Abstract
In multilevel or additive production, reduction of the total manufacturing duration is crucial. This may be achieved by harmonizing assembly and production time and by simultaneous collaboration with component manufacturers, thus incurring fewer delays. Here, a novel approach, the African buffalo-inspired part segregation algorithm, is proposed for optimal structural and functional assemblies in additive manufacturing. A mixed-integer nonlinear programming model is developed to assess the near-term optimum criteria area and dispersed materials in a computational manufacturing context. The number of support substances, total production period and total assembly costs are reduced in the time-reduction approach. A specific swarm intelligence-part-based segregation strategy is used to choose the appropriate number of element assemblages, and a part division strategy that complies with the criteria for transverse effect, dimensions and elevations is applied. The proposed approach is evaluated for structures with conventional and free-form borders using two real-size three-dimensional representations. The results indicate that this method may reduce overall production time compared to the time spent constructing one component, under all investigated circumstances.
Published Version
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