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Descripción
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| The study of Surface Texture by the evaluation of surface parameters requires a previous filtering of the raw measured values. Filtering is needed whether the information provided by the instrumentation comes in a two-dimensional (profile) or three-dimensional (areal) form. The filtering process is required in order to ensure that the study is always focused in a specific wavelength range. Currently, the most used filter in Surface Texture is the Gaussian Filter, even though other filters exist, such as the Splines Filter. Those filters have better behaviour when they are applied to certain profile geometries such as pronounced peaks or valleys. The Wavelet Filter is also a very interesting option, and its applications to surface finish have not been sufficiently studied. The present study attempts to explain the basics for Wavelet Filters applied to two-dimensional profiles. With this purpose, the main characteristic variables for the Wavelet Filter are presented: the type of wavelet to be used, the number of points considered for the filter, the level and criteria of decomposition and reconstruction of the initial data and the data pre-processing. Moreover, a series of profiles has been selected in order to compare the results obtained by the Wavelet Filter and the Gaussian filter. Finally, this paper proposes a general procedure for the Wavelet Filter implementation in order to separate the profiles of roughness and waviness. | |
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Internacional
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Si |
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JCR del ISI
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No |
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Título de la revista
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Procedia Manufacturing |
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ISSN
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2351-9789 |
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Factor de impacto JCR
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Información de impacto
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Volumen
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Volume 41 |
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DOI
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10.1016/j.promfg.2019.10.004 |
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Número de revista
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Desde la página
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811 |
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Hasta la página
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818 |
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Mes
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SIN MES |
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Ranking
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