Study on the characteristics of the nuclear reactor coolant pump during the process-divided start-up period

Zhang, Wenqi; Wu, Chang Yu; Yang, Shuai; Huang, Bin; Wu, Dazhuan

doi:10.1016/j.anucene.2022.109381

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Currently, a lot of research works implement robot arms with vision systems to perform specific tasks, e.g. [1], [2]. Zakhama et al [3] used a selective compliance assembly robot arm (SCARA) robot with image processing.…”

Section: Literature Review 21 Review Robot With Vision Systemmentioning

confidence: 99%

“…The reference coordinate of the YuMi robot and the camera are shown in Figures 6(b) and 6(a), respectively. The position of the object in the camera coordinate is shown as (1), where xc, yc, and zc are the distance from the center of the camera to the object in the x, y, and z directions. The position of the object in the robot coordinate is shown as (2), where xb, yb, and zb are the distance from the center of the robot base to the object in the x, y, and z directions.…”

Section: Coordinate Systemmentioning

confidence: 99%

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Pick-and-place application using a dual arm collaborative robot and an RGB-D camera with YOLOv5

Kijdech

Vongbunyong²

2023

IJRA

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Nowadays, many industries use robots and cameras in tandem to detect specific objects and perform specific tasks. However, misdetection can occur due to inconsistencies in lighting, background, and environment. In order to address the aforementioned issues, this study proposes using a dual arm six-degree-of-freedom (6-DoF) collaborative robot, ABB YuMi, and red, green, blue-depth (RGB-D) camera with YOLOv5 in a pick-and-place application. In order to prepare the dataset, the images are collected and labeled. The dataset has been trained with the YOLOv5 machine learning algorithm. It has taken on the role of weight for real-time detection. When RGB images from a camera are sent to YOLOv5, data pertaining to the bottle’s position x-y and color are extracted from the depth and color images. The position of the robot is used to control its movement. There are three parts to the experiment. To begin, YOLOv5 is tested with and without trained images. Second, YOLOv5 is tested with real-time camera images. Finally, we assume that YOLOv5 has perfect detection and grasping ability. The results were 95, 90, and 90%.

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Section: Literature Review 21 Review Robot With Vision Systemmentioning

confidence: 99%

Section: Coordinate Systemmentioning

confidence: 99%

Pick-and-place application using a dual arm collaborative robot and an RGB-D camera with YOLOv5

Kijdech

Vongbunyong²

2023

IJRA

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“…According to the principle of moment balance of cooling circuit, some scholars 8,9 have established the mathematical model of rotation speed and flow change of MCP in the idling process. Based on the transient analysis program RELAP5/MOD3, Zhang L 10 and Turnbull B 11 studied the influence of different inertia on the idling process, and the inertial flow provided by the MCP not only can carry out the residual heat of the core for a short time after power failure, but also helps to establish the subsequent natural circulation. Almost all related papers on the research of the MCP’s idling performance are pressurized water reactors.…”

Section: Introductionmentioning

confidence: 99%

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Zhao

Batlló

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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Lead-cooled fast reactor (LFR) is an important reactor type of the Generation IV nuclear energy, and the main coolant pump (MCP) is the only and most critical power equipment in primary circuit of LFR. The shutdown idling performance of the MCP, is one of the most important safety indicators in the event of a station blackout accident. When the motor loses its power supply, the MCP needs to run under the inertia of the flywheel to ensure the coolant flow for a short time. This study mainly focuses on the idling mathematical model of the MCP under power failure accidents. In this study, taking the shutdown idling performance of the MCP as the optimization goal, the parametric optimization analysis of the impeller and diffuser structure of the MCP was carried out. Specifically, based on the platform ISIGHT, the software of CFturbo, TurboGrid, CFX, Matlab and FLOWMASTER are systematically integrated, the automated 3D modeling, automatic meshing and automatic CFD calculation of different hydraulic model of the MCP are realized. And the neural network mathematical model between the geometric parameters of MCP and the idling performance indicators is established. The study shows that there is a strong linear relationship between the idling performance of the MCP and its head and shaft power, and meridian parameters of Δβ 2, Z 1, Φ 1h and the radial surface parameters of Δβ 1 and Δβ 2, Z 1 and Φ 1h have the greatest impact on the idling performance of MCP.

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A PWR core power control using optimized PID controller with SQP based on control rod positioning and variable coolant flow rate

Salman,

Roman

2024

Annals of Nuclear Energy

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Study on the characteristics of the nuclear reactor coolant pump during the process-divided start-up period

Cited by 3 publications

References 15 publications

Pick-and-place application using a dual arm collaborative robot and an RGB-D camera with YOLOv5

Pick-and-place application using a dual arm collaborative robot and an RGB-D camera with YOLOv5

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

A PWR core power control using optimized PID controller with SQP based on control rod positioning and variable coolant flow rate

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