Title :
Intelligent prediction of jet shot peening surface roughness
Author :
Ruihong Wang; Jie Xu; Guangyi Li
Author_Institution :
College of Computer and Information Engineering, Heilongjiang University of science and technology, Harbin, China
Abstract :
In order to obtain an effective prediction method about premixed water jet shot peening surface roughness, 2A11 aluminum alloy which always exist in project is used as the experimental material. When we do jet peening strengthen experiment, the pressure, nozzle scanning speed and the target distance are as the influencing parameters, to get experimental data about the influence of parameters on the surface roughness of shot peening. On the basis of experimental data, the wavelet packet method is used to establish the prediction model of shot peening surface roughness. The application of model predicted that wavelet packet model is feasible, reliable, high precision, and has great practical value.
Keywords :
"Rough surfaces","Surface roughness","Wavelet packets","Surface waves","Surface treatment","Predictive models"
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
DOI :
10.1109/ICCSNT.2015.7490859