Grey–Taguchi method to optimize the milling parameters of aluminum alloy
By Chung-Chen Tsao. 2009
181 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/7be97c10be992b9319a7a92f4ffedbc2af2b73a0
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 cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method (2016, methodology): “Furthermore, Taguchi technique was used successfully, although in different domains, like aluminum alloy [15], superalloy [16], super hardmaterial [17], andmetal matrix composite [18] to determine the effects of control factors on the responses.”
- Optimization of Machining Parameters for end Milling of Inconel 718 Super Alloy Using Taguchi based Grey Relational Analysis (2013, unknown): “In the present study, a linear normalization of the experimental results for surface roughness and material removal rate as shown in Table 5 were performed in the range between zero and one, which is also called grey relational generating [4, 17].”