Optimization Of Fiber Optic Sensor In Detecting The Condition Of Sunflower Oil For Food Industry Usage By Using Factorial Design

Mat Jahari, Nur Farrahim (2017) Optimization Of Fiber Optic Sensor In Detecting The Condition Of Sunflower Oil For Food Industry Usage By Using Factorial Design. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Optical fiber optic sensors have become one of the most influential technologies in recent engineering communications. The fiber-optic cables have come to be able to deliver large bundles of data transmission at a time, leading to use in other areas of communication. They have the capacity to carry great information, low cost, and wireless communication links. Moreover, the optimum nature of fiber optic sensors to operate is not sufficiently identified. Therefore, this study aims to investigate the optimization of the output power as the sunflower oil condition detectors. The sunflower oil used once, twice and three times with different dimensions was designed through Design Expert software. The effect of properties which are types of fiber, type of light source, and dipping time have been investigated to get the best output in response. The analysis section is carried out by studying the effect of properties by using 23 factorial design methods. Analysis by Design Expert software (DOE) identified that the optimum solution for once used sunflower oil is type of fiber is single mode, type of light source is 1550nm, and dipping time is 20 minutes. This optimum setting is selected to affect the fiber optic sensor to operate with the best output power.

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