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| Research on Process Design of Layered Self-Resistance Electric Heating for Thick Composite |
| ZHANG Bo1 ， LU Yong2 ， LIU Shuting1 ， LIU Qiangqiang1 ，HAO Xiaozhong1 |
| （1. Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. Nanjing Institute of Technology, Nanjing 211167, China) |
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Abstract Aiming at the thermal overshoot and thermal shell-core effect during the curing of thick composite, a layered self-resistance electric heating (L–SRE) process design method is proposed to alleviate the thermal overshoot, reduce the through-thickness temperature difference, and shorten the curing time. In this paper, a multi-physical coupling finite element model (FEM) of L–SRE process is established to predict the degree of curing and the through-thickness temperature distribution under specific layering process parameters. Based on the FEM, a radial basis neural network surrogate model (RBF) is established. The genetic algorithm (GA) is used to optimize the peak temperature of thermal overshoot, the maximum through-thickness temperature difference, and the curing time during the whole process to obtain optimal parameters. Finally, the optimized multi-layer independent temperature control process parameters are obtained. Based on a multi-channel self-resistance electric heating (SRE) platform, L–SRE curing experiments are carried out. The experimental results show that the peak temperature of thermal overshoot using the new process is reduced to 132.8℃ below the glass transition temperature. Compared with the oven, the overshoot temperature is reduced by 19.7 ℃ , which is a 60.6% reduction; Compared with the integrated SRE and the recommended process of L-SRE, the overshoot temperature are reduced by 54.0% and 34.7% respectively. The curing time is reduced by nearly 33min, which is a 19.6% shorter. The optimized L–SRE process parameters can effectively reduce the thermal overshoot and improve the temperature uniformity through thickness.
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2021, 
