We consider first the single-track bicycle model and state relations between the tires’ lateral forces and the turning radius. From the tire model, a relation between the lateral forces and slip angles is obtained. The extra rolling resistance forces from cornering are by linear approximation obtained as a function of the slip angles. The bicycle model is validated against the Magic-formula tire model from Adams. The bicycle model is then applied on an optimization problem, where the optimal velocity for a track for some given test cases is determined such that the energy loss is as small as possible. Results are presented for how much fuel it is possible to save by driving with optimal velocity compared to fix average velocity. The optimization problem is applied to a specific laden truck. / Vi betraktar först den enspåriga cykelmodellen och ställer upp samband mellan däckens sidokrafter och kurvradien. Genom däcksmodellen fås ett samband för hur sidokrafterna beror av slipvinklarna. De extra rullmotståndskrafterna för kurvor fås via linjär approximation som funktion av slipvinklarna. Cykelmodellen valideras mot en däcksmodell från Adams. Cykelmodellen tillämpas sedan på ett optimeringsproblem där den optimala hastigheten längs en bana för några givna testfall bestäms så att energiförlusten blir så liten som möjligt. Resultat presenteras för hur mycket bränsle det är möjligt att spara genom att köra med optimal hastighet jämfört med fix medelhastighet. Optimeringsproblemet tillämpas på en specifik lastad lastbil.

Considering the more and more important issues concerning the climate changes and the global warming, the automotive industry is paying more and more attention to vehicle concepts with full electric or partly electric propulsion systems. The introduction of electric power sources allow the designers to implement more advanced motion control systems in vehicle, such as active suspensions. An example of this concept is the Autonomous corner module (ACM), designed by S. Zetterström. The ACM is a modular based suspension system that includes all features of wheel control, such as control of steering, wheel torque and camber individually, using electric actuators. With a good control strategy it is believed that is it possible to reduce the fuel consumption and/or increase the handling properties of the vehicle. In particular, camber angle has a significant effect on vehicle handling. However, very few efforts have been done in order to analyse its effects on tire dissipated energy. The aim of this study is to develop a new tire model, having as starting point the simple Brush Tire model, in order to analyse the tire behaviour, in terms of forces generated and energy dissipated, for different dynamic situations. In order to reach this scope, the characteristic equations of the rubber material are implemented in a 3D Multi-Line brush tire model. In this way the energy dissipated, thus the rolling resistance force, can be studied and analysed, considering also the tire geometry. From the results of this work it is possible to assert that the angular parameters (e.g. camber angle) affect the power losses in rolling tires, as well as the tire geometry influences their rolling resistance. Thus, using a good control strategy, it is possible to reduce the power losses in tires.

UCO (Ultra Clean Oil) module, an innovative adaption of existing used rolling oil treatment in the Aluminum industry, is being studied for its potential market in China. In this article, conventional used rolling oil treatment process in China has been evaluated and compared with the UCO module in technical and economic aspects. This article also discusses the effect of these two processes on the environment. The UCO module presented in this article, has the potential to significantly reduce the impurities in the used rolling oil and also save the cost for the raw materials, manpower, maintenance and operation for more than 1,600,000 Kr a year. With the new ― state of art‖ equipment, the UCO module has less negative effect on the environment. The UCO module appears to be more efficient but profitability was found to be lower than the conventional process in China.

