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Zaami, Amin
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Topics
Publications (6/6 displayed)
- 2021A fully coupled local and global optical-thermal model for continuous adjacent laser-assisted tape winding process of type-IV pressure vesselscitations
- 2021Optical characterization of fiber-reinforced thermoplastic tapes for laser-based composite manufacturingcitations
- 20203D Numerical modeling of laser assisted tape winding process of composite pressure vessels and pipes-effect of winding angle, mandrel curvature and tape widthcitations
- 2020New process optimization framework for laser assisted tape winding of composite pressure vesselscitations
- 2020Temperature variation during continuous laser-assisted adjacent hoop winding of type-IV pressure vesselscitations
- 2017In-line physics-based model simulation for process modeling of laser tape winding
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article
Temperature variation during continuous laser-assisted adjacent hoop winding of type-IV pressure vessels
Abstract
Laser-assisted tape winding is an automated process to produce tubular or tube-like continuous fiber-reinforced polymer composites by winding a tape around a mandrel or liner. Placing additional layers on a previously heated substrate and variation in material and process parameters causes a variation in the bonding temperature of fiber-reinforced thermoplastic tapes which need to be understood and described well in order to have a reliable manufacturing process. In order to quantify the variation in this critical bonding temperature, a comprehensive temperature analysis of an adjacent hoop winding process of type-IV pressure vessels is performed. A total of five tanks are manufactured in which three glass/HDPE tapes are placed on an HDPE liner. The tape and substrate temperatures, roller force and tape feeding velocity are measured. The coefficient of variation for each round is characterized for the first time. According to the statistical analysis, the coefficient of variation in substrate temperature is found to be approximately 4.8–8.8% which is larger than the coefficient of variation of the tape temperature which is 2.1–7.8%. The coefficient of variations of the substrate temperatures in the third round decrease as compared with the coefficient of variations in the second round mainly due to the change in gap/overlap behavior of the deposited tapes. Fourier and thermographic analysis evince that the geometrical disturbances such as unroundness and eccentricity have a direct effect on the temperature variation. In addition to the temperature feedback control, a real-time object detection technique with deep learning algorithms can be used to mitigate the unwanted temperature variation and to have a more reliable thermal history.