Les assemblages multicouches polymère-métal, combinant la faible densité du polymère à la résistance du métal, se présentent comme une solution à fort potentiel pour répondre aux problématiques d’allégement de structure dans le secteur des transports. Plus particulièrement, ces travaux s’intéressent à l’élaboration de multicouches basés sur l’utilisation de polymères thermoplastiques thermostables associés à un alliage d’aluminium via un procédé de la métallurgie des poudres appelé « Spark Plasma Sintering » (SPS). Dans un premier temps, la mise en forme par SPS du polymère seul a été étudiée. Les influences des paramètres SPS tels que la température, la pression appliquée et le temps de maintien sur les caractéristiques structurales et les propriétés mécaniques du polyétheréthercétone (PEEK) ont été déterminées au moyen d’un plan d’expérience. Cette étude a permis de proposer des mécanismes de frittage et de mettre en évidence le rôle complexe joué par la pression sur la structure cristalline. Ensuite, le développement des assemblages, sans colle, d’un polyimide ou PEEK associé avec l’aluminium a été considéré. Une approche expérimentale a été mise en place, dans le but d’améliorer l’adhésion entre les deux matériaux. Des traitements de surface appliqués à l’aluminium visant à augmenter l’ancrage mécanique et la compatibilité chimique ont été testés. Le renforcement du polymère afin de limiter sa dilatation thermique a également été abordé. Les contributions de chacun des facteurs sont discutées sur la base de mesures d’adhérence et de caractérisations microstructurales. Cette stratégie a permis d’obtenir des multicouches avec une forte résistance à l’interface. / Polymer/metal multilayer assemblies, combining the low density of the polymer with the strength of the metal, are considered to be of great interest for high-demand engineering applications, especially in the transportation industries where the lightweighting issues are predominant. Keeping this in mind, the present study deals with the development of this kind of assembly, using thermostable thermoplastic polymers associated with an aluminum alloy by means of a powder metallurgy process: the “Spark Plasma Sintering” (SPS) technology. As the first part of this work, the sintering of the polymer was considered. The effects of SPS parameters such as temperature, pressure, and dwell time on mechanical properties of a PolyEtherEtherKetone (PEEK) were investigated thanks to a design of experiment. This study allowed to determine the mechanisms of polymer’s consolidation and the intricate role of pressure on the PEEK crystallinity was examined with particular attention. Then, the development of the assembly, without adhesive part, composed of both polymer (polyimide or PEEK) and aluminum alloy was considered. An approach was set up to improve the compliance between these dissimilar materials comprising: surface treatments on aluminum in order to enhance their mechanical anchoring and their chemical compatibility, as well as polymer reinforcement with the aim of reducing its thermal expansion. The efficiency of each solution is discussed based on microstructural and mechanical characterizations. This approach enabled to process multilayer assemblies with a significant strength at the interface.

O presente trabalho aborda o gerenciamento eletrônico de motores de combustão interna flex, com foco no desenvolvimento de uma estratégia de controle do avanço de ignição em função da ocorrência de combustão anormal conhecida como detonação, para se maximizar o torque de saída do motor. Primeiramente, é desenvolvido um método para a medição da composição de combustível e correção dos parâmetros de tempo de injeção e avanço de ignição, através de um sensor de composição de combustível. Tais parâmetros são definidos através de mapas que trabalham como um sistema de malha aberta. Em seguida, é desenvolvido um método para a leitura e detecção de detonação, em que são estudadas as particularidades do fenômeno para diferentes composições de combustível e a sua relação com a variação da temperatura do gás de escape e torque de saída do motor. Através do método de detecção e do estudo do fenômeno, é desenvolvido uma estratégia para controle do avanço de ignição em função da ocorrência da detonação. Esta abordagem permite ao sistema aumentar o avanço quando não há ocorrência de detonação, mas este avanço adicional é cancelado quando ocorre detonação. O gerenciamento do motor é realizado através de uma ECU de desenvolvimento modelo Flex-ECU, as estratégias de gerenciamento são desenvolvidos através da plataforma ASCET e a aquisição de dados e calibração de parâmetros são executados em uma ferramenta de medição e calibração. Os benefícios que o controle do avanço de ignição traz ao torque do motor são analisados e discutidos em função da rotação e da composição de combustível utilizado. / The present investigation explores the electronic management of internal combustion engines flex fuel, in which the focus is the development of a strategy for the spark advance angle as function of the abnormal combustion occurrence known ad Knock, in order to maximize the output torque. First, a method is developed for measuring the fuel composition and correction of the injection time and spark advance angle parameters through a fuel composition sensor. This parameter is defined through maps that work as an open loop system. Then, a method for detection of knock is developed, the peculiarities of the phenomenon are studied for different fuel compositions and the relationship of the phenomenon with the variation of the exhaust gas temperature and the engine output torque. Through the method of detection and the study of the phenomenon, an algorithm is developed to control the spark advance angle due to the knock occurrence, in which the approach allows the system to increase the angle when there is no occurrence of knock, but this additional angle is reduced when knock is detected. Engine management is performed through a development ECU model Flex-ECU, management algorithms are developed through the ASCET platform and data acquisition and calibration of and parameters is performed through a measurement and calibration platform. The result that the spark advance angle control brings to the engine torque output is analyzed and discussed depending on the rotation and the fuel composition used.

