Optimization of surface roughness in milling using neural network (NN)
This thesis discuss the Optimization of surface roughness in milling using Artificial Neural Network (ANN).Response Surface Methodology (RSM) and Neural Network implemented to model the end milling process that are using coated carbide TiN as the cutting tool and aluminium 6061 as material due to pr...
Main Author: | Ruzaimi, Zainon |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/1494/ http://umpir.ump.edu.my/id/eprint/1494/1/Ruzaimi_Zainon_%28_CD_5067_%29.pdf |
Similar Items
-
Optimization of surface roughness in milling by using response surface method (RSM)
by: Mohd Aizuddin, Mat Alwi
Published: (2010) -
Surface roughness optimization of face milling operation using Taguchi design method
by: Mohd Azmi, Md Juni
Published: (2008) -
Optimization of surface texture in milling using response surface methodology
by: Syahrizad, Muhamad
Published: (2010) -
Modeling of milling process to predict surface roughness using artificial intelligent method
by: Mohammad Rizal, Abdul Lani
Published: (2009) -
Predicting surface roughness with respect to process parameters using Regression Analysis Models in end milling
by: Adesta, Erry Yulian Triblas, et al.
Published: (2012)