Generative design for additive manufacturing of polymeric auxetic materials produced by fused filament fabrication

被引:0
作者
Theo Gromat
Julien Gardan
Omar Saifouni
Ali Makke
Naman Recho
机构
[1] Université de Technologie de Troyes,UR
[2] EPF,LASMIS
[3] School of Engineering,undefined
来源
International Journal on Interactive Design and Manufacturing (IJIDeM) | 2023年 / 17卷
关键词
Additive manufacturing; Generative design; Architectured materials; Metamaterials; Auxetic material; Fused filament fabrication;
D O I
暂无
中图分类号
学科分类号
摘要
The durability improvement of mechanical systems produced by Additive Manufacturing has become a key challenge in the industry, especially with architectured materials which present enhanced physical properties. Additive Manufacturing has also made it possible to develop architectured materials which are cellular or distributed materials in which the topological allocation is controlled and optimized for specific functions or properties, such as auxetic materials. Auxetics are structures that have a negative Poisson’s ratio which becomes thicker perpendicular to the applied tensile force. Moreover, Generative Design is a design exploration process to create highly optimized design making additive technology one of the best ways to access some new design space. This work aims to combine Generative Design and Integrated Design as part of a simultaneous approach to evaluate the capabilities of auxetic materials made by Fused Filament Fabrication in 3D printing. Three main aspects are considered in this approach: the parametric design of a pattern geometry to generate a structured part considering fabrication constraints through design guidelines, the additive manufacturing of the generated part and the evaluation of the structured material’s mechanical behavior. Three-point bending tests are also carried out to validate the analytical approach as well as to study auxetic structures properties. This parametric design methodology allowed for the fabrication of auxetic bending specimens. Outcomes from mechanical tests were used to elaborate an equivalent simplified beam model to predict the elastic behavior of auxetic materials before manufacturing. Then, the mechanical tests have shown also that the pattern’s compression around stress application aims to reinforce the structure. The results show the potential of the implemented global and simultaneous approach to develop auxetic materials through a Generative Design for Additive Manufacturing methodology. Hence, this research work provides a basis for further work to improve the numerical analysis aspect and extend the approach to develop architectured and functionalized materials. The results show multiple auxetic design iterations of bending specimens based on geometric, material, and additive technology parameters in order to verify their mechanical behaviors.
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页码:2943 / 2955
页数:12
相关论文
共 24 条
[1]  
Barbieri L(2022)Performance-Driven Engineering Design Approaches Based on Generative Design and Topology Optimization Tools: A Comparative Study Appl. Sci. 12 2106-886
[2]  
Muzzupappa M(2020)G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry Int. J. Interact. Des. Manuf. 14 875-1477
[3]  
Briard T(2022)Generative design of conformal cubic periodic cellular structures using a surrogate model-based optimisation scheme Int. J. Prod. Res. 60 1458-124
[4]  
Segonds F(2022)Lightweight design of automotive components using generative design with fiber-reinforced additive manufacturing Procedia CIRP 109 119-261
[5]  
Zamariola N(2022)Generative design of 3D printed hands-free door handles for reduction of contagion risk in public buildings Int. J. Interact. Des. Manuf. 16 253-100
[6]  
Wang J(2010)A practical generative design method Comput. Aided Des. 43 88-151
[7]  
Rai R(2016)A method to improve the fracture toughness using 3D printing by extrusion deposition Procedia Struct. Integr. 2 144-44
[8]  
Junk S(2019)Numerical prediction of 3D printed specimens based on a strengthening method of fracture toughness Procedia CIRP 81 40-5129
[9]  
Rothe N(2017)Auxetic mechanical metamaterials RSC Adv. 7 5111-undefined
[10]  
De Crescenzio F(2022)Generative design and integrated 3D printing manufacture of cross joints Materials 15 4753-undefined