Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics

By A. Krishnamoorthy, S. Boopathy, K. Palanikumar, J. Paulo Davim. 2012

195 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/62d076c817aa6ddfc1b461c4c17495b8e79dd9be

How researchers see this paper

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

In Electrical and Electronic Engineering

1. N. Venkateshwaran
2. R. Elansezhian
3. G. Anand
4. N. Alagumurthi
5. M. Ghasemi Baboly
6. R. Bagherian Azhiri
7. Reza Teimouri
8. K. Palanikumar

In Mechanical Engineering

1. N. Venkateshwaran
2. R. Elansezhian
3. G. Anand
4. N. Alagumurthi
5. M. Ghasemi Baboly
6. R. Bagherian Azhiri
7. Reza Teimouri
8. K. Palanikumar

In Mechanics of Materials

1. N. Venkateshwaran
2. R. Elansezhian
3. K. Palanikumar
4. G. Anand
5. N. Alagumurthi

Citations in the corpus

• Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media (2014, methodology): “processes [11–14].”
• Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models (2018, methodology): “[18], use the grey fuzzy system for the optimization of drilling parameters with respect to multiple responses.”