journal article·2020-01

Numerical investigation of the effect of thermal gradients on curing performance of autoclaved laminates

Qing Wang, Lingyun Wang, Weidong Zhu, Qiang Xu, Yinglin Ke

Journal of Composite Materials· Volume 54· Issue 1
Publisher page

Abstract

Autoclave curing process is one of the most frequently used manufacturing techniques of thermosetting composite materials. An efficient curing process requires good understanding of the thermal behavior of molds and composites during autoclave processing. In this paper, the effect of thermal gradients on curing performance of laminates is investigated through numerical approaches. In the first section, a computational fluid dynamics–finite element method numerical model is established to simulate the temperature field and the process-induced deformation of laminates. Then, a curved composite part with two different structures of mold is introduced to exhibit different temperature and degree of cure gradients during the autoclave process. Furthermore, by analyzing the position errors of measurement points, the deformation of the composite parts in different molds is evaluated. The results suggested that more synchronous curing process and less deformation of the composite part can be achieved by reducing the thermal gradients. In this specific case of a curved part, the range of position errors in X direction (the length direction) is reduced by 86.9% with the redesigned mold.
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Research context

OpenAlex topics: Epoxy Resin Curing Processes · Injection Molding Process and Properties · Mechanical Behavior of Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Fluid Power and Mechatronic System, School of Mechanical Engineering, Zhejiang University, China

Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, China

Funding

Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Ministry of Industry and Information Technology of the People's Republic of China

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