Ateeq, M and Shaw, A and Garrett, R and Dickson, P (2016) Feasibility study on using microwave sensing technique to analyse silver-based products. Journal of Electromagnetic Waves and Applications. ISSN 1569-3937
Article_final.pdf - Accepted Version
Restricted to Repository staff only until 21 April 2017.
This paper reports on the feasibility of using a novel and robust microwave sensing technology to detect and analyse various silverbased products such as silver nitrate and silver oxide. The focus of the investigation is to differentiate between the two products, identify the contamination and change in the sample size. A microwave sensor designed previously in house has been utilised to carry out this initial study to analyse the capability of microwave sensing technique to carry out the analysis. The change in the microwave spectra are used as an indicator of the difference in the silver products and any contamination they may have. The results and their detailed repeatability confirm the viability of using microwave sensing technique as a potential method to analyse various silver products. The curves obtained from the material response to microwaves are distinguishable and can be related to the materials’ properties. The study suggests a design and development of a bespoke unit as a dedicated analysis tool and to address any anomalies arising from the current feasibility. This will have a huge industrial benefit in terms of cost reduction and time associated with the industrial analysis.
|Additional Information:||This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Electromagnetic Waves and Applications on 21 Apr 2016 available online: http://dx.doi.org/10.1080/09205071.2016.1172516|
|Uncontrolled Keywords:||0906 Electrical And Electronic Engineering|
|Subjects:||T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
|Publisher:||Taylor & Francis|
|Date Deposited:||22 Apr 2016 09:23|
|Last Modified:||22 Apr 2016 09:23|
|DOI or Identification number:||10.1080/09205071.2016.1172516|
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