Open AccessStudy on Optimization of BP-GA Method Applied to Shaft Laser Cladding Repairing Technology
Author(s) -
Hongyu Zhu,
Tao Yuan,
Ge Zhang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/2/022050
Subject(s) - cladding (metalworking) , materials science , laser , artificial neural network , computer science , structural engineering , mechanical engineering , composite material , engineering , optics , artificial intelligence , physics
Laser cladding technique, which has the characteristics of refining microstructure, minimum deformation and high safety during processing, could enhance the strength of work-piece, shorten the repairing cycle and reduce the restoration cost by roughly sixty percent on shaft repairing. Process parameters optimization plays a key role in repairing quality and cost in laser cladding technique. This paper studied the application of YAG laser cladding technique on shaft repairing and which had important sense to popularize laser cladding technology. Through the experimental research and Artificial Neural Network-Genetic Algorithm approach, this technological process for laser cladding showed the capability to improve efficiency and quality of shaft repairing and reduce repairing cost with guarantee of enough bonding strength and no cracks in restoration area by optimization on key parameters like work-piece rotation speed, defocusing amount, powder stream rate.