A genetic algorithm-based method for the mechanical characterization of biosamples using a MEMS microgripper: numerical simulations

M Verotti; P Di Giamberardino; N P Belfiore; O Giannini

doi:10.1016/j.jmbbm.2019.04.023

A genetic algorithm-based method for the mechanical characterization of biosamples using a MEMS microgripper: numerical simulations

J Mech Behav Biomed Mater. 2019 Aug:96:88-95. doi: 10.1016/j.jmbbm.2019.04.023. Epub 2019 Apr 21.

Authors

M Verotti¹, P Di Giamberardino², N P Belfiore³, O Giannini⁴

Affiliations

¹ Department of Mechanical, Energy, Management and Transportation Engineering, University of Genoa, 16145, Genoa, Italy. Electronic address: matteo.verotti@unige.it.
² Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, 00185, Rome, Italy.
³ Department of Engineering, Roma Tre University, 00146, Rome, Italy.
⁴ Niccolò Cusano University, 00166, Rome, Italy.

PMID: 31029998
DOI: 10.1016/j.jmbbm.2019.04.023

Abstract

In this paper, the viscoelastic characterization of biosamples is addressed considering a measuring technique relying on the use of a MEMS techonology-based microgripper. A proper mechanical model is developed for the coupled nonlinear dynamics of the microsystem, composed of the measuring tool and the specimen to be analyzed. The Maxwell liquid drop model and the generalized Maxwell-Wiechert model are considered for the sample, and the identification of the viscoelastic parameters is performed by implementing a genetic algorithm.

Keywords: Biosamples analysis; Genetic algorithms; MEMS microgripper; Micromanipulation; Parameters estimation; Viscoelastic characterization.

MeSH terms

Algorithms*
Genetics
Materials Testing / instrumentation*
Mechanical Phenomena*
Micro-Electrical-Mechanical Systems*
Models, Theoretical*