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As additive manufacturing (AM) expands into multimaterial, there is a demand for efficient multimaterial topology optimization (MMTO), where one must simultaneously optimize the topology and the distribution of various materials within the topology. The classic approach to multimaterial optimization is to minimize compliance or stress while imposing two sets of constraints: (1) a total volume constraint and (2) individual volume-fraction constraint on each of the material constituents. The latter can artificially restrict the design space. Instead, the total mass and compliance are treated as conflicting objectives, and the corresponding Pareto curve is traced; no additional constraint is imposed on the material composition. To trace the Pareto curve, first-order element sensitivity fields are computed, and a two-step algorithm is proposed. The effectiveness of the algorithm is demonstrated through illustrative examples in 3D.
Mirzendehdel et al. (Fri,) studied this question.