Analysis of the applicability of filtration methods for coordinate measurements
Authors:
Open Access
- 30 October 2018
- journal article
- research article
- Published by EDP Sciences in MATEC Web of Conferences
- Vol. 224, 01093
Abstract
At present, surface metrology solves such important tasks as monitoring the production process and optimizing the exploitation of parts. A significant part of the measurements is performed by a contact method using Coordinate Measuring Machines. One of the important steps in the processing of measurement information is the filtration of the received signal. The existing standards regulate only the processes of measuring roundness and roughness. Therefore, researches on the applicability of filtration methods in the general case for coordinate measurements are relevant. Based on the review presented in the article, the filters that have received the greatest application in other fields of technology are defined by the strategy of their application for coordinate measurements. It is recommended to use the following sequence: elimination of gross errors based on the Grubbs’ test, discrete Fourier transform for revealing systematic errors, elimination of systematic errors from the signal, minimization of the random error with the bilateral Gaussian filter, surface reconstruction after filtering based on inverse Fourier transform. The above example of signal filtering for flatness confirmed the effectiveness of the proposed approach.Keywords
This publication has 19 references indexed in Scilit:
- Roundness deviation evaluation method based on statistical analysis of local least square circlesMeasurement Science and Technology, 2017
- Modeling Optimal Path of Touch Sensor of Coordinate Measuring Machine Based on Traveling Salesman Problem SolutionProcedia Engineering, 2017
- Minimization of the Systematic Error in Centerless Measurement of the Roundness of PartsMeasurement Techniques, 2016
- Method for estimating the uncertainty of the spatial mating of high-precision optical and mechanical partsComputer Optics, 2016
- The Centerless Measurement of Roundness with Optimal AdjustmentIOP Conference Series: Materials Science and Engineering, 2015
- Method of Optimal Measurement Strategy for Ultra-High-Precision Machine in Roundness NanometrologyInternational Journal on Smart Sensing and Intelligent Systems, 2015
- Algorithms for morphological profile filters and their comparisonPrecision Engineering, 2012
- Roundness filtration by using a robust regression filterMeasurement Science and Technology, 2011
- Characterization of general systematic form errors for circular featuresInternational Journal of Machine Tools and Manufacture, 2003
- Uncertainties in CMM Measurements, Control of ISO SpecificationsCIRP Annals, 2003