Online pre-perception of forming state based on real-time measurement in spinning of thin-walled shell component

IF 6.7 2区 材料科学 Q1 ENGINEERING, INDUSTRIAL
Xinggang Yan, Pengfei Gao, Mei Zhan, Xinshun Li, Han Zhang
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引用次数: 0

Abstract

Die-less spinning is an advance incremental forming process widely used for the manufacturing of thin-walled shell components. During the spinning, workpiece shape and forming state both change continuously, and the influence of process parameters on the forming results is also time-varying, which make it difficult to control the forming quality. To this end, this work develops a real-time measurement system and an online pre-perception method to provide technical support for dynamic control of the spinning process. Specifically, the real-time measurement system is constructed firstly by placing two laser profilers bilaterally at two sides of the workpiece. Based on the measuring data of two laser profilers, the profile data of workpiece cross-section is obtained by coordinate transformation, data denoising and correcting the error caused by inclined workpiece surface. Then, an algorithm is proposed to identify the critical geometric parameters (flange width, roller action radius, wall thickness and flange fluctuation degree) of workpiece shape from the profile data. In contrast to the measurement results by a three-coordinate measuring machine, the developed system presents a real-time measurement error less than 4 %. Moreover, an online pre-perception method of wall thickness and wrinkling defect is developed based on the real-time measured workpiece shape parameters. The online pre-perception of wall thickness and wrinkling defect presents high accuracy with the relative error less than 2.1 %. The above results indicate both the workpiece dimensions and spinning state can be well real-time measured and online pre-perceived, which can provide important foundation for the study of time-varying influence and dynamic control of the spinning process.
基于实时测量的薄壁壳件旋压成形状态在线预感知
无模旋压是一种先进的增量成形工艺,广泛应用于薄壁壳件的制造。在旋压过程中,工件形状和成形状态都是连续变化的,工艺参数对成形结果的影响也是时变的,给成形质量的控制带来了困难。为此,本工作开发了实时测量系统和在线预感知方法,为纺纱过程的动态控制提供技术支持。具体而言,首先在工件两侧两侧放置两个激光轮廓仪,构建实时测量系统。以两台激光轮廓机的测量数据为基础,通过坐标变换、数据去噪和工件表面倾斜误差校正,得到工件截面轮廓数据。然后,提出了一种从型材数据中识别工件形状关键几何参数(凸缘宽度、滚轮作用半径、壁厚和凸缘起伏度)的算法。与三坐标测量机的测量结果相比,该系统的实时测量误差小于4 %。在此基础上,提出了一种基于实时测量工件形状参数的壁厚和起皱缺陷在线预感知方法。对壁厚和起皱缺陷的在线预感知精度较高,相对误差小于2.1 %。上述结果表明,工件尺寸和旋压状态都可以很好地实时测量和在线预感知,为研究旋压过程的时变影响和动态控制提供了重要的基础。
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来源期刊
Journal of Materials Processing Technology
Journal of Materials Processing Technology 工程技术-材料科学:综合
CiteScore
12.60
自引率
4.80%
发文量
403
审稿时长
29 days
期刊介绍: The Journal of Materials Processing Technology covers the processing techniques used in manufacturing components from metals and other materials. The journal aims to publish full research papers of original, significant and rigorous work and so to contribute to increased production efficiency and improved component performance. Areas of interest to the journal include: • Casting, forming and machining • Additive processing and joining technologies • The evolution of material properties under the specific conditions met in manufacturing processes • Surface engineering when it relates specifically to a manufacturing process • Design and behavior of equipment and tools.
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