3D surface roughness characteristics for biological applications

Abstract

This paper deals with the topographic evaluation of samples made from materials applied in biomedicine. Different samples were made from Ti, TiAlV, TiNb and austenitic steel -Fe were used together with different surface morphology created. These samples were coated with a layer of TiNb alloy. The goal was to measure surface roughness in individual samples of biomaterials and to evaluate a 3D measurement of surface morphology made with a confocal microscope. Another task was to compare with appropriate software the pictures of material topography acquired at lower and higher magnification. Lower (10x) and higher (200x) magnification was used. For measured data evaluation SPIP and Gwyddion software were used. The same method of surface treatment was used but on different samples, which can lead to different results. The values obtained from topography measurements are crucial, but their formulation or evaluation can be affected by different processing methods. Our interest was to find and record the theoretically best procedure for the evaluation of measured data. Then to better understand the cell adhesion and integration of bacteria, we dealt with visualization of topography of given samples.

Experimental investigation and optimization of hybrid turning of Ti6Al7Nb alloy under nanofluid based MQL by TOPSIS method

“…Essential surface roughness values within nominal limits are expected in biomedical applications in order to ensure conformity between tissue and implants [49][50][51]. Moreover, machining process generates smoother surfaces and thereby corrosion resistance, fatigue life etc.…”

An approach to detecting and eliminating spatial contour artifacts in Web GIS applications

“…Также представляется целесообразным отметить, что на качество визуализации пространственных изолиний непосредственное влияние оказывает формат соответствующих атрибутивных значений [5]. Если формируемый по результатам обработки исходных данных домен обнаруживает большое количество значений (к примеру, сопоставимое с размером массива исходных данных), то формируемые в результате пространственные изолинии в своем количестве приведут к построению визуально перегруженного изображения [6]. Последнее, в свою очередь, будет плохо восприниматься конечным пользователем, с одной стороны, а также приведет к снижению скорости рендеринга пространственного картографического изображения, к примеру, в окне браузера [7 -8], с другой.…”

Tribological Properties and 3D Topographic Parameters of Hard Turned and Ground Surfaces

“…The analyses of this study were carried out for 3D surface topography parameters, namely the maximum peak height ( Sp ), the maximum valley depth ( Sv ), the peak material volume ( Vmp ), the valley void volume ( Vvv ), the skewness ( Ssk ) and the kurtosis ( Sku ). For complex topography characterization it is necessary to use several parameters in parallel [ 15 , 16 ].…”