首页> 外文期刊>International Journal of Engineering Studies >Investigation and Optimization of Surface Roughness for Wire Cut Electro Discharge Machining of SS 304L using Taguchi Dynamic Experiments
【24h】

Investigation and Optimization of Surface Roughness for Wire Cut Electro Discharge Machining of SS 304L using Taguchi Dynamic Experiments

机译:利用Taguchi动态实验研究和优化SS 304L线切割放电加工的表面粗糙度。

获取原文
获取原文并翻译 | 示例
           

摘要

Machining parameters tables provided by the machine tool manufacturers often do not meet the operator requirements and sometimes even do no provide efficient guidelines to manufacturing engineers. This may lead to the act of adjustment in the customer's requirements, which may result in poor quality, and ultimately rejection of the final product by them. Hence, a suitable selection of machining parameters of CNC wire cut electro discharge machining (WEDM) process is necessary. In this, present study, optimization of surface roughness using Taguchi's dynamic design of experiments is proposed for WEDM operations. Experimentation was planned as per Taguchi's L'32 (2~1 × 4~4) mixed orthogonal array. Each experiment has been performed under different cutting conditions of gap voltage, pulse ON time, pulse OFF time, wire feed and dielectric flushing pressure. Stainless Steel grade 304L was selected as a work material to conduct the experiments. From experimental results, the surface roughness was determined for each machining performance criteria. Signal to noise ratio was applied to measure the performance characteristics deviating from the actual value. Finally, experimental confirmation was carried out to identify the effectiveness of this proposed method.
机译:机床制造商提供的加工参数表通常不满足操作员的要求,有时甚至无法为制造工程师提供有效的指导。这可能会导致调整客户要求的行为,从而可能导致质量下降,并最终导致最终产品被他们拒绝。因此,需要适当选择CNC线切割放电加工(WEDM)工艺的加工参数。在本研究中,提出了使用田口的动态实验设计来优化表面粗糙度的WEDM操作。根据Taguchi的L'32(2〜1×4〜4)混合正交阵列计划进行实验。每个实验都是在不同的切割条件下进行的,例如间隙电压,脉冲开启时间,脉冲关闭时间,送丝和电介质冲洗压力。选择304L不锈钢作为工作材料进行实验。根据实验结果,确定每种加工性能标准的表面粗糙度。应用信噪比来测量偏离实际值的性能特征。最后,进行了实验确认,以验证该方法的有效性。

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