An Automated Reasoning Technique for Predicting Tool-Path Schedule using Intelligent Incremental Forming Machine System and Its Application to Precision Stretch Forming

增量成形是一种过程，在此过程中，金属板材被拉伸以适应由工具围绕金属板材的相对运动而形成的工具外壳表面。从无模成形操作的角度来看，增量成形工艺似乎适合于小批量生产，并且在精密成形操作中也被认为是重要的。虽然增量成形具有很大的刀具运动自由度，但目前还没有一种算法来自动推理出合适的刀具轨迹。为了克服对合理的刀路规划推理的需要，本文研制了一种智能增量成形机，并提出了刀路规划推理算法。所开发的机器配有激光轮廓仪，用于在线测量钣金产品的形状。该算法通过应用神经网络的自动推理技术，从被测产品的形状中推导出刀具轨迹计划。实验结果表明，该算法适用于无回弹等精密增量成形作业中板料制品形状的在线调整。

An incremental forming is a process in which a sheet metal is stretched to fit on a tool-envelope surface made by relative motion of a tool around the sheet metal. The incremental forming process seems to be suited to small-lot production from viewpoint of a die-less forming operation, and is also thought to be important in precision forming operation. Although the incremental forming posses large degree of freedom of tool motion, an algorithms for reasoning automatically an adequate tool-path schedule has not been illuminated. So as to overcome the need for reasoning the adequate tool-path schedule, this study presents the development of an intelligent incremental forming machine and the proposal of algorithms for reasoning the tool-path schedule. The developed machine is equipped with a laser profilometry for on-line measurement of the shapes of sheet metal products. The proposed algorithm can deduce a tool-path schedule from the measured shapes of the products, by applying the automated reasoning technique of neural networks. Experimental results show that the proposed algorithm is applicable to on-line adjustments of the shapes of sheet metal products for the precision incremental forming operation, such as springback-less forming operation.