Optimization of electrochemical polishing of stainless steel by grey relational analysis

By P. S. Kao, Hong Hocheng. 2003

193 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Materials Chemistry, Metals and Alloys

View Paper: https://www.semanticscholar.org/paper/70de18f2a199b807db1cb02f6398313999c0f59f

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. K. Palanikumar
2. R. Rao
3. J. Paulo Davim
4. Chung-Chen Tsao
5. Hong Hocheng
6. Liangchi Zhang
7. A. Pramanik
8. Y. Şahin

In Materials Chemistry

1. R. Rao
2. J. Paulo Davim

In Metals and Alloys

1. R. Rao

Citations in the corpus

• Analysis on Drilling of Glass Fiber–Reinforced Polymer (GFRP) Composites Using Grey Relational Analysis (2012, background): “The Grey theory provides an efficient management upon the uncertainty, multi-input, and discrete data [22, 23].”
• Electropolishing of surfaces: theory and applications (2017, background): “These properties include corrosion resistance, brightness or reflectivity, hardness, mechanical strength, ductility, internal stress, wear resistance or solderability.(36,37) The properties of electrolyte are usually characterised by electrolytic conductance, which is different from electrical condu”
• Application of Taguchi methods and ANOVA in optimization of process parameters for metal removal rate in electrochemical machining of Al/5%SiC composites (2012, background): “investigated the electrochemical polishing of stainless steel by grey relational analysis by taking surface roughness and passivation strength of electrolyte as responses [3].”