...
首页> 外文期刊>Procedia Manufacturing >Modeling and Optimization of surface roughness and microhardness for roller burnishing process using response surface methodology for Aluminum 63400 alloy
【24h】

Modeling and Optimization of surface roughness and microhardness for roller burnishing process using response surface methodology for Aluminum 63400 alloy

机译:使用响应面方法对铝63400合金进行辊抛光的表面粗糙度和显微硬度建模与优化

获取原文
           

摘要

In the present investigation response surface methodology (RSM) is used to fit the quadratic model for surface roughness and microhardness of roller burnishing process on Aluminum alloy 63400 Grade. The desirability function technique is utilized to optimize the responses. Central composite design (CCD) technique is used to prepare the experiment matrix. Single roller carbide burnishing tool is employed for preparing experiment samples. The individual and interaction of effect each controllable parameter is analyzed using analysis of variance (ANOVA) and quadratic regression analysis is performed to compute the correlation coef?cient. It is observed that for surface roughness, feed and for microhardness, force and number of tool passes is the most significant parameter. To find the optimum value for both the responses, desirability function approach is used.
机译:在本研究中,使用响应表面方法(RSM)来拟合63400铝合金表面滚光处理表面粗糙度和显微硬度的二次模型。期望函数技术用于优化响应。中央复合设计(CCD)技术用于准备实验矩阵。使用单辊硬质合金抛光工具制备实验样品。使用方差分析(ANOVA)分析每个可控参数的个体和影响的相互作用,并进行二次回归分析以计算相关系数。可以看出,对于表面粗糙度,进给量和显微硬度而言,力和工具通过的次数是最重要的参数。为了找到两个响应的最佳值,使用了期望函数法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号