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| Profile Error Evaluation of the Surface Based on Improved Particle Swarm Optimization and Its Visualization |
| ZHANG Xiao-ping, ZHOU Sheng-hua, WANG Jun-ze |
| Nantong University, Nantong, Jiangsu 226019, China |
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Abstract As to the complex surface profile error evaluation is an involved nonlinear optimization problem,using improved particle swarm optimization algorithm combined with the method of subdivision surface and successive approximation,the accuracy calculation of complex surface profile error and the visualization of evaluation result are realized.After the theoretical surface is fitted by double cubic B-spline surface,the mathematical model of surface profile error is created under the minimum condition rule.With the help of subdivision surface and successive approximation,the minimum distance between measuring points and surface is obtained.Based on the analysis of basic particle swarm optimization algorithm,nonlinear dynamic inertial weight factor and hybrid operator are introduced to improve the efficiency and accuracy.Taking VRML as the 3D displaying platform and Java Applet as the controlling core,the surface profile error evaluation is visualized and networked.
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2013, Vol. 34 
