• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2002 International Conference on Process Modeling in Powder Metallurgy amp; Particulate Materials Oct 28-29, 2002 Newport Beach, California >MODELLING OF CONDUCTIVITY VERSUS DENSITY BEHAVIOUR IN GREEN-STATE POWDER METALLURGY COMPACTS
【24h】

MODELLING OF CONDUCTIVITY VERSUS DENSITY BEHAVIOUR IN GREEN-STATE POWDER METALLURGY COMPACTS

机译：绿态粉末冶金复合材料的电导率与密度行为模型

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

Work at WPI has recently resulted in the development of an electrostatic multi-pin instrument capable of testing green-state compacts directly following compaction. By monitoring a static electric current flow through the sample and recording the voltages over the surface valuable information is gathered, leading to the prediction of surface-breaking and subsurface defects. While crack detection requires the determination of large differences in material properties over small flaw sizes, density prediction requires the detection of small changes in material properties over large regions. In this paper a physical model and a mathematical formulation are reported, which are capable of relating green-state density changes to electric conductivity in the presence of various lubricant concentrations. Preliminary electrostatic measurements of cylindrical compacts have thus far confirmed the theoretical model assumptions, showing that the electric conductivity follows indeed a complex behavior that is determined by the type and concentration of the lubricant. Specifically, the green state conductivity increases as the sample density increases up to values of approximately 6.9 - 7.0 g/cm~3. Any further density increase, however, results in a decrease in conductivity.
机译：WPI的工作最近导致了一种静电多针仪器的开发，该仪器能够在压实后立即测试绿色状态的压块。通过监测流过样品的静态电流并记录表面电压，可收集有价值的信息，从而预测表面破裂和表面缺陷。裂纹检测需要确定较小缺陷尺寸上材料性能的较大差异，而密度预测则需要检测较大区域上材料性能的较小变化。本文报道了物理模型和数学公式，它们能够在各种润滑剂浓度下将绿态密度变化与电导率相关联。到目前为止，对圆柱形压坯的初步静电测量已经证实了理论模型的假设，表明电导率确实遵循复杂的行为，该行为由润滑剂的类型和浓度决定。具体地，当样品密度增加到大约6.9-7.0g / cm〜3的值时，绿态电导率增加。但是，任何进一步的密度增加都会导致电导率降低。

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