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Application of Guided Wave for Pipeline Defect Identification

Poong, Zui Xin (2019) Application of Guided Wave for Pipeline Defect Identification. Final Year Project, UTAR.

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    Abstract

    In plant or factory, the use of pipeline system to deliver different kinds of fluids are very common. It is very important to check the health of pipeline regularly since failure and collapse of pipelines may cost millions or even human life. The main objective of this project is to detect the defect on the pipeline using Guided Wave. GW can be generated using different type of transducers that transform different kind of energy to mechanical stress. The selection of transducer is important to generate GW in a pipe, 3 common transducers use in GW generation are PZT, EMAT and magnetostrictive transducer. These transducers have their own pros and cons. In this study, magnetostrictive transducer is used to generate signal through the pipe. A further research was done in order to build GW actuator using magnetostrictive transducer. Due to the limitation of budget, nickel is chosen as the magnetostrictive material in this study and it is functioning well in this study.In this report, a clear instruction of steps in data acquisition and experimental setup of test rig from sensors to result are shown. The design of GW actuator including the crucial components to build the actuator will be discussed in this study.The model of GW actuator is built in this study according to the design mentioned. Programming software like MATLAB and LABVIEW is used in this study to write and generate desired signal and data acquisition.Three sets of data are taken in this study. The first and second set is taken on a 1.5m long pipe with 6cm and 4 cm artificial defect respectively located at the middle of the pipe. The third set of data is taken at a 36m long pipe with few welded spot and pipe holder that will cause reflection of signal. A minimum propagate distance required to observe both wave modes was calculated and proved in this study.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Divisions: Lee Kong Chian Faculty of Engineering and Science > Bachelor of Engineering (Hons) Mechanical Engineering
    Depositing User: Sg Long Library
    Date Deposited: 05 Aug 2019 18:06
    Last Modified: 05 Aug 2019 18:06
    URI: http://eprints.utar.edu.my/id/eprint/3473

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