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Research Papers: Operations, Applications and Components

Optimization of Operation Parameters for Direct Spring Loaded Pressure Relief Valve in a Pipeline System

[+] Author and Article Information
Hyunjun Kim

Department of Environmental Engineering,
College of Engineering,
Pusan National University,
Engineering Building #2,
Busandaehak-ro 63beon-gil,
Geumjeong-gu 46241, Busan, South Korea
e-mail: khj.pnu@gmail.com

Sanghyun Kim

Professor
Department of Environmental Engineering,
College of Engineering,
Pusan National University,
Engineering Building #2,
Busandaehak-ro 63beon-gil,
Geumjeong-gu 46241,
Busan, South Korea
e-mail: kimsangh@pusan.ac.kr

Youngman Kim

President
Prosave,
115-22, Tekeunobaelli 1-ro, Jillye-myeon,
Gimhae-si 50875, Gyeongnam, South Korea
e-mail: ymkim@prosave.co.kr

Jonghwan Kim

Manager
R&D Center, Prosave,
115-22, Tekeunobaelli 1-ro, Jillye-myeon,
Gimhae-si 50875, Gyeongnam, South Korea
e-mail: design@prosave.co.kr

1Corresponding author.

Contributed by the Pressure Vessel and Piping Division of ASME for publication in the JOURNAL OF PRESSURE VESSEL TECHNOLOGY. Manuscript received September 5, 2017; final manuscript received May 20, 2018; published online August 27, 2018. Assoc. Editor: Steve J. Hensel.

J. Pressure Vessel Technol 140(5), 051603 (Aug 27, 2018) (8 pages) Paper No: PVT-17-1176; doi: 10.1115/1.4040361 History: Received September 05, 2017; Revised May 20, 2018

A direct spring loaded pressure relief valve (DSLPRV) is an efficient hydraulic structure used to control a potential water hammer in pipeline systems. The optimization of a DSLPRV was explored to consider the instability issue of a valve disk and the surge control for a pipeline system. A surge analysis scheme, named the method of characteristics, was implemented into a multiple-objective genetic algorithm to determine the adjustable factors in the operation of the DSLPRV. The forward transient analysis and multi-objective optimization of adjustable factors, such as the spring constant, degree of precompression, and disk mass, showed substantial relaxation in the surge pressure and oscillation of valve disk in a hypothetical pipeline system. The results of the regression analysis of surge were compared with the optimization results to demonstrate the potential of the developed method to substantially reduce computational costs.

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References

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Figures

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Fig. 1

Schematic of a DSLPRV. FBP, FIP: fluid forces from inlet and outlet, Fx: spring force of disk lift, FPC: precompression force of the spring, FG: weight of the disk, FA: net force exerted on the valve disk.

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Fig. 2

Flowchart of multi-objective design optimization of DSLPRV

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Fig. 3

Schematic of simple pipeline system with DSLPRV

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Fig. 4

Relationships between surge pressure and valve closing time with and without optimized DSLPRV

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Fig. 5

Temporal variation in pressure head with and without DSLPRV at a distance of 85 m from the upstream reservoir for various valve closing times: (a) 0.25 s, (b) 0.50 s, (c) 0.75 s, (d) 1.00 s, (e) 1.50 s, and (f) 2.00 s

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