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Multi-parameter optimization tool for the identification of mechanical properties in additively manufactured composites

An algorithm for the identification of mechanical properties in additively manufactured fiber-reinforced composite systems has been developed. The algorithm is based on classical laminate theory (CLT) [1], and in order to acquire the elasticity, shear moduli, and the Poisson ratio, takes raw experimental data for several layer configurations. The data is analyzed and fitted using a genetic optimization algorithm which returns the set of eight variables corresponding to the mechanical properties of the material.

experimental determination, composite materials, additive manufacturing, fitting algorithms, constitutive model updating

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