| dc.description.abstract | Most of the traditional gear measurements use contact probes, but such contact measurements are restricted by a number of factors, including, but not limited to probe sizes, gear materials and measuring speeds. Therefore, an innovative optical measuring technology is developed by this research for gear measurements, during which, the laser beams are projected to the surface of the gear to be measured by diffractive optical elements (DOEs), while CCDs are used to capture the resulting images for analysis in order to determine the errors for gear topography, tooth profile and lead.
The measuring system developed by this study uses the images captured by two CCDs to perform calibrations, alignments and corrections, and a 3D coordinate system is established, from which, the coordinate values for the laser beams projected by the DOEs on the surface of the gear is determined. In order to determine the accuracy of the measuring system developed by this research, the measurement data obtained by 3D measuring devices are used as the reference and its corresponding distribution pattern is established. The perpendicular distance between a coordinate value of laser beam projected on the surface of the gear and the distribution pattern is determined. The distribution pattern of the data generated from such distance determination is established and compared with an ideal distribution in order to determine the errors for gear topology, gear profile and lead. The results of experiments show that the accuracy of the system developed by this research is up to 0.0651mm, which confirms the reliability of the system for 3D gear surface measurement. It is expected further improvement of DOEs and CCDs may enhance the resolution of the measuring system to satisfy the requirements for industrial use.
The technology developed by this research is an efficient non-contact optical measurement system for gears, which performs comparisons against ideal values and determine errors by using DOEs, laser projections, the images captures by CCDs, computer vision and the corresponding distribution patterns of data obtained. | en_US |