Paper Titles
Design of a Press for Densification of Waste Biomass in Developing Countries
p.1
Monte Carlo Analysis as a Tool for Characterizing Uncertainty in Optical Calibration of End Standards
p.18
The Study of Elastic-Plastic Fatigue Behavior of Nigerian-Rolled NST 37-2 Steel
p.28
Development of Composite Material from Agricultural Wastes
p.42
Design, Analysis and Experimental Evaluation of Photovoltaic Forced Convection Solar Dryer for the Tropics
p.49
Optimization of Biodiesel Production from Jatropha Oil
p.62
Thermochemical Evaluation of Hydroxyl and Peroxyl Radical Precursors in the Formation of Tropospheric Ozone Reactions
p.74
Assessment of Bentonite Influence on Hydraulic Conductivity of Lateritic Soil
p.84
Statistical Analysis of Polarized Wide-Band MIMO Channels in an Indoor Environment
p.94

Monte Carlo Analysis as a Tool for Characterizing Uncertainty in Optical Calibration of End Standards

Article Preview

Abstract:

In this paper, Monte Carlo method (MCM) is used to analyze the uncertainty of optical calibration of end standards using both contact and non-contact techniques to validate the uncertainty values obtained by the conventional method, Guide to the expression of Uncertainty in Measurement (GUM). Number of trials (M=104) is simulated with the probability density function (pdf) for each quantity, and the comparison between the results of the MCM and the GUM shows good agreement which in turn validates the uncertainty values obtained by the conventional method. The statistical analysis, variables' distributions, and the output of each technique are discussed in detail.

You might also be interested in these eBooks
International Journal of Engineering Research in Africa Vol. 3 View Preview

Info:

Periodical:

International Journal of Engineering Research in Africa (Volume 3)

Pages:

18-27

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.3.18

Citation:

Cite this paper

Online since:

November 2010

Authors:

Niveen Farid

Keywords:

End Standard Calibration, Monte Carlo Method Simulation, Validation of GUM, Variables Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] ISO: Guide to the expression of uncertainty in Measurements, International Standardizations Organization Publications (1995).

Google Scholar

[2] N. Metropolis and S. Ulam, The Monte Carlo Method, J. Amer. Stat. Assoc. 44 (1949) 335-341.

Google Scholar

[3] B. Acko, and A. Godina, Verification of the conventional measuring uncertainty evaluation model with Monte Carlo simulation, Int. J. Simul. Model, 4 (2005) 76-84.

DOI: 10.2507/ijsimm04(2)3.039

Google Scholar

[4] JCGM 101: Evaluation of measurement data — Supplement 1 to the Guide to the expression of uncertainty in measurement — Propagation of distributions using a Monte Carlo method (2008).

Google Scholar

[5] ISO3650: 1998(E): Geometrical Product Specifications (GPS) — Gauge blocks.

Google Scholar

[6] J. S. Beers and C. D. Tucker, Intercomparison Procedures For Gage Blocks Using Electromechanical Comparators, NBSIR 76-979 (1976).

DOI: 10.6028/nbs.ir.76-979

Google Scholar

[7] Ted Doiron and John Beers, The Gauge Block Handbook, Dimensional Metrology Group, Precision Engineering Division, National Institute of Standards and Technology (2005).

Google Scholar

[8] S. Zahwi, M. Bahrawy, M. Amer and N. Farid, Improved Abbe vertical metroscope for the calibration of gauge blocks, Key Engineering Materials 381-382 (2008) 573-576.

DOI: 10.4028/www.scientific.net/kem.381-382.573

Google Scholar

[9] J.E. Decker and J. R., Gauge Block Calibration by optical interferometry at the National Research Council of Canada, The Measurement Science Conference Pasadena, California, NRC Internal Report No. 40002 (1997) 23-24.

Google Scholar

[10] J.E. Decker and J. R. Peklensky, Uncertainty of gauge block calibration by mechanical comparison, National Research Council Publications Doc. No. 39998, Canada (1996).

Google Scholar

[11] Grzegorz Michalecki, Automatic Calibration Of Gauge Blocks Measured By Optical Interferometry, Measurement Science Review 1 (2001) 93-96.

Google Scholar