支持產(chǎn)品創(chuàng)新設計的重建模型表達與建模方法探討-資料下載頁
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【正文】 Owen JC, St Germain HJD, Stark SR, Henderson TC. Featurebased reverse engineering of mechanical parts, IEEE Transactions on Robotics and Automation, 1999,15 (1): 576613. Ueng WenDer, Lai JiingYih, Doong JiLiang. Surface reconstruction from 3D measured data using translational sweeping, Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, 1999, 20(3):19120014. WenDer Ueng, JiingYih Lai, JiLiang Doong. Sweepsurface reconstruction from threedimensional measured Aided Design,1998,30(10):79180515. JiingYih Lai , WenDer Ueng. Reconstruction of surfaces of revolution from measured points. Computers in Industry, 2000, 41:147–16116. Lin ., Liou ., Lai .. Surfacelofting approach for smoothsurface reconstruction from 3D measurement data. Computers in Industry, 1997, 34(1):738517. Pal Benko, Geza Kos, Tamas Varady etc. Constraints fitting in reverse engineering. Computer Aided Design, 2002,19:173205A representation model of 3D reconstruction object supporting product redesign amp。 innovative design and reconstruction processesJIN Tao Tong Shuiguang(Institute of Chemical Machinery, Zhejiang University, Hangzhou, 310027, China)Abstract: In this paper, an approach is proposed to solve the reconstructed object’s redesign problem in reverse engineering, the conventional approach is to adopt simple analytical surface, Bsplines surface, or NURBS directly fitting to measured points to reconstruct object, but this representation is difficulty if we are going to change object shape, in other words to make redesign and innovative design work. Therefore it is important to correctly represent the reconstructing solid model in which we can easily redesign and modify. Our approach is to adopt parameterization features to represent reconstructing model, reconstruction processes is posed of three steps. In the first step, geometric features are recognized and extracted based on a features matching algorithm, simultaneously constraints between these features also are detected. In the second step, these features are adjusted according to constraints relationship between features to obtain an optimal fitting to measured data points. Finally, the features are applied variational representation and a whole shape cooperative change relationship is established. Thus the reconstructing model will be posed of geometric features, it can be randomly changed by change feature size (size drive), this model meets our requirement of making product shape redesign and innovative design to the extent. The proposed approach is illustrated by means of various examples.Key words: reverse engineering。 object reconstruction。 innovative design。 based on features。 constraints fitting 18 / 1
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