10 resultados para Real structure

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Työn tavoitteena oli selvittää kaupallisen dynamiikansimulointiohjelmiston soveltuvuus roottoridynamiikan analysointiin. Työssä keskityttiin erityisesti roottorin dynamiikkaan vaikuttavien epäideaalisuuksien mallintamiseen. Simulointitulosten tarkkuutta selvitettiin mittauksilla. Lisäksi vertailtiin yleiskäyttöisen dynamiikan simulointiohjelmiston ja roottoridynamiikan erikoisohjelmiston teoriaa. Tutkittava roottori oli paperikoneen putkitela. Telan joustavuus kuvattiin elementtimenetelmällä ratkaistujen moodien avulla. Elementtimallissa huomioitiin telan vaipan seinämänpaksuusvaihtelu, joka vaikuttaa telan massa- ja jäykkyysjakaumaan. Dynamiikkaohjelmistossa mallinnettiin telan tuennasta tulevat herätteet. Dynamiikkaohjelmistona käytettiin ADAMS:ia ja FEM-ohjelmana ANSYS:stä. Tuloksista havaittiin käytetyn menetelmän soveltuvan roottoridynamiikan analysointiin ja roottorin epäideaalisuuksien mallintamiseen. Simulointimallilla saatiin esille murtolukukriittiset pyörimisnopeudet ja telan kriittinen pyörimisnopeus vastasi hyvin mittaustuloksia.

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Multibody simulation model of the roller test rig is presented in this work. The roller test rig consists of a paper machine’s tube roll supported with a hard bearing type balancing machine. The simulation model includes non-idealities that are measured from the physical structure. These non-idealities are the shell thickness variation of the roll and roundness errors of the shafts of the roll. These kinds of non-idealities are harmful since they can cause subharmonic resonances of the rotor system. In this case, the natural vibration mode of the rotor is excited when the rotation speed is a fraction of the natural frequency of the system. With the simulation model, the half critical resonance is studied in detail and a sensitivity analysis is performed by simulating several analyses with slightly different input parameters. The model is verified by comparing the simulation results with those obtained by measuring the real structure. Comparison shows that good accuracy is achieved, since equivalent responses are achieved within the error limit of the input parameters.

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Tässä työssä tutkittiin kuinka eri tavoin rakenteen mallintaminen vaikuttaa laskettuun väsy-misikään. Työssä tutkittavana rakenteena toimi Sandvik Mining and Construction OY:n las-tauskoneen nostovarsi. Nostovarrelle väsytyskokeet suoritettiin Lappeenrannan teknillisen yliopiston teräsrakenteiden laboratoriossa. Työn tavoitteena oli tutkia miten eri digitaalinen valmistuksen tasot vaikuttavat hitsatulle rakenteelle saatuun kestoikään. Työssä tutkittiin myös miten todellista geometriaa voidaan hyödyntää rakenteen kestoiän arvioinnissa. Väsytyskoejärjestely mallinnettiin FE-menetelmällä, ja järjestelystä tehtiin useita malleja käyttäen solidi- ja laattaelementtejä. Malleista laskettiin väsymisiät hot spot- ja tehollisen lovijännityksen menetelmällä, ja saatuja tuloksia vertailtiin toisiinsa ja väsytyskokeen tulok-siin. Väsytyskokeessa vaurioituneista kohdista tarkemman tutkimuksen kohteena oli nosto-varren palstalevyn kärki. Hot spot-menetelmällä saadut kestoiät vaihtelivat paikoin melko paljon eri mallien välillä. Tehollisen lovijännityksen menetelmällä saaduissa tuloksissa erot olivat pienempiä mallien välillä. FE-mallin ja venymäliuskojen jännitykset poikkesivat toisistaan paikoin melko pal-jon. Todellisen hitsatun rakenteen kestoikään vaikuttaa moni asia, ja täten FE-menetelmällä las-kettu kestoikä voi poiketa huomattavasti todellisesta kestoiästä. Varsinkin hot spot-menetel-mällä tulokset voivat poiketa hyvinkin paljon todellisuudesta, mikäli jännitystila tutkitta-vassa kohdassa on moniaksiaalinen. Todellisen geometrian mallintaminen vaatii tarkkuutta, ja alkuperäisdatan tulee olla mahdollisimman tarkkaa ja riittävän suurelta alueelta, jotta malli vastaa tarpeeksi todellista.

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Työn tavoitteena oli selvittää kaupallisen dynamiikansimulointiohjelmiston so-veltuvuus roottoridynamiikan analysointiin. Työssä keskityttiin erityisesti rootto-rin dynamiikkaan vaikuttavien epäideaalisuuksien mallintamiseen. Simulointitu-losten tarkkuutta selvitettiin mittauksilla. Lisäksi vertailtiin yleiskäyttöisen dyna-miikan simulointiohjelmiston ja roottoridynamiikan erikoisohjelmiston teoriaa. Tutkittava roottori oli paperikoneen putkitela. Telan joustavuus kuvattiin ele-menttimenetelmällä ratkaistujen moodien avulla. Elementtimallissa huomioitiin telan vaipan seinämänpaksuusvaihtelu, joka vaikuttaa telan massa- ja jäykkyysja-kaumaan. Dynamiikkaohjelmistossa mallinnettiin telan tuennasta tulevat herätteet. Dynamiikkaohjelmistona käytettiin ADAMS:ia ja FEM-ohjelmana ANSYS:stä. Tuloksista havaittiin käytetyn menetelmän soveltuvan roottoridynamiikan ana-lysointiin ja roottorin epäideaalisuuksien mallintamiseen. Simulointimallilla saa-tiin esille murtolukukriittiset pyörimisnopeudet ja telan kriittinen pyörimisnopeus vastasi hyvin mittaustuloksia.

