<strong>Monte carlo method for evaluation of uncertainty of measurement in brinell hardness scale</strong>
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Title Statement |
<strong>Monte carlo method for evaluation of uncertainty of measurement in brinell hardness scale</strong> |
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Added Entry - Uncontrolled Name |
Kumar, Harish ; CSIR - National Physical Laboratory,
New Delhi 110 012
India Moona, Girija ; CSIR - National Physical Laboratory, Dr K S Krishnan Marg, New Delhi 110 012, India Arora, P K; Galgotias College of Engineering and Technology, Greater Noida 201306, India Haleem, Abid ; Jamia Millia Islamia, New Delhi 110025, India Singh, Jasveer ; CSIR - National Physical Laboratory, Dr K S Krishnan Marg, New Delhi 110 012, India Kumar, Rajesh ; CSIR - National Physical Laboratory, Dr K S Krishnan Marg, New Delhi 110 012, India Kumar, Anil ; CSIR - National Physical Laboratory, Dr K S Krishnan Marg, New Delhi 110 012, India |
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Uncontrolled Index Term |
techniques of general use in physics; metrology Uncertainty of measurement; Law of propagation of uncertainty (LPU); Monte Carlo Method (MCM); Brinell hardness measurement; Hardness block |
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Summary, etc. |
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. |
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Publication, Distribution, Etc. |
Indian Journal of Pure & Applied Physics (IJPAP) 2017-06-20 13:27:52 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/IJPAP/article/view/16474 |
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Data Source Entry |
Indian Journal of Pure & Applied Physics (IJPAP); ##issue.vol## 55, ##issue.no## 6 (2017): Indian Journal of Pure & Applied Physics |
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Language Note |
en |
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Nonspecific Relationship Entry |
http://op.niscair.res.in/index.php/IJPAP/article/download/16474/49425 |
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Terms Governing Use and Reproduction Note |
Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India © 2015. The Council of Scientific & Industrial Research, New Delhi. |
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