A Tomografia de Impedância Elétrica é uma técnica de obtenção de imagens do interior de um corpo, mediante grandezas elétricas medidas em sua superfície. Matematicamente, a técnica determina as distribuições de condutividades e permissividades elétricas num dado modelo do corpo, as quais reproduzem as medidas de correntes e potenciais elétricos em eletrodos fixados ao corpo. Nesse caso, as distribuições de condutividades e permissividades representam a solução de um problema não-linear e mal-posto, o qual é instável e apresenta mínimos locais, requerendo técnicas de inversão específicas. Um sistema de Tomografia de Impedância Elétrica aplicado à obtenção de imagens de valores absolutos possui, atualmente, limitações. São algumas delas a obtenção de distribuições de propriedades suaves e de valores geralmente subestimados, a sensibilidade elevada ao erro de posicionamento dos eletrodos (com relação ao modelo) e ao erro nos valores de parâmetros de contato, a sensibilidade elevada aos ruídos de medição, os tempos elevados de processamento, dentre outros. Com o intuito de abordar as limitações, melhorando o desempenho do sistema de Tomografia de Impedância Elétrica de imagens absolutas, são então propostas e avaliadas ferramentas baseadas no Método de Otimização Topológica no atual trabalho. Mais especificamente, avaliam-se: 1) um método para obtenção de parâmetros de contato em conjunto com uma imagem e um método de regularização baseado no controle explícito da variação espacial da imagem, 2) uma formulação para acomodação de incertezas, 3) uma formulação para correção do posicionamento de eletrodos, 4) uma formulação para projeto de eletrodos e 5) um novo solucionador de sistemas lineares de larga escala. Os resultados mostram a efetividade da maioria das técnicas propostas, e sugerem os novos tópicos de pesquisa em Tomografia de Impedância Elétrica. / Electrical Impedance Tomography images the interior of a body based on electrical quantities measured on the surface of it. Mathematically, the technique finds the electric admittivity distribution in a given body model which reproduces the boundary measurements of electric currents and potentials on electrodes attached to that body. Therefore, the admittivity distribution is the solution of a non-linear and ill-posed problem, which is unstable and have local minima, requiring specific inversion techniques. Electrical Impedance Tomography systems which obtain images corresponding to absolute values present limitations. For instance, the results are usually smooth and underestimated, the sensitivity to errors in the positioning of electrodes and wrong values of contact parameters and the sensitivity to measurement noise are high, the data processing time is high, etc. In this work, techniques based on the Topology Optimization Method intended for improving the performance of the particular Electrical Impedance Tomography system applied to absolute images are proposed and evaluated. More specifically, the following techniques are evaluated: 1) a method intended to obtain contact parameters together with images, and a regularization method based on the explicit control of the spatial variation regarding the image, 2) a formulation applied to handle uncertainties, 3) a formulation applied to correct the position of electrodes, 4) a formulation applied to design electrodes, 5) and a new solver for large-scale linear systems. Results show the effectiveness of most of the proposed techniques, and suggest new research topics in Electrical Impedance Tomography.

<div>Topology Optimization is an optimization technique used to synthesize models without any preconceived shape. These structures are synthesized keeping in mind the minimum compliance problems. With the rapid improvement in advanced manufacturing technology and increased need for lightweight high strength designs topology optimization is being used more than ever.</div><div>There exist a number of commercially available software's that can be used for optimizing a product. These software have a robust Finite Element Solver and can produce good results. However, these software offers little to no choice to the user when it comes to selecting the type of optimization method used.</div><div>It is possible to use a programming language like MATLAB to develop algorithms that use a specific type of optimization method but the user himself will be responsible for writing the FEA algorithms too. This leads to a situation where the flexibility over the optimization method is achieved but the robust FEA of the commercial FEA tool is lost.</div><div>There have been works done in the past that links ABAQUS with MATLAB but they are primarily used as a tool for finite element post-processing. Through this thesis, the aim is to develop an interface that can be used for solving optimization problems using different methods like hard-kill as well as the material penalization (SIMP) method. By doing so it's possible to harness the potential of a commercial FEA software and gives the user the requires flexibility to write or modify the codes to have an optimization method of his or her choice. Also, by implementing this interface, it can also be potentially used to unlock the capabilities of other Dassault Systèmes software's as the firm is implementing a tighter integration between all its products using the 3DExperience platform.</div><div>This thesis as described uses this interface to implement BESO and HCA based topology optimization. Since hybrid cellular atomata is the only other method other than equivalent static load method that can be used for crashworthiness optimization this work suits well for the role when extended into a non-linear region.</div>

