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

• Published in: Results in engineering Vol. 11; p. 100251
• Main Authors: Santhosh, A. Johnson, Tura, Amanuel Diriba, Jiregna, Iyasu Tafese, Gemechu, Wendimu Fanta, Ashok, N., Ponnusamy, Murugan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021; Elsevier
• Subjects: Alloy steel; Artificial neural network; CNC Parameters; Genetic algorithm; Optimization; Response surface methodology; Surface roughness; Alloy steel; Genetic algorithm; CNC Parameters; Surface roughness; Response surface methodology; Artificial neural network; Optimization

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...