Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method

By A. Noorul Haq, P. Marimuthu, R. Jeyapaul. 2008

404 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e61502775ccee49cf35d0052b382776b379d0425

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. P. Venkata Ramaiah
2. G. Rajyalakshmi
3. Guojian He
4. Lin Gu
5. Jipeng Chen

In Electrical and Electronic Engineering

1. P. Venkata Ramaiah
2. G. Rajyalakshmi
3. Guojian He
4. Lin Gu
5. Jipeng Chen

In Mechanical Engineering

1. P. Venkata Ramaiah
2. G. Rajyalakshmi
3. Guojian He
4. Lin Gu
5. Jipeng Chen

Citations in the corpus

• A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites (2020, background): “The best performance of the TiN-coated HSS twist drill was obtained with a lower cutting point, higher feed rate, and higher cutting speed [163].”
• Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis (2013, positive): “The grey relational analysis based on grey system theory can be used for solving the complicated interrelationships among the multi-responses [4, 9, 10].”