High Dimensional Multiscale Concurrent Optimization Towards Additively Manufactured Structures
Lead Research Organisation:
Imperial College London
Department Name: 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.
People |
ORCID iD |
Robert Hewson (Primary Supervisor) | |
Ryan Murphy (Student) |
Publications
Murphy R
(2021)
In-loop additive manufacturing constraints for open-walled microstructures
in Additive Manufacturing
Murphy R
(2021)
Multiscale structural optimization with concurrent coupling between scales
in Structural and Multidisciplinary Optimization
Imediegwu C
(2019)
Multiscale structural optimization towards three-dimensional printable structures
in Structural and Multidisciplinary Optimization
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/N509486/1 | 30/09/2016 | 30/03/2022 | |||
2091769 | Studentship | EP/N509486/1 | 30/09/2017 | 29/06/2021 | 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 |