Towards a continuous frequency band chirp material measure for surface topography measuring instrument calibration

2021 ◽  
Author(s):  
Matthias Eifler ◽  
Julian Hering ◽  
Andrej Keksel ◽  
Georg von Freymann ◽  
Jörg Seewig
Keyword(s):  
Surface Topography ◽  
Frequency Band ◽  
Measuring Instrument ◽  
Instrument Calibration ◽  
Continuous Frequency ◽  
Material Measure

scholarly journals Comparison of material measures for areal surface topography measuring instrument calibration

2020 ◽  
Vol 8 (2) ◽  
pp. 025019
Author(s):  
M Eifler ◽  
J Hering ◽  
J Seewig ◽  
R K Leach ◽  
G von Freymann ◽  
...  
Keyword(s):  
Surface Topography ◽  
Measuring Instrument ◽  
Instrument Calibration ◽  
Areal Surface

scholarly journals Noise evaluation of a point autofocus surface topography measuring instrument

2018 ◽  
Vol 29 (6) ◽  
pp. 065008 ◽  
Author(s):  
Giacomo Maculotti ◽  
Xiaobing Feng ◽  
Maurizio Galetto ◽  
Richard Leach
Keyword(s):  
Surface Topography ◽  
Measuring Instrument ◽  
Noise Evaluation

3D Topography Analysis of Ball-End Milled H-13 Die Steel Surfaces Using Wavelet Decomposition Method

2016 ◽  
Vol 693 ◽  
pp. 689-696
Author(s):  
Shuai Liu ◽  
Jun Zhao ◽  
Xian Hua Tian ◽  
Wen Zhen Qin
Keyword(s):  
Surface Topography ◽  
Frequency Band ◽  
High Frequency ◽  
Decomposition Method ◽  
Wavelet Decomposition ◽  
Great Influence ◽  
Median Frequency ◽  
Die Steel ◽  
Changing Trend ◽  
Steel Surfaces

Optical profiler is employed to measure the surface topography of H-13 die steel machined by ball end cutter. By using 2D discret wavelet decomposition, the topographies of different frequency bands are obtained and the influence of cutter posture on varying frequncy bands topography is studied. The results show that cutter posture has a great influence on the whole frequency band roughness. The changing trend of roughness is roughly the same under different cutter postures which increase firstly then decrease with the decrease in frequency. A surface with a small high frequency roughness may have a large median frequency roughness.

scholarly journals Measuring noise as a component of uncertainty measurements of the surface texture

Mechanik ◽  
2018 ◽  
Vol 91 (12) ◽  
pp. 1132-1135
Author(s):  
Tomasz Dobrowolski ◽  
Jan Tomasik ◽  
Katarzyna Tandecka ◽  
Marek Magdziak ◽  
Rafał Reizer
Keyword(s):  
Surface Topography ◽  
Surface Texture ◽  
External Environment ◽  
Internal Noise ◽  
Measurement Noise ◽  
Measuring Instrument ◽  
Dynamic Noise ◽  
Uncertainty Of Measurements ◽  
Modern Methods ◽  
Uncertainty Measurements

One of the sources of errors affecting the uncertainty of measurements of the surface texture is the measurement noise, called dynamic noise, which is a combination of the internal noise of the measuring instrument and the influence of the external environment. The article presents the comparison of measurement noise for instruments using various methods of measuring the surface texture that were used during the implementation of the project No. PBS2/A6/20/2013/NCBiR/24/10/2013 “Research and evaluation of reliability of modern methods of surface topography measurements in micro and nano scale”.

scholarly journals The calibration and uncertainty evaluation by elementary measurement models

2021 ◽  
Vol 1 ◽  
pp. 1-10
Author(s):  
Oleksandr Samoilenko
Keyword(s):  
Measurement Model ◽  
Uncertainty Evaluation ◽  
Measuring Instruments ◽  
Measuring Instrument ◽  
Measurement Standard ◽  
Measurement Result ◽  
Average Value ◽  
Measurement Models ◽  
Material Measure ◽  
Object Material

Nature has often made necessary things simple (elementary) and complicated ones unnecessary. This can be applied to measurement models of the large amount of working measurement standards and working measuring instruments. Nevertheless, if measurement model is elementary, it does not mean that it is primitive. It should be formulated according to the sufficiency, mathematical completeness and correctness principles. The attempt to formulate models according to the mentioned principles is introduced. Models are called elementary, as measurement result is function of one or two homogeneous measured quantities. Thus, measurement result is a single reading of the measurement standard or measuring instrument or average value of several readings, or bias as the disparity between readings of the calibrated measuring instrument and measurement standard. Notwithstanding the elementary measurement models simplicity, many variants of solutions are obtained in the process of the measurement result uncertainty evaluation by these models. Publication demonstrates how to choose the best uncertainty evaluation from many variants of solutions depending on whether single readings or average of several readings is included to measurement model. The best choice of the measurement model depends on resolution of the indicating measuring instrument. Moreover, the best choice depends on the measurement standard used for calibration, which is material measure or measuring instrument and depends on the calibration object: material measure or measuring instrument.

Situational and Logical Algorithm of the Operation of a Measuring Instrument for Freshwater Ice Thickness with a Continuous Frequency-Modulated Signal

2017 ◽  
Vol 60 (6) ◽  
pp. 604-611
Author(s):  
B. A. Atayants ◽  
I. V. Baranov ◽  
V. A. Bolonin ◽  
V. M. Davydochkin ◽  
V. V. Ezerskii
Keyword(s):  
Ice Thickness ◽  
Measuring Instrument ◽  
Freshwater Ice ◽  
Continuous Frequency

scholarly journals Residual flatness and scale calibration for a point autofocus surface topography measuring instrument

2019 ◽  
Vol 30 (7) ◽  
pp. 075005 ◽  
Author(s):  
Giacomo Maculotti ◽  
Xiaobing Feng ◽  
Rong Su ◽  
Maurizio Galetto ◽  
Richard Leach
Keyword(s):  
Surface Topography ◽  
Measuring Instrument ◽  
Scale Calibration

Research on the Calibration Method for Analog Measuring Instrument

2014 ◽  
Vol 926-930 ◽  
pp. 1554-1557
Author(s):  
Xiao Ju Ma ◽  
Yu Gao ◽  
Lin Yun Zhou
Keyword(s):  
Template Matching ◽  
Calibration Method ◽  
Measuring Instruments ◽  
Measuring Instrument ◽  
Bottom Line ◽  
Instrument Calibration ◽  
Analog Measuring ◽  
Rectangular Area

This paper presents a pointer instrument calibration method based on template matching, which segments the image that area closest to the pointer by setting the width on the basis of the meter needle positioning, scans the region from top to bottom line by line, determines smaller rectangular area containing calibration digital only, uses template matching to identify numbers theory to identify the calibration digital in the region. Experiments show that this method can identify the calibration digital quickly and efficiently in analog measuring instruments.

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