Deep learning-based predictions of process parameters for thick composites laminates manufacturing
(2022)
Presentation / Conference
Ammasai Sengodan, G., Hoang Luong, M., & A Ponnusami, S. (2022, September). Deep learning-based predictions of process parameters for thick composites laminates manufacturing
In a composite manufacturing process, the tool geometry and thermal characteristics of the bagging materials dictate the heat transfer mechanism. The temperature distribution, resin chemical kinetics and residual thermal strains determine the cured p... Read More about Deep learning-based predictions of process parameters for thick composites laminates manufacturing.