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A Vision-Based Fuzzy Control to Adjust Compression Speed for a Semi-Dieless Bellows-Forming
Metals ( IF 2.9 ) Pub Date : 2020-05-28 , DOI: 10.3390/met10060720
Sugeng Supriadi , Tsuyoshi Furushima , Ken-ichi Manabe

A novel semi-dieless bellows forming process with a local heating technique and axial compression has been initiated for the past years. However, this technique requires a high difficulty in maintaining the output quality due to its sensitivity to the processing conditions. The product quality mainly depends on not only the temperature distribution in the radial and axial direction but also the compression ratio during the semi-dieless bellows process. A finite element model has clarified that a variety of temperature produced by unstable heating or cooling will promote an unstable bellows formation. An adjustment to the compression speed is adequate to compensate for the effect of the variety of temperatures in the bellows formation. Therefore, it is necessary to apply a real-time process for this process to obtain accurate and precise bellows. In this paper, we are proposing a vision-based fuzzy control to control bellows formation. Since semi-dieless bellows forming is an unsteady and complex deformation process, the application of image processing technology is suitable for sensing the process because of the possible wide analysis area afforded by applying the multi-sectional measuring. A vision sensing algorithm is developed to monitor the bellows height from the captured images. An adaptive fuzzy has been verified to control bellows formation from 5 mm stainless steel tube in to bellows profile up to 7 mm bellows height, processing speed up to 0.66 mm/s. The adaptive fuzzy control system is capable of appropriately adjusting the compression speed by evaluating the bellows formation progress. Appropriate compression speed paths guide bellows formation following deformation references. The results show that the bellows shape accuracy between target and experiment increase become 99.5% under given processing ranges.

中文翻译:

基于视觉的模糊控制,可调节半空心波纹管成形的压缩速度

在过去的几年中,已经开始采用局部加热技术和轴向压缩的新型半空心波纹管成型工艺。但是,由于该技术对处理条件的敏感性,因此在维持输出质量方面要求很高的难度。产品质量不仅取决于径向和轴向温度分布,还取决于半空心波纹管加工过程中的压缩比。有限元模型已经阐明,由于不稳定的加热或冷却而产生的各种温度将促进不稳定的波纹管形成。压缩速度的调整足以补偿波纹管结构中温度变化的影响。因此,有必要对此过程应用实时过程以获取准确和精确的波纹管。在本文中,我们提出了一种基于视觉的模糊控制来控制波纹管的形成。由于半空心波纹管成型是不稳定且复杂的变形过程,因此图像处理技术的应用适合于感测该过程,因为通过进行多部分测量可以提供较宽的分析区域。开发了视觉感测算法以从捕获的图像监视波纹管高度。经过验证的自适应模糊技术可以控制从5 mm不锈钢管到波纹管轮廓的波纹管形成,波纹管的高度可以达到7 mm,波纹管的加工速度可以达到0.66 mm / s。自适应模糊控制系统能够通过评估波纹管的形成过程来适当地调节压缩速度。适当的压缩速度路径会根据变形参考值引导波纹管的形成。结果表明,在给定的加工范围内,目标与实验之间的波纹管形状精度提高了99.5%。
更新日期:2020-05-28
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