PLSP based layered contour generation from point cloud for additive manufacturing

Abstract This paper presents a new Planar Least-Squares Projection (PLSP) method to accurately construct the layered contours directly from the point cloud for additive manufacturing. With the rapid development of 3D measuring technology, the dense and accurate point cloud, which can represent more accurate geometry information of a physical object than before, has been readily available. Additive manufacturing based directly on such point cloud is considered to be a promising alternative for fabricating the complex parts, but it requires the research on effective processing methods of the point set surface. In this paper, the presented PLSP method addresses this technical challenge for additive manufacturing. Mathematical modeling and processing of point cloud are presented to identify projections and construct accurate layered contours by considering both the least-square projection errors and projection distance selection criteria from measured point cloud. Technique of assigning new set of weights on measure scattered point cloud is discussed to achieve accurate layered contour development. The presented PLSP method with the new weight function and the consideration of point cloud deviation distances in sliced contour development is able to avoid the occurrence of the wrong projection that many other current methods suffer from. Technique of integrating the presented PLSP with the boundary point sequence curve (PSC) method is also discussed in this paper to eliminate contour development errors by considering the similarity in shape and closeness in distance for the ideal layered contours. Since this presented method does not involve the non- linear optimization, it is mathematically robust, and it can ensure the constructed layered contours lie accurately on the underlying nominal surface, and also has the ability of recognizing and processing the multi-contours on a common slicing plane. Both computational and experimental results based on the presented method are presented for validation.

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

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

[3]  In-Kwon Lee,et al.  Curve reconstruction from unorganized points , 2000, Comput. Aided Geom. Des..

[4]  Weiyin Ma,et al.  NURBS-based adaptive slicing for efficient rapid prototyping , 2004, Comput. Aided Des..

[5]  Prem Kumar Kalra,et al.  Direct layered manufacturing of point sampled objects , 2004, Int. J. Manuf. Technol. Manag..

[6]  Han Tong Loh,et al.  An adaptive slicing approach to modelling cloud data for rapid prototyping , 2003 .

[7]  Xiaoping Qian,et al.  Adaptive NC Path Generation From Massive Point Data With Bounded Error , 2008 .

[8]  Phillip N. Azariadis.  Parameterization of clouds of unorganized points using dynamic base surfaces , 2004, Comput. Aided Des..

[9]  I Zein,et al.  Mechanical properties and cell cultural response of polycaprolactone scaffolds designed and fabricated via fused deposition modeling. , 2001, Journal of biomedical materials research.

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

[11]  Nickolas S. Sapidis,et al.  Drawing curves onto a cloud of points for point-based modelling , 2005, Comput. Aided Des..

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

[13]  Vadim Shapiro,et al.  Homogenization of material properties in additively manufactured structures , 2016, Comput. Aided Des..

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

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

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

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

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

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

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

[21]  Yinghong Peng,et al.  Direct tool path regeneration for physical object modification from digitized points in reverse engineering , 2007 .

[22]  Hong-Tzong Yau,et al.  Generating NC tool paths from random scanned data using point-based models , 2009 .

[23]  W. K. Chiu,et al.  Direct 5-axis tool-path generation from point cloud input using 3D biarc fitting , 2008 .

[24]  Seyoun Park,et al.  Direct Slicing of a Point Set Model for Rapid Prototyping , 2004 .

[25]  Jun-Hai Yong,et al.  Automatic least-squares projection of points onto point clouds with applications in reverse engineering , 2006, Comput. Aided Des..

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

[27]  Wang Qifu,et al.  Tool-path generation from densely scattered measure points based on CQEM , 2006 .

[28]  Paul F. Jacobs,et al.  Rapid Prototyping & Manufacturing: Fundamentals of Stereolithography , 1992 .

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

[30]  Robert Sitnik,et al.  The hybrid contact–optical coordinate measuring system , 2011 .

[31]  L. Froyen,et al.  Binding Mechanisms in Selective Laser Sintering and Selective Laser Melting , 2004 .

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

[33]  N. Venkata Reddy,et al.  Slicing procedures in layered manufacturing: a review , 2003 .

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

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

[36]  L. Murr,et al.  Metal Fabrication by Additive Manufacturing Using Laser and Electron Beam Melting Technologies , 2012 .