Water Hammer Control Analysis of an Intelligent Surge Tank with Spring Self-Adaptive Auxiliary Control System

Wan, Wei; Zhang, Boran; Chen, Xiaoyi; Lian, Jijian

doi:10.3390/en12132527

Cited by 19 publications

(7 citation statements)

References 27 publications

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“…The performance of the classroom intelligent assistance system proposed here is compared with other research results. Wan et al [26] studied the intelligent voltage regulating device of the adaptive auxiliary control system. They simulated various transient responses with the proposed model under different parameter settings.…”

Section: Resultsmentioning

confidence: 99%

Design of Classroom Intelligent Assistance System under Wireless Network and Deep Learning

Meng

Yang

2022

Wireless Communications and Mobile Computing

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With the development of science and technology, a variety of computer technologies have emerged. The disadvantages of traditional education appear one after another. It is difficult for teachers and students to interact synchronously, and classroom efficiency is not high. Therefore, it is urgent to improve classroom efficiency and the interaction between teachers and students. In this paper, the hardware and software modules are analyzed and studied using wireless network technology, and deep learning convolutional neural network architecture is constructed. The neural network is trained until the optimal model is obtained. The system consists of many scientific front-end technologies. It is a system structure that integrates various information technologies such as computer vision, network communication, wireless sensors, analog electronic technology, and digital electronic technology. The results show that the model generates the most network structures irregularly when the loss rate of hidden nodes is 0.5. Besides, the training effect of the model is the best. In addition, the recognition accuracy of the training dataset can reach 0.98 after the model iteration round is ten. The recognition accuracy of the validation dataset is 0.6. After model iteration, the recognition accuracy can be improved by 8.6%. The performance of the system can be further optimized. In addition, the intelligent assistance system has completed multiple data iterative updates, and the performance of the system can be optimal. The system can ensure the quality of teachers’ teaching, improve the quality of students’ classroom learning, and adjust the classroom atmosphere. This paper has important reference value for enhancing the interaction between teachers and students and improving learning efficiency.

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Section: Resultsmentioning

confidence: 99%

Design of Classroom Intelligent Assistance System under Wireless Network and Deep Learning

Meng

Yang

2022

Wireless Communications and Mobile Computing

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“…The optimal selection of air chamber size was numerically and experimentally studied by Kim et al [12]. The performance of modern water hammer control systems involving surge tanks was analysed by Wan et al in [13,14]. The influence of surge tanks on hydropower plants was studied by Riasi et al [15] and Vereide et al [16].…”

Section: Introductionmentioning

confidence: 99%

Water Hammer Control Using Additional Branched HDPE Pipe

et al. 2021

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In pressurised pipeline systems, various water hammer events commonly occur. This phenomenon can cause extensive damage or even lead to a failure of the pumping system. The aim of this work is to experimentally re-examine the possibility of using an additional polymeric pipe, installed at the downstream end of the main pipeline, to control water hammer. A previous study on this topic investigated additional polymeric pipes connected to the hydraulic system with a short joint section of the same diameter as the main pipeline. In the current research, a different method of including an additional pipe was considered which involved connecting it with a pipe of a smaller diameter than the main pipeline. Three additional HDPE pipes, with different volumes, were investigated. The performance of the devices was studied for hydraulic transients induced by both rapid and slow, manual valve closures. Experimental results show that the additional polymeric pipe can provide significant pressure surge damping during rapid water hammer events. As the valve closing time lengthens, the influence of the additional pipe on the maximum pressure increase is reduced. The additional HDPE pipe does not provide notable protection against hydraulic transients induced by slow valve closure in terms of reducing the first pressure peak. No relationship between the volume of the additional pipe and the damping properties was noticed. The observed pressure oscillations were used to evaluate a one-dimensional numerical model, in which an additional pipe is described as a lumped parameter of the system. The viscoelastic properties of the device were included using the one element Kelvin–Voigt model. Transient flow equations were solved with the implicit method of characteristics. Calculation results demonstrate that this approach allows one to reasonably reproduce unsteady flow oscillations registered during experiments in terms of the maximum pressure increase and pressure wave oscillation period.

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“…In order to numerically solve the set of Equations ( 2) and ( 10), the MacCormack predictor-corrector finite difference explicit scheme was used [20,21]. This method is widely used in computational fluid dynamics [22], but it was only recently adapted to simulate water hammer in elastic pipes by [23] and also successfully used in [24]. In this model, the time step is no longer subjected to the spatial step, and thus, it is more convenient for meshing variable property series pipes than the classic method of characteristics is.…”

Section: Numerical Solution Of Transient Flow Equationsmentioning

confidence: 99%

Hydraulic Transients in Viscoelastic Pipeline System with Sudden Cross-Section Changes

et al. 2021

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It is well known that the water hammer phenomenon can lead to pipeline system failures. For this reason, there is an increased need for simulation of hydraulic transients. High-density polyethylene (HDPE) pipes are commonly used in various pressurised pipeline systems. Most studies have only focused on water hammer events in a single pipe. However, typical fluid distribution networks are composed of serially connected pipes with various inner diameters. The present paper aims to investigate the influence of sudden cross-section changes in an HDPE pipeline system on pressure oscillations during the water hammer phenomenon. Numerical and experimental studies have been conducted. In order to include the viscoelastic behaviour of the HDPE pipe wall, the generalised Kelvin–Voigt model was introduced into the continuity equation. Transient equations were numerically solved using the explicit MacCormack method. A numerical model that involves assigning two values of flow velocity to the connection node was used. The aim of the conducted experiments was to record pressure changes downstream of the pipeline system during valve-induced water hammer. In order to validate the numerical model, the simulation results were compared with experimental data. A satisfactory compliance between the results of the numerical calculations and laboratory data was obtained.

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Water Hammer Control Analysis of an Intelligent Surge Tank with Spring Self-Adaptive Auxiliary Control System

Cited by 19 publications

References 27 publications

Design of Classroom Intelligent Assistance System under Wireless Network and Deep Learning

Design of Classroom Intelligent Assistance System under Wireless Network and Deep Learning

Water Hammer Control Using Additional Branched HDPE Pipe

Hydraulic Transients in Viscoelastic Pipeline System with Sudden Cross-Section Changes

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