What are the last advances about generative design for additive manufacturing?
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The latest advances in generative design for additive manufacturing (AM) involve overcoming challenges such as integrating AM constraints, handling multiple conflicting design objectives efficiently, and reducing computation costs. Novel approaches include utilizing CSG-based techniques for generating smooth topology geometries with parametric control , employing artificial intelligence algorithms to develop collaborative tools and algorithms for complex structures , and implementing spatially varying material properties for tailored structural responses beyond fundamental frequencies . Additionally, advancements include solving for minimum volume and compliance space-frame systems with stress and buckling constraints using formal topology optimization routines , and optimizing advanced aerial drone structures through generative design for optimized load distribution and efficient topology optimization . These developments showcase the potential of generative design in revolutionizing lightweight structure design and enhancing manufacturing processes in AM.
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| Papers (5) | Insight |
|---|---|
01 Jan 2020 5 Citations | Recent advances in generative design for additive manufacturing include utilizing AI technology, topology optimization, and collaborative tools to generate complex structures efficiently, as discussed in the paper. |
15 Citations | A new generative design method using CSG and genetic algorithms efficiently generates optimal solutions for additive manufacturing, addressing complex geometries and multiple objectives with reduced computation costs. |
07 Jun 2023 | Generative design for 3D printing of advanced aerial drones optimizes load distribution, utilizing AI algorithms to create efficient topology optimized structures, enhancing manufacturing and material selection processes. |
2 Citations | The paper introduces a structured material approach for generative design, utilizing single-material solutions for additive manufacturing, showing comparable or superior results to multi-material approaches, enhancing fabrication possibilities. |
| The paper presents a generative design methodology for space frames in additive manufacturing, offering fast and automatic high-performing solutions with traditional engineering cross-sections for improved certification processes. |
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