| XIA Wei,DU Zheng,YU Sheng-rui,LIAO Xiao-ping.Optimization Modeling and Simulation on Deposition Rate of Air Spray Painting[J],39(3):29-33 |
| Optimization Modeling and Simulation on Deposition Rate of Air Spray Painting |
| Received:March 03, 2010 Revised:June 10, 2010 |
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| DOI： |
| KeyWord:genetic algorithm Bayes normalization algorithm deposition rate model optimization modeling |
| Author | Institution |
| XIA Wei |
College of Mechanical Engineering, Guangxi University, Nanning , China |
| DU Zheng |
College of Mechanical Engineering, Guangxi University, Nanning , China |
| YU Sheng-rui |
College of Mechanical Engineering, Guangxi University, Nanning , China |
| LIAO Xiao-ping |
College of Mechanical Engineering, Guangxi University, Nanning , China |
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| Abstract: |
| Deposition rate model of air spray painting is important for determining technological parameters in automatic trajectory programming.Based on the experimental datas of elliptical paint pattern,and in order to build the film model of realistic operating conditions,the deposition rate model is fitted by using the Bayes normalization algorithm and genetic algorithm respectively.The result shows that all the two models have the high precision. However, compared with Bayes normalization algorithm, the genetic algorithm converges faster and can obtain a definite function expression of the paint deposition rate model. So genetic algorithm is better than Bayes normalization algorithm in modeling deposition rate. |
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