< back to main site


Deriving uncertainties when using simulation in metrology.

Esward, T J; Wright, L (2007) Deriving uncertainties when using simulation in metrology. NPL Report. DEM-ES 017

[img] Text

Download (4MB)


This report for the Software Support for Metrology programme considers the use of simulations in metrology. It presents three case studies (simulation of pistoncylinder pressure balances using finite element methods, Monte Carlo methods for evaluating the uncertainties associated with the measurements of the absolute thermodynamic temperatures of blackbodies, and molecular dynamics methods) that address the use of simulations to study or derive uncertainties in metrology applications, and uncertainties in simulations themselves. Each case study provides practical advice that can help ensure effective use of simulation techniques in metrology.
Note that most figures in this document are in colour and may best be viewed
in the electronic version of this report.

Item Type: Report/Guide (NPL Report)
NPL Report No.: DEM-ES 017
Keywords: mathematical modelling
Subjects: Mathematics and Scientific Computing
Mathematics and Scientific Computing > Measurement Uncertainties
Last Modified: 02 Feb 2018 13:15
URI: http://eprintspublications.npl.co.uk/id/eprint/3852

Actions (login required)

View Item View Item