上海交通大学学报

上海交通大学学报（自然版）

• 金属学与金属工艺 • 上一篇    下一篇

响应曲面法在表面粗糙度预测模型及参数优化中的应用

张烘州1，明伟伟1，安庆龙1，陈明1，戎斌2，韩冰2   

  1. (1. 上海交通大学 机械与动力工程学院，上海 200240； 2. 上海飞机制造有限公司，上海 200436)
  • 收稿日期:2009-06-16 修回日期:1900-01-01 出版日期:2010-04-29 发布日期:2010-04-29

Application of Response Surface Methodology in Surface Roughness Prediction Model and Parameter Optimization

ZHANG Hongzhou1， MING Weiwei1， AN Qinglong1， CHEN Ming1, RONG Bin2， HAN Bing2   

  1. (1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. Shanghai Aircraft Manufacturing Co. Ltd, Shanghai 200436, China)
  • Received:2009-06-16 Revised:1900-01-01 Online:2010-04-29 Published:2010-04-29

摘要： 分析了切削速度、进给量和切削深度对表面粗糙度的影响规律，提出了一种车削难加工材料钛合金TC11表面粗糙度的建模方法.采用中心组合设计方法，建立了用于表面粗糙度预测的多元回归模型，运用方差分析检验了该预测模型的拟合度，利用响应曲面法对表面粗糙度建立等值响应曲面，从而可以通过切削参数的优化在保证加工质量的前提下获得更高的材料去除率，实现难加工材料钛合金高效切削.

关键词: 面心组合设计, 响应曲面法, 表面粗糙度, 等值面, 参数优化

Abstract: This paper presented a study of the development of a surface roughness model for finish turning of TC11. The model was developed in terms of cutting speed, feed rate and depth of cut. The multi quadratic regression equation predicting formula for surface roughness was established by means of central composite design of experiment, and variance analyses were applied to check the fitting degree of the predictive model. Then the response surface methodology was used to generate response contours of surface roughness. The experimental results indicate that the material removal rate can be improved by selecting optimal cutting parameters without increasing the surface roughness.

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