Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review

F He, L Yuan, H Mu, M Ros, D Ding, Z Pan… - Robotics and Computer …, 2023 - Elsevier
Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …

Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature

W Cai, JZ Wang, P Jiang, LC Cao, GY Mi… - Journal of Manufacturing …, 2020 - Elsevier
Laser welding has been widely utilized in various industries. Effective real-time monitoring
technologies are critical for improving welding efficiency and guaranteeing the quality of …

Predicting characteristics of dissimilar laser welded polymeric joints using a multi-layer perceptrons model coupled with archimedes optimizer

EB Moustafa, A Elsheikh - Polymers, 2023 - mdpi.com
This study investigates the application of a coupled multi-layer perceptrons (MLP) model
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …

[HTML][HTML] Machine learning and materials informatics approaches for predicting transverse mechanical properties of unidirectional CFRP composites with microvoids

M Li, H Zhang, S Li, W Zhu, Y Ke - Materials & Design, 2022 - Elsevier
The mechanical properties of composites are traditionally measured using numerical and
experimental approaches, which impede the innovation of materials due to the cost, time, or …

The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information …

D Ding, F He, L Yuan, Z Pan, L Wang, M Ros - Journal of Industrial …, 2021 - Elsevier
Abstract Wire Arc Additive Manufacturing (WAAM) has revolutionized the manufacturing
paradigm for fabricating medium to large scale metallic parts featuring high buy-to-fly ratios …

Research on prediction model of geotechnical parameters based on BP neural network

K Cui, X Jing - Neural Computing and Applications, 2019 - Springer
With the vigorous development of the national economy, the pace and scale of urban
construction have been unfolded at an unprecedented speed. A large number of …

Towards sustainable smart cities: An empirical comparative assessment and development pattern optimization in China

X Li, PSW Fong, S Dai, Y Li - Journal of Cleaner Production, 2019 - Elsevier
Dramatically increased societal demands on the municipal services that contradict
environmental protection and information processing capability oriented to resource …

Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks

Z Zhang, B Li, W Zhang, R Lu, S Wada… - Journal of Manufacturing …, 2020 - Elsevier
In this paper, an innovative monitoring system capable of diagnosing the penetration state
during the laser welding process is introduced, which consists of two main blocks: a coaxial …

Research and prospect of welding monitoring technology based on machine vision

X Fan, X Gao, G Liu, N Ma, Y Zhang - The International Journal of …, 2021 - Springer
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …

Temperature error correction based on BP neural network in meteorological wireless sensor network

B Wang, X Gu, L Ma, S Yan - International Journal of …, 2017 - inderscienceonline.com
Using meteorological wireless sensor network (WSN) to monitor the air temperature (AT)
can greatly reduce the costs of monitoring. And it has the characteristics of easy deployment …