A Transitional Connection Method for the Design of Functionally Graded Cellular Materials
Source abstract
Abstract
In recent years, the functionally graded materials (FGM) with cellular structure have become a hot spot in the field of materials research. For the continuously varying cellular structure in the layer-wise FGM, the connection of gradient cellular structures has become the main problem. Unfortunately, the effect of gradient connection method on the overall structural performance lacks attention, and the boundary mismatch has enormous implications. Using the homogenization theory and the level set method, this article presents an efficient topology optimization method to solve the connection issue. Firstly, a simple but efficient hybrid level set scheme is developed to generate a new level set surface that has the partial features of two candidate level sets. Then, when the new level set surface is formed by considering the level set functions of two gradient base cells, a special transitional cell can be constructed by finding the zero level set of this generated level set surface. Since the transitional cell has the geometric features of two gradient base cells, the shape of the transitional cell fits perfectly with its connected gradient cells on both sides. Thus, the design of FGM can have a smooth connectivity with C1 continuity without any complex numerical treatments during the optimization. A number of examples on both 2D and 3D are provided to demonstrate the characteristics of the proposed method. Finite element simulation has also been employed to calculate the mechanical properties of the designs. The simulation results show that the FGM devised by the proposed method exhibits better mechanical performances than conventional FGM with only C0 continuity.
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Research context
OpenAlex topics: Topology Optimization in Engineering · Advanced Mathematical Modeling in Engineering · Composite Material Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
Funding
National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities
References (56)
Show source-provided references
1. Plant cell walls throughout evolution: Towards a molecular understanding of their design principles10.1093/jxb/erp245 ↗
2. Modeling bamboo as a functionally graded material: Lessons for the analysis of affordable materials10.1007/s10853-006-0232-3 ↗
3. Ultralight, ultrastiff mechanical metamaterials10.1126/science.1252291 ↗
4. Protocols for the Optimal Design of Multi-Functional Cellular Structures: From Hypersonics to Micro-Architected Materials10.1111/j.1551-2916.2011.04599.x ↗
5. Mechanics of cellular and other low-density materials10.1016/S0020-7683(99)00080-3 ↗
6. Strong, lightweight, and recoverable three-dimensional ceramic nanolattices10.1126/science.1255908 ↗
7. Cellular Ceramics in Metal Filtration10.1002/adem.200500021 ↗
8. Spatial-varying multi-phase infill design using density-based topology optimization10.1016/j.cma.2020.113354 ↗
9. Design of graded two-phase microstructures for tailored elasticity gradients10.1007/s10853-008-2722-y ↗
10. Topology optimization of functionally graded cellular materials10.1007/s10853-012-6905-1 ↗
11. On design of multi-functional microstructural materials10.1007/s10853-012-6643-4 ↗
12. Concurrent design with connectable graded microstructures10.1016/j.cma.2016.12.007 ↗
13. Bendsøe, M.P., and Sigmund, O. (2003). Topology Optimization: Theory, Methods and Applications, Springer.10.1007/978-3-662-05086-6 ↗
14. Generating optimal topologies in structural design using a homogenization method10.1016/0045-7825(88)90086-2 ↗
15. A 99 line topology optimization code written in Matlab10.1007/s001580050176 ↗
16. Material interpolation schemes in topology optimization10.1007/s004190050248 ↗
17. A simple evolutionary procedure for structural optimization10.1016/0045-7949(93)90035-C ↗
18. Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials10.1007/s00466-008-0312-0 ↗
19. Structural boundary design via level set and immersed interface methods10.1006/jcph.2000.6581 ↗
20. A level set method for structural topology optimization10.1016/S0045-7825(02)00559-5 ↗
21. Structural optimization using sensitivity analysis and a level-set method10.1016/j.jcp.2003.09.032 ↗
