Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method: An approach towards sustainable manufacturing

Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method: An approach towards sustainable manufacturing
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DOI:
10.1016/j.compositesa.2022.107418
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发表时间:
2023-04
期刊:
Composites Part A: Applied Science and Manufacturing
影响因子:
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通讯作者:
Jiaying Ge;Wenchang Zhang;M. Luo;G. Catalanotti;B. Falzon;Colm Higgins;Dinghua Zhang;Yan Jin;D. Sun
Jiaying Ge;Wenchang Zhang;M. Luo;G. Catalanotti;B. Falzon;Colm Higgins;Dinghua Zhang;Yan Jin;D. Sun
中科院分区:
其他
文献类型:
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作者:
Jiaying Ge;Wenchang Zhang;M. Luo;G. Catalanotti;B. Falzon;Colm Higgins;Dinghua Zhang;Yan Jin;D. Sun

文献摘要

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碳纤维增强聚醚酮酮(CF/PEKK)因其良好的自愈性和易回收、易修复等优点,在航空工业中受到越来越多的关注。然而,目前对CF/PEKK的加工性能还没有很好的了解,对于如何将其孔损伤降到最低、提高生产效率还缺乏优化研究。在这里,我们报告了第一个针对CF/PEKK钻井的多目标优化研究。采用一种结合非支配排序遗传算法-II(NSGA-II)和理想解相似排序技术(TOPSIS)的混合优化算法来获得Pareto解,并根据与理想解的贴近度对多个解进行排序。为了突出不同基体性能对优化结果的影响,首次与传统热固性碳纤维增强环氧复合材料(CF/环氧)进行了对比研究。实验验证表明,该方法可以达到91.5%~95.7%的预测精度,Pareto解有效地将分层和热损伤控制在了允许的误差范围内。由于CF/PEKK的热塑性性质和加工过程中表现出的独特的热/机械相互作用特性,CF/PEKK的最佳钻孔参数与CF/环氧树脂相比有很大的不同。
Carbon-fibre-reinforced-polyetherketonketone (CF/PEKK) has attracted increasing interest in the aviation industry due to its self-healing properties and ease of recycle and repair. However, the machining performance of CF/PEKK is not well understood and there is a lack of optimization study for minimizing its hole damage and improving the production efficiency. Here, we report the first multi-objective optimization study for CF/PEKK drilling. A hybrid optimization algorithm integrating Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Techniques for Order of Preference by Similarity to Ideal Solution (TOPSIS) is deployed to obtain the Pareto solutions and rank the multiple solutions based on closeness to ideal solutions. To highlight the impact of different matrix properties on the optimization outcome, comparative study with conventional thermoset carbon fibre reinforced epoxy composite (CF/epoxy) is carried out for the first time. Experimental validation shows the proposed method can achieve 91.5–95.7% prediction accuracy and the Pareto solutions effectively controlled the delamination and thermal damage within permissible tolerance. The vastly different optimal drilling parameters identified for CF/PEKK as compared to CF/epoxy is attributed to the thermoplastic nature of CF/PEKK and the unique thermal/mechanical interaction characteristics displayed during the machining process.