Optimization of CNC turning parameters using face centred CCD approach in RSM and ANN-genetic algorithm for AISI 4340 alloy steel

Optimization of CNC turning parameters using face centred CCD approach in RSM and ANN-genetic algorithm for AISI 4340 alloy steel

AISI 4340 alloy steel is used in a wide range of industrial applications due to its improved hardness, toughness, fatigue, and wear resistance. The surface roughness of AISI 4340 alloy steel components in a typical CNC machine is minimized using CNC machining parameters such as feed rate, rotational...

Full description

Bibliographic Details
Main Authors: A. Johnson Santhosh, Amanuel Diriba Tura, Iyasu Tafese Jiregna, Wendimu Fanta Gemechu, N. Ashok, Murugan Ponnusamy
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Results in Engineering
Subjects:
Alloy steel
CNC Parameters
Surface roughness
Response surface methodology
Artificial neural network
Genetic algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123021000529

Internet

http://www.sciencedirect.com/science/article/pii/S2590123021000529

Similar Items