Data-Driven Welding Expert System Structure Based on Internet of Things

Chen, Chao; Lv, Na

doi:10.1007/978-981-10-8330-3_3

Cited by 13 publications

(3 citation statements)

References 33 publications

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“…Chen.C [27] proposed a cloud based expert system for fusion welding systems, where the welding requirements are uploaded the cloud and the expert system analyses the inputs and gives the feedback to the user in real time with -Welding procedure document‖ (WPS) which is fed to the multi-sensor that detects and feeds the inputs to the automated welding cell thereby resulting in production of defect free welds. Haffner Oto et.al [28] tested a web based algorithm in laboratory scale to evaluate the weld quality based on the weld seam edge detection and its hologram projection through cloud.…”

Section: Case Studies On Implementation Of Cloud Services In Welding mentioning

confidence: 99%

Future Factories – Automated Welding Cell based on Cloud Computing Technology

Suryanarayanan¹,

Sridhar²

2018

EAI Endorsed Transactions on Cloud Systems

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The advent of cloud technology, machine learning and internet of things (IoT) has foreseen the possibility of completely autonomous factories. Future shop-floor operations are completely automated and controlled by cloud-based manufacturing system. The researchers have made an attempt to use cloud computing to share the welding parameters and maintain a virtual library for ready reference irrespective of the user location. The automated welding cell is a friction stir welding (FSW) machine and its parameters were used as the reference for the cloud database. Cloud database is built by collecting information from several welders and researchers who are working in the various part of the world. The proposed Machine controls as service, MCaaS reduces the downtime of the weld cell by real-time monitoring and also assist the researchers in real-time data sharing among them, irrespective of their geographical location.

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Section: Case Studies On Implementation Of Cloud Services In Welding mentioning

confidence: 99%

Future Factories – Automated Welding Cell based on Cloud Computing Technology

Suryanarayanan¹,

Sridhar²

2018

EAI Endorsed Transactions on Cloud Systems

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“…Gao et al [4] have begun to study the impact of welding residual stress on natural frequencies at an early stage. Chen and Ye [5] derived the influence of welding residual stress on the stiffness matrix, indicating that welding residual stress will change the natural frequencies of structures. The above studies mainly focus on simple structures with prestress, such as thin plates, but there are still few studies on the vibration characteristics of repaired compressor blades with residual stress.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Residual Stresses and Structural Vibration of Welding Repaired Blades

Zhang,

Luo,

Liang

2024

J. Phys.: Conf. Ser.

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Taking a typical aero-engine high-pressure compressor blade as the research object, the Gauss heat source was used to numerically simulate the repair process of blade surfacing welding. The temperature data and stress data of the blade were obtained when the heat source velocity was 1 mm/s, 2 mm/s, and 4 mm/s, respectively. The results showed that both the temperature and stress values decreased with the heat source velocity increasing. Then, the residual stress of the repaired blade is introduced into the modal analysis module as prestress, and the Campbell diagram is drawn to analyze the natural frequency and speed margin of the blade respectively. The results show that as the heat source speed increases, the frequencies of each order of the blade decrease. The speed margin of each resonance point is greater than 10%, and the modal dynamic stress corresponding to the resonance speed can be used as the primary criterion for blade failure.

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“…However, since the welding quality in the arc welding processes depends on the skill of the operator, there is a limit to ensuring good welding quality and improving productivity. To solve the inevitable working environment problems in arc welding process such as harmful gas, dust, and strong arc, research on the construction of an automated welding system using a robot or other welding equipment has been actively conducted recently [2][3][4][5][6][7] . The back-bead refers to a weld bead formed on the back side of the weld joint.…”

Section: Introductionmentioning

confidence: 99%

Weldability of Aluminum Alloy and Hot Dip Galvanized Steel by AC Pulse MIG Brazing

Kwon

Sol-Choi

Yoon

et al. 2021

Journal of Welding and Joining

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An automated welding system is essential to ensure a stable and good welding quality and improve productivity in the gas metal arc welding (GMAW) process. Therefore, various studies have been conducted on the establishment of smart factories and the demand for good weldability in the fields of production and manufacturing. In shipbuilding welding and pipe welding, the uniformly generated back-bead is an important criterion for judging the mechanical properties and weldability of the welded structure, and is also an important factor that enables the realization of an automated welding system. Therefore, in this study, the welding current signal measured in real-time in the GMAW process was pre-processed by a short time Fourier transform (STFT) to obtain a time-frequency domain feature image (spectrogram). Based on this, a back-bead generation detection algorithm was developed. To accelerate the training speed of the proposed convolution neural network (CNN) model, we used non-saturating neurons and a highly efficient GPU implementation of the convolution operation. As a result of applying the proposed detection model to actual welding process, the detection accuracies with and without the back-bead regions were 95.8% and 94.2%, respectively, which confirmed the excellent classification performance for back-bead generation.

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Data-Driven Welding Expert System Structure Based on Internet of Things

Cited by 13 publications

References 33 publications

Future Factories – Automated Welding Cell based on Cloud Computing Technology

Future Factories – Automated Welding Cell based on Cloud Computing Technology

Numerical Simulation of Residual Stresses and Structural Vibration of Welding Repaired Blades

Weldability of Aluminum Alloy and Hot Dip Galvanized Steel by AC Pulse MIG Brazing

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