On Intelligentized Welding Manufacturing

Chen, Shanben

doi:10.1007/978-3-319-18997-0_1

Cited by 18 publications

(5 citation statements)

References 70 publications

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“…But the majority of welding robots continue to operate using manual teaching methods. In the actual welding process, the errors of equipment, preprocessing process, and environmental factors must be considered, and weld identification and defect detection still rely on manual examination and training [3]. Aimed at these problems, the application of different sensing technologies has made intelligent robotic welding possible [4].…”

Section: Introductionmentioning

confidence: 99%

Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Xu,

Liu,

et al. 2024

JMMP

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Arc welding is the common method used in traditional welding, which constitutes the majority of total welding production. The traditional manual and manual teaching welding method has problems with high labor costs and limited efficiency when faced with mass production. With the advancement in technology, intelligent welding technology is expected to become a solution to this problem in the future. To achieve the intelligent welding process, modern sensing technology can be employed to effectively simulate the welder’s sensory perception and cognitive abilities. Recent studies have advanced the application of sensing technologies, leading to the advancement in intelligent welding process. The review is divided into two aspects. First, the theory and applications of various sensing technologies (visual, sound, arc, spectral signal, etc.) are summarized. Then, combined with the generalization of neural networks and attention mechanisms, the development trends in welding sensing information processing and modeling technology are discussed. Based on the existing research results, the feasibility, advantages, and development direction of attention mechanisms in the welding field are analyzed. In the end, a brief conclusion and remarks are presented.

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Section: Introductionmentioning

confidence: 99%

Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Xu,

Liu,

et al. 2024

JMMP

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“…An intelligent welding robot is a small part of intelligent welding manufacturing technology framework, coordinated at this stage by intelligent welding advancements, and it was developed with working together positioners [5][6][7]. The adaptive image processing method was utilized for different sorts of weld seams.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Robotic Welding Based on a Computer Vision Technology Approach

et al. 2022

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Robots have become an essential part of modern industries in welding departments to increase the accuracy and rate of production. The intelligent detection of welding line edges to start the weld in a proper position is very important. This work introduces a new approach using image processing to detect welding lines by tracking the edges of plates according to the required speed by three degrees of a freedom robotic arm. The two different algorithms achieved in the developed approach are the edge detection and top-hat transformation. An adaptive neuro-fuzzy inference system ANFIS was used to choose the best forward and inverse kinematics of the robot. MIG welding at the end-effector was applied as a tool in this system, and the weld was completed according to the required working conditions and performance. The parts of the system work with compatible and consistent performances, with acceptable accuracy for tracking the line of the welding path.

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“…Welding processes and systems play an important role in modern industrial production lines and are widely used in automotive processing, shipbuilding, marine engineering, etc. [1][2][3]. As shown in Figure 1, welding systems have gone through several stages of development [4].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the evaluation of the welding state and the diagnosis of welding quality are carried out. Therefore, the intelligentized welding manufacturing system proposes the following three corresponding technical means [1][2][3]13,14]: (1) Use advanced sensors to obtain a large amount of accurate welding process information; (2) Use effective signal processing and characterization algorithms to extract sufficient perceptual information features; (3) Model the welding process and establish the relationship between characteristics and sensing targets. Welding processes and systems play an important role in modern industrial production lines.…”

Section: Introductionmentioning

confidence: 99%

Key Technology of Intelligentized Welding Manufacturing and Systems Based on the Internet of Things and Multi-Agent

Liu

Chen

2022

JMMP

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With the development of the Internet of Things (IoT), Big Data, Artificial Intelligence technology, and the emergence of modern information technologies such as intelligent manufacturing, welding systems are changing, and intelligentized welding manufacturing and systems (IWMS) utilizing these technologies are attracting attention from both academia and industry. This paper investigates sensing technology, multi-information sensor fusion technology, feature recognition technology, the quality prediction method, control method, and intelligent welding production line application in the IWMS. Combining IoT technology and multi-agent systems, a hierarchical structure model welding manufacturing system (IoT-MAS) in the form of “leader-following” was constructed. The multi-agent welding manufacturing system has the advantages of distribution, intelligence, internal coordination and so on. The IoT-MAS consists of several sub-agents, which are divided into five categories according to their functions and internal processing logic. Combined with the functions of the intelligent welding manufacturing system, the agent structure of the whole welding process was proposed, and the matching communication technology and algorithm were designed. The intelligent welding manufacturing system based on IoT-MAS proposed in this paper can effectively solve the integrated design problem of large welding manufacturing systems.

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On Intelligentized Welding Manufacturing

Cited by 18 publications

References 70 publications

Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Intelligent Robotic Welding Based on a Computer Vision Technology Approach

Key Technology of Intelligentized Welding Manufacturing and Systems Based on the Internet of Things and Multi-Agent

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