鋳物表面粗さ光学式測定における測定精度向上法

概要

論文の詳細を見る
A technology for improving the measurement accuracy for the surface roughness of 3-dimensional cast metals, using an optical noncontact method is studied in this work. In particular, the technology to maintain a constant average output value is developed, because values obtained using the optical method depend significantly on the average output value of detected images. It is clarified theoretically and experimentally that the average output value depends not only on the surface retlectivity and illuminance but also on the surface roughness and inclination. An image detection sensor with 2 optical filters is developed and the number of digitized signals is increased from 256 levels to 1024 levels using this image detection sensor. This technology uses software to maintain a constant average output value of detected images without the saturation of the output value. As a result, the linear relationship between the surface roughness and the value obtained using the optical method, and the measurement accuracy are improved.
公益社団法人精密工学会の論文
1999-12-05