In this study a biosensor based on real time quartz crystal microbalance (QCM) monitoring is optimized and characterized for the application in the Norosensor. This biosensor is aimed to recognise, capture and amplify Norovirus (NoV). In an initial step a simplified bioassay was developed that focuses on the latter parts of the assay which consists of DNA-guided probing and amplification of the captured virus and includes the development of an amplification model assay directly to the functionalised crystal surface. A padlock probe with matching sequence to the conjugated oligonucleotide on the quartz crystal surface is used as target in the model assay. Although a number of studies have been carried out based on padlock probe ligation and rolling circle amplification (RCA) based QCM sensing, these studies utilize the entire crystal surface to capture and amplify the biomolecule. In this research work the QCM monitoring is explored on a centrally functionalised electrode surface through conjugation only at the centre of the electrode for increased mass sensitivity. Thus, allowing capture and amplification of the padlock probe only at the centre of the quartz crystal. A 14mm diameter, thermoncompensated AT-cut, nonpolished quartz crystal with a 10mm diameter gold surface coating acting as electrode was utilized for QCM measurements. The detection system is based on mass binding and amplification on the QCM to produce a negative frequency shift in the fundamental frequency of the vibrating quartz crystal. The amplification products were additionally fluorescently labelled and fluorescent microscopy images were also obtained at the end of every experiment to verify the presence or absence of DNA capture and amplification. Experimental findings show that the current flow chamber with a 15ul capacity is able to detect a specific padlock probe concentration of 1nM on a conjugated region of ~2.5mm diameter. RCA amplified the mass with an average frequency shift of -80Hz in 60mins RCA incubation time. Further, the specificity and sensitivity of the QCM system was explored. However, the system has limitations where sensor binding of reaction proteins, such as DNA ligase and BSA, to some extent is observed. The storage stability of the functionalized self-assembled monolayer (SAM) on the QCM is also observed to deteriorate and thus, is of concern. Nevertheless the combination of RCA based amplification with QCM real-time monitoring has the potential for rapid and simple, low cost detection of the Norovirus. / I det här arbetet har vi optimerat och karateriserat en biosensor för detektion av Norovirus som orsakar häftiga utbrott av kräksjuka under vinterhalvåret vilket leder till både försämrad vård samt stora ekonomiska förluster för samhället. Målet inom EU projektet “Norosensor” är att utveckla ett snabbtest som kan tillämpas efter ett utbrott på till exempel en vårdavdelning och som ska mäta mängden virus i luften vilket kan fungera som riktlinje för om en avdelning är säker att användas eller ej. Tekniskt är målet med testet att fånga in viruspartiklar från luften som specifikt binds till sensorytan. Därefter ökar vi känsligheten från bundna partiklar genom en DNA-baserad amplifiering. Detta genererar specifik, viruskorrelerad massa som mäts med en kvartskristall mikrovågs sensor. När massan ökar minskar frekvenser vid vilken kristallen vibrerar och detta mäts i realtid. Det här arbetet har inte behandlat infångande eller inbindning av virus utan har fokuserat på den senare delen av protokollet som omfattar amplifieringen på sensorytan. En modell-assay har därför utvecklats där viruspartikeln istället representeras av en så kallad “padlock probe” (hänglås probe). Då sensorn är mycket känslig har först olika protokoll testats för effektiv rengöring av ytan med hjälp av ultraljud. I nästa steg har ytan funktionaliserats med thiol-modifierade syntetiska DNA molekyler som används för infångningen av målmolekylen på sensorytan (virus eller i detta fall padlock proben). Det har tidigare uppskattats att för att få maximal känslighet i massmätningen så är det fördelaktigt att binda viruset endast i mitten på en mycket liten yta av kristallen. Den här avhandlingen har därför fokuserat på att utveckla protokoll för detta där ytan först funtionaliserats i mitten innan resten av ytan blockats för att undvika ospecific inbindning. Resultaten visar att vi kan generera en centrerad funtionalisering och att vi får låg ospecifik binding. Protokollet består av flera biokemiska reakionssteg såsom (i) inbindning och lingering av padlock probe och (ii) amplifiering av den ligerade proben genom “rolling circle amplification”. För att kunna verifiera att vi fått amplifieringsprodukter på ytan har vi dels mätt frekvensändringen på grund av ökad massa men också märkt in dem med fluorescerande molekyler och detekterat dem i microskop. Under arbetets gång har ett flertal olika typer av kristaller testats. Det visade sig att om en polerad yta används (1μm grovhet) så migrerade molekylerna iväg från mitten när vi oscillerade kristallen medan vi fick bättre resultat om något grövre (3μm) ytor användes. Vi testade även ett flertal olika flödesceller av olika material och med olika reaktionsvolymer. Eftersom kristallen är mycket känslig så påverkar faktorer som flödeshastigheter och eventuella luftbubblor frekvensen. Vi optimerade därför detta och körde mätningarna vi6konstant flöde men med alternerande, låga hastigheter när vi tillsatte nya reagens eller inkuberade reaktionerna. Vi förvärmde även reaktionsmixarna för att minska ospeficika effekter och konstaterade att den funktionaliserade ytan påverkades av lagring över tid. I våra försök såg vi att protein såsom ligeringsenzymet och albumin, vilka har förhållandevis stor massa, hade effekter på frekvensen redan i sig genom att binda till ytan. Ytterligare optimeringar måste därför göras framöver för att minska denna inbinding bland annat genom bättre tvättsteg. Vi kunde dock påvisa linjär massökning med ökad amplifieringstid och har bevisad hög specificitet. Slutligen utvecklades ett litet mjukvaruprogram för att automatisera analysen och minska bruset. Sammanfattingsvis har vi lyckats utveckla ett enkelt och snabbt system för specifik massamplifering av Norovirus.

