Machine learning and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

[HTML][HTML] Ultrasonic welding of fiber reinforced thermoplastic composites: Current understanding and challenges

Y Wang, Z Rao, S Liao, F Wang - Composites Part A: Applied Science and …, 2021 - Elsevier
Ultrasonic welding (USW) provides a cost-efficient method for joining fiber reinforced
thermoplastic composite (FRTP) which is increasingly used in various industries as a kind of …

Modeling ultrasonic welding of polymers using an optimized artificial intelligence model using a gradient-based optimizer

AH Elsheikh, M Abd Elaziz, A Vendan - Welding in the World, 2022 - Springer
In this study, a new hybrid artificial intelligence approach is proposed to model the ultrasonic
welding of a polymeric material blend. The proposed approach is composed of an ensemble …

Investigation of welding repair methods for thermoplastic composite joints

W Li, G Palardy - Composites Part B: Engineering, 2023 - Elsevier
Repair is a common process to extend the service life of composite structures, and there is a
need for techniques compatible with thermoplastic composites (TPCs). As the assembly of …

Ultrasonic welding of fiber-reinforced thermoplastic composites: a review

H Li, C Chen, R Yi, Y Li, J Wu - The International Journal of Advanced …, 2022 - Springer
Ultrasonic welding is a special joining process with high joining speed and good joint
strength. Compared with conventional mechanical and adhesive bonding, ultrasonic …

Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys

D Merayo, A Rodríguez-Prieto, AM Camacho - Materials, 2020 - mdpi.com
In metal forming, the plastic behavior of metallic alloys is directly related to their formability,
and it has been traditionally characterized by simplified models of the flow curves, especially …

Measurement and prediction of driver trust in automated vehicle technologies: An application of hand position transition probability matrix

B Yu, S Bao, Y Zhang, J Sullivan… - … research part C: emerging …, 2021 - Elsevier
Driver trust has a great impact on the intention to accept, use, and adapt to automated
vehicles. To date, driver trust in automated vehicle technologies has mostly been estimated …

Early event detection in a deep-learning driven quality prediction model for ultrasonic welding

B Wang, Y Li, Y Luo, X Li, T Freiheit - Journal of Manufacturing Systems, 2021 - Elsevier
A goal in ultrasonic welding (USW) process monitoring is to accurately predict quality
outcomes based on monitored signals. However, in most cases, knowing only that the USW …

Multifunctional films for thermoplastic composite joints: Ultrasonic welding and damage detection under tension loading

W Li, H Frederick, G Palardy - Composites Part A: Applied Science and …, 2021 - Elsevier
This paper investigates the use of multi-walled carbon nanotube/polypropylene
(MWCNT/PP) films to enable ultrasonic welding and damage detection of glass …

In situ monitoring and penetration prediction of plasma arc welding based on welder intelligence-enhanced deep random forest fusion

D Wu, M Hu, Y Huang, P Zhang, Z Yu - Journal of Manufacturing Processes, 2021 - Elsevier
Online process monitoring and quality control has been a long-standing challenge for
variable polarity plasma arc welding (VPPAW) due to the inherent instability and fluctuation …