Design optimization of molds for autoclave process of composite manufacturing

2017 ◽  
Vol 36 (21) ◽  
pp. 1564-1576 ◽  
Author(s):  
Qing Wang ◽  
Lingyun Wang ◽  
Weidong Zhu ◽  
Qiang Xu ◽  
Yinglin Ke
2020 ◽  
Vol 27 (5) ◽  
pp. 673-691
Author(s):  
Shize Chen ◽  
Daochun Li ◽  
Jinwu Xiang ◽  
Shiwei Zhao

2018 ◽  
Vol 53 (5) ◽  
pp. 641-652 ◽  
Author(s):  
Lingyun Wang ◽  
Weidong Zhu ◽  
Qing Wang ◽  
Qiang Xu ◽  
Yinglin Ke

In composite manufacturing, large composite parts usually exhibit high heating gradients during the autoclave process, which may intensify the process-induced residual stresses and deformations. As the thermal behavior of molds is of crucial importance to the curing performance of composites, a heat-balance method is presented to reduce the heating rate on overheated areas of molds, thus providing a more homogeneous curing process. The method is based on a local-isolation structure installed under the mold plate, which is used to change the local heat transfer coefficient of the mold. In the local-isolation structure application, an optimization process combining numerical simulations with a greedy genetic algorithm is developed to find the optimal layout and geometry of local-isolation structure in molds. The optimization results suggest that more uniform heating condition and more synchronous curing process can be achieved with the optimal design of local-isolation structure. In the case of a typical mold for C spar component, the maximum temperature difference in the composite part is reduce by 45.69%, while the maximum difference in degree of cure is decreased at a rate of 40.16%.


2020 ◽  
Vol 1549 ◽  
pp. 032086
Author(s):  
Jian Hu ◽  
Lihua Zhan ◽  
Xiaobo Yang ◽  
Rulin Shen ◽  
Jiayang He ◽  
...  

2019 ◽  
Author(s):  
Thibault de Lumley ◽  
François Mathieu ◽  
Didier Cornet ◽  
Dimitri Gueuning ◽  
Nicolas Van Hille

2016 ◽  
Vol 136 (2) ◽  
pp. 93-98 ◽  
Author(s):  
Paolo Mancinelli ◽  
Valentina Santangelo ◽  
Davide Fabiani ◽  
Andrea Saccani ◽  
Maurizio Toselli ◽  
...  

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