An efficient determination algorithm on slicing direction is proposed to reduce the volume deviation between fabrication entity and its theoretical model in layered manufacturing applications such as 3D printing. The cause of volume deviation and its mathematical model are analyzed
and the results show that the optimal slicing direction with the least volume deviation is a unit vector with the minimum value in the sum of absolute inner products of the vector and the area weighted normal vector of model facets. Thus
the problem to determine the optimal direction is converted into a linear regression problem with the least absolute deviation. The least absolute deviation norm is approximated by using the least squares norm and the principal component analysis method is used to process eigenvalue decomposition on the scatter matrix of weighted normal vecter. The optimal direction is then efficiently determined from the eigenvectors. Experiments on several models with different complexity show that the proposed algorithm reduces 80% of the computation load on the premise of guarantee accuracy
and is suitable for layered manufacturing of complex models.
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