Abstract
Measurement, Modeling and Evaluation of Surface Parameter Using Capacitive-Sensor-Based Measurement System
Surface roughness parameter prediction and evaluation are important factors in determining the satisfactory performance of machined surfaces in many fields. The recent trend towards the measurement and evaluation of surface roughness has led to renewed interest in the use of newly developed non-contact sensors. In the present work, an attempt has been made to measure the surface roughness parameter of different machined surfaces using a high sensitivity capacitive sensor. A capacitive response model is proposed to predict theoretical average capacitive surface roughness and compare it with the capacitive sensor measurement results. The measurements were carried out for 18 specimens using the proposed capacitive-sensor-based non-contact measurement setup. The results show that surface roughness values measured using a sensor well agree with the model output. For ground and milled surfaces, the correlation coefficients obtained are high, while for the surfaces generated by shaping, the correlation coefficient is low. It is observed that the sensor can effectively assess the fine and moderate rough-machined surfaces compared to rough surfaces generated by a shaping process. Furthermore, a linear regression model is proposed to predict the surface roughness from the measured average capacitive roughness. It can be further used in on-machine measurement, on-line monitoring and control of surface roughness in the machine tool environment.
Subject
Instrumentation,Control and Systems Engineering
Reference28 articles.
1. Paradigm shifts in surface metrology. Part I. Historical Philosophy;X. Jiang;Proceedings of Royal Society A,2007
2. The applicability of a laser triangulation probe to non-contacting inspection;K. Goh;International Journal of Production Research,1986
3. Two dimensional measurement of surface roughness by the light sectioning method;S. Uchida;Annals CIRP,1979
4. Noncontact surface roughness measurement of engineering surfaces by total integrated infrared scattering;M. Bjuggren;Precision Engineering,1997
5. Surface-roughness study using laser speckle method;S. Toh;Optics and Lasers in Engineering,1998
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