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Statistical analysis of a model based product property control for sheet bending

机译：基于模型的板料弯曲产品性能控制的统计分析

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Fluctuations in semi-finished parts as well as the environmental conditions of a forming process cause uncertainties in the properties of the produced product. Controlling these uncertainties can be realized by using a quality feedback control. Since part properties are usually difficult to measure during a forming process, models of the machine and process characteristics are required. Models derived either from technological considerations or from statistical investigations can be used to predict product properties resulting from a process with specific properties of the semi-finished part. This paper describes the statistical analysis of an adaptive feed-forward model to compensate spring-back in a flexible sheet bending process. It is investigated whether the use of a process integrated measurement of semi-finished part properties, which are fed into the control model, leads to a significant improvement of product quality. The experiments were conducted on a flexible multi-purpose forming machine with the availability of a three-degrees-of-freedom ram motion, including an appropriate tooling system for flexible bending. The process was repeated for each class of the investigated semi-finished parts using the corresponding model parameters in order to generate the data sets for the statistical analysis. A probability density function estimated from the measurement data allows presuming a significant improvement of product quality. By the application of techniques of statistical testing theory, the non-randomness of the observed improvement is confirmed for the majority of testing fields. This leads to the conclusion, that the quality of forming processes, especially bending processes, can be enhanced by a process control based on a linear regression model considering the properties of the semi-finished part.
机译：半成品的波动以及成型过程的环境条件会导致所生产产品的性能不确定。通过使用质量反馈控制可以控制这些不确定性。由于零件的性能通常在成型过程中难以测量，因此需要机器模型和工艺特征。从技术考虑或统计调查得出的模型可用于预测由具有半成品特定特性的过程产生的产品特性。本文介绍了一种自适应前馈模型的统计分析，以补偿柔性板料弯曲过程中的回弹。我们调查了是否将对零件半成品特性进行过程综合测量，并将其输入到控制模型中是否导致产品质量的显着提高。实验是在具有三自由度撞锤运动的柔性多功能成型机上进行的，其中包括用于柔性弯曲的适当工具系统。使用相应的模型参数为每个类别的被研究半成品重复此过程，以生成用于统计分析的数据集。根据测量数据估算出的概率密度函数可以推断出产品质量的显着提高。通过统计测试理论技术的应用，对于大多数测试领域而言，所观察到的改进都是非随机的。得出的结论是，考虑到半成品的特性，可以通过基于线性回归模型的过程控制来提高成形过程（尤其是弯曲过程）的质量。

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