Intelligent layout planning for rapid prototyping

Optimum part orientation in Rapid Prototyping using genetic algorithm

“…Literature reveals that researchers have used fitness function like build height, part quality (staircase error), volume or area of support structures or packing efficiency for optimizing part orientation [3,17,18]. No attempt has been reported to integrate the material utilization into the fitness function particularly considering the hollowing of the parts.…”

Applications of Evolutionary Computing to Additive Manufacturing

“…Other researchers in the area have developed a system (Intellipacker) to obtain optimised build layout for Additive Manufacturing, based on part orientation and packing (Gogate and Pande, 2008). In the first of two stages, the user must rotate individual parts to select 'acceptable' part orientations, based on automated calculations of the overall roughness caused by stairstepping at each orientation.…”

Multi-criteria GA-based Pareto optimization of building direction for rapid prototyping

“…For rapid prototyping processes, build height is an index used to evaluate the manufacturability of a model on a particular rapid prototyping machine. Moreover, build height is also relevant to build time [11][12][13]. Chan and Tan [14] developed an algorithm to test if a 3D model will fit within a cylindrical volume.…”

“…The algorithm can be used to search for the building direction since both the minimum diameter cylinder and the minimum height cylinder can be determined. Optimizing build height is particularly important when packing multiple parts in one setup on a rapid prototyping machine [11,12], where the objective is to maximize the space utilization. Other criteria considered in choosing building direction include support structure, mechanical properties, trapped volumes, etc.…”