Abstract
The selection of the building orientations is the key to the pretreatment stage of models for additive manufacturing (AM) technology, which plays a significant role in product accuracy, material consumption, printing layout, etc., affecting the economy and time efficiency of printing. In this paper, an automatic selection system of the building orientation based on the double-layer priority aggregation multi-attribute decision-making (DLPA-MADM) method is proposed to select the optimal building orientation (OBO). The priority compensation restricted average (PCRA) aggregation operator is designed to handle the priority relationships among attributes. The alternative building orientations (ABOs) are constructed according to the reference orientations of the surface features via the STEP AP242 file. The models of the surface precision with feature (P&F), printing time (PT), layout area (LA), and support volume (SV) attributes who participate in decision-making are established. According to the tolerances given from the STEP file, the sub-precision values of ABOs for surface features with distinct priorities are aggregated in the first layer to obtain the precision value. Four attributes are aggregated in the second layer with priority to acquire the comprehensive evaluation value (CEV), through the ranking of which, the OBO can be found. The effectiveness and rapidity of the developed system are proved by experiments on the model.
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Yang, Y., Liu, B., Li, H. et al. Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making. J Intell Manuf 34, 2477–2493 (2023). https://doi.org/10.1007/s10845-022-01945-w
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DOI: https://doi.org/10.1007/s10845-022-01945-w