This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. Effective properties are obtained through homogenization, where microscopic properties are upscaled to macroscopic ones. The symmetry group of a unit-cell's elasticity tensor can be utilized for stiffness directional tunability, i.e., to tune the cell's performance in different load directions.  A few geometrical variations of a chosen unit-cell were homogenized to build an effective anisotropic elastic material model by obtaining their effective elasticity. The symmetry group and the stiffness directionality of the cells’ effective elasticity tensors were identified. This was done using both the pattern of the matrix representation of the effective elasticity tensor and the roots of the monoclinic distance function. A cell library of symmetry-preserving variations with a corresponding material property space was created, displaying the achievable properties within the library. Two ML models were implemented to map material properties to appropriate cells. A TO algorithm was also implemented to produce an optimal material distribution within a design domain of a pressure vessel in 2D to maximize stiffness. However, the TO algorithm to obtain desired material properties for each element in the domain was not realized within the time frame of this thesis.  The cells were successfully homogenized. The effective elasticity tensor of the chosen cell was found to belong to the cubic symmetry group in its natural coordinate system. The results suggest that the symmetry group of an elasticity tensor retrieved through numerical experiments can be identified using the monoclinic distance function. If near-zero minima are present, they can be utilized to find the natural coordinate system. The cubic symmetry allowed the cell library's material property space to be spanned by only three elastic constants, derived from the elasticity matrix. The orthotropic symmetry group can enable a greater directional tunability and design flexibility than the cubic one. However, materials exhibiting cubic symmetry can be described by fewer material properties, limiting the property space, which could make the multi-scale TO less complex. The ML models successfully predicted the cell parameters for given elastic constants with satisfactory results. The TO algorithm was successfully implemented. Two different boundary condition cases were used – fixing the domain’s corner nodes and fixing the middle element’s nodes. The latter was found to produce more sensible results. The formation of a cylindrical outer shape could be distinguished in the produced material design, which was deemed reasonable since cylindrical pressure vessels are consistent with engineering practice due to their inherent ability to evenly distribute load. The TO algorithm must be extended to include the elastic constants as design variables to enable the multi-scale TO.

Thesis (MEng)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: We investigate the simultaneous analysis and design (SAND) formulation of the topology optimisation problem. The characteristics of the formulation are presented considering the simple compliance/weight constrained problem and the more complex local stress constrained case. The problems are solved in an efficient sparse sequential approximate optimisation (SAO) framework with the SAND formulation showing an significant reduction in computational requirements compared to the traditional and inherently expensive nested analysis and design (NAND) approach. In SAND the state equations are included in the optimisation problem as a set of equality constraints and not solved exactly in each iteration, as would be the case in NAND. Decision and state variables are thus independent, resulting in an immensely sparse optimisation problem. The availability of simple exact analytic expressions for all the constraint functions (via the finite element method) allows for the construction of accurate approximate subproblems with little computational effort. Furthermore, material can be removed completely from the design domain with few complications, resulting in a decrease in subproblem size as the algorithm progresses, further reducing computation time. The inclusion of void material in the design domain leads to the formulation of stress constraints as so-called ‘vanishing’ constraints. Furthermore, the SAND formulation provides a new perspective on the infamous singularity problem. Amongst other results, we present some test cases that seem to scale linearly in computational requirements for a specific range of problem sizes. / AFRIKAANSE OPSOMMING: Die formulering van die topologie optimerings probleem as ’n gelyktydige analise en ontwerp (simultaneous analysis and design (SAND)) formulering word ondersoek. Die eienskappe van die formulering word bespreek in die konteks van die eenvoudig begrensde styfheid/gewig geval en die meer komplekse plaaslike spanning begrensde geval. Die probleme word opgelos in ’n sekwenti¨ele benaderde optimering (SBO; sequential approximate optimisation (SAO)) raamwerk met die SAND formulering, wat lei tot ’n wesenlike vermindering in berekenings vereistes benodig in vergelyking met die tradisionele en inherente duur geneste analise en ontwerp (nested analysis and design (NAND)) geval. In SAND word die vergelykings wat die respons van die struktuur beskryf met gelykheidsbegrensings in die optimerings probleem verteenwoordig. Die respons van die struktuur word dus nie presies opgelos in elke iterasie nie, soos in die geval van NAND wel gebeur. Alle optimerings veranderlikes is dus onafhanklik en lei tot ’n baie yl optimerings probleem. Deur middel van die eindige element metode is die analitiese vorm van alle begrensings beskikbaar en kan dit gebruik word om akkurate benaderde subprobleme op te stel sonder ekstra berekenings koste. Verder kan materiaal heeltemal verwyder uit van die ontwerpsgebied met weinig komplikasies. Dit lei tot ’n verkleining van subprobleme soos die algoritme vordering maak wat berekenings tyd nog meer verminder. Die feit dat materiaal heeltemal verwyder kan word van die ontwerp gebied lei tot die formulering van spannings begrensings as sogenaamde ‘verdwynende’ begrensings. Verder gee die SAND formulering ’n nuwe uitsig op die bekende singulariteitsprobleem. Met verskeie ander resultate word daar ook gewys dat dit voorkom of ’n spesifieke stel toetsprobleme lineˆer skaal in berekenings tyd.

