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A new methodology for measuring galling wear severity in high strength steels

机译:一种新的方法,用于测量高强度钢中的磨损磨损严重程度

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With the increased usage of Advanced High Strength Steels, galling wear has become a significant challenge for sheet metal stamping industries. Galling, in particular, can have a large economic impact due to the high costs and lost productivity associated with manual monitoring, refinishing/resurfacing damaged tooling and formed parts, and the need to apply expensive treatments or coatings to tool surfaces. This has led to a push for automated galling wear detection systems. However, developing such systems requires an accurate measurement of galling wear severity that can be easily implemented in industrial situations. Parameters used for measuring galling wear are often difficult to collect in large industrial style trials, and can be inaccurate as they are not targeted towards characterising the localised features associated with galling wear damage. In this study, a new galling wear characterisation and measurement methodology is introduced that accurately measures galling wear severity by targeting the localised features on sheet metal parts. This methodology involves calculating Discrete Wavelet Transform detail coefficients of 2D surface profiles. A case study on a series of deep drawn channel parts demonstrates the accuracy of the Discrete Wavelet Transform methodology when compared to visual assessment of galling wear severity. Based on comparison to visual assessment the presented Discrete Wavelet Transform galling wear measurement methodology outperforms other commonly used wear measures. The methodology provides a targeted, repeatable and non-subjective measure of galling wear severity. The specific outcome of this work provides an important tool for research into galling wear monitoring and detection systems in sheet metal forming, and the study of galling wear and its prevention in general.
机译:随着先进的高强度钢的使用量增加,陷入困境已经成为金属板冲压行业的重大挑战。特别是陷入困境,由于高成本和与手动监测相关的高成本,损坏,损坏的工具和成型部件有关,并且需要将昂贵的处理或涂层应用于工具表面的需要,因此可能具有很大的经济影响。这导致推动自动磨损磨损检测系统。然而,开发此类系统需要精确测量陷入磨损严重程度,这可以在工业情况下轻松实现。用于测量磨损磨损的参数通常难以在大型工业风格试验中收集,并且可以不准确,因为它们没有朝向表征与磨损磨损损伤相关的局部功能。在本研究中,引入了一种新的陷阱磨损表征和测量方法,通过瞄准金属板件上的局部特征来准确地测量磨损严重程度。该方法涉及计算2D表面轮廓的离散小波变换细节系数。与视觉评估陷入耐磨严重程度的视觉评估相比,对一系列深拉通道部件的案例研究表明了离散小波变换方法的准确性。基于与视觉评估的比较,所提出的离散小波变换陷入磨损测量方法优于其他常用的磨损措施。该方法提供了陷入磨损严重程度的目标,可重复和非主观度量。该工作的具体结果为薄膜金属磨损监测和检测系统进行了研究,以及一般的磨损磨损及其预防研究。

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