Modeling and Optimization of Fiber Optic Chemical Vapor Sensor

Abstract

This paper discusses the application of Box– Behnken Design (BBD) to get a mathematical model for chemical vapor liquid detection with the objective of optimizing the optical fiber optic sensor probe. The parameters of input process were considered as variables to create the output parameters (response) using Response Surface Methodology (RSM). Input parameters such as length of probe, diameter of probe, photo-initiator liquid, vacuum pressure of chamber and purity of liquid detector were processed with Box – Behnken design approach for making POF (plastic optical fiber) probe of chemical sensor. Design Expert software was used to design the experiments with randomized runs. The main aim is to create an equation model as a platform for the probe design of POF chemical vapors detection similar to acetone, ethanol and methanol liquid. The experimental data were processed by considering the input parameters. The contribution of this research is the mathematic equation model that applies the polynomial equation. The final result of the wavelength application was between five to be three wavelengths, 434.05 nm, 486.13 nm and 656.03 nm. These wavelengths are the significant result of optimization measured using three chemical vapors. The optimization process uses the analysis of variables (ANOVA) to produce the quadratic model equation.