数据驱动的多级矫直和弯曲工艺建模新方法

Henning Peters
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引用次数: 0

摘要

摘要在多工序折弯和矫直操作中,工序交叉和数量效应对最终产品的质量有着至关重要的影响。将冲压弯曲装置与机电一体化矫直装置结合使用,可显著提高产品特征的精度和可重复性。在这项工作中,提出了在多级矫直和多级弯曲过程中使用辊式矫直机的创新混合模型概念。该模型将数据驱动元素与专家知识相结合,旨在最大限度地减少辊子矫直机的残余误差,从而可靠地降低对后续冲压弯曲工艺产生不利的跨阶段和数量依赖性影响的风险。
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Novel approach for data-driven modelling of multi-stage straightening and bending processes
Abstract. In multi-stage bending and straightening operations cross-stage and quantity-dependent effects crucially affect the quality of the end product. Using punch-bending units in combination with a mechatronic straightening device can improve the accuracy and repeatability of product features remarkably well. In this work a concept for an innovative hybrid model of a roll straightener in a multi-stage straightening and multi-stage bending process is proposed. This model combines data-driven elements with expert knowledge and aims to minimise residual errors of the roll straightener to reliably decrease the risk of disadvantageous cross-stage and quantity-dependent effects on a subsequent punch-bending process.
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