scholarly journals Video based Process Observations of the Pulse Electrochemical Machining Process at High Current Densities and Small Gaps

Procedia CIRP ◽  
2014 ◽  
Vol 14 ◽  
pp. 418-423 ◽  
Author(s):  
Andreas Rebschläger ◽  
Rouven Kollmannsperger ◽  
Dirk Bähre
2011 ◽  
Vol 204-210 ◽  
pp. 1830-1834
Author(s):  
Zhao Long Li ◽  
Shi Chun Di

The method of machining deep hole on Ni-base alloy which can tolerant high temperature by pulse electrochemical machining has been proposed in this paper. Five technical parameters are discussed on the effect of mass removal rate of machining process. Establish a dynamic math model, and analyze the effect of process parameters on the mass material removal rate of deep small holes. Machining accuracy of deep small holes was analyzed.


2015 ◽  
Vol 651-653 ◽  
pp. 732-737
Author(s):  
Philipp Steuer ◽  
Andreas Rebschläger ◽  
Alexander Ernst ◽  
Dirk Bähre

The Pulse Electrochemical Machining Process is an innovative, non-conventional process, based on the Electrochemical Machining process. Herein, pulsed current instead of constant current and a feed overlaid mechanical vibration of the tool electrode allows a higher precision and copying accuracy in contrast to the well-established ECM process. Yet, in this context the pulse-pause time and the length of the pulse on-time used in the process cause changes in the material removal while processing and therefore influences the processing result as well as cycle times and other industry relevant criteria. Understanding these pulse- and process specific changes is a key to the process design for industrial applications, since different sets and variations in parameters also change the final form and surface topography. This contribution shows, at the example of two materials 1.4301 and electrolytic copper, how a machining process can be designed and calculated based on material specific data. The way to acquire the necessary material data sets using industrial equipment, as well as the use and information which can be drawn from the data will be addressed.


2021 ◽  
Author(s):  
Yanfang Song ◽  
Joao R. C. Junqueira ◽  
Nivedita Sikdar ◽  
Denis Öhl ◽  
Stefan Dieckhöfer ◽  
...  

Author(s):  
Yanfang Song ◽  
Joao R. C. Junqueira ◽  
Nivedita Sikdar ◽  
Denis Öhl ◽  
Stefan Dieckhöfer ◽  
...  

2021 ◽  
pp. 2104243
Author(s):  
Xinyue Wang ◽  
Shaohua Feng ◽  
Weichao Lu ◽  
Yingjie Zhao ◽  
Sixing Zheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document