Swarm intelligence optimization techniques are widely used in topology optimization of compliant mechanisms. The Ant Colony Optimization has been implemented in various forms to account for material density distribution inside a design domain. In this paper, the Ant Colony Optimization technique is applied in a unique manner to make it feasible to optimize for the beam elements’ cross-section and material density simultaneously. The optimum material distribution algorithm is governed by two various techniques. The first technique treats the material density as an independent design variable while the second technique correlates the material density with the pheromone intensity level. Both algorithms are tested for a micro displacement amplifier and the resulting optimized topologies are benchmarked against reported literature. The proposed techniques culminated in high performance and effective designs that surpass those presented in previous work.
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ASME 2017 International Mechanical Engineering Congress and Exposition
November 3–9, 2017
Tampa, Florida, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5846-2
PROCEEDINGS PAPER
Adapting Ant Colony for Topology Optimization of Compliant Mechanisms With Variable Material Density
Nadim Diab
Nadim Diab
Rafik Hariri University, Meshref, Lebanon
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Nadim Diab
Rafik Hariri University, Meshref, Lebanon
Paper No:
IMECE2017-70116, V011T15A007; 11 pages
Published Online:
January 10, 2018
Citation
Diab, N. "Adapting Ant Colony for Topology Optimization of Compliant Mechanisms With Variable Material Density." Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition. Volume 11: Systems, Design, and Complexity. Tampa, Florida, USA. November 3–9, 2017. V011T15A007. ASME. https://doi.org/10.1115/IMECE2017-70116
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