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| 基于CAE和神经网络的切削参数优化 | |
| 引用本文： | 张发平,王丽,闫学彬.基于CAE和神经网络的切削参数优化[J].机床与液压,2007,35(3):28-30,79. |
| 作者姓名： | 张发平 王丽 闫学彬 |
| 作者单位： | 1. 北京理工大学机械与车辆工程学院,北京,100081 2. 河南省焦作师范高等专科学校,河南焦作,454001 3. 河南新飞电器有限公司研究所,河南新乡,453002 |
| 基金项目： | 北京市重点学科建设项目 |
| 摘 要： | 提出了一种以变形加工误差为约束的基于有限元分析和神经网络的切削参数优化方法.针对复杂工件夹具系统在切削过程中的变形问题进行有限元刚度计算,然后通过神经网络的方法拟合切削参数和工件夹具系统变形误差之间的关系.并以加工生产效率最大化为目标,在保证加工精度的前提下优化切削参数.从而实现以工艺成本最小化来提高零件的加工精度. |
| 关 键 词： | CAE 神经网络 切削参数优化 神经网络 切削过程 参数优化 Neural Networks Based Cutting During Parameters 零件 成本最小化 工艺 前提 加工精度 目标 效率最大化 加工生产 关系 变形误差 拟合 优化方法 |
| 文章编号： | 1001-3881（2007）3-028-3 |
| 修稿时间： | 2006-03-13 |
Optimization of Cutting Parameters During Cutting Based on the CAE and Neural Networks |
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| ZHANG Faping,WANG Li,YAN Xuebing.Optimization of Cutting Parameters During Cutting Based on the CAE and Neural Networks[J].Machine Tool & Hydraulics,2007,35(3):28-30,79. | |
| Authors: | ZHANG Faping WANG Li YAN Xuebing |
| Affiliation: | 1. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. Jiaozuo Normal College , Jiaozuo Henan 454001, China; 3. Henan Xinfei Electric Co., Ltd, Xinxiang Henan 453002, China |
| Abstract: | Based on the CAE and neural network,cutting parameters constrained by machining errors caused by the deformation of fixture-workpiece system were optimized.Finite element analysis(FEA) approach was used to calculate the stiffness and the deflection of fixture-workpiece system during machining operation,the relation between machining errors and corresponding cutting parameters was simulated by neural network approach.Cutting parameters were optimized when the production operation efficiency is maximized and machining precision was ensured.Consequently machining precision was improved at the minimum machining cost. |
| Keywords: | CAE Neural network The optimization of cutting parameters |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
