Intelligent Control of Cutting Force in Three-Dimensional End Milling Operations Using Neural Networks

使用神经网络智能控制三维端铣加工中的切削力

• 批准号: 9216479
• 负责人: K Krishnamurthy
• 金额: $ 20万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1996-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9216479&HistoricalAwards=false
• 关键词: Intelligent; Control; Cutting; Force; Three

This project involves the use of neural networks for adaptive control of manufacturing processes. A methodology is developed to use neural networks in a parallel computing environment. In addition, a parallel recursive least squares algorithm is designed to train recurrent neural networks. Both on-line and off-line training are accomplished. The methodology is validated by applying it to the problem of controlling the cutting forces in a three-dimensional end milling operation using computer simulations and laboratory experiments.*** //

该项目涉及使用神经网络进行自适应 控制生产过程。开发了一种方法， 在并行计算环境中使用神经网络。在 此外，还提出了一种并行递归最小二乘算法， 用来训练循环神经网络联机和 完成了离线训练。验证了该方法 通过将其应用于控制切削力的问题， 在使用计算机的三维端铣操作中 模拟和实验室实验。* //