...
首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part B. Journal of engineering manufacture >Performance analysis of process parameters on machining alpha-beta titanium alloy in electrochemical micromachining process
【24h】

Performance analysis of process parameters on machining alpha-beta titanium alloy in electrochemical micromachining process

机译:电化学微机械加工过程中加工α-β钛合金工艺参数的性能分析

获取原文
获取原文并翻译 | 示例
           

摘要

Due to inherent properties of Ti-6Al-4V alloy, it is being used in the application of fuel injector nozzle for diesel engine, aerospace and marine industries. Since the electrochemical micromachining process involves the no heat-affected zone, no tool wear, stress- and burr-free process compared to other micromachining processes, it is widely used in the manufacturing field to fabricate complex shape and die. Hence, it is highly important to compute the optimum input parameters for enhancing the machining characteristics in such machining process. In this study, an attempt has been made to find the influence of the process parameters and optimize the parameters on machining alpha-beta titanium alloy using Taguchi-grey relational analysis. Since applied voltage, micro-tool feed rate, electrolyte concentration and duty cycle have vital role in the process, these parameters have been chosen as the input parameters to evaluate the performance measures such as material removal rate, surface roughness and overcut in this study. From the experimental results, it has been found that micro-tool feed rate has more influence due to its importance in maintaining inter electrode gap to avoid micro-spark generation. It has also been found that lower electrolyte concentration with lower duty cycle produces lower surface roughness with better circularity on machining alpha-beta titanium alloy. The optimum combination has been found using Taguchi-grey relational analysis and verified from confirmation test. It has also been inferred that the multi-response characteristics such as material removal rate, surface roughness and overcut can be effectively improved through the grey relational analysis.
机译:由于Ti-6AL-4V合金的固有性能,它正在应用于柴油机,航空航天和海洋产业的燃料喷射器喷嘴。由于电化学微机械加工过程涉及无热影响区域,而与其他微加工过程相比,没有刀具磨损,应力和无突发过程,因此广泛应用于制造领域以制造复杂的形状和模具。因此,计算用于在这种加工过程中提高加工特性的最佳输入参数非常重要。在本研究中,已经尝试使用Taguchi-灰色关系分析来找到过程参数的影响并优化加工α-β钛合金的参数。由于施加的电压,微工具进料速率,电解质浓度和占空比在该过程中具有至关重要的作用,因此已选择这些参数作为输入参数,以评估本研究中的材料去除率,表面粗糙度和过度的性能测量。从实验结果来看,已经发现,由于其重要性在维持电极间隙中以避免微火花发电,微工具进料速率具有更多影响。还发现,具有较低占空比的较低电解质浓度在加工α-β钛合金上具有更好的圆形度,产生更低的表面粗糙度。已经使用Taguchi-Brey关系分析找到了最佳组合并从确认测试中验证。还推断了通过灰色关系分析可以有效地改善了多响应特性,例如材料去除率,表面粗糙度和过度。

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