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Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser

In flowing medium Chemical Oxygen Iodine Laser (COIL), Singlet oxygen is produced by the exothermic reaction of basic hydrogen peroxide solution and chlorine gas. It pumps the iodine and lasing process takes place by stimulated emission. Laser power is extracted using cavity. Development of customiz...

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Autores principales: Dohare, Rajeev Kumar, Mainuddin, Verma, Avinash C., Singhal, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606262/
https://www.ncbi.nlm.nih.gov/pubmed/36289426
http://dx.doi.org/10.1038/s41598-022-22667-2
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author Dohare, Rajeev Kumar
Mainuddin
Verma, Avinash C.
Singhal, Gaurav
author_facet Dohare, Rajeev Kumar
Mainuddin
Verma, Avinash C.
Singhal, Gaurav
author_sort Dohare, Rajeev Kumar
collection PubMed
description In flowing medium Chemical Oxygen Iodine Laser (COIL), Singlet oxygen is produced by the exothermic reaction of basic hydrogen peroxide solution and chlorine gas. It pumps the iodine and lasing process takes place by stimulated emission. Laser power is extracted using cavity. Development of customized data acquisition system is essential for measurements and analysis of both fundamental (temperature, pressure, level) as well as derived parameters (lasing medium concentration, flow rates of gases and laser power). The focus of the present paper is to dwell on uncertainty evaluation of a complex gas laser source in terms of ascertaining influences of primary/fundamental variables and corresponding derived parameters along with manner of uncertainty propagation. The study facilitates determining the variables with most significant impact on system performance, critical form point of view from optimal functioning of large-scale systems. This enables prediction of overall system uncertainty potentially extendable to other similar laser systems involving subsystems with mutual interdependencies together being distributed over a significantly large laboratory space. The relative combined uncertainty is computed to be 8.3%. The methodology shows significant potential for true decision-making and control of realistic gas laser source operation using developed 150 channel Data Acquisition and Analysis System (DAAS).
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spelling pubmed-96062622022-10-28 Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser Dohare, Rajeev Kumar Mainuddin Verma, Avinash C. Singhal, Gaurav Sci Rep Article In flowing medium Chemical Oxygen Iodine Laser (COIL), Singlet oxygen is produced by the exothermic reaction of basic hydrogen peroxide solution and chlorine gas. It pumps the iodine and lasing process takes place by stimulated emission. Laser power is extracted using cavity. Development of customized data acquisition system is essential for measurements and analysis of both fundamental (temperature, pressure, level) as well as derived parameters (lasing medium concentration, flow rates of gases and laser power). The focus of the present paper is to dwell on uncertainty evaluation of a complex gas laser source in terms of ascertaining influences of primary/fundamental variables and corresponding derived parameters along with manner of uncertainty propagation. The study facilitates determining the variables with most significant impact on system performance, critical form point of view from optimal functioning of large-scale systems. This enables prediction of overall system uncertainty potentially extendable to other similar laser systems involving subsystems with mutual interdependencies together being distributed over a significantly large laboratory space. The relative combined uncertainty is computed to be 8.3%. The methodology shows significant potential for true decision-making and control of realistic gas laser source operation using developed 150 channel Data Acquisition and Analysis System (DAAS). Nature Publishing Group UK 2022-10-26 /pmc/articles/PMC9606262/ /pubmed/36289426 http://dx.doi.org/10.1038/s41598-022-22667-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dohare, Rajeev Kumar
Mainuddin
Verma, Avinash C.
Singhal, Gaurav
Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title_full Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title_fullStr Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title_full_unstemmed Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title_short Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
title_sort uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606262/
https://www.ncbi.nlm.nih.gov/pubmed/36289426
http://dx.doi.org/10.1038/s41598-022-22667-2
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