22. Level-set methods for structural topology optimization: A review10.1007/s00158-013-0912-y ↗
23. A 2D topology optimisation algorithm in NURBS framework with geometric constraints10.1007/s10999-017-9396-z ↗
24. Costa, G., Montemurro, M., and Pailhès, J. (2019). NURBS hyper-surfaces for 3D topology optimization problems. Mech. Adv. Mater. Struct., 1–20.10.1080/15376494.2019.1582826 ↗
25. Minimum length scale control in a NURBS-based SIMP method10.1016/j.cma.2019.05.026 ↗
26. How to determine composite material properties using numerical homogenization10.1016/j.commatsci.2013.09.006 ↗
27. A new class of extremal composites10.1016/S0022-5096(99)00034-4 ↗
28. Topological shape optimization of microstructural metamaterials using a level set method10.1016/j.commatsci.2014.02.006 ↗
29. A design framework for gradually stiffer mechanical metamaterial induced by negative Poisson’s ratio property10.1016/j.matdes.2020.108751 ↗
30. Topology optimization for concurrent design of layer-wise graded lattice materials and structures10.1016/j.ijengsci.2019.01.006 ↗
31. Robust topology optimization of thermoelastic metamaterials considering hybrid uncertainties of material property10.1016/j.compstruct.2020.112477 ↗
32. Materials with prescribed constitutive parameters: An inverse homogenization problem10.1016/0020-7683(94)90154-6 ↗
33. Topological optimization for the design of microstructures of isotropic cellular materials10.1080/0305215X.2012.737781 ↗
34. Design of functionally graded piezocomposites using topology optimization and homogenization—Toward effective energy harvesting materials10.1016/j.cma.2013.07.003 ↗
35. FGM activities in Japan10.1016/S1359-8368(96)00016-9 ↗
36. Sigmund, O., and Torquato, S. (1998). Design of Materials with Extreme Elastic or Thermoelastic Properties Using Topology Optimization. IUTAM Symposium on Transformation Problems in Composite and Active Materials. Solid Mechanics and its Applications, Springer.
37. A topology optimization method for design of negative permeability metamaterials10.1007/s00158-009-0416-y ↗
38. Topology Optimization of Micro-Structured Materials Featured with the Specific Mechanical Properties10.1142/S021987621850144X ↗
39. An optimised family of anisotropic microstructures with application to functionally graded materials10.1016/j.ijsolstr.2019.05.009 ↗
40. Compatibility in microstructural optimization for additive manufacturing
41. Strategies for functionally graded lattice structures derived using topology optimisation for Additive Manufacturing
42. VCUT level set method for topology optimization of functionally graded cellular structures10.1016/j.cma.2019.05.029 ↗
43. M-VCUT level set method for optimizing cellular structures10.1016/j.cma.2020.113154 ↗
44. Effective design and simulation of surface-based lattice structures featuring volume fraction and cell type grading10.1016/j.matdes.2018.05.058 ↗
45. An 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions10.1007/s00158-018-1904-8 ↗
46. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations10.1016/0021-9991(88)90002-2 ↗
47. The COC algorithm, Part II: Topological, geometrical and generalized shape optimization10.1016/0045-7825(91)90046-9 ↗
48. Rozvany, G.I.N. (1993). The Method of Moving Asymptotes (MMA) with Some Extensions. Optimization of Large Structural Systems, Springer.10.1007/978-94-010-9577-8 ↗
49. Topology optimization with implicit functions and regularization10.1002/nme.824 ↗
50. A level set method for topological shape optimization of 3D structures with extrusion constraints10.1016/j.cma.2014.10.006 ↗
51. A level set-based parameterization method for structural shape and topology optimization10.1002/nme.2092 ↗
52. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree10.1007/BF02123482 ↗
53. Sethian, J.A. (1999). Level Set Methods and Fast Marching Methods—Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science, Cambridge University Press. [2nd ed.].
54. Level Set Methods: An Overview and Some Recent Results10.1006/jcph.2000.6636 ↗
55. On the correlation between stiffness and strength properties of anisotropic laminates10.1080/15376494.2017.1410906 ↗
56. Plane anisotropic rari-constant materials10.1002/mma.3770 ↗