• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Arabian Journal for Science and Engineering >Optimization of Machining Conditions for Surface Quality in Milling AA7039-Based Metal Matrix Composites
【24h】

Optimization of Machining Conditions for Surface Quality in Milling AA7039-Based Metal Matrix Composites

机译：铣削AA7039基金属基复合材料表面质量的加工条件优化。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the present study, aluminium 7039-based 10% weight fraction of SiC and 10% metal matrix composites (MMCs) were produced by powder metallurgy and investigated the influential machining parameters on surface quality using an uncoated carbide tool under dry cutting environment. The experiments were performed based on Taguchi's ( with a mixed orthogonal array. The optimal cutting parameters for better surface finish were defined using signal-to-noise (S / N) ratio, central composite desirability function and regression analysis. Experimental results showed that the finished surface was significantly affected by the interfacial bonding effect of reinforcement particles and built-up edge formation. Better surface roughness was obtained in the milling of AA7039/-MMCs. The analysis findings indicated that the most significant cutting parameters on the finished surface were the cutting speed and feed rate. The cutting depth was not shown to have a meaningful correlation with surface quality in the milling of both MMCs. Artificial neural network was produced a low prediction error as compared to the regression modelling.
机译：在本研究中，通过粉末冶金生产铝7039基重量百分比为10％的SiC和10％金属基复合材料（MMCs），并研究了在干切削环境下使用非涂层硬质合金刀具对表面质量的影响加工参数。实验基于Taguchi's（带有混合正交阵列）进行。使用信噪比（S / N），中心复合合意函数和回归分析确定了用于获得更好表面质量的最佳切削参数。 AA7039 / -MMCs的铣削加工得到更好的表面粗糙度，增强颗粒的界面结合作用和堆积边缘的形成对精加工表面的影响最大，分析结果表明，精加工表面上最重要的切削参数是切削速度和进给速度两种MMC的铣削均未显示出切削深度与表面质量有显着相关性，与回归建模相比，人工神经网络的预测误差较低。

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