Application of flow field decomposition and reconstruction in studying and modeling the characteristics of a cartridge valve

Kong, Lingwei; Wei, Wei; Yan, Qingdong

doi:10.1080/19942060.2018.1438925

Cited by 16 publications

(15 citation statements)

References 21 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been shown that changing the geometrical features of the flow paths of a trim, significantly influences its flow capacity. Kong et al [16] analysed the flow field decomposition and its reconstruction for modelling the hydrodynamic characteristics of a valve. The transient flow fields have been reconstructed using Proper Orthogonal Decomposition (POD).…”

Section: Figure 1 Different Components Of a Control Valvementioning

confidence: 99%

Effects of the geometrical features of flow paths on the flow capacity of a control valve trim

Asim

Mishra

Oliveira-Jr

et al. 2019

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Control valves are an integral part of a number of energy systems, such as those used in chemical and nuclear industries. These valves are used to regulate the amount of fluid flow passing through these systems. A key component of a control valve is its trim, which in case of a multi-stage continuous-resistance trim consists of a staggered arrangement of columns.Flow passing through the channels formed between adjacent columns (also called as flow paths), loses a significant amount of its energy and regulates the pressure field. As the geometrical features of these flow paths dictate the flow capacity of the trim, systematic investigations have been carried out to analyse the complex flow behaviour within these flow paths. Well-verified computational fluid dynamics based solver has been used to investigate the effects of the geometrical features of flow paths on the flow capacity of the trim, at various valve opening positions. It has been noticed that reducing the size of flow paths increases the flow capacity of the trim, however, at a critical flow path size, the inherent opening characteristics of a trim have been observed to alter. In order to recover the original opening behaviour of the trim, careful manipulation of the flow paths is required, which has been successfully achieved in the present investigation.

show abstract

Section: Figure 1 Different Components Of a Control Valvementioning

confidence: 99%

Effects of the geometrical features of flow paths on the flow capacity of a control valve trim

Asim

Mishra

Oliveira-Jr

et al. 2019

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Compared with conventional valves, cartridge valves have many features, such as low-cost, leak-free, and large-flow capacity, which make them widely used in industrial and mobile machinery. 22 However, the pilot stage and power stage of conventional EHSV are placed parallelly because of its structure limitation, so that the cartridge design of conventional EHSV only involves the power stage, resulting in the improvement of PWR being limited. On the contrary, the pilot stage and power stage of 2D EHSV are integrated on the same spool, so that it will achieve a more comprehensive cartridge design.…”

Section: Introductionmentioning

confidence: 99%

Theoretical and experimental research on the cartridge two-dimensional (2D) electro-hydraulic servo valve

Zheng

Sheng

Ding

et al. 2021

Advances in Mechanical Engineering

View full text Add to dashboard Cite

A cartridge 2D EHSV based on torque motor is proposed in this paper, which is keeping the advantages of conventional 2D valve, such as compact structure, high power-to-weight ratio, and excellent dynamic characteristics. In order to explore its dynamic characteristics, the design concept and operating principle of the cartridge 2D EHSV valve is presented first. Then the mathematical model of cartridge 2D EHSV valve is derived, especially the rotational viscous damping coefficient which is studied in detail. The simulation results of the open(closed)-loop model show that the support pressure plays an insignificant role in the dynamic characteristics of 2D EHSV, only the phase bandwidth of the closed-loop model increases. And the rise time of the open-loop model is about 10 ms, and the frequency bandwidth is about 40 Hz, while the rise time is about 4 ms and the frequency bandwidth is about 100 Hz of the closed-loop model. Furthermore, as verified by experimental results, the rising time of the step response is about 7 ms and the bandwidth is approximately 38 Hz under the open-loop control, while that is 6 ms and 117 Hz for 25% input signal under the close-loop control. Finally, the difference between the experiment and the simulation is discussed. It is concluded that the cartridge 2D EHSV has excellent dynamic characteristics.

show abstract

“…Finite volume method was used to discretize the control equations. The standard k − ε model was used as the turbulence model [23]. The main parameters of the hydrodynamic retarder are listed in Table 1.…”

Section: A Controllable Regionmentioning

confidence: 99%

A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process

et al. 2021

Self Cite

View full text Add to dashboard Cite

Excessively high brake temperature of hydrodynamic retarders may lead to brake fading and failure, resulting in a decrease in brake effectiveness. However, the temperature performance modeling of hydrodynamic retarders is a challenge because of the non-linear characteristics of the system. In this study, a temperature model based on an artificial neural network is constructed to predict the temperature performance of a hydrodynamic retarder in constant-torque braking process. The model is developed from a back-propagation neural network trained with the Levenberg-Marquardt algorithm. Before the application of the neural network, computational fluid dynamics is used to obtain the controllable region where experimental tests were performed to collect data for neural network training and validation. The linear regression method is adopted to check the quality of the training. It is shown that the constructed backpropagation neural network model is within 98% accuracy. Furthermore, the temperature model of the hydrodynamic retarder, which consists of the back-propagation neural network and thermal balance models, is simulated for 1500N•m, 2000N•m, and 2500N•m constant-torque braking processes. The simulation results are in agreement with experimental data within 2.87% error. The proposed temperature model can predict the temperature of the hydrodynamic retarder accurately and provide theoretical guidance for brake control strategy and thermal management. INDEX TERMS Hydrodynamic retarder, back-propagation neural network, constant-torque braking, temperature performance.

show abstract

Application of flow field decomposition and reconstruction in studying and modeling the characteristics of a cartridge valve

Cited by 16 publications

References 21 publications

Effects of the geometrical features of flow paths on the flow capacity of a control valve trim

Effects of the geometrical features of flow paths on the flow capacity of a control valve trim

Theoretical and experimental research on the cartridge two-dimensional (2D) electro-hydraulic servo valve

A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process

Contact Info

Product

Resources

About