Optimization of flank wear using Zirconia Toughened Alumina (ZTA) cutting tool: Taguchi method and Regression analysis
By N. Mandal, B. Doloi, B. Mondal, R. Das. 2011
219 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/d180de96a1c03cfeae596263158cc2b13bf378a7
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
In Electrical and Electronic Engineering
In Mechanical Engineering
Citations in the corpus
- Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts (2014, methodology): “[18] applied the Taguchi method and regression analysis to assess machinability of AISI 4340 steel with newly-developed zirconia-toughened alumina ceramic inserts.”
- Optimization of surface roughness and cutting force during AA7039/Al2O3 metal matrix composites milling using neural networks and Taguchi method (2015, background): “Where Ri is the obtained value of surface roughness and cutting force for the ith test in that experiment, and n is the number of tests in the trials, a high signal to noise ratio is always preferred [3,26,27]”