Le sujet de thèse s’inscrit dans une problématique d’allègement de structures des moyens de transport civils et militaires. Actuellement, les pièces de structures métalliques de ces moyens sont principalement composées d’alliages d’aluminium et d’aciers. Avec une densité inférieure et des propriétés mécaniques spécifiques similaires à ces métaux, l’alliage de magnésium AZ91 représente une solution de substitution prometteuse. En dépit de son durcissement structural par précipitation, ses propriétés mécaniques relativement faibles limitent son emploi actuel comme matériau de structure. Une amélioration de ces propriétés pourrait être permise au travers d’un affinement de la microstructure et d’un renforcement par l’ajout de particules céramiques. La métallurgie des poudres, en particulier le procédé Spark Plasma Sintering (SPS), permettrait d’allier ces deux voies d’amélioration en produisant un composite à fine microstructure avec un renforcement particulaire contrôlé. Cette thèse a pour objectifs le développement par SPS d’alliages AZ91, l’optimisation de leurs propriétés mécaniques par un contrôle de leur microstructure et l’étude de leur renforcement potentiel par l’ajout de particules de SiC. Le contrôle microstructural a été réalisé par l’intermédiaire des paramètres du procédé SPS et a porté principalement sur la densification de l’alliage, sa taille de grains et sa teneur en précipités. La caractérisation mécanique des matériaux produits a été composée d’essais de dureté, d’essais de compression en conditions quasi-statiques et dynamiques, ainsi que d’essais de traction. Les essais de traction ont été réalisés à l’issue d’un changement d’échelle de production, passant de pièces cylindriques Ø30 mm à des pièces Ø80 mm. Outre la réalisation d’essais de traction, le changement d’échelle a permis d’étudier la reproductibilité des conditions de production. Alors que l’optimisation mécanique des matériaux frittés a porté sur leurs propriétés en compression, les essais de traction ont permis d’évaluer leur cohésion et leur ductilité. Afin de montrer les améliorations permises par l’affinement microstructural et le renforcement particulaire, les matériaux élaborés par SPS ont été comparés à des alliages AZ91 produits par fonderie / The present PhD thesis falls within a structure lightweighting issue in the transport field for civil and military applications. Today, the metallic structural parts in transports are mainly composed of aluminum alloys and steels. With an inferior density and a similar specific mechanical strength to these metals, the AZ91 alloy appears to be a promising alternative. Despite its precipitation strengthening, its relative low mechanical properties limit its current use as engineering material. An improvement could be reached via microstructure refinement and ceramic particle strengthening. Powder metallurgy, involving Spark Plasma Sintering (SPS), will be used as an effective way to improve the AZ91 properties using these two approaches. AZ91 alloys were produced by SPS and reinforced by SiC particles. Their mechanical properties were optimized by microstructure control. This control was carried out by adjusting the SPS processing parameters to optimize the alloy densification, its grain size and its precipitate content. The mechanical properties of the materials were evaluated via hardness testing, compression tests in quasi-static and dynamic conditions as well as quasi-static tensile tests. The tensile tests were carried out after an up-scaling of the production process from Ø30 mm cylindrical pieces to Ø80 mm pieces. In addition to the tensile tests, the up-scaling step allowed to study the repeatability of the process conditions. While the mechanical optimization of the SPS processed materials was paid on their compressive properties, their tensile properties gave information on their cohesion and ductility. In order to highlight the mechanical improvement got by microstructure refinement and particle strengthening, the SPS processed materials were compared with cast AZ91 alloys

