A New Approach to Optimize the Relative Clearance for Cylindrical Joints Manufactured by FDM 3D Printing Using a Hybrid Genetic Algorithm Artificial Neural Network and Rational Function
Daniel-Constantin Anghel(University of Pitesti), Nicolae–Doru Stănescu(University of Pitesti), Monica Iordache(University of Pitesti), Alin Daniel Rizea(University of Pitesti)
Cited by 10
Related Papers
Printing the Future Layer by Layer: A Comprehensive Exploration of Additive Manufacturing in the Era of Industry 4.0
|Applied Sciences|2024|96
Machine Learning Prediction of Aluminum Alloy Stress–Strain Curves at Variable Temperatures with Failure Analysis
|Journal of Failure Analysis and Prevention|2023|18
A Matlab Neural Network Application for the Study of Working Conditions
|Advanced materials research|2013|17
Ergonomics study on an assembly line used in the automotive industry
|MATEC Web of Conferences|2019|13
Improvement of Process Failure Mode and Effects Analysis Using Fuzzy Logic
|Applied Mechanics and Materials|2013|10