In this paper, a novel technique for the viscoelastic characterization of biosamples is presented. The measuring tool consists of MEMS-technology based tweezers that are used, in general, to perform micromanipulation tasks. A mechanical model is developed for the nonlinear dynamics of the microsystem, composed of the tweezers and of the sample to be analyzed. The Maxwell liquid drop constitutive law is considered for the sample. The identification of the viscoelastic parameters is performed by implementing a genetic algorithm.
2020, Proceedings of XXIV AIMETA Conference 2019, Pages 920-931
A genetic algorithm for the estimation of viscoelastic parameters of biological samples manipulated by mems tweezers (04b Atto di convegno in volume)
Verotti M., Di Giamberardino P., Belfiore N. P., Giannini O.
ISBN: 978-3-030-41056-8; 978-3-030-41057-5
Gruppo di ricerca: Nonlinear Systems and Control