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Journal article
Topology optimization of microvascular composites for active-cooling applications using a geometrical reduced-order model
Structural and multidisciplinary optimization, v 64(2), pp 563-583
01 Aug 2021
Abstract
In this study, we develop a design methodology with a basis in gradient-based topology optimization and a geometrical reduced-order thermal/hydraulic model for actively cooled microvascular composite panels. The proposed method is computationally very efficient owing to the suggested simplifications while preserving the required accuracy. The analytical sensitivity for the topology optimization scheme is derived. Several numerical examples are solved to demonstrate the applicability of the proposed method for active-cooling applications. Using topology optimization, the maximum temperature of the composite panel is reduced by up to 59% compared to a benchmark design. The optimization framework is compared to hybrid topology/shape (HyTopS) and shape optimization (SO) methods based on several measures such as maximum and average temperatures, temperature uniformity, network redundancy, and manufacturability. The solution obtained from the proposed TO scheme outperforms the other approaches in terms of the aforementioned measures.
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Details
- Title
- Topology optimization of microvascular composites for active-cooling applications using a geometrical reduced-order model
- Creators
- Reza Pejman - Drexel UniversityOle Sigmund - Technical University of DenmarkAhmad Raeisi Najafi - Drexel University
- Publication Details
- Structural and multidisciplinary optimization, v 64(2), pp 563-583
- Publisher
- Springer Nature
- Number of pages
- 21
- Grant note
- Villum Foundation through the VILLUM Investigator Project InnoTop Drexel University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000659419300001
- Scopus ID
- 2-s2.0-85107494571
- Other Identifier
- 991019168803804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Multidisciplinary
- Mechanics