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Tämän diplomityön tavoitteena on selvittää Venäjän ruoan vähittäiskaupan rakenne ja sen tuleva kehitys. Tällä hetkellä se on yksi maailman nopeimmin kasvavista markkinoista. Kasvun syynä on korkea öljyn hinta, jokaon kumuloitunut ihmisten palkkoihin. Kuitenkin vaikka tulot kasvavat, ruokaan käytetty osuus tuloista on pysynyt suhteellisen vakaana. Kulutus on siis siirtymässä laadukkaampiin ja arvokkaampiin tuotteisiin Modernien kauppojen osuus markkinoista on vielä pieni, koska Venäjän vähittäiskauppasektori on yhä hajaantunut perinteisiin kauppaformaatteihin kuten kioskeihin, toreille ja pieniin ruokakauppoihin. Kauppaketjut ovat kuitenkin tulossa merkittävämmiksi. Suurin markkina-alue vähittäiskauppiaille on Moskova, mutta tällä hetkellä ketjut laajentavat toimintojaan nopeasti myös muille Venäjän alueille. Parhaat kasvunäkymät ovat alueilla, vaikka Moskovan markkinat eivät olekaan kyllästyneet. Tärkein kasvua rajoittava tekijä Moskovassa on rakennustonttien ja kiinteistöjen saatavuus. Vähittäiskauppamarkkinat lähestyvät kyllästymispistettä, josta seuraa markkinoiden konsolidaatio. Tämä prosessi on jo alkanut, mutta kovin paljon yritysostoja ei ole vielätehty. Toistaiseksi kauppaketjut ovat tyytyneet muodostamaan alliansseja. Ketjut pyrkivät parantamaan asemaansa hintaneuvotteluissa muodostamalla osto-alliansseja, luomalla omia brändejä ja käyttämällä alueellista laajentumista lyömäaseena. Jotta ruoan tuottaja pääsisi myös alueellisille markkinoille, on sen ehkä suostuttava myymään tuotteitaan edullisempaan hintaan. Tavarantoimittajat ovat vahvassa asemassa silloin, kun heillä on toimiva jakeluverkko, kyky JIT-toimituksiin,kunnollinen dokumentaatiokäytäntö, vahva brändi ja edullinen hinta. Ns. listausmaksun suuruus voi määrittää tuottajan tuotteilleen saaman hyllytilan koon.

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Leadership is essential for the effectiveness of the teams and organizations they are part of. The challenges facing organizations today require an exhaustive review of the strategic role of leadership. In this context, it is necessary to explore new types of leadership capable of providing an effective response to new needs. The presentday situations, characterized by complexity and ambiguity, make it difficult for an external leader to perform all leadership functions successfully. Likewise, knowledge-based work requires providing professional groups with sufficient autonomy to perform leadership functions. This study focuses on shared leadership in the team context. Shared leadership is seen as an emergent team property resulting from the distribution of leadership influence across multiple team members. Shared leadership entails sharing power and influence broadly among the team members rather than centralizing it in the hands of a single individual who acts in the clear role of a leader. By identifying the team itself as a key source of influence, this study points to the relational nature of leadership as a social construct where leadership is seen as social process of relating processes that are co-constructed by several team members. Based on recent theoretical developments concerned with relational, practice-based and constructionist approaches to the study of leadership processes, this thesis proposes the study of leadership interactions, working processes and practices to focus on the construction of direction, alignment and commitment. During the research process, critical events, activities, working processes and practices of a case team have been examined and analyzed with the grounded theory –approach in the terms of shared leadership. There are a variety of components to this complex process and a multitude of factors that may influence the development of shared leadership. The study suggests that the development process of shared leadership is a common sense -making process and consists of four overlapping dimensions (individual, social, structural, and developmental) to work with as a team. For shared leadership to emerge, the members of the team must offer leadership services, and the team as a whole must be willing to rely on leadership by multiple team members. For these individual and collective behaviors to occur, the team members must believe that offering influence to and accepting it from fellow team members are welcome and constructive actions. Leadership emerges when people with differing world views use dialogue and collaborative learning to create spaces where a shared common purpose can be achieved while a diversity of perspectives is preserved and valued. This study also suggests that this process can be supported by different kinds of meaning-making and process tools. Leadership, then, does not reside in a person or in a role, but in the social system. The built framework integrates the different dimensions of shared leadership and describes their relationships. This way, the findings of this study can be seen as a contribution to the understanding of what constitutes essential aspects of shared leadership in the team context that can be of theoretical value in terms of advancing the adoption and development process of shared leadership. In the real world, teams and organizations can create conditions to foster and facilitate the process. We should encourage leaders and team members to approach leadership as a collective effort that the team can be prepared for, so that the response is rapid and efficient.

