Abstract
Build time and accuracy are two contradicting issues that have been a major concern in rapid prototyping, and have led to the development of many slicing approaches including those applying adaptive slicing, direct slicing, and adaptive direct slicing concepts. Presented in this paper is an approach for adaptive direct slicing that applies image processing technique to determine appropriate thickness for each sliced layer and to recommend slicing positions on a 3D CAD model. Two orthogonal views of a model are captured and converted to be edge images before being analyzed, and based on the surface complexity on the two edge images, slicing positions are recommended. These positions are passed to the CAD software for slicing activities. This adaptive direct slicing approach has been implemented on LabVIEW platform and compared with uniform direct slicing approach and uniform cusp height approach. The results show that this slicing approach improved slicing performance by reducing the number of layer which has a direct impact on build time while maintaining surface quality at the same level as the thin uniform direct slicing. Since its inputs are the images of a CAD model instead of the model itself, this adaptive direct slicing supports any CAD software.
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References
Chua CK, Leong KF (2000) Rapid prototyping: principles and applications in manufacturing. World Scientific, Singapore
Radstok E (1999) Rapid tooling. Rapid Prototyping J 4:164–168
Jamieson R, Hacker H (1995) Direct slicing of CAD models for rapid prototyping. Rapid Prototyping J 1:4–12
Hope RL, Jacobs PA, Roth RN (1997) Rapid prototyping with sloping surfaces. Rapid Prototyping J 3:12–19
Sabourin E, Houser SA, Bøhn JH (1996) Adaptive slicing using stepwise uniform refinement. Rapid Prototyping J 2:20–26
Pandey PM, Reddy NV, Dhande SG (2003) Slicing procedures in layered manufacturing: review. Rapid Prototyping J 9:274–288
Divesh RS, Boppana VC, Fahraz FA, Raj B (2008) Slicing issues in CAD translation to STL in rapid prototyping, Proceedings of the 2008 IAJC–IJME International Conference
Houtmann Y, Delebecque B, Barlier C (2009) Adaptive local slicing in stratoconception by using critical points. Advances in Production Engineering & Management J 4:59–68
Patil VN, Patil AA, Kumavat SA (2008) Reduction of stairase curvature effect on surface finish in adaptive slicing by TruSurf system, Emerging Trends in Engineering and Technology (ICETET ‘08), First International Conference, pp 721–724
Daekeon A, Hochan K, Seokhee L (2009) Surface roughness prediction using measured data and interpolation in layered manufacturing. J Mater Process Technol 209:664–671
Mohammad TH, Bahram A (2009) Machine path generation using direct slicing from design-by-feature solid model for rapid prototyping. Int J Adv Manuf Technol. doi:10.1007/s00170-009-1944-8
Zhao Z, Laperriere L (2000) Adaptive direct slicing of the solid model for rapid prototyping. Int J Prod Res 38:69–83
Lee K (1999) Principles of CAD/CAM/CAE systems. Addison Wesley Longman, Boston
Chua CK, Leong KF (1997) Rapid prototyping: principles and applications in manufacturing. Wiley, Singapore
Cao W, Miyamoto Y (2003) Direct slicing from AutoCAD solid models for rapid prototyping. Int J Adv Manuf Technol 21:739–742
Hung SH, Zhang LC, Han M (2003) CS file: an improved interface between CAD and rapid. Int J Adv Manuf Technol 21:15–19
Dolenc A, Makela I (1994) Slicing procedure for layered manufacturing techniques. Comput Aided Design 26:119–126
Sabourin E, Houser SA, Bøhn JH (1997) Accurate exterior, fast interior layered manufacturing. Rapid Prototyping J 3:44–52
Tyberg J, Bohn JH (1998) Local adaptive slicing. Rapid Prototyping J 4:118–127
Suh, Y.S. and Wozny, M.J. (1994) Adaptive slicing of solid freeform fabrication processes. Proceedings of Solid Freeform Fabrication Symposium, Texas, USA, pp 404–411
Kulkarni P, Dutta D (1996) An accurate slicing procedure for layered manufacturing. Comput Aided Design 28:683–697
Pandey PM, Reddy NV, Dhande SG (2003) Slicing procedures in layered manufacturing: a review. Rapid Prototyping J 9:274–288
Luo RC, Chang YC, Tzou JH (2001) The development of a new adaptive slicing algorithm for layered manufacturing system, IEEE, pp 1334–1339
Cormier D, Unnanon K, Sanii E (2000) Specifying non-uniform cusp heights as a potential aid for adaptive slicing. Rapid Prototyping J 6:204–211
Mani K, Kulkarni P, Dutta D (1999) Region-based adaptive slicing. Comput Aided Design 31:317–333
Hope RL, Roth RN, Jacobs PA (1997) Adaptive slicing with sloping layer surfaces. Rapid Prototyping J 3:89–98
Chen X, Wang C, Ye X, Xiao Y, Huang S (2001) Direct slicing from PowerSHAPE models for rapid prototyping. Int J Adv Manuf Technol 17:543–547
Starly B, Lau A, Sun W, Lau W, Bradbury T (2005) Direct slicing of STEP based NURBS models for layered manufacturing. Comput Aided Design 37:387–397
Zhou MY, Xi JT, Yan JQ (2004) Adaptive direct slicing with non-uniform cusp heights for rapid prototyping. Int J Adv Manuf Technol 23:20–27
Sun SH, Chiang HW, Lee MI (2007) Adaptive direct slicing of a commercial CAD model for use in rapid prototyping. Int J Adv Manuf Technol 34:689–701
Ma W, He P (1999) An adaptive slicing and selective hatching strategy for layered manufacturing. J Mater Process Technol 89–90:191–197
Ma W, But WC, He P (2004) NURBS-based adaptive slicing for efficient rapid prototyping. Comput Aided Design 36:1309–1325
Heath M, Sarkar S, Sanocki T, Bowyer K (1998) Comparison of edge detectors: a methodology and initial study. Comput Vis Image Underst 69:38–54
Ding L, Goshtasby A (2001) On the Canny edge detection. Pattern Recogn 34:721–725
Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Prentice-Hall, Upper Saddle River
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Rianmora, S., Koomsap, P. Recommended slicing positions for adaptive direct slicing by image processing technique. Int J Adv Manuf Technol 46, 1021–1033 (2010). https://doi.org/10.1007/s00170-009-2162-0
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DOI: https://doi.org/10.1007/s00170-009-2162-0