The Applied Research on Improved Design of Product Forms Based on Reverse Engineering Technology

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Abstract:

The improved design of the form of product is related to the free-form surface treatment, but the use of the product which forms the point cloud data to obtain a satisfactory surface reconstruction is difficult. NURBS surface fitting technique, the appearance of the product first be classified according to form, and then accordingly the product shape reconstruction, it is much easier. Facts have proved that the conditions does not require high precision, the use of NURBS fitting to reconstruct the free surface able to obtain a satisfactory product form. This improved design of the product form is practical.

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89-93

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Xiaojie, editor. Product design [M]. Version 1. Beijing: Higher Education Press, (2003).

Google Scholar

[2] Jin Tao, Tong Shuiguang on ed. Reverse engineering [M]. Version 1. Beijing: Mechanical Industry Press, (2003).

Google Scholar

[3] Peng Wei. NURBS Surface Reconstruction in Reverse Engineering [J]. Nanjing University of Science and Technology Vol. (2004).

Google Scholar

[4] Yu-Ming Zhao, Zhang Guozhong Zhefeng. Car reverse design using NURBS fitting point cloud data [J]. Northeastern University (Natural Science Edition), 2005, 26 (7) : 680-682.

Google Scholar

[5] M.P. Vani, Computer Aided Interactive Process of Teaching Statistics Methodology - II, IEIT Journal of Adaptive & Dynamic Computing, 2011(3), Jul 2011, pp: 18-21. DOI=10. 5813/www. ieit-web. org/IJADC/2011. 3. 4.

DOI: 10.5813/www.ieit-web.org/ijadc/2011.3.4

Google Scholar

[6] Zhou Y. Y, Measuring Service Quality at University's Libraries, IEIT Journal of Adaptive & Dynamic Computing, 2011(3), Jul 2011, pp: 22-25. DOI=10. 5813/www. ieit-web. org/IJADC/2011. 3. 5.

DOI: 10.5813/www.ieit-web.org/ijadc/2011.3.5

Google Scholar

[7] Li G.F., Kong J.Y., Jiang G.Z., Xie L.X., Jiang Z.G., Zhao G., Xu S. Q, Hybrid Intelligent Control of Coke oven, IEIT Journal of Adaptive & Dynamic Computing, 2011(4), Oct 2011, pp: 25-33. DOI=10. 5813/www. ieit-web. org/IJADC/20114. 4.

DOI: 10.5813/www.ieit-web.org/ijadc/2011.4.4

Google Scholar

[8] Liu K. H, the Classification of Microarray Data Using Evolutionary Classifier Ensemble System, IEIT Journal of Adaptive & Dynamic Computing, 2011(4), Oct 2011, pp: 34-39. DOI=10. 5813/www. ieit-web. org/IJADC/20114. 5.

DOI: 10.5813/www.ieit-web.org/ijadc/2011.4.5

Google Scholar