Abstract—This paper deals with the manner on which a cloud of points should be generated when measuring a part surface and with the processing procedures needing to be applied in order to characterize the geometry of addressed surface. More precise, an algorithm for surface geometry identification has been developed and implemented by MatLab applications. It finds the necessary number of measuring points, according to surface precision requirements, and their distribution, conform to surface functional role. Basic geometrical features of the surface are assessed by using the coordinates of the resulted cloud of points. A numerical simulation has been performed for sampling the algorithm application.
Index Terms—Cloud of points, controlled measuring, identification algorithm, surface geometry features.
G. Frumuşanu is with the Manufacturing Engineering Department, Dunărea de Jos University of Galaţi, Romania (e-mail: gabriel.frumusanu@ ugal.ro).
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Cite: Gabriel Frumuşanu, "Algorithm for Surface Geometry Identification
by Controlled Measuring Clouds of Points
," International Journal of Modeling and Optimization vol. 7, no. 4, pp. 231-235, 2017.
