Orientador: Cecilia A. C. Zavaglia / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica / Made available in DSpace on 2018-07-25T02:10:22Z (GMT). No. of bitstreams: 1 Fernandes_BeatrizLuci_D.pdf: 8612737 bytes, checksum: 5b82e95884b98b376d5146b5ea2586e9 (MD5) Previous issue date: 1999 / Resumo: Apesar dos 30 anos de história, engenheiros e pesquisadores continuam procurando soluções para problemas que persistem até os dias de hoje, em relação à resistência ao desgaste de superfícies articuladas e à fixação aos tecidos ósseos de implantes ortopédicos de quadril. Esses problemas estão interligados, desde que a formação de grandes partículas nas articulações é o principal fator responsável pela perda da prótese e a qualidade da fixação do implante determina a produção dessas partículas. O material das amostras, analisadas neste trabalho, foi um dos empregados atualmente em próteses totais de quadril não cimentadas, ou seja, liga Ti6Al-7Nb revestida de hidroxiapatita (HA), aplicada através da técnica de aspersão por plasma. O principal objetivo deste trabalho foi apresentar uma alternativa para a avaliação da resistência da interface, utilizando-se uma nova técnica, rápida e confiável. As informações contidas estão relacionadas à técnica de deposição de materiais em forma de pó através de aspersão por plasma; ao estudo da resistência à adesão da HA sobre a liga de titânio através de ensaio de nanorisco e à caracterização superficial das amostras por determinação da rugosidade superficial, difração de raio-X e imagens do Microscópio Eletrônico de Varredura / Abstract: In spite of 30 years of history, engineers and researchers in general, are still trying to find solutions for the problems related to wear resistance of sliding surfaces and related to biological attachment of hip prostheses. These two questions are connected since the debris released in the joints are the main factor for loosing the prostheses and the fixation quality determines the production of those debris. The samples analyzed on this work were made of materials presently applied on hip prostheses like Ti-6Al-7Nb alloy with hydroxyapatite coating applied by plasma spray method. The main purpose of this work was to present an alternative to analyze the adhesion strength between the HA and the Ti-6Al-7Nb alloy using a new technique, fast and reliable. The information presented are related to the plasma spray' s deposition technique using powdered materials, to the evaluation of the interface between the two materials through the nanoscratch test and to the surface characterization using a mechanical profiler (profilometer), an X-Ray Diffract meter and a Scanning Electron Microscope / Doutorado / Materiais e Processos de Fabricação / Doutor em Engenharia Mecânica

The coatings produced by an atmospheric plasma spray process (APSP) must be of uniform quality. However, the complexity of the process and the random introduction of noise variables such as fluctuations in the powder injection rate and the arc voltage make it difficult to control the coating quality that has been shown to depend upon mean values of powder particles' temperature and speed, collectively called mean particles' states (MPSs), just before they impact the substrate. Here we use a science-based methodology to develop an adaptive controller for achieving consistent MPSs. We first identify inputs into the APSP that significantly affect the MPSs, and then formulate a relationship between these two quantities. When the MPSs deviate from their desired values, the adaptive controller based on the model reference adaptive controller (MRAC) framework is shown to successfully adjust the input parameters to correct them. The performance of the controller is tested via numerical experiments using the software, LAVA-P, that has been shown to well simulate the APSP. The developed adaptive process controller is further refined by using sigma (σ) adaptive laws and including a low-pass filter that remove high-frequency oscillations in the output. The utility of the MRAC controller to achieve desired locations of NiCrAlY and zirconia powder particles for generating a 5-layered coating is demonstrated. In this case a pure NiCrAlY layer bonds to the substrate and a pure zirconia makes the coating top. The composition of the intermediate 3 layers is combination of the two powders of different mass fractions. By increasing the number of intermediate layers, one can achieve a continuous through-the-thickness variation of the coating composition and fabricate a functionally graded coating. / Doctor of Philosophy / Canned food sold in a grocery store have cans' interior surface coating with a polymer to increase the shelf life of the food. Similarly, many parts in an automobile have coatings to protect them from corrosion and possibly wear and tear. A process used to produce these coatings is rather complex and involves several variables. An undesired change these variables affects the coating quality. Automatically controlling a coating process is like a cruise control in a car. It should detect which variables have changed and either take appropriate corrective actions or shut down the process if it cannot be corrected or alert an operator to stop the process. In this work we have developed a controller to adaptively adjust the input parameters for an atmospheric plasma spray process (APSP) often used to produce thermal barrier coatings in gas turbines and blades of aircraft jet engines. These coatings hinder the flow of heat from the hot exhaust gases to the blades thereby prolonging their life span.

Optimization is a decision making process to solve problems in a number of fields including engineering mechanics. Bio-inspired optimization algorithms, including genetic algorithm (GA), have been studied for many years. There is a large literature on applying the GA to mechanics problems. However, disadvantages of the GA include the high computational cost and the inability to get the global optimal solution that can be found by using a honeybee-inspired optimization algorithm, called the New Nest-Site Selection (NeSS). We use the NeSS to find optimal parameters for three mechanics problems by following the three processes: screening, identifying relationships, and optimization. The screening process identifies significant parameters from a set of input parameters of interest. Then, relationships between the significant input parameters and responses are established. Finally, the optimization process searches for an optimal solution to achieve objectives of a problem. For the first two problems, we use the NeSS algorithm in conjunction with a third order shear and normal deformable plate theory (TSNDT), the finite element method (FEM), a one-step stress recovery scheme (SRS) and the Tsai-Wu failure criterion to find the stacking sequence of composite laminates and the topology and materials for doubly curved sandwich shells to maximize the first failure load. It is followed by the progressive failure analysis to determine the ultimate failure load. For the sandwich shell, we use the maximum transverse shear stress criterion for delineating failure of the core, and also study simultaneously maximizing the first failure load and minimizing the mass subject to certain constraints. For composite laminates, it is found that the first failure load for an optimally designed stacking sequence exceeds that for the typical [0°/90°]₅ laminate by about 36%. Moreover, the design for the optimal first failure load need not have the maximum ultimate load. For clamped laminates and sandwich shells, the ultimate load is about 50% higher than the first failure load. However, for simply supported edges the ultimate load is generally only about 10% higher than the first failure load. For the atmospheric spray process, we employ the NeSS algorithm to find optimal values of four process input parameters, namely the argon flow rate, the hydrogen flow rate, the powder feed rate and the current, that result in the desired mean particle temperature and the mean particle velocity when they reach the substrate. These optimal values give the desired mean particle temperature and the mean particle velocity within 5% of their target values. / Ph. D.