Fine-tuned artificial intelligence model using pigeon optimizer for prediction of residual stresses during turning of Inconel 718

Fine-tuned artificial intelligence model using pigeon optimizer for prediction of residual stresses during turning of Inconel 718

Inconel 718 is a hard-to-machine alloy with very poor machinability and low thermal conductivity. Machining of such alloy is a critical manufacturing issue that should be carefully controlled to obtain machined components with acceptable accuracy and surface integrity. In this paper, hybrid machine...

Full description

Bibliographic Details
Main Authors: Ammar H. Elsheikh, T. Muthuramalingam, S. Shanmugan, Ahmed Mohamed Mahmoud Ibrahim, B. Ramesh, Ahmed B. Khoshaim, Essam B. Moustafa, Badr Bedairi, Hitesh Panchal, Ravishankar Sathyamurthy
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Journal of Materials Research and Technology
Subjects:
Machining
Inconel 718
Machine learning
Particle swarm optimization
Pigeon optimization algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785421011078

Internet

http://www.sciencedirect.com/science/article/pii/S2238785421011078

Similar Items