A physical model and data-driven hybrid prediction method towards quality assurance for composite components

Volume: 70, Issue: 1, Pages: 115 - 118
Published: Jan 1, 2021
Abstract
Since composite components have been used in many fields with high-performance requirements, their quality is always of great concern. During production, improving temperature uniformity of the mold, which has close contact with the composites, is critical for reducing component deformation. However, the bottleneck is realizing the rapid and accurate prediction for the mold temperature distribution. Therefore, this paper designs a new hybrid...
Paper Details
Title
A physical model and data-driven hybrid prediction method towards quality assurance for composite components
Published Date
Jan 1, 2021
Volume
70
Issue
1
Pages
115 - 118
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