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In this work, image based estimation methods, also known as direct methods, are studied which avoid feature extraction and matching completely. Cost functions use raw pixels as measurements and the goal is to produce precise 3D pose and structure estimates. The cost functions presented minimize the sensor error, because measurements are not transformed or modified. In photometric camera pose estimation, 3D rotation and translation parameters are estimated by minimizing a sequence of image based cost functions, which are non-linear due to perspective projection and lens distortion. In image based structure refinement, on the other hand, 3D structure is refined using a number of additional views and an image based cost metric. Image based estimation methods are particularly useful in conditions where the Lambertian assumption holds, and the 3D points have constant color despite viewing angle. The goal is to improve image based estimation methods, and to produce computationally efficient methods which can be accomodated into real-time applications. The developed image-based 3D pose and structure estimation methods are finally demonstrated in practise in indoor 3D reconstruction use, and in a live augmented reality application.

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The thesis work models the squeezing of the tube and computes the fluid motion of a peristaltic pump. The simulations have been conducted by using COMSOL Multiphysics FSI module. The model is setup in axis symmetric with several simulation cases to have a clear understanding of the results. The model captures total displacement of the tube, velocity magnitude, and average pressure fluctuation of the fluid motion. A clear understanding and review of many mathematical and physical concepts are also discussed with their applications in real field. In order to solve the problems and work around the resource constraints, a thorough understanding of mass balance and momentum equations, finite element concepts, arbitrary Lagrangian-Eulerian method, one-way coupling method, two-way coupling method, and COMSOL Multiphysics simulation setup are understood and briefly narrated.

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This dissertation describes an approach for developing a real-time simulation for working mobile vehicles based on multibody modeling. The use of multibody modeling allows comprehensive description of the constrained motion of the mechanical systems involved and permits real-time solving of the equations of motion. By carefully selecting the multibody formulation method to be used, it is possible to increase the accuracy of the multibody model while at the same time solving equations of motion in real-time. In this study, a multibody procedure based on semi-recursive and augmented Lagrangian methods for real-time dynamic simulation application is studied in detail. In the semirecursive approach, a velocity transformation matrix is introduced to describe the dependent coordinates into relative (joint) coordinates, which reduces the size of the generalized coordinates. The augmented Lagrangian method is based on usage of global coordinates and, in that method, constraints are accounted using an iterative process. A multibody system can be modelled as either rigid or flexible bodies. When using flexible bodies, the system can be described using a floating frame of reference formulation. In this method, the deformation mode needed can be obtained from the finite element model. As the finite element model typically involves large number of degrees of freedom, reduced number of deformation modes can be obtained by employing model order reduction method such as Guyan reduction, Craig-Bampton method and Krylov subspace as shown in this study The constrained motion of the working mobile vehicles is actuated by the force from the hydraulic actuator. In this study, the hydraulic system is modeled using lumped fluid theory, in which the hydraulic circuit is divided into volumes. In this approach, the pressure wave propagation in the hoses and pipes is neglected. The contact modeling is divided into two stages: contact detection and contact response. Contact detection determines when and where the contact occurs, and contact response provides the force acting at the collision point. The friction between tire and ground is modelled using the LuGre friction model, which describes the frictional force between two surfaces. Typically, the equations of motion are solved in the full matrices format, where the sparsity of the matrices is not considered. Increasing the number of bodies and constraint equations leads to the system matrices becoming large and sparse in structure. To increase the computational efficiency, a technique for solution of sparse matrices is proposed in this dissertation and its implementation demonstrated. To assess the computing efficiency, augmented Lagrangian and semi-recursive methods are implemented employing a sparse matrix technique. From the numerical example, the results show that the proposed approach is applicable and produced appropriate results within the real-time period.

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Abstract The ultimate problem considered in this thesis is modeling a high-dimensional joint distribution over a set of discrete variables. For this purpose, we consider classes of context-specific graphical models and the main emphasis is on learning the structure of such models from data. Traditional graphical models compactly represent a joint distribution through a factorization justi ed by statements of conditional independence which are encoded by a graph structure. Context-speci c independence is a natural generalization of conditional independence that only holds in a certain context, speci ed by the conditioning variables. We introduce context-speci c generalizations of both Bayesian networks and Markov networks by including statements of context-specific independence which can be encoded as a part of the model structures. For the purpose of learning context-speci c model structures from data, we derive score functions, based on results from Bayesian statistics, by which the plausibility of a structure is assessed. To identify high-scoring structures, we construct stochastic and deterministic search algorithms designed to exploit the structural decomposition of our score functions. Numerical experiments on synthetic and real-world data show that the increased exibility of context-specific structures can more accurately emulate the dependence structure among the variables and thereby improve the predictive accuracy of the models.