Effect of collagenase ointment on a radiofrequency induced abrasive wound

• Aim: Radiofrequency is one of the methods used to treat wrinkles and skin lesions, but its application may result in an abrasive wound. The purpose of this study was to evaluate the effect of collagenase ointment on the epithelial healing of an abrasive wound induced by a radiofrequency system. • Methods: An abrasive wound was produced using radiofrequency at the dorsal midline of 30 guinea pigs, which were randomly divided into 2 groups: one group were treated with saline solution and the other group treated with collagenase ointment; both used twice daily. The animals were sacrificed at 1, 7, 15, 30 and 60 postoperative days. Macroscopic, histological and morphometric evaluations were performed and the results were submitted to statistical analysis. • Results: The animals treated with collagenase ointment presented accelerated healing process and less inflammatory cell infiltration than the saline solution treated animals from one to fifteen postoperative days. Morphometric evaluation showed a thicker epidermis and a thinner dermis layer in the saline solution group at one and seven postoperative days, but significant differences between both groups were not observed at thirty and sixty postoperative days. • Conclusion: According to our results the use of collagenase ointment may accelerate the healing process of a radiofrequency induced abrasive wound.

A mechatronic system applied to wear particle analysis

This paper describes the development of a mechatronic system for a predictive maintenance grounded on wear particle analysis. The reckoning of wear particles containing in lubricating industrial oils brings the image acquisition system into being. The ISO 4406:1999 standard is a guide to establish the counting and evaluation processes of particles. The system applied to the acquisition and analysis of the data consists of a digital camera, a monocular microscope and an oil filtering system. A computational program was developed with the application of Visual Microsoft C++ in a way to detain the oil sample image from the microscope slide to the computer screen. Quantitative analyses of the wear debris particles bulk are exploited applying a graphical interface that was developed to render the image processing of the sample test. The implemented system has a reachable cost thus it can be applied for schooling goals and for bolstering laboratories of minor industries and medium size companies.

Finishing of flat parts led by lapping kinematics on abrasive disc dressed in agreement with overlap factors

This paper discusses the investigation of an abrasive process for finishing flat workpieces, based on the combination of important grinding and lapping characteristics. Instead of loose abrasive grains between the workpiece and the lapping plate, a resinoid grinding wheel of hot-pressed silicon carbide is placed on the plate of a device resembling a lapping machine. The resin bond grinding wheel is dressed with a single-point diamond. In addition to keeping the plate flat, dressing also plays the role of interfering in the behavior of the process by varying the overlap factor (Ud). It was found that the studied process simplify the set-up and can be controlled more easily than in lapping, whose is a painstaking process. The surface roughness and flatness deviation proved comparable to those of lapping, or even finer than it, with the additional advantage of a less contaminated workpiece surface with a shiny appearance. The process was also monitored by acoustic emission (AE), which indicates to be a promissing and suitable technique for use in this process. Copyright © 2008 by ASME.

Application of MLP and Kohonen networks for recognition of wear patterns of single-point dressers

Grinding is a parts finishing process for advanced products and surfaces. However, continuous friction between the workpiece and the grinding wheel causes the latter to lose its sharpness, thus impairing the grinding results. This is when the dressing process is required, which consists of sharpening the worn grains of the grinding wheel. The dressing conditions strongly affect the performance of the grinding operation; hence, monitoring them throughout the process can increase its efficiency. The objective of this study was to estimate the wear of a single-point dresser using intelligent systems whose inputs were obtained by the digital processing of acoustic emission signals. Two intelligent systems, the multilayer perceptron and the Kohonen neural network, were compared in terms of their classifying ability. The harmonic content of the acoustic emission signal was found to be influenced by the condition of dresser, and when used to feed the neural networks it is possible to classify the condition of the tool under study.

Effects of high temperature plasma immersion ion implantation on wear resistance of Ti-Si-B sintered alloys

Although titanium and its alloys own good mechanical properties and excellent corrosion resistance, these materials present poor tribological properties for specific applications that require wear resistance. In order to produce wear-resistant surfaces, this work is aimed at achieving improvement of wear characteristics in Ti-Si-B alloys by means of high temperature nitrogen plasma immersion ion implantation (PIII). These alloys were produced by powder metallurgy using high energy ball milling and hot pressing. Scanning electron microscopy (SEM) and X-ray diffraction identified the presence of α-titanium, Ti6Si2B, Ti5Si3, TiB and Ti3Si phases. Wear tests were carried out with a ball-on-disk tribometer to evaluate the friction coefficient and wear rate in treated and untreated samples. The worn profiles were measured by visible light microscopy and examined by SEM in order to determine the wear rates and wear mechanisms. Ti-7.5Si-22.5B alloy presented the highest wear resistance amongst the untreated alloys produced in this work. High temperature PIII was effective to reduce the wear rate and friction coefficient of all the Ti-Si-B sintered alloys. © 2013 Elsevier B.V.

Neural networks models for wear patterns recognition of single-point dresser

Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the grinding process. When this occurs, the dressing process is essential to sharpen the worn grains of the grinding wheel. The dressing conditions strongly influence the performance of the grinding operation; hence, monitoring them throughout the process can increase its efficiency. The purpose of this study was to classify the wear condition of a single-point dresser using intelligent systems whose inputs were obtained by digitally processing acoustic emission signals. Two multilayer perceptron (MLP) neural networks were compared for their classification ability, one using the root mean square (RMS) statistics and another the ratio of power (ROP) statistics as input. In this study, it was found that the harmonic content of the acoustic emission signal is influenced by the condition of the dresser, and that the condition of the tool under study can be classified by using the aforementioned statistics to feed a neural network. © IFAC.

Desgaste abrasivo e dureza de seis resinas compostas expostas a diferentes tempos de fotopolimerização com aparelhos de LED e lâmpada incandescente

Pós-graduação em Ciência e Tecnologia de Materiais - FC

Influência das propriedades petrográficas na qualidade do polimento de rochas ornamentais

Pós-graduação em Geologia Regional - IGCE

Efeito do tratamento térmico nas propriedades mecânicas e resistência ao desgaste de um ferro fundido branco multicomponente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito do uso de vernizes com alta e baixa concentração de fluoreto suplementado com trimetafosfato sobre a erosão e abrasão do esmalte dentário: estudo in vitro

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Aplicação de redes neurais artificiais no monitoramento da operação de dressagem

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da influência do tempo de centelhamento para diferentes métodos de refrigeração na retificação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização de materiais utilizados na fabricação de cilindros de laminação submetidos ao desgaste abrasivo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ação de géis fluoretados, suplementados ou não com hexametafosfato de sódio, no processo de erosão do esmalte dentário: estudo in situ

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da resistência ao desgaste de uma resina composta odontológica nanoparticulada empregando diferentes tempos de fotopolimerização

Pós-graduação em Engenharia Mecânica - FEG