O presente trabalho aborda o gerenciamento eletrônico de motores de combustão interna flex, com foco no desenvolvimento de uma estratégia de controle do avanço de ignição em função da ocorrência de combustão anormal conhecida como detonação, para se maximizar o torque de saída do motor. Primeiramente, é desenvolvido um método para a medição da composição de combustível e correção dos parâmetros de tempo de injeção e avanço de ignição, através de um sensor de composição de combustível. Tais parâmetros são definidos através de mapas que trabalham como um sistema de malha aberta. Em seguida, é desenvolvido um método para a leitura e detecção de detonação, em que são estudadas as particularidades do fenômeno para diferentes composições de combustível e a sua relação com a variação da temperatura do gás de escape e torque de saída do motor. Através do método de detecção e do estudo do fenômeno, é desenvolvido uma estratégia para controle do avanço de ignição em função da ocorrência da detonação. Esta abordagem permite ao sistema aumentar o avanço quando não há ocorrência de detonação, mas este avanço adicional é cancelado quando ocorre detonação. O gerenciamento do motor é realizado através de uma ECU de desenvolvimento modelo Flex-ECU, as estratégias de gerenciamento são desenvolvidos através da plataforma ASCET e a aquisição de dados e calibração de parâmetros são executados em uma ferramenta de medição e calibração. Os benefícios que o controle do avanço de ignição traz ao torque do motor são analisados e discutidos em função da rotação e da composição de combustível utilizado. / The present investigation explores the electronic management of internal combustion engines flex fuel, in which the focus is the development of a strategy for the spark advance angle as function of the abnormal combustion occurrence known ad Knock, in order to maximize the output torque. First, a method is developed for measuring the fuel composition and correction of the injection time and spark advance angle parameters through a fuel composition sensor. This parameter is defined through maps that work as an open loop system. Then, a method for detection of knock is developed, the peculiarities of the phenomenon are studied for different fuel compositions and the relationship of the phenomenon with the variation of the exhaust gas temperature and the engine output torque. Through the method of detection and the study of the phenomenon, an algorithm is developed to control the spark advance angle due to the knock occurrence, in which the approach allows the system to increase the angle when there is no occurrence of knock, but this additional angle is reduced when knock is detected. Engine management is performed through a development ECU model Flex-ECU, management algorithms are developed through the ASCET platform and data acquisition and calibration of and parameters is performed through a measurement and calibration platform. The result that the spark advance angle control brings to the engine torque output is analyzed and discussed depending on the rotation and the fuel composition used.

