Prediction of Torque in Milling by Response Surface Method and Neural Network
The present paper discusses the development of the first-order model for predicting the cutting torque in the milling operation of ASSAB 618 stainless steel using coated carbide cutting tools. The first-order equation was developed using response surface method (RSM). The input cutting parameters wer...
Main Author: | K., Kadirgama |
---|---|
Format: | Article |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/1314/ http://umpir.ump.edu.my/id/eprint/1314/1/Prediction_of__Torque_in_Milling_by_Response_Surface_Method_and_Neural_Network.pdf |
Similar Items
-
Prediction Modeling of Torque in End-milling
by: K., Kadirgama, et al.
Published: (2010) -
Prediction Modelling Of Power And Torque In End-Milling
by: K., Kadirgama, et al.
Published: (2009) -
Fourth Order Torque Prediction Model in End Milling
by: K., Kadirgama, et al.
Published: (2009) -
Response Surface Method and Neural Network to Determine Surface Roughness for Laser Cutting on Acrylic Sheets
by: M. M., Noor, et al.
Published: (2009) -
Artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy
by: Hossain, Mohammad Ishtiyaq, et al.
Published: (2011)