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

该项目涉及使用神经网络对制造过程进行自适应控制。提出了一种在并行计算环境中应用神经网络的方法。此外，设计了一种并行递归最小二乘算法来训练递归神经网络。完成线上和线下培训。通过计算机模拟和实验室实验，将该方法应用于三维立铣削过程中切削力的控制问题，验证了该方法的有效性。* * * / /

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.*** //