CD Disertasi
Perancangan Sistem Konverter Fotodioda Ingaas Dan Fabrikasi Serat Kisi Bragg Uniform Dan Chirping Untuk Pengembangan Sensor Medis
Fiber Bragg Grating (FBG) is an optical fiber with periodically varying refractive index due to a periodic lattice structure at a spesific distance. They belong to a special group of optical fibers used to identify physical characteristics such as strain and temperature. FBG has experienced significant advancements and are now being utilized as sensors in structural health monitoring This is attributed to their compact size, high sensitivity and resistance to electromagnetic interference.
FBGs exhibit different lattice variations, including uniform lattice variation and lattice variation with linearly varying spacing (Chirping). FBGs are fabricated from Silicon Dioxide (SiO2). The utilized spectrum falls within the range of 1550 nm. Following enhancements, FBGs are further developed by integrating optical sensor and electrical sensors. This research utilizes InGaAs photodiodes as an infrared detectors due to their effective spectrum detection capabilities. The research begins with detection of spectrum changes using multiple optical instruments. This is conducted to monitor wavelength variations during each detection, thereby ensuring the preservation of the accuracy of the optical instruments.
The objective of this research is to advance optoelectronic sensor technology through the integration of FBGs and photodiodes. The research is initiated by examining the linearity of each individual FBG. The linearity generates wavelength variations in response to voltage. A greater linearity value implies that FBGs operating within the 1550 nm wavelength range exhibit superior suitability as optoelectronic sensor components. The obtained linearity in this research ranges from 0.9 to 0.95. These findings allow for the conclusion that FBGs with a wavelength range of 1550 nm demonstrate excellent quality as optoelectronic sensors. Subsequently, this study progressed by transforming optical output data into electrical output data using a Data Acquisition (DAQ) system. The acquired conversion results were captured using LabVIEW, one of the data acquisition programming tools.
The outcomes of this spectrum conversion demonstrate a correlation between the wavelength value as a function of input voltage and the applied voltage. These values yield the detection of spectral peaks with minor wavelength variations, achieved through peak wave detection utilizing optical instruments. Improved linearity of the wavelength detected by the photodiode leads to higher quality reflectivity spectrum generation. This is attributed to the conversion of light waves acting as photons into electrons, enabling LabVIEW to display the shape of the reflectivity spectrum. An increased photon count corresponds to a higher electron yield, thereby enhancing the accuracy of the reflectivity spectrum. This leads to small wavelength variations and a narrow Full Width at Half Maximum (FWHM)
Tidak tersedia versi lain