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Acoustic Emission Analysis for Online Monitoring in Sheet Metal Forming

用于金属板材成型在线监测的声发射分析

基本信息

批准号：
263066528
负责人：
Professor Dr.-Ing. Bernd-Arno Behrens
金额：
--
依托单位：
Institut für Umformtechnik und Umformmaschinen (IFUM)
依托单位国家：
德国
项目类别：
Research Grants (Transfer Project)
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/263066528?language=en
关键词：
Acoustic Emission Analysis Online Monitoring

项目摘要

In the sheet metal forming industry, the need for 100% inspection has been increasing due to the continuous demand on quality requirements and particularly due to the intensive use of high and ultra-high strength steels, increasing tool complexity as well as the required part accuracy. These processes are commonly automated, so the monitoring and early detection of occurring defects of the tool and the product are becoming increasingly necessary. The acoustic emission technique (AET) is a non-destructive testing method, which records the released elastic ultrasonic waves by sensors generated during the structural change of the material. Within the acoustic emission analysis, the recorded signals get analyzed and evaluated in order to draw conclusions about the condition of the process and / or product.The applicability of AET for characterizing defects due to deformation, crack initiation and phase transformation could be already proofed in several research studies. There are no scientific investigations dealing with online monitoring of sheet metal forming processes or with the determination of sheet metal forming defects above 300 kHz.Recording and analyzing of acoustic emission signals allows the process monitoring with regard of cracks, lack of lubrication, doubling of blanks or incorrect insertion of the blanks. The diversity of the monitored effects, phenomena and sizes as well as the variety of analytical methods (including time analysis, frequency analysis, time-frequency analysis, pattern recognition) have several options for using the AE method for different monitoring tasks in the field of sheet metal forming and should be investigated more precisely within this research project.

在钣金成形行业中，由于对质量要求的持续需求，特别是由于高强度和超高强度钢的大量使用，增加了工具的复杂性以及所需的零件精度，因此对100%检测的需求一直在增加。这些过程通常是自动化的，因此对工具和产品的缺陷进行监控和早期检测变得越来越必要。声发射技术（AET）是一种无损检测方法，它通过传感器记录材料结构变化过程中产生的释放的弹性超声波。在声发射分析中，对记录的信号进行分析和评估，以得出有关工艺和/或产品状况的结论。AET用于表征由于变形、裂纹萌生和相变引起的缺陷的适用性已经在多项研究中得到证明。目前还没有关于在线监测金属板成形过程或确定高于300 kHz的金属板成形缺陷的科学研究。声发射信号的记录和分析允许对裂纹、缺乏润滑、坯料重叠或坯料插入错误进行过程监测。监测的效果，现象和大小的多样性以及各种分析方法（包括时间分析，频率分析，时频分析，模式识别）有几种选择，使用AE方法在金属板成形领域的不同监测任务，并应在本研究项目中进行更精确的调查。