ENBIS-24 Leuven Conference

Session

AI in Industry 3

18 Sept 2024, 10:05

Leuven, Belgium

Conveners

AI in Industry 3

• Efoevi Angelo Koudou (Université de Lorraine)

25. Estimating the heating duration of composite parts in the autoclave curing process using regression and artificial neural networks

Tuğçe Yücel (Hacettepe University)

18/09/2024, 10:05

AI in Industry

The use of composite materials has been increasing in all production industries including the aviation industry, due to their strength, lightness, and design flexibility. The manufacturing of composite materials finalizes with their curing in the autoclaves that are heat and pressure ovens. The autoclave curing cycle, in which a batch of materials is cured in the autoclave, is made of three...

69. Process Analytics Technology (PAT) modeling using linear and non-linear convolutional approaches

Tiago Rato (Department of Chemical Engineering, University of Coimbra)

18/09/2024, 10:25

Machine Learning

Waste lubricant oil (WLO) is a hazardous residual that is preferably recovered through a regeneration process, for promoting a sustainable circular economy. WLO regeneration is only viable if the WLO does not coagulate in the equipment. Thus, to prevent process shutdowns, the WLO’s coagulation potential is assessed offline in a laboratory through an alkaline treatment. This procedure is...

93. Automatic Detection of Destruction and Freshness in Anchovy (Engraulis ringens) Using Informal Photos

Miguel Angel Rodriguez Anticona (TASA)

18/09/2024, 10:45

Machine Learning

In the fishing industry, maintaining the quality of fish such as the Peruvian anchovy (Engraulis ringens), used primarily for fishmeal and oil, is critical. The condition and freshness of the fish directly influence production outcomes and the final product's quality. Traditional methods for assessing fish freshness, though precise, are often too costly and time-consuming for frequent...