Magnetic nanoparticles have great potential in the biomedical and diagnostics field. Due to their small size, the particles have a high surface-to-volume ratio which enables for biofunctionalisation with different molecular probes. This makes itpossible to target them against a wide variety of biomarkers. In this project, the aim was to develop a magnetic nanoparticle-based DNA detection method with respectto sensitivity by employing circle-to-circle amplification, which is an extension of rolling circle amplification, in order to increase the assay sensitivity. The method provides high specificity due to the use of padlock probes for amplification. The project included testing and optimising the protocol used for DNA amplification and detection with a synthetic target, which involved testing different padlock probes, incubation times and incubation temperatures. Lastly, the method was tested on a biological target. It has recently been shown that specific aggregation occurs between magnetic nanoparticles and DNA, which enables for a visual readout strategy sincethe aggregates are visible to the naked eye. Initial testing of the method yielded asensitivity of about 100 attomoles. The achieved sensitivity after the optimisation work was 1 attomole of both synthetic and biological DNA targets. This is an improvement compared to the 400 attomoles that has previously been reported with one round of rolling circle amplification. The results can be used in further development of the naked-eye DNA detection method towards the realisation of a commercially attractive bioanalytical device.

>Magister Scientiae - MSc / Drought is a major stress that affects the productivity of plants across the globe. The consequences of drought are posed to continue reducing agricultural productivity as world climate changes. This makes it imperative to improve tolerance of staple food crops to drought. Under drought stress, reactive oxygen species (ROS) accumulate, which may lead to oxidative damage of DNA, proteins and lipids.

Cette thèse est consacrée à la planification robuste du matériel roulant ferroviaire dans un contexte de transport de voyageurs régional. Il s'agit de déterminer pour chaque engin une suite de trajets à réaliser sur une période donnée de façon à résister au mieux aux aléas pouvant apparaître en opérationnel. Dans ce but, nous proposons une définition et une caractérisation de la robustesse par des indicateurs propres au contexte d'étude. Nous abordons le problème par une approche structurelle différente des approches robustes classiques qui permet d'agir sur la structure d'une solution en fonction des indicateurs définis. Trois méthodes sont alors mises en œuvre dans le cadre de ce travail. Une résolution approchée par une heuristique gloutonne et une recherche locale permet d'obtenir des solutions rapidement. Une méthode de résolution approchée par génération de colonnes a été développée afin de prendre en compte plus de contraintes de façon intégrée. Une méthode basée sur un programme linéaire en nombres entiers résolu exactement traite un problème plus général. Afin de limiter le coût de la robustesse, ces méthodes sont basées sur un existant à SNCF répondant au problème de planification des ressources matérielles à coûts de production minimaux. Un outil de simulation du comportement des solutions en situation perturbée permet de comparer les solutions entre elles par évaluation des indicateurs de robustesse. Des expérimentations sur des instances réelles ont prouvé la pertinence des approches et ont mené à l'industrialisation d'un prototype. / This thesis deals with robust rolling-stock planning problems for passenger regional trains. It consists in building robust rolling-stock schedules to operate trains under technical constraints while anticipating operational disturbances that can occur. First of all, we define indicators to characterize robustness in context. We use these indicators to have an effect on solutions that we build. This structural approach is unusual compared to classical robust optimization approaches. We have implemented three methods to solve the problem. A sequential heuristic method enhanced by a local search gives solutions quickly. A column-generation method calculates approximate solutions.An integer linear program is solved exactly to obtain solutions to a global problem. These methods are based on an existing tool at SNCF that optimizes the rolling-stock planning problem to assure optimal production costs. A simulation tool evaluates robustness indicators to compare solutions. Tests on real instances have proved the relevance of the approaches and have lead to the use of a prototype in production