In der fleischverarbeitenden Industrie gibt es eine Vielzahl von Schneidwerkzeugen. Kuttermesser stehen hierbei in der Prozesskette weit hinten und haben einen direkten Einfluss auf die Qualität des Endprodukts. Der Prozess des Kutterns ist bislang nicht komplett analytisch geklärt. Während des Vorgangs durchläuft das Schneidgut (i.A. das Fleisch bzw. das Brät) wechselnde Aggregatzustände von fester (leicht gefrorener) Form hin zum zähviskosen Zustand. Weiterhin ist es permanentem korrosiven Kontakt ausgesetzt. Die Komplexität macht eine analytische Herangehensweise äußerst aufwendig, sodass sich mittels der FEM durch numerisches Vorgehen und Lastannahmen aus Untersuchungen diesem Problem gewidmet wird. Dabei sind bislang nicht bekannte Potentiale zu erkennen. Hierbei wurden verschiedene Vernetzungsstrategien (p- und h-Methode) der FEM angewandt und verglichen. Es sind dabei Materialreduktionen bis knapp 30% ersichtlich.

This presentation is intended to inform about the enhancements of Creo Simulate and the Roadmap for the future.

This master thesis has been executed at Scania CV AB in Södertälje, Sweden. Scania is a manufacturer of heavy transport solutions, an industry which is changing rapidly in order to meet stricter regulations, ensuring a sustainable future. Continuous product improvements and new technologies are required to increase performance and to meet markets requirements. By implementing design optimization in the design process it enables the potential of supporting design exploration, which is beneficial when products with high performance are developed. The purpose was to show the potential of design optimization supported by simulation driven design as a tool in the development process. To examine an alternative way of working for design engineers, elaborating more competitive products in terms of economical and performance aspects. Furthermore, to minimize time and iterations between divisions by developing better initial concept proposals. The alternative working method was developed iteratively in parallel with a case study. The case study was a suction strainer and were used for method improvements and validation, as well as decision basis for the included sub-steps. The working method for implementing design optimization and simulation driven design ended up with a procedure consisted of three main phases, concept generation, detail design and verification. In the concept generation phase topology optimization was used, which turned out to be a beneficial method to find optimized solutions with few inputs. The detail design phase consisted of a parameterized CAD model of the concept which then was shape optimized. The shape optimization enabled design exploration of the concept which generated valuable findings to the product development. Lastly the optimized design was verified with more thorough methods, in this case verification with FE-experts. The working method was tested and verified on the case study component, this resulted in valuable knowledge for future designs for similar components. The optimized component resulted in a performance increase where the weight was decrease by 54% compared with a reference product.

