Data-Driven Additive Manufacturing Constraints for Topology Optimization
Author:
Affiliation:
1. Autodesk, Inc., Lake Oswego, OR
2. Seattle University, Seattle, WA
3. University of Washington, Seattle, WA
Abstract
Publisher
American Society of Mechanical Engineers
Link
http://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-pdf/doi/10.1115/DETC2018-85391/2475627/v02at03a031-detc2018-85391.pdf
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1. A Comprehensive Review of Explicit Topology Optimization Based on Moving Morphable Components (MMC) Method;Archives of Computational Methods in Engineering;2024-01-29
2. Topology Optimisation in Structural Steel Design for Additive Manufacturing;Applied Sciences;2021-02-27
3. Topology Optimization of Fail-Safe Structures via Geometry Projection;AIAA Scitech 2021 Forum;2021-01-04
4. Data-Driven Additive Manufacturing Constraints for Topology Optimization;Journal of Manufacturing Science and Engineering;2020-10-05
5. A review on feature-mapping methods for structural optimization;Structural and Multidisciplinary Optimization;2020-08-03
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