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

智能增量成形机系统预测刀具路径调度的自动推理技术及其在精密拉伸成形中的应用

• 批准号: 11650121
• 负责人: KITAZAWA Kimiyoshi
• 金额: $ 2.3万
• 依托单位: Shinshu University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650121/
• 关键词: Incremental Forming; Intelligent Forming; Sheet Metal Forming; Neural Networks; Tool-Path Schedule; Springback; Precision Forming; Laser Profilometry; 塑性加工; 板材成形; 高精度; レーザー計測; 知能化成形

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.

渐进成形是一种将金属板拉伸以贴合工具包络表面的过程，该工具包络表面是由工具围绕金属板的相对运动形成的。从无模成形操作的角度来看，渐进成形工艺似乎适合小批量生产，并且也被认为在精密成形操作中很重要。尽管渐进成形具有很大的工具运动自由度，但尚未阐明用于自动推理适当的工具路径计划的算法。为了克服推理适当刀具路径调度的需要，本研究提出了智能渐进成形机的开发以及推理刀具路径调度的算法的建议。所开发的机器配备了激光轮廓仪，用于在线测量钣金产品的形状。通过应用神经网络的自动推理技术，所提出的算法可以根据产品的测量形状推断出刀具路径计划。实验结果表明，该算法适用于精密渐进成形操作（例如无回弹成形操作）中钣金产品形状的在线调整。