An improved virtual edge approach to slicing of point cloud for additive manufacturing

ABSTRACTAt present, the dense and accurate point cloud has been able to be easily acquired via various 3D measurement devices. In this situation, additive manufacturing (AM) based directly on the point cloud has been paid more attention than before. For direct slicing of the point cloud, an improved virtual edge (VE) approach is proposed. In the method, the process of constructing VEs is first discussed briefly, and then a simple algorithm of sorting contour points is given to process the scattered intersections of the VEs and the slicing plane. Subsequently, the additional points are inserted between the sparse contour points and then the contour points are adjusted onto the underlying nominal surface, thereby forming the final layered contours. Since the proposed method does not involve any nonlinear optimization, it is mathematically robust and has the ability of recognizing and processing correctly the multi-contours on a slicing plane. Finally, several examples are given to validate this method.

[1]  Han Tong Loh,et al.  Error-based segmentation of cloud data for direct rapid prototyping , 2003, Comput. Aided Des..

[2]  John G. Michopoulos,et al.  Implicit slicing for functionally tailored additive manufacturing , 2016, Comput. Aided Des..

[3]  Wei Sun,et al.  Direct slicing of STEP based NURBS models for layered manufacturing , 2005, Comput. Aided Des..

[4]  Sanjay G. Dhande,et al.  Real time adaptive slicing for fused deposition modelling , 2003 .

[5]  Jun Ni,et al.  Constraints Based Nonrigid Registration for 2D Blade Profile Reconstruction in Reverse Engineering , 2009, J. Comput. Inf. Sci. Eng..

[6]  M. H. Chang,et al.  A slicing algorithm of point cloud for rapid prototyping , 2007, SCSC.

[7]  F. Javidrad,et al.  Contour curve reconstruction from cloud data for rapid prototyping , 2011 .

[8]  Xiaoping Qian,et al.  Adaptive Slicing of Moving Least Squares Surfaces: Toward Direct Manufacturing of Point Set Surfaces , 2008, J. Comput. Inf. Sci. Eng..

[9]  Zengxi Pan,et al.  Automatic multi-direction slicing algorithms for wire based additive manufacturing , 2016 .

[10]  Pulak M. Pandey,et al.  Improved intermediate point curve model for integrating reverse engineering and rapid prototyping , 2008 .

[11]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..

[12]  Han Tong Loh,et al.  Modelling cloud data for prototype manufacturing , 2003 .

[13]  Zhang Yingjie,et al.  Adaptive tool-path generation on point-sampled surfaces , 2011 .

[14]  R. Fletcher Practical Methods of Optimization , 1988 .

[15]  Liu Weijun,et al.  B-spline surface reconstruction and direct slicing from point clouds , 2006 .

[16]  Han Tong Loh,et al.  Modelling cloud data using an adaptive slicing approach , 2004, Comput. Aided Des..

[17]  Xionghui Zhou,et al.  Direct slicing of cloud data with guaranteed topology for rapid prototyping , 2011 .