A otimização topológica de estruturas está relacionada à concepção de projetos que executem suas funções com nível de segurança adequado empregando a quantidade mínima de material. Neste trabalho, determina-se a geometria ótima de estruturas planas por meio do acoplamento do Método dos Elementos de Contorno (MEC) ao Método Level Set (MLS). O algoritmo é composto por 3 etapas: problema mecânico, otimização topológica e reconstrução da estrutura. O problema mecânico é resolvido pelas equações algébricas do MEC. A otimização topológica é determinada pelo MLS, este representa a geometria do corpo e suas evoluções por meio da função Level Set (LS) avaliada em seu nível zero. Na reconstrução realiza-se o remalhamento, pois a cada iteração a estrutura é modificada. O acoplamento proposto resulta na geometria ótima da estrutura sem a necessidade da aplicação de filtros. Os exemplos analisados mostram que algoritmo desenvolvido capta adequadamente a geometria ótima das estruturas. Com esse trabalho, avança-se no campo das aplicações do acoplamento MEC-MLS e no desenvolvimento de soluções inovadoras para problemas complexos de engenharia. / In general, the topological optimization of structures is related to design projects that perform their functions with appropriate security levels using the minimum amount of material. This research determines the optimal geometry of 2D structures by coupling the Boundary Blement Method (BEM) to Level Set Method (LSM). The algorithm consists of 3 steps: mechanical model, topology optimization and structure reconstruction. The mechanical model is solved by BEM algebraic equations. The topology optimization is determined using the MLS, the geometry of the body is determined by the Level Set (LS) function evaluated at the zero level. The reconstruction achieves the remeshing, because for each iteration of the structure is modified. The proposed coupling results in the optimal geometry of the structure without the filters application. The examples show that the algorithm developed captures adequately the optimal geometry of the structures. With this dissertation, it is possible advance in the field of applications of the BEM - LSM and develop innovative solutions to complex engineering problems.

Um micromecanismo é, essencialmente, um dispositivo de dimensões milimétricas ou até micrométricas que executa uma tarefa específica como atuar como garra, pinça, grampo, etc. Quando acoplados a um sistema eletrônico, são chamados de sistemas microeletromecânicos ou \"Micro-Electro-Mechanical Systems\" (MEMS). Esses dispositivos são quase todos constituídos por mecanismos flexíveis, onde o movimento é dado pela flexibilidade de sua estrutura, sem juntas e pinos. Uma das formas de atuação de micromecanismos é a eletrotermomecânica, onde uma atuação elétrica sobre o próprio mecanismo é convertida em calor, por efeito Joule, que gera tensões térmicas responsáveis pela deformação estrutural desejada. Recentemente, vários grupos de pesquisa no mundo estão desenvolvendo micromecanismos fabricados com dois (ou até mais) materiais, o que permite obter maiores deformações sem que seja excedido o limite de resistência do material e mais flexibilidade no projeto de micromecanismos que realizem diferentes tarefas quando sujeito a diversas atuações (multiflexíveis). As técnicas de processo de fabricação de micromecanismos atingiram um alto nível de maturidade. No entanto, a modelagem e, em particular, o desenvolvimento de métodos computacionais sistemáticos para o projeto estão ainda no seu estágio inicial. Atualmente, o projeto de micromecanismos com vários materiais vem sendo realizado por métodos de tentativa e erro, dependendo da intuição e experiência do projetista. Além disso, o projeto genérico de um MEMS eletrotermomecânico é uma tarefa complexa, que leva em conta conhecimentos multidisciplinares. Dessa forma, o objetivo desse trabalho de mestrado foi desenvolver um software para o projeto de MEMS multifásicos, atuados eletrotermicamente, usando um método de projeto genérico e sistemático, como o Método de Otimização Topológica (MOT). Utilizando um modelo de interpolação de material de função de pico, qualquer número de materiais pode ser considerado sem que haja aumento na quantidade de variáveis de projeto se comparado à otimização com apenas um material e vazio. Visando maximizar o deslocamento de saída contra uma peça de rigidez conhecida, foram projetados mecanismos atuados por tensão elétrica, alguns considerando multiflexibilidade. Um estudo da influência dos parâmetros da otimização foi realizado. Como uma alternativa à atuação eletrotermomecânica, foram projetados mecanismos atuados por fluxo de calor. / A micromechanism is essentially a device of milimetric, or even micrometric, dimensions that can actuate as a gripper, tweezers, clamp, etc. When coupled to an electronic system, they are called \"Micro-Electro-Mechanical Systems\" (MEMS). Almost all of these devices are constituted by compliant mechanisms, where the motion is allowed by the compliance of its own structure, rather than the presence of joint and pins. One of the forms of micromechanisms actuation is the electrothermomechanical, where an electric actuation applied to the mechanism is converted in heat, by Joule effect, that generates the thermal stress responsible for the desired structural deformation. Recently, many research groups around the world are developing micromechanisms manufactured with two (or even more) materials, what allows larger displacements without exceeding the materials ultimate tensile strength, and gives more flexibility in the design of micromechanisms that accomplish different tasks when under different actuations (multiflexible mechanisms). The manufacturing process techniques of micromechanisms reached a high level of maturity, however, the modelling and, particularly, the development of systematic computational methods for design are still in early stages. Nowadays, micromechanism design with many materials is being carried on by \"try and error\" methods, depending on designer intuition and experience. Also, a generic design of an electrothermomechanical MEMS is a complex task that needs multidisciplinary knowledge. Thus, the objective of this work is to develop a software for the design of multi-phase MEMS, electrothermomechanically actuated, using a method for systematic and generic design, such as Topology Optimization Method (TOM). Using a peak function material interpolation model, any number of materials can be considered without increasing the amount of design variables if compared to an optimization with only one material and void. Mechanisms actuated by electric tension were designed considering the maximization of output displacement against a work piece with known stiffness. The design of microactuators considering multiflexibility was also performed. A study of optimization parameters influence is presented. As an alternative to electrothermomechanical actuation, some mechanisms actuated by heat flow were designed.