L’allègement des structures des véhicules est l’une des problématiques actuelles majeures car il permet d’atteindre de meilleures performances, une autonomie plus importante et une consommation plus faible. Ceci est d’autant plus vrai dans le domaine de la défense où la nécessité de se protéger face aux menaces balistiques implique un ajout de masse conséquent. Les alliages d’aluminium sont pour l’instant l’un des meilleurs compromis, mais augmenter leurs performances permettrait un nouveau gain de masse. Dans ce contexte, la métallurgie des poudres (MdP) se présente comme une alternative de choix aux procédés de mise en forme traditionnels car elle permet de combiner différents modes de renforcement des propriétés mécaniques, à savoir la nanostructuration, l’écrouissage, les solutions solides et les renforts particulaires. Dans un premier temps, l’étude s’est focalisée sur la possibilité de combiner haute densité et durcissement structural d’un alliage Al-Zn-Mg. La précipitation confère au matériau brut fritté des propriétés mécaniques un peu plus faibles que celles d’un alliage AA7020 de coulée traité à l’état T651. L’approche a ensuite été appliquée à la poudre broyée, le but étant alors d’associer densité et précipitation tout en préservant les grains ultrafins obtenus par broyage. Enfin, la problématique de la consolidation de composites à matrice métallique à grains ultrafins et à renforts B4C a été abordée / Lightweight materials are very attractive in the global industry, and more specifically in the field of automotive and aeronautics fields. For army vehicles the reduction of the weight has increased the need for lightweight metal and ceramic armor systems ; the combination of these materials being a key element in modern packages. Nowadays, aluminum alloys are widely introduced in such systems. Increasing the mechanical properties of these alloys will automatically imply a decrease of the mass of ballistic protections. In this context, the powder metallurgy route appears promising as it allows simultaneously to nanostructure the matrix by strain hardening and to scatter properly particles reinforcements. First, the choice has been made to focus on the combination of high density and hardening precipitation of an Al-Zn-Mg alloy. Strengthening precipitates give the consolidated raw powder mechanical properties close to the ones of a commercial wrought aluminum alloy AA7020 in a T651 temper. Then the same process was optimized on a milled powder in order to preserve the fine grains obtained by high energy ball milling. Finally, B4C particles were introduced as reinforcements in the aluminum matrix to develop an ultrafine-grained metal matrix composite

The EU has recently proposed a new directive called PSD2, which requires banks to define APIs to the systems, allowing third party providers to write financial applications and access customers’ data inside the banks, with the permission of the customer. PSD2 becomes effective on 18th of January 2018 and is expected to open up the market and remove the monopoly and ownership of customers from banks. As it is a directive, all countries inside the EU and countries covered by the European economic area such as Norway,Switzerland, Liechtenstein and Iceland are affected. The business opportunity, which arises due to the directive, is an opportunity to find a way to be able to take the initiative and possibly monetize from the caused situation.The report presents a qualitative approach to develop a proof of concept with the purpose to display how an actor can create a solution that acts as a source of information and performs analysis to come up with valuable insights of consumers’ behaviour. The insights gained from this master thesis, open up new paths for innovation and competition on the market between actors providing similar services. / EU har nyligen publicerat ett nytt direktiv vid namn PSD2, som kräver att banker definierar ett API for deras system, ett API som ger tredjepartsutvecklar möjligheter att skapa finansiella applikationer och får tillgång till kunders information innuti bankens system, med kundes tillstånd. PSD2 träder i kraft från och med 18:e Januari 2018 och förväntas att öppna upp marknaden och upplösa det monopol och ägarskap banker har på sina kunder idag. I och med att det är ett direktiv, påverkar det alla länder inom EU och länder inom EUs ekonomiska gränser, så som Norge, Schweiz, Liechtenstein och Island. Affärsmöjligheten somöppnas på grund av direktivet, är en möjlighet att ta innitiativ och förhoppningsvis monetärisera från situationen.Rapporten presenterar en kvalitativ tillvägagång för att utveckla ett ”proof of concept”, med målet att visa hur en aktör kan skapa en lösning som agerar som källa för information och gör analyser på denna källa för att komma fram till värdefulla insikter om kunders beteende. Rapporten öppnar upp för nya vägar för innovation och konkurrans på marknaden mellan aktörer som tillhandahåller liknande tjänster.

