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

被引:0
作者
Narasimha Boddeti
Yunlong Tang
Kurt Maute
David W. Rosen
Martin L. Dunn
机构
[1] Singapore University of Technology and Design,Digital Manufacturing and Design Centre
[2] Washington State University,School of Mechanical and Materials Engineering
[3] University of Colorado,Ann and H. J. Smead Aerospace Engineering
[4] Georgia Institute of Technology,George W. Woodruff School of Mechanical Engineering
[5] University of Colorado,College of Engineering, Design and Computing
来源
Scientific Reports | / 10卷
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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.
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