Optimal design and manufacture of variable stiffness laminated continuous fiber reinforced composites

被引:61
作者
Boddeti, Narasimha [1 ,2 ]
Tang, Yunlong [1 ]
Maute, Kurt [3 ]
Rosen, David W. [1 ,4 ]
Dunn, Martin L. [5 ]
机构
[1] Singapore Univ Technol & Design, Digital Mfg & Design Ctr, Singapore, Singapore
[2] Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USA
[3] Univ Colorado, Ann & HJ Smead Aerosp Engn, Boulder, CO 80309 USA
[4] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
[5] Univ Colorado, Coll Engn Design & Comp, Denver, CO 80202 USA
基金
新加坡国家研究基金会;
关键词
TOPOLOGY OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; STRUCTURAL OPTIMIZATION; PLATES;
D O I
10.1038/s41598-020-73333-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Advanced manufacturing methods like multi-material additive manufacturing are enabling realization of multiscale materials with intricate spatially varying microstructures and thus, material properties. This blurs the boundary between material and structure, paving the way to lighter, stiffer, and stronger structures. Taking advantage of these tunable multiscale materials warrants development of novel design methods that effectively marry the concepts of material and structure. We propose such a design to manufacture workflow and demonstrate it with laminated continuous fiber-reinforced composites that possess variable stiffness enabled by spatially varying microstructure. This contrasts with traditional fiber-reinforced composites which typically have a fixed, homogenous microstructure and thus constant stiffness. The proposed workflow includes three steps: (1) Design automation-efficient synthesis of an optimized multiscale design with microstructure homogenization enabling efficiency, (2) Material compilation-interpretation of the homogenized design lacking specificity in microstructural detail to a manufacturable structure, and (3) Digital manufacturing- automated manufacture of the compiled structure. We adapted multiscale topology optimization, a mesh parametrization-based algorithm and voxel-based multimaterial jetting for these three steps, respectively. We demonstrated that our workflow can be applied to arbitrary 2D or 3D surfaces. We validated the complete workflow with experiments on two simple planar structures; the results agree reasonably well with simulations.
引用
收藏
页数:15
相关论文
共 96 条