Issue |
JNWPU
Volume 36, Number 4, August 2018
|
|
---|---|---|
Page(s) | 693 - 700 | |
DOI | https://doi.org/10.1051/jnwpu/20183640693 | |
Published online | 24 October 2018 |
Optimization of Process Parameters for Robotic Fibre Placement
复合材料机器人纤维铺放工艺参数优化
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Received:
20
May
2017
Compared with labour-intensive and time-consuming processing of conventional fabrication methods, the robotic fiber placement process greatly improves the flexibility of the fiber placement process and allows for the construction of more complex structures. Based on the study of the placement process, the intimate contact process and healing process were analysed theoretically. The key process parameters for affecting the quality of the composite component were put forward:hot gas torch temperature, compaction force and laying velocity. In order to analyse the fabrication process for laying the cylindrical parts with 0-degree tow direction, the model of the process parameters coupling affected the interlaminar bond strength was established, according to the design of the response surface method. The reliability and validity of the model were verified by the analysis of variance. The optimal process parameters of fiber placement were obtained. The results show that the model is effective and the optimum peeling force of the laying products is 24.1 N under the optimum process parameters.
摘要
相较于复合材料结构件传统加工方法的劳动密集型和耗时性,机器人纤维铺放技术大大的提高了复合材料成型过程的灵活性,允许制造更为复杂的结构。基于热塑性复合材料机器人纤维铺放成型工艺过程研究,分别对成型过程中紧密接触过程与融合过程进行理论分析,提出影响铺放制品质量的关键工艺参数:热气炬温度、铺放压力和铺放速度;针对圆柱形零件轴向0°铺放成型过程,以层间粘结强度为优化目标,根据响应面法设计实验,建立工艺参数耦合对层间粘结强度影响模型,通过方差分析验证了模型可靠性及有效性,进而获得纤维铺放成型最优工艺参数;实验研究表明,在最优工艺参数作用下,层间剥离力最高为24.1 N,铺放制品粘结强度最高。
Key words: prepreg tow / fibre placement / parameter optimization / response surface methodology / interlaminar bonding strength / analysis of variance(ANOVA) / design of experiments
关键字 : 预浸丝束 / 纤维铺放 / 工艺参数优化 / 响应面法 / 层间粘结强度 / 方差分析 / 实验设计
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.