Searched for: subject%3A%22Inline%255C+inspection%22
(1 - 8 of 8)
document
Yarveisy, R. (author), Khan, Faisal (author), Abbassi, Rouzbeh (author)
This paper presents a data-driven approach to predict the pipelines’ corrosion-induced Burst failure. In this approach, different aspects of pit growth progression and spatial distribution of pits are simulated. The proposed approach takes advantage of population characteristics to model these aspects of the degradation paths for each pipe...
journal article 2024
document
Meister, S. (author), Wermes, Mahdieu A.M. (author), Stüve, Jan (author), Groves, R.M. (author)
The aerospace industry has established the Automated Fiber Placement process as a common technique for manufacturing fibre reinforced components. In this process multiple composite tows are placed simultaneously onto a tool. Currently in such processes manual testing requires often up to 50% of the manufacturing duration. Moreover, the...
review 2021
document
Meister, S. (author), Möller, Nantwin (author), Stüve, Jan (author), Groves, R.M. (author)
In the aerospace industry, the Automated Fiber Placement process is an established method for producing composite parts. Nowadays the required visual inspection, subsequent to this process, typically takes up to 50% of the total manufacturing time and the inspection quality strongly depends on the inspector. A Deep Learning based...
journal article 2021
document
Meister, S. (author), Stüve, Jan (author), Groves, R.M. (author)
Automated fibre layup techniques are often applied for the production of complex structural components. In order to ensure a sufficient component quality, a subsequent visual inspection is necessary, especially in the aerospace industry. The use of automated optical inspection systems can reduce the inspection effort by up to 50 %. Laser line...
journal article 2021
document
Meister, S. (author), Wermes, Mahdieu (author), Stueve, J. (author), Groves, R.M. (author)
In the aerospace industry, automated fibre laying processes are often applied for economical composite part fabrication. Unfortunately, the current mandatory visual quality assurance process takes up to 50% of the entire manufacturing time. An automised classification of manufacturing deviations using Neural Networks potentially improves the...
journal article 2021
document
Meister, S. (author), Wermes, Mahdieu A.M. (author), Stuve, Jan (author), Groves, R.M. (author)
Automated fibre layup techniques are commonly used composite manufacturing processes in the aviation sector and require a manual visual inspection. Neural Network classification of defects has the potential to automate this visual inspection, however, the machine decision-making processes are hard to verify. Thus, we present an approach for...
conference paper 2021
document
Meister, S. (author), Grundhöfer, Lars (author), Stüve, Jan (author), Groves, R.M. (author)
Automated Fibre Placement is a common manufacturing technique for composite parts in the aero-space industry. Therefore, a visual part inspection is required which often covers up to 50% of the actual production time. Moreover, the inspection quality of this manual step fluctuates significantly. A camera-based automated inline inspection is...
journal article 2021
document
Meister, S. (author), Wermes, Mahdieu Amin Mahdieu (author), Stüve, Jan (author), Groves, R.M. (author)
The Automated Fiber Placement process is established in the aerospace industry for the production of composite components. This technique places several narrow material strips in parallel. Within current industrial Automated Fiber Placement processes the visual inspection takes typically up to 50% of overall production time. Furthermore,...
conference paper 2020
Searched for: subject%3A%22Inline%255C+inspection%22
(1 - 8 of 8)