1) wire electrical discharge machining
电火花线切割机理
2) EDM
电火花
1.
Power Supply for Ultrasonic Motor Applicable to EDM;
适合于电火花加工的超声马达驱动电源的研制
2.
Gas Flow Field Simulation During Ultrasonic Vibration Assisted Gas Medium EDM Based on Fluent Software;
基于Fluent的超声振动-气体介质电火花加工气体流场模拟
3.
Machining Curve Surface Cavities of Mould by Trepanning Technology of EDM;
模具型腔三维曲面的电火花套型加工
3) Electrical Discharge
电火花
1.
Numerical simulation of temperature field for electrical discharge strengthened coating;
电火花表面强化层温度场的数值模拟
2.
A new EDM technology-ultrasonic vibration assisted electrical discharge machining in gas was proposed and corresponding experimental equipment was designed.
简述了超声振动辅助气体介质电火花加工原理,并设计开发了相应的实验机床。
3.
The surfaces of U70MnSi and 40Cr were strengthened by a self-made electrical discharge surface strengthening equipment using hard alloy YG-8 and FW-1101 as electric pole.
采用硬质合金YG-8和堆焊焊条FW-1101作电极,在电火花表面强化器上分别处理了U70MnSi钢和40Cr钢的表面。
4) electrospark
电火花
1.
lnterfacial behavior of filled joints by electrospark overlaying;
填充型电火花精密堆焊接头的界面结合行为
2.
Microstructure and properties of electrospark surface strengthening layers;
电火花表面强化层组织结构和性能的研究
3.
Electrospark surface strengthening technique and machine;
电火花表面强化工艺及设备
5) electric spark
电火花
1.
Analysis and verification of the machining mechanism of air mixed electric spark;
混气电火花加工机理的分析及验证
2.
Evaluation of Uncertainty in Determination of Carbon in Low Alloy Steel by Electric Spark-Direct Reading Spectrometry;
电火花直读光谱法测定低合金钢中碳的测量不确定度评定
3.
Determination of Iron,Silicon,Copper,Manganese,Magnesium, Titanium and Zinc in Pure Aluminum Sheets by Electric Spark Direct Reading Spectrometry;
电火花-直读光谱法测定纯铝薄板中的Fe、Si、Cu、Mn、Mg、Ti、Zn
6) electric explosive device
电火工品
1.
The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions,then the no-firing current of the electric explosive device was predicated using the Rosenthal mathematical model and the back-propagation(BP) artificial neural network model.
通过瞬态脉冲无损检测试验得到桥丝式电火工品的电阻和集总热散失系数等电热响应参数,利用这些电热响应参数分别采用Rosenthal的集总热参数模型和BP神经网络模型方法预测电火工品的安全电流。
2.
The electric-thermal parameters of the bridgewire electric explosive device was measured with the non-destructive transient pulse test system,then the function tim of the electric explosive device was forecasted using the meathematical model and the artificial neural network model.
结果表明,人工神经网络方法与电火工品瞬态脉冲无损检测技术相结合,用来预测电点火头的发火时间,是电火工品瞬态脉冲无损检测领域的一条新的途径。
3.
A monitoring system scheme for non-contact, lossless reliability test of electric explosive device (EED) was proposed based on an analysis of all kinds of factors affecting EED reliability test especially the artificial and environmental factors.
本文在分析电火工品可靠性试验影响试验可靠性的各种因素、尤其是人为因素和环境因素的基础上 ,根据国军标要求和电磁学原理 ,提出了一种非接触式的电火工品可靠性试验无损耗监测系统方案。
参考词条
补充资料：切割线定理
Image:1179021677260055.jpg
切割线定理
切割线定理 从圆外一点引圆的切线和割线，切线长是这点到割线与圆焦点的两条线段长的比例中项
几何语言：∵pt切⊙o于点t，pba是⊙o的割线
∴pt2=pa·pb（切割线定理）
推论 从圆外一点因圆的两条割线，这一点到每条割线与圆的焦点的两条线段长的积相等
几何语言：∵pba、pdc是⊙o的割线
∴pd·pc=pa·pb（切割线定理推论）
说明：补充资料仅用于学习参考，请勿用于其它任何用途。