High Dimensional Multiscale Concurrent Optimization Towards Additively Manufactured Structures

Lead Research Organisation: Imperial College London
Department Name: Dept of Aeronautics

Abstract

This work establishes a robust multiscale framework for the design of highly optimized and additively-manufacturable structures. A spatially-varying lattice-like structure is optimized by gradually varying a microscale description, represented by a series of unit cells. Each unit cell is derived through a permutation of the microscale parameterization, with each possessing unique material properties. Unit cell properties are derived by homogenizing the results from a periodically-constrained finite-element analysis. A concurrent multiscale approach is used to minimize the number of microscale simulations needed to perform macroscale optimization. This allows the dimensionality of the microscale parameterization to be increased without a significant computational penalty. To increase efficiency, the dimensionality of the microscale parameterization can be altered locally during macroscale optimisation. Preliminary results indicate that novel morphing structures could be achieved using this framework.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509486/1 01/10/2016 30/09/2021
2091769 Studentship EP/N509486/1 01/10/2017 30/09/2021 Ryan Murphy
 
Description A concurrent multiscale optimisation framework has successfully been developed, enabling the optimisation of high-dimensional parameterisations of the microscale, which were intractable using contemporary methods. Results demonstrate reduced functional objectives in comparison to industry standard methods.
Exploitation Route In collaboration with Airbus, it is hoped this technology will be integrated into next generation aircraft.
Sectors Aerospace, Defence and Marine