Using adaptive ruled layers for Rapid Prototyping: principles and first results

被引:0
|
作者
de Jager, PJ [1 ]
Broek, JJ [1 ]
Vergeest, JSM [1 ]
机构
[1] Delft Univ Technol, Fac Ind Design Engn, NL-2628 BX Delft, Netherlands
关键词
zero order approximation; first order approximation; comparison; direct adaptive slicing; matching contours; ruled slices;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Current 2.5D layered rapid prototyping has as disadvantage the staircase effect, requiring thin layers to be used to achieve a reasonable accuracy. Slices with inclined outer surfaces can be constructed using linear interpolation between adjacent contours, resulting in ruled slices. A methodology to approximate a given model geometry within a specified accuracy using ruled slices and an adaptive layer thickness is described. This involves matching successive contours and analysing the geometry for curvature and inclination to calculate allowed layerthicknesses. First results show a significant reduction in the number of layers when compared to adaptive slicing using 2.5D layers. A proof-of-concept software, the Delft University of Technology Improved Slicer (DUTIS) has been developed to perform the adaptive slicing using either 2.5D or ruled layers allowing a comparison between the two alternative methods.
引用
收藏
页码:585 / 592
页数:8
相关论文
共 50 条
  • [1] Adaptive ruled layers approximation of STL models and multiaxis machining applications for rapid prototyping
    Koc, B
    Lee, YS
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2002, 21 (03) : 153 - 166
  • [2] 5-AXIS MACHINING AND RULED LAYERS APPROXIMATION OF STL MODELS FOR RAPID PROTOTYPING
    Koc, Bahhatin
    Lee, Yuan-Shin
    [J]. PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN VIRTUAL AND RAPID PROTOTYPING, 2003, : 98 - 105
  • [3] Rapid prototyping of an adaptive noise canceler using GRAPE
    De Coster, L
    Lauwereins, R
    Peperstraete, JA
    [J]. SIGNAL PROCESSING, 1998, 64 (01) : 61 - 70
  • [4] Simulation and rapid prototyping of adaptive control systems using the Adaptive Blockset for Simulink
    Ravn, O
    [J]. ADAPTIVE SYSTEMS IN CONTROL AND SIGNAL PROCESSING 1998, 2000, : 391 - 396
  • [5] Regional adaptive delaminating algorithm for rapid prototyping
    CAI Daosheng*
    [J]. Progress in Natural Science:Materials International, 2005, (01) : 67 - 74
  • [6] Regional adaptive delaminating algorithm for rapid prototyping
    Cai, DS
    Shi, YS
    Huang, SH
    [J]. PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2005, 15 (01) : 66 - 73
  • [7] Organism manufacturing engineering based on rapid prototyping principles
    Xiong, Z
    Yan, YN
    Zhang, RJ
    Wang, XH
    [J]. RAPID PROTOTYPING JOURNAL, 2005, 11 (03) : 160 - 166
  • [8] Design Principles for Rapid Prototyping Forces Sensors Using 3-D Printing
    Kesner, Samuel B.
    Howe, Robert D.
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2011, 16 (05) : 866 - 870
  • [9] How rapid is rapid prototyping? Analysis of ESPADON programme results
    Madahar, BK
    Alston, ID
    Aulagnier, D
    Schurer, H
    Thomas, M
    Saget, B
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2003, 2003 (06) : 580 - 593
  • [10] How Rapid is Rapid Prototyping? Analysis of ESPADON Programme Results
    Bob K. Madahar
    Ian D. Alston
    Denis Aulagnier
    Hans Schurer
    Mark Thomas
    Brigitte Saget
    [J]. EURASIP Journal on Advances in Signal Processing, 2003