Abstract

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).

Details

Title
Uncertainty evaluation of data acquisition and analysis system relevant to infrared flowing medium laser
Author
Dohare, Rajeev Kumar 1   VIAFID ORCID Logo  ; Mainuddin 2   VIAFID ORCID Logo  ; Verma, Avinash C. 3   VIAFID ORCID Logo  ; Singhal, Gaurav 3   VIAFID ORCID Logo 

 DIT&CS, DRDO, New Delhi, India (GRID:grid.418551.c) (ISNI:0000 0004 0542 2069) 
 Jamia Millia Islamia, Department of Electronics and Communication Engg., New Delhi, India (GRID:grid.411818.5) (ISNI:0000 0004 0498 8255) 
 CHESS, DRDO, Hyderabad, India (GRID:grid.411818.5) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2728850289
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.