Modeling and Optimization of Fiber Optic Chemical Vapor Sensor

Authors

  • Budi Mulyanti Department of Electrical Engineering, Faculty of Engineering and Vocational Education, Universitas Pendidikan Indonesia.
  • Harry Ramza Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Prof. Dr. HAMKA, Indonesia.
  • Roer Eka Pawinanto Department of Informatics Engineering, Politeknik Negeri Indramayu, Indonesia.
  • Faizar Abdurrahman Department of Electrical Engineering, Politeknik Negeri Lhokseumawe, Indonesia.
  • Latifah Sarah Supian Department of Electrical Engineering, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia.
  • Norhana Arsad Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia.
  • Mohammad Syuhaimi Ab-Rahman Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia.

Keywords:

Box–Behnken Design, Design–Expert Software, Fiber Optic Chemical Vapor Sensor, MathOptimization Model,

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.

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Published

2017-04-15

How to Cite

Mulyanti, B., Ramza, H., Eka Pawinanto, R., Abdurrahman, F., Supian, L. S., Arsad, N., & Ab-Rahman, M. S. (2017). Modeling and Optimization of Fiber Optic Chemical Vapor Sensor. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2), 73–79. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1110

Issue

Vol. 9 No. 2: April - June 2017

Section

Articles

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