Symbolic dynamics is a current interest in the area of anomaly detection, especially in mechanical systems.  Symbolic dynamics reduces the overall dimensionality of system responses while maintaining a high level of robustness to noise.  Rolling element bearings are particularly common mechanical components where anomaly detection is of high importance.  Harsh operating conditions and manufacturing imperfections increase vibration innately reducing component life and increasing downtime and costly repairs.  This thesis presents a novel way to detect bearing vibrational anomalies through Symbolic Aggregate Approximation (SAX) in the two-dimensional time-frequency domain.  SAX reduces computational requirements by partitioning high-dimensional sensor data into discrete states.  This analysis specifically suits bearing vibration data in the time-frequency domain, as the distribution of data does not greatly change between normal and faulty conditions. Under ground truth synthetically-generated experiments, two-dimensional SAX in conjunction with Markov model feature extraction is successful in detecting anomalies (> 99%) using short time spans (< 0.1 seconds) of data in the time-frequency domain with low false alarms (< 8%).  Analysis of real-world datasets validates the performance over the commonly used one-dimensional symbolic analysis by detecting 100% of experimental anomalous vibration with 0 false alarms in all fault types using less than 1 second of data for the basis of 'normality'. Two-dimensional SAX also demonstrates the ability to detect anomalies in predicative monitoring environments earlier than previous methods, even in low Signal-to-Noise ratios. / Master of Science

This thesis describes a study of the influence of surface texturing on rolling contact fatigue of non-conformal contacts. The texture depth and density have been considered during experiments. It also presents the methodology and the procedure of creation of micro-dents on sample surfaces. Described results suggested that properly designed surface texturing should not necessarily increase the risk of fatigue failure of rubbing surfaces.

The Ph.D. thesis is focused on a surface degradation mechanisms under combined heat and mechanical load. The objects of examination are work rolls from hot rolling mill which suffer such a load. In first chapter, the hot rolling process, the design, the manufacturing process and present materials of work rolls are described. The state-of-the-art study of work roll surface degradation mechanisms – wear, oxidation, thermal and contact fatigue are described in the second chapter. The characterization, the formation, the mechanisms of progression and the effects of each surface degradation mechanism is described step by step. The state-of-the-art study of analytical and numerical models which are related to hot rolling process is described in third chapter together with their limitations and flaws. The next chapters contain design of an analytical, an optimized macroscopic and a microscopic model for study of the work roll stress state. The macroscopic and the microscopic model is based on finite element method and they are implemented in ANSYS Programming Design Language. The models are used to process several case study which are based on previous experimental work of the Heat transfer and fluid flow laboratory. The results from case studies specify and expand the knowledge of work roll stress state. The results show the portion of each loading factor on the whole stress state. In addition, time and depth depended distribution of stress state is presented. The results from macrosferic model illustrate the cause of spalling and a rupture of the work roll. The results from the microsferic model show the cause of creation of the to-surface-parallel cracks within carbides of high chromium irons. Last chapter summarized of all results gathered from case studies together with the goals for further research definition. The necessary steps for further cognition are stated. The thesis contains a large set of appendixes with deeper discussion of several related topics. These appendixes represent the one third of whole the thesis.