Machine learning algorithms has its applications in almost all areas of our daily lives. This is mainly due to its ability to learn complex patterns and insights from massive datasets. With the increase in the data at a high rate, it is becoming necessary that the algorithms are resource-efficient and scalable. Gaussian processes are one of the efficient techniques in non linear modelling, but has limited practical applications due to its computational complexity. This thesis studies how parallelism techniques can be applied to optimize performance of Gaussian process regression and empirically assesses parallel learning of a sequential GP and a distributed Gaussian Process Regression algorithm with Random Projection approximation implemented in SPARK framework. These techniques were tested on the dataset provided by Volvo Cars. From the experiments, it is shown that training the GP model with 45k records or 219 ≈106 data points takes less than 30 minutes on a spark cluster with 8 nodes. With sufficient computing resources these algorithms can handle arbitrarily large datasets. / Maskininlärningsalgoritmer har sina applikationer inom nästan alla områden i vårt dagliga liv. Detta beror främst på dess förmåga att lära sig komplexa mönster och insikter från massiva datamängder. Med ökningen av data i en hög takt, blir det nödvändigt att algoritmerna är resurseffektiva och skalbara. Gaussiska processer är en av de effektiva teknikerna i icke-linjär modellering, men har begränsade praktiska tillämpningar på grund av dess beräkningskomplexitet. Den här uppsatsen studerar hur parallellismtekniker kan användas för att optimera prestanda för Gaussisk processregression och utvärderar parallellt inlärning av en sekventiell GP och distribuerad Gaussian Process Regression algoritm med Random Projection approximation implementerad i SPARK ramverk. Dessa tekniker testades på en datamängd från Volvo Cars. Från experimenten visas att det krävs mindre än 30 minuter att träna GP-modellen med 45k poster eller 219 ≈106 datapunkter på ett Spark-kluster med 8 noder. Med tillräckliga datoressurser kan dessa algoritmer hantera godtyckligt stora datamängder.

近年來，隨著大數據時代的來臨，即時資料運算面臨許多挑戰。例如在期貨交易預測方面，為了精準的預測市場狀態，我們需要在海量資料中建立預測模型，且耗時在數十毫秒之內。 在本研究中，我們將介紹一套即時巨量資料運算架構，這套架構將解決在實務上需要解決的三大需求：高速處理需求、巨量資料處理以及儲存需求。同時，在整個平行運算系統之下，我們也實作了數種人工智慧演算法，例如SVM (Support Vector Machine)和LR (Logistic Regression)等，做為策略模擬的子系統。本架構包含下列三種主要的雲端運算技術： 1. 使用Apache YARN以整合整體系統資源，使叢集資源運用更具效率。 2. 為滿足高速處理需求，本架構使用Apache Storm以便處理海量且即時之資料流。同時，借助該框架，可在數十毫秒之內，運算上千種市場狀態數值供模型建模之用。 3. 運用Apache Spark，本研究建立了一套分散式運算架構用於模型建模。藉由使用Spark RDD(Resilient Distributed Datasets)，本架構可將SVM和LR之模型建模時間縮短至數百毫秒之內。 為解決上述需求，本研究設計了一套n層分散式架構且整合上列數種技術。另外，在該架構中，我們使用Apache Kafka作為整體系統之訊息中介層，並支持系統內各子系統間之非同步訊息溝通。 / With the coming of the era of big data, the immediacy and the amount of data computation are facing with many challenges. For example, for Futures market forecasting, we need to accurately forecast the market state with the model built from large data (hundreds of GB to tens of TB) within tens of milliseconds. In this research, we will introduce a real-time big data computing architecture to resolve requests of high speed processing, the immense volume of data and the request of large data processing. In the meantime, several algorithms, such as SVM (Support Vector Machine, SVM) and LR (Logistic Regression, LR), are implemented as a subproject under the parallel distributed computing system. This architecture involves three main cloud computing techniques: 1. Use Apache YARN as a system of integrated resource management in order to apply cluster resources more efficiently. 2. To satisfy the requests of high speed processing, we apply Apache Storm in order to process large real-time data stream and compute thousands of numerical value within tens of milliseconds for following model building. 3. With Apache Spark, we establish a distributed computing architecture for model building. By using Spark RDD (Resilient Distributed Datasets, RDD), this architecture can shorten the execution time to within hundreds of milliseconds for SVM and LR model building. To resolve the requirements of the distributed system, we design an n-tier distributed architecture to integrate the foregoing several techniques. In this architecture, we use the Apache Kafka as the messaging middleware to support asynchronous message-based communication.

