ESAFORM基准2024:复杂形状单点增量成形几何精度研究

IF 2.6 3区 材料科学 Q2 ENGINEERING, MANUFACTURING
Marthe Vanhulst, Youngrok Lee, Dennis Steinfels, Thomas Bremen, Konrad Perzyński, Hans Vanhove, Giuseppina Ambrogio, Radu-Eugen Breaz, Gianluca Buffa, Romina Conte, Liugi De Napoli, Livan Fratini, Xiao Da Terrence Fu, Francesco Gagliardi, Margarida Gralha, Putong Kang, Łukasz Kuczek, A. Senthil Kumar, Andreas Kunke, André Leonhardt, Yanle Li, Zhuoer Li, Roberto Licari, Hui Long, Darren Wei Wen Low, Sever-Gabriel Racz, Peter Scholz, M. Beatriz Silva, Shaoqi Song, Dieter Weise, Krzysztof Żaba, Hui Zhu, David Bailly, Mihaela Banu, Lukasz Madej, Joost R. Duflou
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引用次数: 0

摘要

增量板成形(ISF)的2024年基准项目涉及15个研究机构的13项实验贡献,提供了一个独特的机会来比较ISF中各种设置和成型策略的实验输出。这种合作导致了统一数据交换格式、度量指南和标准化命名法的发展,促进了未来有效的合作。该项目解决了使用单点增量成形(SPIF)成形相对较大零件(400 × 400 mm)时几何精度方面的挑战,并重点解决了ISF中的多个常见缺陷,特别是帐篷效应和枕头效应。此外,还对两点双面增量成形(TPIF和DSIF)进行了实验研究。通过结合所有参与机构的知识和经验,该项目旨在为有效的参数选择和刀具路径策略提供见解,并展示多阶段工艺对提高几何精度的重要性。尽管SPIF设置在理论上很简单,但这种旨在提高几何精度的多阶段刀具路径策略也带来了一些新的挑战。该研究强调需要关注局部效应的多阶段战略,以及几何补偿技术来增强ISF的工业适用性。替代工艺变体,如TPIF和DSIF,显示出有希望的结果,但它们也有局限性和挑战,强调了预测仿真工具对进一步提高几何精度的重要性。ISF实验的可扩展性仍然是一个重大挑战,需要进一步研究过程优化的尺度规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ESAFORM benchmark 2024: study on the geometric accuracy of a complex shape with single point incremental forming

The benchmark 2024 project on Incremental Sheet Forming (ISF), involving 15 research institutes in 13 experimental contributions, provided a unique opportunity to compare experimental outputs from various setups and forming strategies in ISF. This collaboration led to the development of uniform data exchange formats, measurement guidelines, and standardized nomenclature, fostering efficient future collaborations. The project addressed challenges in geometric accuracy when forming a relatively large part (400 × 400 mm) using Single Point Incremental Forming (SPIF) and focused on multiple common pitfalls in ISF, in particular the tent effect and pillow effect. Additionally, some experiments have been conducted using Two Point and Double Sided Incremental Forming (TPIF and DSIF). By combining the knowledge and experience of all participating institutes, this project aimed to provide insights into effective parameter choice and toolpath strategies, and shows the importance of multi-stage processes to increase the geometric accuracy. Despite the theoretical simplicity of SPIF setups, such multi-stage toolpath strategies directed toward improved geometric accuracy also add some new challenges. The study highlighted the need for multi-stage strategies that focus on local effects, as well as geometric compensation techniques to enhance ISF's industrial applicability. Alternative process variants like TPIF and DSIF, showed promising results, but they also had limitations and presented challenges, emphasizing the importance of predictive simulation tools to further increase geometric accuracy. The scalability of ISF experiments remains a significant challenge, necessitating further research into scale laws for process optimization.

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来源期刊
International Journal of Material Forming
International Journal of Material Forming ENGINEERING, MANUFACTURING-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.10
自引率
4.20%
发文量
76
审稿时长
>12 weeks
期刊介绍: The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material. The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations. All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.
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