Open AccessEnergy Optimization for Milling 304L Steel using Artificial Intelligence Methods
Author(s) -
Kamel Bousnina,
Asma Hamza,
Noureddine Ben Yahia
Publication year - 2022
Publication title -
international journal of automotive and mechanical engineering
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.311
H-Index - 25
eISSN - 2229-8649
pISSN - 2180-1606
DOI - 10.15282/ijame.19.3.2022.05.0765
Subject(s) - machining , energy consumption , productivity , artificial neural network , automotive industry , energy (signal processing) , efficient energy use , automotive engineering , production (economics) , manufacturing engineering , response surface methodology , process engineering , specific energy , agricultural engineering , mechanical engineering , computer science , engineering , artificial intelligence , mathematics , statistics , machine learning , physics , electrical engineering , quantum mechanics , economics , macroeconomics , aerospace engineering