Estruturas que estão sujeitas a altas temperaturas absolutas, à convecção natural, ou ainda, estruturas que trocam calor na ausência de um meio físico, apresentam relevante transferência de calor por radiação térmica. Este fenômeno é importante para diversas aplicações e processos, como, por exemplo, no funcionamento de coletores solares, satélites, fornos industriais, motores a combustão e usinas nucleares. O presente trabalho de mestrado apresenta a aplicação do método da otimização topológica (MOT) no projeto de estruturas que trocam calor substancialmente por radiação térmica no interior de confinamentos, através da distribuição de material refletor ou de aquecedores. Por meio do MOT, cuja principal característica é a liberdade de distribuição do material dentro de um domínio inicial, é possível adicionar ou remover material de uma determinada região do domínio, criando ou desfazendo fronteiras, de forma livre, visando à obtenção de um projeto otimizado. O algoritmo de otimização é baseado no Método das Assíntotas Móveis (MMA) e é complementado pelo Método dos Elementos Finitos (MEF), para a análise do fenômeno de radiação em confinamentos. Ambos são implementados através do software Matlab. Os casos considerados são o da distribuição de material refletor de radiação térmica ou de aquecedores, sujeitos a uma eventual restrição nas quantidades destes materiais, sobre uma superfície plana, de forma a extremizar-se a irradiação ou a minimizar-se a temperatura em determinada área específica do domínio de projeto. Este problema depende, dentre outros fatores, da geometria da superfície e dos ângulos dos raios incidentes sobre ela. / Structures subjected to high absolute temperatures or to natural convection, as well structures that exchange heat in the absence of a physical medium present significant heat transfer through thermal radiation. This phenomenon is important for several applications and processes, such as in the operation of solar collectors, satellites, industrial furnaces, combustion engines and nuclear plants. The present work shows the application of topology optimization to the design of structures that exchange heat substantially by thermal radiation within an enclosure, through the distribution of reflective material or heaters. However, the design of such radiant enclosures is not trivial and it is necessary to use robust and systematic design tools, such as optimization techniques. Topology optimization is a numerical method which allows finding the layout, or topology, of a structure such that a prescribed objective is maximized or minimized subjected to design constraints. The optimization algorithm, based on the method of moving asymptotes (MMA), and the finite element method for analysis of the phenomenon of radiation in enclosures, are implemented using $Matlab^\\circledR$. The cases considered are the distribution of thermal radiation reflective material or heaters, subjected to a volume fraction constraint of these materials on a flat surface, in order to extremize the irradiation or to minimize the temperature in a specified region of the design domain. This problem depends, among other factors, on the geometry of the surfaces that exchange heat through thermal radiation.