scholarly journals Measurement Uncertainty Analysis of a Stitching Linear-Scan Method for the Evaluation of Roundness of Small Cylinders

2020 ◽  
Vol 10 (14) ◽  
pp. 4750 ◽  
Author(s):  
Qiaolin Li ◽  
Yuki Shimizu ◽  
Toshiki Saito ◽  
Hiraku Matsukuma ◽  
Wei Gao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Uncertainty Analysis ◽  
Measurement Uncertainty ◽  
Numerical Calculations ◽  
Surface Form ◽  
Roundness Measurement ◽  
Small Cylinder

Influences of angular misalignments of a small cylinder on its roundness measurement by the method referred to as the stitching linear scan method are theoretically investigated. To compensate for the influences, a technique for measuring angular misalignments of a small cylinder by utilizing the linear-scan surface form stylus profilometer, which is employed for roundness measurement, is newly proposed. In addition, for roundness measurement, a holder unit capable of compensating for the angular misalignments of a small cylinder is developed, and the feasibility of the proposed technique is verified in experiments. Furthermore, a measurement uncertainty analysis of the stitching linear-scan method is carried out through numerical calculations based on a Monte Carlo method.

A Simplified Software for Uncertainty Estimation Using Monte Carlo Method

2020 ◽  
Vol 12 (8) ◽  
pp. 1050-1053
Author(s):  
Jasveer Singh ◽  
L. A. Kumaraswamidhas ◽  
Neha Bura ◽  
Kapil Kaushik ◽  
Nita Dilawar Sharma
Keyword(s):  
Monte Carlo ◽  
Standard Deviation ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Standard Uncertainty ◽  
Uncertainty Estimation ◽  
End Points ◽  
The Monte Carlo Method ◽  
Adaptive Trials ◽  
Coverage Interval

The current paper discusses about the application of Monte Carlo method for the evaluation of measurement uncertainty using in-house developed program on C++ platform. The Monte Carlo method can be carried out by fixed trials as well as adaptive trials using this program. The program provides the four parameters viz. estimate of measurand, standard uncertainty in the form of standard deviation and end points of coverage interval as an output.

Uncertainty analysis for fluorescence tomography with Monte Carlo method

2011 ◽  
Author(s):  
Alice Reinbacher-Köstinger ◽  
Manuel Freiberger ◽  
Hermann Scharfetter
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Uncertainty Analysis ◽  
Fluorescence Tomography

scholarly journals Uncertainty analysis of a radiative transfer model using Monte Carlo method within 280–2500 nm region

Solar Energy ◽  
2016 ◽  
Vol 132 ◽  
pp. 558-569 ◽  
Author(s):  
Giorgio Belluardo ◽  
Grazia Barchi ◽  
Dietmar Baumgartner ◽  
Marcus Rennhofer ◽  
Philipp Weihs ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Radiative Transfer ◽  
Uncertainty Analysis ◽  
Radiative Transfer Model ◽  
Transfer Model

scholarly journals Evaluating uncertainty of some radiation measurand using Monte Carlo method

2021 ◽  
Vol 9 (4) ◽  
pp. 34-40
Author(s):  
Duc Ky Bui ◽  
Ngoc Quynh Nguyen ◽  
Duc Thang Duong ◽  
Ngoc Thiem Le ◽  
Quang Tuan Ho ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ionizing Radiation ◽  
Measurement Uncertainty ◽  
Physical Quantity ◽  
Uncertainty Propagation ◽  
Dose Equivalent ◽  
Air Kerma ◽  
Mandatory Requirement ◽  
Radiation Measurements

Evaluating measurement uncertainty of a physical quantity is a mandatory requirement for laboratories within the recognition ISO/IEC 17025 certification to access reliability of measured results. In this work, the uncertainty of ionizing radiation measurements such as air-kerma, personal dose equivalent Hp(d) was evaluated based on GUM method and Monte Carlo method. An uncertainty propagation software has been developed for evaluation of the measurement uncertainty more convenient.

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