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Large Area Concrete Surface Topography Measurements Using Optical 3D Scanner

Majchrowski R., Grzelka M., Wieczorowski M., Sadowski Ł., Gapiński B.

Metrology and Measurement Systems

2015

Vol. 22, nr 4

565--576

The paper presents examinations of the surface of base concrete with a 3D scanner. Two base concrete surfaces, differently prepared, were examined, together with two measurement strategies: simple and fast 3D scanning and partial scanning in selected areas corresponding to the device measurement space. In order to complete the analysis of a concrete surface topography an original Matlab-based program TAS (Topography Analysis and Simulation) was developed for both 2D and 3D surface analyses. It enables data processing, calculation of parameters, data visualization and digital filtration.

Investigations of concrete surface roughness by means of 3D scanner

Grzelka M., Majchrowski R., Sadowski Ł.

Prace Instytutu Elektrotechniki

2011

Z. 251

97-108

This paper presents investigations of the base concrete surface in concrete floors by means of a 3D scanner. Two base concrete surfaces, differing in their preparation, were investigated.

W niniejszym artykule przedstawiono badania topografii (chropowatości 3D) powierzchni warstwy konstrukcyjnej podłóg betonowych za pomocą metody powierzchniowej. W tym celu wykorzystano optyczny skaner współrzędnościowy oraz opracowane oprogramowanie do analizy wyników pomiarów. Badaniom poddano dwie warstwy konstrukcyjne ze zróżnicowanym sposobem przygotowania warstwy konstrukcyjnej. W algorytmach obliczeniowych wykorzystano obowiązujące zależności dla wyznaczania poszczególnych parametrów 3D opisujących charakter badanych powierzchni.

Advanced metrology of surface defects measurement for aluminum die casting

Świłło S. J., Myszka D.

Archives of Foundry Engineering

2011

Vol. 11, iss. 3 spec.

227--230

The scientific objective of the research is to develop a strategy to build computer based vision systems for inspection of surface defects in products, especially discontinuities which appear in castings after machining. In addition to the proposed vision inspection method the authors demonstrates the development of the advanced computer techniques based on the methods of scanning to measure topography of surface defect in offline process control. This method allow to identify a mechanism responsible for the formation of casting defects. Also, the method allow investigating if the, developed vision inspection system for identification of surface defects have been correctly implemented for an online inspection. Finally, in order to make casting samples with gas and shrinkage porosity defects type, the LGT gas meter was used . For this task a special camera for a semi-quantitative assessment of the gas content in aluminum alloy melts, using a Straube-Pfeiffer method was used. The results demonstrate that applied solution is excellent tool in preparing for various aluminum alloys the reference porosity samples, identified next by the computer inspection system.