Today, profiles of involute gears are measured with conventional or specialized coordinate measuring devices. The measuring speed of such instruments decrease with an increasing density of measuring points. Therefore, coordinate measuring devices often scan only a few lines of the gear surface. But these profiles represent only partially the functional behavior of the gear. This contribution describes a method, which measures the complete surface of a tooth in only a few seconds. A structured light pattern is directed towards the tooth. A CCD-camera records the stripes, deformed by the interaction between the surface and the light pattern. An algorithm transforms the registered graylevel patterns together with the system design data and the calibration information into the 3D-coordinates of the gear surface. At a measuring area of a few cm², the resolution amounts to about 1 µm. A 3D system calibration discussed in this paper aims at an improvement of the measuring uncertainty. Finally, first results of helical gear measurements are presented.

A surface roughness measurement technique, based on an optical method using a computer vision system, was investigated for applicability to inprocess monitoring of surface quality. The developed vision system uses a CCD camera for scanning gray-scale images from an area of the machined workpiece. This images were analysed with digital image processing system. Some new optical roughness parameters were derived from the images based on their histograms and optical objects of machined surface. New parameters were plotted against the corresponding average roughness values (Ra ) determined using a stylus method. The resulting curves were researched to determine which optical parameters are optimal for use in the surface monitoring system. As most useful were a number of dark objects of the image and coefficient of variation of the histogram of inspected surface.

The paper describes a conception of a scanning system applied to the complex inspection of turbine blades. The implementation of the scanning technique on CMM produced in IOS required to use a new scanning probe, as well as the implementation of an extended control and processing data procedures. In accordance to the technical documentation the analysis program is capable to perform the evaluations of the parameters of blade features. A very accurate comparison with nominal features with graphical presentation can be achieved. The usage of above method has been checked in industrial application.

In this paper the principle and device NME 90° for large square standards calibration is described. The self-calibration methods of measurement are used. They allow very low uncertainty of the square calibration with mathematical elimination of measuring column straightness deviations. The process of measurement is full automated and controlled by PC, which collects and evaluates measured data. The uncertainties of the square measurement are also discussed in the paper.

Guaranteed surface roughness is required because of functional demand for active surfaces of machine parts. Such as for example: clamping surfaces of tools, thread flanks of guide screws and others. Therefore we are finding out the roughness magnitude during production process. If these surfaces are inaccessible for profilprojector roughness measuring the off print method can be used. The using of appropriate material of the offprint will determine the best correlation of measured results of the offprint roughness and real surface roughness magnitude. Our contribution contains methods for offprint reading and comparison of results for different materials.