Performance and manufacturability co-driven process planning for topology-optimized structures fabricated by continuous fiber-reinforced polymer additive manufacturing

IF 8.1 2区 材料科学 Q1 ENGINEERING, MANUFACTURING Composites Part A: Applied Science and Manufacturing Pub Date : 2025-05-01 Epub Date: 2025-02-19 DOI:10.1016/j.compositesa.2025.108813
Huilin Ren , Ziwen Chen , Dan Wang , David W. Rosen , Yi Xiong
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Abstract

The advancement of continuous fiber-reinforced polymer additive manufacturing (CFRP-AM) enables the fabrication of intricate geometries. While topology-optimized structures are known for their lightweight and superior properties, these complex forms introduce significant challenges in fiber toolpath design due to irregular geometric variations, particularly where fibers converge and diverge. Moreover, this complexity has been compounded by a separation between structural design and its direct application to manufacturing, leading to inefficiencies in the production process. To address this issue, a strut-joint (S-J) feature fiber toolpath planning method is developed that considers both performance and manufacturability. This method employs a divide-and-conquer strategy by separately optimizing the fiber paths in strut and joint regions to improve overall structural integrity. For topology-optimized structures with intricate geometries, a curl-based feature recognition method has been proposed. This method calculates the curl of the fiber orientation field and leverages the principle where angular variations result in increased curl values to categorize topology-optimized structures into two fundamental features: strut and joint. Subsequently, in strut regions, continuous fiber paths are generated using a field projection method, with the projection period determined by the minimal printable spacing. In joint areas, two specialized sub-optimization problems are introduced—connection and shape design. The connection problem uses integer linear programming to optimize the matching of fiber paths from different struts, while the shape design ensures extensive fiber coverage with no overlap, improving print quality and mechanical performance. This S-J feature approach maximizes fiber alignment with optimized material orientations in strut regions and minimizes performance degradation in joint areas, ensuring the structural integrity and effectiveness of the design. By directly translating the structural design results into continuous toolpaths for manufacturing, this approach bridges the gap between design and manufacturability. Mechanical tests revealed that the Messerschmitt-Bolkow-Blohm (MBB) model fabricated with S-J toolpaths exhibited increases in stiffness of 21.5 % and 25.2 %, in strength of 29 % and 25.8 %, and in fiber infill ratio of 43.1 % and 6.7 %, respectively, when compared to the equally-spaced method (EQS) and Offset methods. Numerical simulation and digital image correlation (DIC) further validated the method, demonstrating a more uniform strain distribution and reduced stress concentrations, leading to enhanced strength. This research advances toolpath planning for topology-optimized structures, highlighting future innovations to improve performance and manufacturability of CFRP structures.
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连续纤维增强聚合物增材制造拓扑优化结构的性能和可制造性协同驱动工艺规划
连续纤维增强聚合物增材制造(CFRP-AM)的进步使复杂几何形状的制造成为可能。虽然拓扑优化结构以其轻量化和优越的性能而闻名,但由于不规则的几何变化,特别是在纤维汇聚和发散的地方,这些复杂的形状给光纤刀具轨迹设计带来了重大挑战。此外,结构设计与其直接应用于制造之间的分离加剧了这种复杂性,导致生产过程效率低下。为解决这一问题,提出了一种兼顾性能和可制造性的杆-关节特征光纤刀具轨迹规划方法。该方法采用分而治之的策略,分别优化支柱和节点区域的纤维路径,以提高整体结构的完整性。针对具有复杂几何形状的拓扑优化结构,提出了一种基于卷曲的特征识别方法。该方法计算纤维取向场的旋度,并利用角度变化导致旋度值增加的原理,将拓扑优化结构分为两个基本特征:支柱和关节。随后,在支撑区域,使用场投影法生成连续光纤路径,投影周期由最小可打印间距决定。在节理区域,引入了两个专门的子优化问题——连接和形状设计。连接问题采用整数线性规划优化不同支板纤维路径的匹配,而形状设计保证了广泛的纤维覆盖,无重叠,提高了打印质量和机械性能。这种S-J特征方法通过优化支撑区域的材料方向最大化纤维对齐,并最大限度地减少关节区域的性能下降,确保结构的完整性和设计的有效性。通过直接将结构设计结果转换为连续的制造工具路径,这种方法弥合了设计和可制造性之间的差距。力学试验表明,与等间距法(EQS)和偏置法相比,采用S-J刀具路径制备的Messerschmitt-Bolkow-Blohm (MBB)模型的刚度提高了21.5%和25.2%,强度提高了29%和25.8%,纤维填充率提高了43.1%和6.7%。数值模拟和数字图像相关(DIC)进一步验证了该方法,表明应变分布更加均匀,应力集中降低,从而提高了强度。该研究推进了拓扑优化结构的刀具路径规划,突出了未来的创新,以提高碳纤维增强塑料结构的性能和可制造性。
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来源期刊
Composites Part A: Applied Science and Manufacturing
Composites Part A: Applied Science and Manufacturing 工程技术-材料科学:复合
CiteScore
15.20
自引率
5.70%
发文量
492
审稿时长
30 days
期刊介绍: Composites Part A: Applied Science and Manufacturing is a comprehensive journal that publishes original research papers, review articles, case studies, short communications, and letters covering various aspects of composite materials science and technology. This includes fibrous and particulate reinforcements in polymeric, metallic, and ceramic matrices, as well as 'natural' composites like wood and biological materials. The journal addresses topics such as properties, design, and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advancements in fabrication and processing, manufacturing science, process modeling, experimental mechanics, microstructural characterization, interfaces, prediction and measurement of mechanical, physical, and chemical behavior, and performance in service. Additionally, articles on economic and commercial aspects, design, and case studies are welcomed. All submissions undergo rigorous peer review to ensure they contribute significantly and innovatively, maintaining high standards for content and presentation. The editorial team aims to expedite the review process for prompt publication.
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