanojoule Bereich erzielen lassen. Damit würde man den Bedingungen für elektrisch gepumpten Betrieb nahe kommen.

Einfluss der Führung des Trocknungsprozesses auf den Trocknungsverlauf und die Produkteigenschaften empfindlicher biologischer Güter

Die Konvektionstrocknung ist eine der ältesten Methoden zur Konservierung von Lebensmitteln. Es ist bekannt, dass Agrarprodukte temperaturempfindlich sind. Bei Überhitzung erleiden sie chemische und physikalische Veränderungen, die ihre Qualität vermindern. In der industriellen Praxis wird die Konvektionstrocknung in der Regel auf Grundlage empirisch ermittelter Werte durchgeführt, welche die Produkttemperatur nicht berücksichtigen. Es ist deshalb nicht sichergestellt, ob der Prozess optimal oder auch nur gut betrieben wird. Inhalt dieser Arbeit ist ein Vergleich der klassischen einstufigen Konvektionstrocknung mit einer Prozessführungsstrategie bei der die Produkttemperatur als Regelgröße eingeführt wird. Anhand der Untersuchung des Trocknungsverhaltens von Äpfeln werden die beiden Verfahren analysiert, die erhaltenen Ergebnisse miteinander verglichen und daraus optimierte Trocknungsbedingungen abgeleitet. Die für dieses Projekt entwickelte Prozessanlage erlaubt die simultane Untersuchung sämtlicher wesentlicher Temperaturen, der Gewichtsveränderung und der optischen Qualitätskriterien. Gleichzeitig ist es möglich, entweder die Lufttemperatur oder die Temperatur des Produktes zur regeln, während die jeweils andere Größe als Messwert erfasst wird. Es kann weiterhin zwischen Durch- und Überströmung gewählt werden.