Efficiency of Simulated Annealing Algorithms Used for Improving the In‐Plane Stiffness of Inkjet Printed Composites

The simulated annealing (SA) method is used in this work as to optimize the in‐plane stiffness of composite materials. Various configurations of the composite differ by the spatial distribution of hard voxels. The microstructure is assumed to be periodic, with a given length of periodicity in voxels...

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Bibliographic Details
Published inMacromolecular symposia. Vol. 411; no. 1
Main Authors Vasile, Alexandru, Coropeţchi, Iulian Constantin, Constantinescu, Dan Mihai, Sorohan, Ştefan, Picu, Catalin Radu
Format Journal Article
LanguageEnglish
Published Weinheim Wiley Subscription Services, Inc 01.10.2023
Subjects
Algorithms
Composite materials
Inkjet printing
Microstructure
Periodicity
Simulated annealing
Spatial distribution
Stiffness
stiffness optimization
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Summary:The simulated annealing (SA) method is used in this work as to optimize the in‐plane stiffness of composite materials. Various configurations of the composite differ by the spatial distribution of hard voxels. The microstructure is assumed to be periodic, with a given length of periodicity in voxels in each of the two directions. The solution is obtained using the PyAnsys software under an MIT License, which is a collection of Python packages that enable the usage of ANSYS products. The SA algorithms prove to be very efficient, as they result in obtaining the one of the first three maximum values for the stiffness objective function for at least 98 out of 100 random trials. Therefore, SA can be successfully used for the microstructural design of composites at a fraction of the computational cost required by the brute force approach.
ISSN:1022-1360
1521-3900
DOI:10.1002/masy.202200191