Mathematical calibration procedure of a capacitive sensor-based indexed metrology platform

• Published in: Measurement science & technology Vol. 28; no. 3; pp. 35008 - 35019
• Main Authors: Brau-Avila, A, Santolaria, J, Acero, R, Valenzuela-Galvan, M, Herrera-Jimenez, V M, Aguilar, J J
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.03.2017
• Subjects: capacitive sensor; coordinate metrology systems; indexed metrology platform; portable coordinate measuring machine
• ISSN: 0957-0233; 1361-6501
• DOI: 10.1088/1361-6501/aa5740

The demand for faster and more reliable measuring tasks for the control and quality assurance of modern production systems has created new challenges for the field of coordinate metrology. Thus, the search for new solutions in coordinate metrology systems and the need for the development of existing ones still persists. One example of such a system is the portable coordinate measuring machine (PCMM), the use of which in industry has considerably increased in recent years, mostly due to its flexibility for accomplishing in-line measuring tasks as well as its reduced cost and operational advantages compared to traditional coordinate measuring machines. Nevertheless, PCMMs have a significant drawback derived from the techniques applied in the verification and optimization procedures of their kinematic parameters. These techniques are based on the capture of data with the measuring instrument from a calibrated gauge object, fixed successively in various positions so that most of the instrument measuring volume is covered, which results in time-consuming, tedious and expensive verification and optimization procedures. In this work the mathematical calibration procedure of a capacitive sensor-based indexed metrology platform (IMP) is presented. This calibration procedure is based on the readings and geometric features of six capacitive sensors and their targets with nanometer resolution. The final goal of the IMP calibration procedure is to optimize the geometric features of the capacitive sensors and their targets in order to use the optimized data in the verification procedures of PCMMs.