DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM
Transient flow control in Water Transmission Systems (WTS) is one of the requirements of designing these systems. Hence, among control equipment, air chambers offer the best solution to control transient flow effects, i.e. both prevents water column separation and absorbs pressure increase. It is es...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Society of Polish Mechanical Engineers and Technicians
2016-09-01
|
Series: | Advances in Science and Technology Research Journal |
Subjects: | |
Online Access: | http://www.journalssystem.com/astrj/Designing-Hydraulic-Air-Chamber-in-Water-Transmission-Systems-Using-Genetic-Algorithm,62119,0,2.html |
id |
doaj-e2a5fb6c6b6442f2965dec6dd4c11ffa |
---|---|
record_format |
Article |
spelling |
doaj-e2a5fb6c6b6442f2965dec6dd4c11ffa2020-11-24T23:26:44ZengSociety of Polish Mechanical Engineers and TechniciansAdvances in Science and Technology Research Journal2080-40752299-86242016-09-0110311710.12913/22998624/6211962119DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHMAbdorahim Jamal0Mohsen Najarchi1S. Mohammad Mehdi Najafi Zade2Department of Civil Engineering, Islamic Azad University, Arak Branch, Arak, IranDepartment of Civil Engineering, Islamic Azad University, Arak Branch, Arak, IranDepartment of Mechanic Engineering, Islamic Azad University, Arak Branch, Arak, IranTransient flow control in Water Transmission Systems (WTS) is one of the requirements of designing these systems. Hence, among control equipment, air chambers offer the best solution to control transient flow effects, i.e. both prevents water column separation and absorbs pressure increase. It is essential to carry out an accurate and optimized design of air chambers, not only due to high costs of their manufacturing but also their important protective role. Accordingly, hydraulic design parameters comprise tank volume, diameter of nozzle and coefficients of inflow and outflow of nozzle. In this paper, it is intended to optimize these parameters in order to minimize manufacturing costs. On the other hand, maximum and minimum pressures in main pipeline are considered as constraints which shall fall in allowed range. Therefore, a model has been developed which is a combination of a hydraulic simulation model of WTS and an optimization model based on genetic algorithm. This model is first applied to WTS of Dehgolan-Ghorveh plain as a case study. Results of this research demonstrate that based on suggested model, negative wave creation and pressure increase in pipeline is prevented as well as decrease in manufacturing costs of air chamber.http://www.journalssystem.com/astrj/Designing-Hydraulic-Air-Chamber-in-Water-Transmission-Systems-Using-Genetic-Algorithm,62119,0,2.htmlwater transmissiontransient flowgenetic algorithmair chamberwater hammercavitation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abdorahim Jamal Mohsen Najarchi S. Mohammad Mehdi Najafi Zade |
spellingShingle |
Abdorahim Jamal Mohsen Najarchi S. Mohammad Mehdi Najafi Zade DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM Advances in Science and Technology Research Journal water transmission transient flow genetic algorithm air chamber water hammer cavitation |
author_facet |
Abdorahim Jamal Mohsen Najarchi S. Mohammad Mehdi Najafi Zade |
author_sort |
Abdorahim Jamal |
title |
DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM |
title_short |
DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM |
title_full |
DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM |
title_fullStr |
DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM |
title_full_unstemmed |
DESIGNING HYDRAULIC AIR CHAMBER IN WATER TRANSMISSION SYSTEMS USING GENETIC ALGORITHM |
title_sort |
designing hydraulic air chamber in water transmission systems using genetic algorithm |
publisher |
Society of Polish Mechanical Engineers and Technicians |
series |
Advances in Science and Technology Research Journal |
issn |
2080-4075 2299-8624 |
publishDate |
2016-09-01 |
description |
Transient flow control in Water Transmission Systems (WTS) is one of the requirements of designing these systems. Hence, among control equipment, air chambers offer the best solution to control transient flow effects, i.e. both prevents water column separation and absorbs pressure increase. It is essential to carry out an accurate and optimized design of air chambers, not only due to high costs of their manufacturing but also their important protective role. Accordingly, hydraulic design parameters comprise tank volume, diameter of nozzle and coefficients of inflow and outflow of nozzle. In this paper, it is intended to optimize these parameters in order to minimize manufacturing costs. On the other hand, maximum and minimum pressures in main pipeline are considered as constraints which shall fall in allowed range. Therefore, a model has been developed which is a combination of a hydraulic simulation model of WTS and an optimization model based on genetic algorithm. This model is first applied to WTS of Dehgolan-Ghorveh plain as a case study. Results of this research demonstrate that based on suggested model, negative wave creation and pressure increase in pipeline is prevented as well as decrease in manufacturing costs of air chamber. |
topic |
water transmission transient flow genetic algorithm air chamber water hammer cavitation |
url |
http://www.journalssystem.com/astrj/Designing-Hydraulic-Air-Chamber-in-Water-Transmission-Systems-Using-Genetic-Algorithm,62119,0,2.html |
work_keys_str_mv |
AT abdorahimjamal designinghydraulicairchamberinwatertransmissionsystemsusinggeneticalgorithm AT mohsennajarchi designinghydraulicairchamberinwatertransmissionsystemsusinggeneticalgorithm AT smohammadmehdinajafizade designinghydraulicairchamberinwatertransmissionsystemsusinggeneticalgorithm |
_version_ |
1725553834546167808 |