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Advanced Machining and Optimization Techniques

TopicLeading institutions, researchers & key papers

This cluster of papers represents the advancements and research trends in Electrical Discharge Machining (EDM), including topics such as micromachining, wire EDM, electrochemical machining, optimization of process parameters, surface modification, and the use of hybrid processes. The papers cover a wide range of studies on material removal rate, Taguchi method, and the influence of various factors on EDM performance.

72
Works

How has Advanced Machining and Optimization Techniques's publication output changed over time?

ScholarIQpublication output · 2004–2024

Output grew0% over the shown period — from 1 works in 2004 to 1 in 2024.

1
2
1
1
4
2
1
1
1
1
2004200820102011201320142016202020232024

What are the most-cited papers on Advanced Machining and Optimization Techniques?

ScholarIQmost cited works
Molecular dynamics simulation of the material removal mechanism in micro-EDM
Xiaodong Yang, Jianwen Guo, Xiaofei Chen, Masanori Kunieda
S140928716. 2010112 Citations
Drilling of Difficult-to-Cut Steel by Electrochemical Discharge Machining
Margareta Coteaţă, H.‐P. Schulze, Laurențiu Slătineanu
S166620827. 201185 Citations
A hybrid process model for EDM based on finite-element method and Gaussian process regression
Wuyi Ming, Guojun Zhang, He Li, Jianwen Guo, Zhen Zhang, Yu Huang, Zhi Chen
The International Journal of Advanced Manufacturing Technology. 201478 Citations
The multi-objective optimization of medium-speed WEDM process parameters for machining SKD11 steel by the hybrid method of RSM and NSGA-II
Guojun Zhang, Zhen Zhang, Wuyi Ming, Jianwen Guo, Yu Huang, Xinyu Shao
The International Journal of Advanced Manufacturing Technology. 201369 Citations
Modeling and Optimization of Medium-Speed WEDM Process Parameters for Machining SKD11
Guojun Zhang, Zhen Zhang, Jianwen Guo, Wuyi Ming, Mingzhen Li, Yu Huang
S166620827. 201367 Citations

Where is Advanced Machining and Optimization Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Advanced Machining and Optimization Techniques is open access?

ScholarIQopen access share
33%OPEN ACCESS
Gold
20%
Green
7%
Hybrid
7%
Bronze
0%
Closed
67%

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