Dwi Hanto
Research Center for Photonics, BRIN - KST BJ HABIBIE, South Tangerang 15314, Indonesia

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Analysis of pressure distribution in cylindrical tube fluid flow using a fiber Bragg grating Annisa Ratna Pertiwi; Saktioto Saktioto; Bambang Widiyatmoko; Dwi Hanto
Indonesian Physics Communication Vol 21, No 2 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.2.109-114

Abstract

Fibre optic sensors have garnered considerable attention from scientists, leading to the extensive use of optical fibres as sensors for monitoring strain and temperature. The increasing adoption of fibre Bragg gratings (FBG) can be attributed to their enhanced sensitivity and rapid transmission speed. The objective of this study is to examine the pressure distribution of FBGs within a cylindrical tube while subjected to vibrations from a loudspeaker and the presence of hot water vapour. The given options were of two scenarios, first scenario had a tube without water vapour and a heart sound, while the second scenario included a tube with water vapour and a heart sound. In this experiment, we strategically placed the FBG at 20 different points along the cylindrical tube to accurately detect strain values at each position. The outcomes derived from these two scenarios illustrate that temperature and air vapour pressure exert an influence on the occurrence of sound, with the highest level of tension found when hot water vapour and heart sounds are present.
Novel approach peak tracking method for FBG: Gaussian polynomial technique Bunga Meyzia; Tengku Emrinaldi; Nadiah Wanara; Dwi Hanto; Bambang Widyatmoko; Agitta Rianaris; Mohamad Syahadi; Haryana Mohd Hairi
Science, Technology, and Communication Journal Vol. 4 No. 3 (2024): SINTECHCOM Journal (June 2024)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v4i3.262

Abstract

This paper presents a novel approach for tracking the peaks in the FBG spectrum using the Gaussian polynomial method. The proposed algorithm involves preprocessing the FBG signal, detecting the peaks, and fitting the peaks with a Gaussian function. The performance of the algorithm is evaluated using both simulated and experimental FBG spectra. This method involves fitting a Gaussian function to the peak of interest and using the fitted parameters to estimate peak height, width, and location. The method is highly accurate and precise and can provide detailed information about peak shape and position, making it effective for tracking complex or overlapping peaks. However, the method can be computationally intensive and may require careful selection of initial parameters to ensure accurate results. Despite these limitations, the Gaussian polynomial method is a powerful tool for peak tracking and analysis in various application.