ISSN:
1662-9752
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
The purpose of this study is to develop two predictive models for burr height in cuttingtitanium alloy plates by using Nd:YAG laser. Firstly, Taguchi method has been used to arrange theexperimental scheme and analyze the results via analysis of mean . The important laser cuttingparameters affecting burr height can be found. It shows that the pressure of assistant gas, thefocusing position and the pulsed frequency are the most important cutting parameters in order. Thenthey have been chosen as the input variables for response surface methodology and used toconstruct a mathematical equation for predicting burr height. Secondly, the laser cutting parametersand experimental results obtained from conducting the schematic arrangement using Taguchimethod and response surface methodology have been treated as training patterns and recallingpatterns for the back-propagation neural network. As a result, a predictive model for burr heightprediction in laser cutting titanium alloy has been established. To verify the accuracy of above twoprediction models, there are 9 sets of experiment have been performed. It shows that the averageerror for predicting burr height by the mathematical equation derived from response surfacemethodology is 5.52% and by the predictive model established by back-propagation neural networkis 4.51%, respectively. Obviously, both predictive models are good enough for the relationalresearch and practical applications. It can be concluded that the procedure used in this research andthe obtaining predictive models can be used practically in correlate industry
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/02/13/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.526.133.pdf
Permalink