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About this paper
Yu Xing, Yang Liu, Lin Lu
The method embeds manufacturability constraints in topology optimization and uses a learned density network to initialize searches in underrepresented stiffness–conductivity trade-offs. At a 25% volume fraction, network initialization produced 916 manufacturable samples from 1,000 runs, versus 776 for random, with hypervolume 0.0787 versus 0.0675. It reduced iterations per run to 484 from 1,516. Manufacturability is geometric, not a universal fabrication guarantee.
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