923 resultados para Scansione 3D, Additive Manufacturing, reverse engineering
Resumo:
O tema desta dissertação de mestrado é o estudo da Engenharia Reversa como ferramenta de suporte à melhoria e adaptação de produtos. A partir de conceitos teóricos sobre desenvolvimento de produtos e melhoria de processos, propõe-se uma metodologia para adaptação de produtos destinados à exportação. A metodologia proposta consiste de oito passos, contemplando etapas de identificação e priorização das demandas de adaptação de produtos e elencando ferramentas auxiliares no atingimento dos objetivos desejados. A etapa inicial deste trabalho consiste de uma revisão bibliográfica dividida em duas partes: (i) adaptação de produtos através da utilização da Engenharia Reversa e seus habilitadores, e (ii) ferramentas para melhoria de processos. Os tópicos contemplados em (ii) incluem ferramentas para o mapeamento de processos de manufatura e para a sua melhoria. Destaque especial é dado ao Desdobramento da Função Qualidade – QFD (Quality Function Deployment), a Análise de Modos e Efeitos de Falhas (FMEA – Failure Mode and Effect Analysis) e às Cartas de Processos. Na seqüência, apresentam-se os passos da metodologia proposta para a adaptação de produtos às demandas de mercado utilizando a Engenharia Reversa e seus habilitadores. Finalmente, os passos metodológicos são aplicados a um caso prático, cujo objetivo é a adaptação de um pincel, produzido por uma empresa gaúcha, às demandas de um distribuidor alemão de ferramentas manuais.
Resumo:
Computer vision is a field that uses techniques to acquire, process, analyze and understand images from the real world in order to produce numeric or symbolic information in the form of decisions [1]. This project aims to use computer vision to prepare an app to analyze a Madeira Wine and characterize it (identify its variety) by its color. Dry or sweet wines, young or old wines have a specific color. It uses techniques to compare histograms in order to analyze the images taken from a test sample inside a special container designed for this purpose. The color analysis from a wine sample using an image captured by a smartphone can be difficult. Many factors affect the captured image such as, light conditions, the background of the sample container due to the many positions the photo can be taken (different to capture facing a white wall or facing the floor for example). Using new technologies such as 3D printing it was possible to create a prototype that aims to control the effect of those external factors on the captured image. The results for this experiment are good indicators for future works. Although it’s necessary to do more tests, the first tests had a success rate of 80% to 90% of correct results. This report documents the development of this project and all the techniques and steps required to execute the tests.
Resumo:
Pós-graduação em Engenharia Mecânica - FEIS
Resumo:
Modeling is a step to perform a finite element analysis. Different methods of model construction are reported in literature, as the Bio-CAD modeling. The purpose of this study was to perform a model evaluation and application using two methods of Bio-CAD modeling from human edentulous hemi-mandible on the finite element analysis. From CT scans of dried human skull was reconstructed a stereolithographic model. Two methods of modeling were performed: STL conversion approach (Model 1) associated to STL simplification and reverse engineering approach (Model 2). For finite element analysis was used the action of lateral pterygoid muscle as loading condition to assess total displacement (D), equivalent von-Mises stress (VM) and maximum principal stress (MP). Two models presented differences on the geometry regarding surface number (1834 (model 1); 282 (model 2)). Were observed differences in finite element mesh regarding element number (30428 nodes/16683 elements (model 1); 15801 nodes/8410 elements (model 2). D, VM and MP stress areas presented similar distribution in two models. The values were different regarding maximum and minimum values of D (ranging 0-0.511 mm (model 1) and 0-0.544 mm (model 2), VM stress (6.36E-04-11.4 MPa (model 1) and 2.15E-04-14.7 MPa (model 2) and MP stress (-1.43-9.14 MPa (model 1) and -1.2-11.6 MPa (model 2). From two methods of Bio-CAD modeling, the reverse engineering presented better anatomical representation compared to the STL conversion approach. The models presented differences in the finite element mesh, total displacement and stress distribution.
Resumo:
Pós-graduação em Engenharia Mecânica - FEIS