首页> 外文会议>CIRP Conference on Electro Physical and Chemical Machining >Study on Particle Size Distribution of Debris in Electrical Discharge Machining of Deep Narrow Slots
【24h】

Study on Particle Size Distribution of Debris in Electrical Discharge Machining of Deep Narrow Slots

机译:深窄槽放电加工碎片粒度分布研究

获取原文

摘要

Deep narrow slot (DNS) structures can be used in heat-dissipating fins of die-casting molds, grooves in flexible joints of gyros, and slots for inserts in tire molds. However, debris accumulation in the gap makes EDM process unstable and time-consuming, resulting in that slots with high aspect ratio are difficult to achieve. Various methods, such as flushing and electrode jumping, have been used to help evacuate debris and have achieved good results. Nevertheless, these methods treat debris with no distinction under the fact that some debris can naturally leave the gap with bubbles and fluid while the others cannot. This study aims to find out the difference between the easy-to-leave debris and the difficult-to-leave debris from the perspective of the particle size distribution of debris. Factors including currents, machining depths and electrode thicknesses, are studied on their influences on the particle size distribution of debris. In this paper, a laser particle analyzer (LPA) is used to obtain the statistical particle size distribution of debris, while a scanning electronic microscopy is used to observe and record the particle morphology and measure the particle diameters of partial debris. The knowledge of the difference in debris may help seek targeted ways to expel easy-to-leave debris and difficult-to-leave debris.
机译:深窄的槽(DNS)结构可用于压铸模具的散热片,旋转臂柔性接头中的凹槽,以及用于轮胎模具的插入槽。然而,间隙中的碎屑累积使EDM过程不稳定和耗时,导致具有高纵横比的槽难以实现。诸如冲洗和电极跳跃的各种方法已被用于帮助疏散碎片并取得了良好的效果。尽管如此,这些方法在其他碎片可以自然地留下泡沫和液体的事实,这些方法没有区别。本研究旨在从碎片的粒度分布的角度来看易于留下的碎片和难以留下的碎片之间的差异。研究包括电流,加工深度和电极厚度的因素,对其对碎片粒度分布的影响。本文使用激光粒子分析仪(LPA)来获得碎片的统计粒度分布,而扫描电子显微镜用于观察和记录颗粒形态并测量部分碎屑的粒径。对碎片差异的了解可能有助于寻求针对性的方式驱逐易于留下的碎片和难以留下的碎片。

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