Abstract:
Spark optical emission spectrometer (OES) is a widely used technique in identifying alloy
compositions of metals. Based on the OES principle, a low-cost spark, portable and fully automated
spark optical emission spectrometer was developed. A 1000kV ultra-high voltage arc generator coil
module was used as the excitation source and a CMOS (complementary metal-oxide
semiconductor) image sensor was used as the spectral detector in this spark OES. Data collection
and interfacing was done through a Raspberry Pi Single-board Computer. Analysis of wavelength
and intensity data were performed using an algorithm coded in python programming language. The
program presents the alloy elements and their quantities. Three main factors that limits the
precision and accuracy of results were identified as the excitation source, the resolving powers of
the spectrometer and the electronic noise characteristics of the systems.
Citation:
Gunerathne, M.G.G.M., Karunasena, D.B.T.K., Attygalle, D., & Amarasinghe, D.A.S. (2017). Development of spark emission spectrometer to identify an alloy
[Abstract]. In V. Sivahar (Ed.), Leveraging materials for a smart future (p. 6). Society of Mechanical Engineering Students, Department of Materials Science and Engineering, University of Moratuwa.
