基于元模型的工业u形弯曲回弹后弯曲角校正控制算法

IF 2.6 3区 材料科学 Q2 ENGINEERING, MANUFACTURING
L. Muñiz, L. Galdos, J. Trinidad
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引用次数: 0

摘要

几何形状复杂性的增加和钣金部件性能的改进导致了更窄的工艺窗口,突出了对更好的工艺控制的需求,以尽量减少偏差,并确保生产高质量的零件。在此背景下,本研究的重点是控制知名TIER1公司生产的座椅导轨部件的弯曲角度。这个角度会因材料、工艺波动和成型后回弹而变化。两种类型的材料,冷轧双相DP980钢和复杂相CP980高强度钢,在制造该部件时可以互换使用。这两种材料的力学性能和厚度的变化导致回弹后弯曲角的显著差异。为了应对这一挑战,已经开发了各种控制策略,包括经典控制器和基于元模型的前馈项增强的控制器。对于后者,使用了两种方法:基于仿真的元模型和基于实验数据的元模型。考虑了基于启发式的干扰,反映了材料的可变性和工艺的变化(刀具安装变化、刀具磨损、间隙变化和温度变化)。为了校准新的控制器参数和增益,采用了基于约束的遗传算法方法,并对该过程进行了数值虚拟化。在此虚拟设置之后,新的控制器已经在真实环境中进行了实验测试,使用工业u形弯曲工具和4000kn伺服机械压力机。实践证明,该控制器是提高过程鲁棒性的有效方法。采用反馈控制系统的经典控制器可以考虑零件间的变化。另一方面,添加基于元模型的前馈项有助于预测材料特性和片厚变化,从而防止废料产生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metamodel-based control algorithms for the correction of bending angle after springback in an industrial U-Bending process

The increased complexity of geometries and the improved properties of sheet metal components result in narrower process windows, highlighting the need for better process control to minimize deviations and to ensure the production of high-quality parts. In this context, this study focuses on controlling the bending angle of a seat rail component manufactured by a renowned TIER1 company. This angle changes due to material, process fluctuations and post-forming springback. Two types of material, a cold-rolled Dual Phase DP980 steel and a Complex Phase CP980 high-strength steel, are both employed interchangeably when manufacturing this component. Variations in the mechanical properties and thickness of these two materials result in significant differences in post-springback bending angle. To tackle this challenge, various control strategies have been developed including a classical controller and a controller enhanced with a metamodel-based feedforward term. For the latter, two approaches were used: a simulation-based metamodel and an experimental data-based metamodel. Heuristic-based disturbances, reflecting both material variability and process changes (tool mounting variations, tool wear, gap changes and temperature variations), have been considered. To calibrate the new controller parameters and gains, a constrained-based genetic algorithm approach has been utilized together with a numerical virtualization of the process. After this virtual set-up, the new controllers have been tested experimentally in a real environment, using an industrial U-bending tool and a 4000 kN servomechanical press. The new controllers have proven to be an efficient method for enhancing the process robustness. A classical controller, employing a feedback control system, enabled consideration of part-to-part variations. On the other hand, the addition of a metamodel-based feedforward term facilitated anticipation of material properties and sheet thickness changes, thereby preventing scrap production.

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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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