Toward development of a new online tool wear compensation strategy in micro-electro-discharge machining drilling

Author(s):  
C K Nirala ◽  
P Saha

In micro-electro-discharge machining drilling, the problem of tool wear is a well-known fact. In order to minimize the effect of tool wear on the accuracy of fabricated product, an online tool wear monitoring and compensation system needs to be integrated with the micro-electro-discharge machining machine. The existing monitoring and compensation system very much relies on the pulse discrimination. The available systems assume that pulses are isoenergetic and are applicable to a single parametric setting only. In order to make the system more robust, a new pulse discrimination and tool wear compensation strategy which is suitable for a wide range of parametric settings is proposed. In this context, an empirical relationship between “average energy” (AE) and “volume removal per discharge” (VRD) is established and verified with experimental results.

2014 ◽  
Vol 541-542 ◽  
pp. 430-435 ◽  
Author(s):  
C.K. Nirala ◽  
G. Gupta ◽  
A. Agrawal ◽  
P. Saha

Tool wear in μEDM is a serious problem which causes dimensional inaccuracy in the fabricated components. In order to address this issue, tool wear monitoring and compensation in μEDM has become a thrust area of research. The existing tool wear compensation system very much relies on the pulse discrimination (PD), based on the voltage and current signature of discharges. The available PD systems applicable to a fixed process parameter and thus it also makes the existing tool wear compensation system valid only to that parametric setting. In this context, the authors have proposed a new pulse discrimination strategy for μEDM so that it could work at different parametric setting. Therefore, the developed PD strategy could help micro fabrication industry by making the existing tool wear compensation system suitable for any process parameters.


2020 ◽  
Vol 12 (5) ◽  
pp. 168781402091920 ◽  
Author(s):  
Panagiotis Stavropoulos ◽  
Alexios Papacharalampopoulos ◽  
Thanassis Souflas

Tool wear monitoring using vibrations is a complex task, due to various simultaneously occurring vibration sources and due to distortion of the signals acquired. This work investigates the mechanism by which tool wear information is concealed within acquired process-intrinsic vibration signals. Excluding other sources of vibration, such as machine-related, is attempted utilizing process simulations. As a case study, face milling is performed for three different cutting speeds. At first, the resulted simulated wear curves have been compared with experimental ones resulted under the same cutting conditions. Then, a quantification of the effect of tool wear on the acquired signals is presented.


2012 ◽  
Vol 13 (1) ◽  
pp. 702-706 ◽  
Author(s):  
Jaharah A. Ghani ◽  
Muhammad Rizal ◽  
Mohd Zaki Nuawi ◽  
Che Hassan Che Haron

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