Ce travail de recherche porte sur l'élaboration de céramiques transparentes de CaLa₂S₄ pour la réalisation d'optiques MWIR et LWIR. Différentes méthodes de synthèse de poudres ont été explorées afin d'élaborer des poudres céramiques de grande pureté, cubiques et de morphologie adaptée à la densification. Il en a résulté le développement d'une méthode combustion comme nouvelle voie de synthèse de ce matériau. Différentes techniques de frittage ont été explorées : le SPS, le pressage à chaud (HP) et le frittage sous sulfure d'hydrogène (H₂S) suivi d'un post-frittage HIP. Le pressage à chaud permet d'élaborer des céramiques transparentes dans l'IR. Cependant leurs propriétés optiques sont dégradées par la présence de bandes d'absorption et par un noircissement important dû à l'interaction du matériau avec le graphite. Ces deux problématiques ont été résolues en combinant frittage naturel et compaction isostatique à chaud. La transmission des céramiques obtenues par ce procédé atteint à 13µm la transmission théorique de 68%. / This work focuses on the elaboration of CaLa₂S₄ transparent ceramics for IR optical applications in the MWIR and LWIR atmospheric windows. Various synthesis methods were explored for the elaboration of high purity cubic ceramic powders with adequate morphology for densification. As a result, we developed an innovative combustion method of this material. Different sintering techniques were investigated: Spark Plasma Sintering (SPS), Hot Pressing (HP) and Sintering in sulfurizing atmosphere (H₂S) combined to Hot Isostatic Pressing (HIP). Hot Pressing produces IR transparent ceramics. However, their optical properties are affected by the presence of absorption bands and significant blackening due to the interaction of the material with the graphite. These two issues have been solved by using sintering coupled to post-HIP. Transmission of the optics obtained by this process reaches the theoretical transmission of 68 % at 13μm.

Les packagings d’électronique embarquée sont actuellement en alliages d’aluminium. A partir d’une étude de sélection des matériaux, complétée par une simulation numérique thermique,nous avons démontré qu’un matériau composite constitué d’une matrice aluminium et de fibres de carbone à forte conductivité thermique, représente un fort potentiel de gain de masse sur ces équipements. Cependant, le couplage de ces deux matériaux génère des problèmes d’élaboration en raison d’incompatibilités fortes parmi lesquelles un mouillage très faible du carbone par l’aluminium liquide et une réactivité chimique élevée qui conduit à la formation de carbures d’aluminium préjudiciables pour le matériau final. Deux voies d’élaboration distinctes ont été envisagées : Une voie liquide où l’utilisation d’un agent de mouillage (un sel fluoré) a permis d’obtenir la montée par capillarité du métal dans des mèches de fibres. Une voie solide basée sur une technique originale d’empilements de feuillets d’aluminium et de fibres de carbone avec le procédé de Spark Plasma Sintering (SPS). .La seconde technique s’est révélée prometteuse en permettant d’obtenir des échantillons multicouches sans porosités, un endommagement très limité des fibres et une architecture contrôlée.Notre étude a montré que la formation de carbures d’aluminium est limitée. De plus, une meilleure compréhension du SPS ou l’application d’un revêtement sur les fibres devraient permettre d’éviter la formation de ces carbures. Les tentatives de caractérisations mécanique et thermique effectuées sur ces échantillons donnent un premier aperçu de l’efficacité du renforcement de l’aluminium par les fibres de carbone. / Embedded electronic packagings are currently made of aluminum. A first study – basedupon a material selection method completed by numerical analysis – showed that a metal matrixcomposite made of aluminum and highly thermal conductive continuous carbon fibers represents ahigh potential upon weight savings for those equipments. Though, coupling these componentsrepresents numerous challenges due to their incompatibility such as a really low wetting of carbonliquidaluminum system and its unavoidable chemical reactivity that leads to the formation ofaluminum carbides that are harmful for the final material. Two manufacturing routes were considered: A liquid route using a wetting agent (fluorinated salts) led the metal to rise alongcarbon fibers by capillarity. A solid route based upon a novel technique of aluminum foils and carbon fibersstacking using the Spark Plasma Sintering (SPS) process.This second technique revealed to be very promising and allowed to obtain multilayer samples with noporosities, highly limited fiber damages and controlled composite architecture. Our study shows thataluminum carbides formation is limited. Moreover, a deeper comprehension of SPS process or thedeposit of fiber coatings would prevent this carbide formation. Attempts of mechanical and thermalcharacterization led upon such samples give a first overview of the efficiency of the aluminumreinforcement by carbon fibers.