The Proceedings of the Thermal Engineering Conference
Online ISSN : 2424-290X
2022
Session ID : 33
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Numerical evaluation of concentration regression models for near-infrared imaging of aqueous acid-base reactions
*Gia Ginelle CarandangTakumi SakashitaNaoto Kakuta
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Abstract

The near-infrared region of the aqueous acid-base reaction of formed salts (NaBr, KBr, KCl, and NaCl) by neutralization between 1400-1500 nm (OH band) at microchannels was modeled experimentally and numerically. In this study, aqueous acids (HCl and HBr) and bases (NaOH and KOH) of the same molarity were injected simultaneously in a y-shaped microfluidic channel with a constant flow rate of 0.1mm/s. The neutralization reaction of the aqueous acid-base through the NIR imaging experiment was validated by numerical simulations. The measured near-infrared data of NIR imaging absorbances and wavelengths were used for regression analysis of concentration prediction. Wavelength selection techniques were implemented to reduce experimental data of near-infrared captured absorbance images. The predicted ionic salt concentration by regression and numerical simulation of each chemical reaction shows the effects of acid-base concentration and specific ions on salt generation. The constructed models of both experimental and numerical results were applied for the study of the reaction-diffusion process of acid-base reactions inside microfluidic channels.

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© 2022 The Japan Society of Mechanical Engineers
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