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Analysis on passing characteristics of gas valve using AE

Azman, Marrisa (2021) Analysis on passing characteristics of gas valve using AE. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Valve passage research covers the inspection of internal valve leaks, such as the detection of internal leaking from a closed valve utilizing meaning signals. Crack research involves fatigue fracture propagation in steels and crack categorization in concrete structures. Corrosion activities in structures, such as the identification of corrosion sources, categorization of corrosion sources in a noisy environment, and early detection of corrosion in structures, are also included in these studies for corrosion research. Passing characteristics of a gas valve is studied by using Lab VIEW simulation software. The AMSY-6 system, a completely digital multi-channel AB-measurement system from Vallen, was utilized in the research to listen to the produced AE signal in the valve. It has an 18 bit data acquisition card for precise results. This equipment was set up with a sampling rate of 5 MHz and a band pass filter with a frequency range of 95 kHz to 300 kHz. Seven of the 38 channels were utilized to extract AE data, which included RMS and peak amplitude, in order to detect the leaking signal. The research was carried out on a gate valve that was installed on a 4 inch pipe that controlled the flow of inert gases such as nitrogen, carbon dioxide, or argon. The research results show that an acoustic emission approach was used to detect internal leakage in a gas valve. For both open and closed valve states, RMS and peak amplitude characteristics were measured. The results show that the RMS parameter is sensitive in monitoring leakage signals in a gas valve, and that statistical analysis on peak amplitude data can enhance the identification of an internal leak.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Valves, Valves, Testing
Subjects: T Technology > TS Manufactures
Divisions: Library > Final Year Project > FKM
Depositing User: Sabariah Ismail
Date Deposited: 30 Jun 2022 08:55
Last Modified: 30 Jun 2022 08:55
URI: http://digitalcollection.utem.edu.my/id/eprint/26460

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