Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/42260
Title: Monte carlo method for evaluation of uncertainty of measurement in brinell hardness scale
Authors: Kumar, Harish
Moona, Girija
Arora, P K
Haleem, Abid
Singh, Jasveer
Kumar, Rajesh
Kumar, Anil
Keywords: Uncertainty of measurement;Law of propagation of uncertainty (LPU);Monte Carlo Method (MCM);Brinell hardness measurement;Hardness block
Issue Date: Jun-2017
Publisher: NISCAIR-CSIR, India
Abstract: Though method based on law of propagation of uncertainty (LPU), described in GUM, is widely used as an international method for estimation of the uncertainty associated with measurements, JCGM through supplement JCGM 101:2008, which deals with the propagation of distributions, recommends the application of Monte Carlo method (MCM) to evaluate the uncertainty of measurement as an alternative method to LPU. In MCM approach, probability distribution function of measurand has been determined by assigning appropriate probability distribution of the input quantities. In the present paper, effort has been made to discuss the procedure for the application of MCM for computing the uncertainty of measurement of hardness blocks, which have been calibrated by Brinell hardness machine and observations have been recorded. A comparison of the findings of the LPU and MCM has been made, which shows good agreement between the two methodologies adopted. The paper attempts to highlights the MCM for uncertainty of measurement evalution and its implications in this regard. The paper thrusts upon the practical viability of MCM in similar applications and reliability of method have been discussed and presented.
Page(s): 445-453
URI: http://nopr.niscair.res.in/handle/123456789/42260
ISSN: 0975-1041 (Online); 0019-5596 (Print)
Appears in Collections:IJPAP Vol.55(06) [June 2017]

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