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| Topology optimization of self-supporting structure for additive manufacturing by gradual evolution strategy |
| Received:September 18, 2020 Revised:December 03, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20200918001 |
| KeyWord:topology optimization additive manufacturing self-supporting constraint sensitivity analysis gradual evolution |
| Author | Institution |
| 邹君 |
中国民航大学 适航学院, 天津 |
| 姚卫星 |
南京航空航天大学 航空学院, 南京 |
| 张悦超 |
中国民航大学 适航学院, 天津 |
| 冯振宇 |
中国民航大学 适航学院, 天津 |
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| Abstract: |
| Topology optimization and additive manufacturing are respectively the advanced structural design and manufacturing technologies.The combination of topology optimization and additive manufacturing can bring significant synergetic benefits.The additive manufacturing processes have certain manufacturing constraints,and this paper focuses on the topology optimization algorithm considering the self-supporting constraint,which can reduce the material and time costs.Based on the SIMP framework,an explicit constraint function is devised to quantify the self-supporting characteristic.The optimization process considering the self-supporting constraint is then developed,in which the optimization realizes self-support through gradual structural evolution.A corresponding sensitivity analysis method is proposed,which can be used in parallel computation.A directional sensitivity filter is proposed to promote the evolution of supporting structures.Three numerical examples are adopted to verify the proposed method, and the results show that the proposed directional sensitivity filter is effective,and all results realize self-support.Besides,the results indicate better manufacturability compared with the typical methods considering self-supporting constraint. |
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