Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach

By Y. Tzeng, Fu-Chen Chen. 2007

214 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/ef6115109f58c41be4ea3d44955f57f5df97cb71

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. C. Hsu
2. Chung-Chen Tsao
3. J. Kao
4. S. S. Wang
5. Oguzhan Yilmaz
6. M. A. Okka

In Electrical and Electronic Engineering

1. C. Hsu
2. Chung-Chen Tsao
3. J. Kao
4. S. S. Wang
5. Oguzhan Yilmaz
6. M. A. Okka

In Mechanical Engineering

1. C. Hsu
2. Chung-Chen Tsao
3. J. Kao
4. S. S. Wang
5. Oguzhan Yilmaz
6. M. A. Okka

Citations in the corpus

• Optimization of the EDM parameters on machining Ti–6Al–4V with multiple quality characteristics (2010, methodology): “Tzeng and Chen reported the application of fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed EDM process [ 8 ].”