A machine learning-based classification model to identify the effectiveness of vibration for µEDM
Micro electro-discharge machining (µEDM) uses electro-thermal energy from repetitive sparks generated between the tool and workpiece to remove material from the latter. However, one of the bottlenecks of µEDM is the phenomenon of short circuits due to the physical contact between the tool and deb...
Saved in:
Main Authors: | Mollik, Md Shohag, Saleh, Tanveer, Nor, Khairul A.M., Mohamed Ali, Mohamed Sultan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/95863/7/95863_A%20machine%20learning-based%20classification%20model.pdf http://irep.iium.edu.my/95863/ https://www.sciencedirect.com/science/article/pii/S1110016821008589/pdfft?md5=c578dbbd512bb54f6cbcf8ea8696bada&pid=1-s2.0-S1110016821008589-main.pdf https://doi.org/10.1016/j.aej.2021.12.048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A machine learning-based classification model to identify the effectiveness of vibration for µEDM
by: Mollik, Md. Shohag, et al.
Published: (2022) -
Finite element analysis of material removal rate for Si wafer using heat-assisted µEDM
by: Daud, Noor Dzulaikha, et al.
Published: (2021) -
Modular ultrasonic vibration device for micro electrodischarge machining
by: Saleh, Tanveer, et al.
Published: (2019) -
Material independent effectiveness of workpiece vibration in μ-EDM drilling
by: Singh, Siddhartha Kumar, et al.
Published: (2022) -
Experimental study on improving μ-
WEDM and μ-EDM of doped silicon by
temporary metallic coating
by: Saleh, Tanveer, et al.
Published: (2015)