Papers by Keyword: Adaptive Slicing

Abstract: This paper presents an adaptive tool path generation method for Fused Deposition Modeling (FDM). The proposed method consists of three steps. First, an adaptive slicing considering both surface quality and building time is proposed for following tool path generation. Second, a hybrid tool path strategy is introduced to improve the boundary contours accuracy. This step is an adaptive process to choose an appropriate proportional relationship between the two types of tool paths according to the specific fabrication requirements. For further improvement, a tool path adjustment is employed on the original tool paths. A case study of a sliced layer is used to verify the feasibility and advantage of the proposed method.

Abstract: An adaptive slicing algorithm based on stereo lithography (STL) model was proposed in order to improve the forming precision of product in rapid prototyping. In the algorithm, the topological information of STL model was established, and the relationship between triangle facet and vertexes was constructed. And the adaptive slicing process based on STL model was implemented using the proposed method with combination of intersection points tracking and marking. The slicing thickness was automatically calculated according to the area differential ratio of adjacent slices.

Abstract: Fused Deposition Modeling (FDM) is one of the most popular Rapid Prototyping (RP) techniques. Initially used as means of producing 3D prototypes aiding in rapid product development, FDM found a significant application in medical models and with machine and material improvements is currently destined to be a true manufacturing process, challenging some of the traditional approaches. The material characteristics and part qualities however, are inferior, considering the heterogeneous structures characterized by the air gaps resulting from raster orientations. Current research is focused on improving the mesostructure through appropriate deposition schemes, adaptive slicing being one of the approaches. This paper reviews some of the adaptive slicing schemes and discusses software and hardware developments undertaken for the practical implementation of one of the schemes for producing test parts.

Abstract: In this paper , key techniques of feature extraction in reverse engineering is studied. First use a method to extract the feature points from scattered points based on Gauss curvature extreme point. Use these feature points to make cloud data segmentation. Then quadric surface feature and free-form surface feature can be separated. The quadric surface feature can be fitted by quadric surface parameter equation with LSM directly. However the free-form surface feature should be extracted based on section feature recognition. This method has several steps: First ,a adaptive slicing algorithm is used to get section data from point data . Then feature points from section data is extracted. And these feature points are regarded as the gist to recognize section feature. When the section feature is recognized, they should be fitted with LSM, and then skinning method is used to reconstruct free-form surface modeling.

Abstract: The asynchronous linear hotwire cutting (ALHC) system of expandable polystyrene (EPS) foam is a new rapid prototyping (RP) technology, which uses the asynchronous linear hotwire cutter and EPS foam to fabricate the part. The efficiency and capacity of ALHC system depends significantly on the pre-process of STL model. This paper presents an original algorithm for adaptively decomposing a STL model into a set of variable slices, which can be efficiently fabricated by ALHC system. A large complex model is first partitioned into several smaller and simpler sub-models by using the curvature-based partitioning. Then, these sub-models are sliced into layers with different thickness based on feature facets. Several experimental results demonstrate the reliability and efficiency of the slicing algorithm.