TY - GEN
T1 - Optimal design of multi-body mechanisms using layered connectivity parameterization (LCP)
AU - Swartz, Kenneth E.
AU - Tortorelli, Daniel A.
AU - James, Kai A.
N1 - Funding Information:
The funding for this project came from the Lawrence Livermore National Lab Center of Design Optimization. We would like to thank Krister Svanberg for providing a Matlab implementation of his MMA algorithm.
Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2018
Y1 - 2018
N2 - A technique is presented to synthesize multi-body mechanisms using topology optimization. The topology of each body as well as the inter-body connections are parameterized and optimized simultaneously. A geometrically nonlinear finite element analysis is performed with a Newton-Raphson implementation to calculate the motion of the multi-body mechanisms. Density filtering allows for local feature size control, and a penalizing material interpolation scheme leads to converged solid/void solutions. The adjoint method is employed to efficiently calculate response function sensitivities, which are used in the method of moving asymptotes (MMA) to determine optimal multi-body structures. The technique is demonstrated on the design of two-body grippers and multi-body force inverters.
AB - A technique is presented to synthesize multi-body mechanisms using topology optimization. The topology of each body as well as the inter-body connections are parameterized and optimized simultaneously. A geometrically nonlinear finite element analysis is performed with a Newton-Raphson implementation to calculate the motion of the multi-body mechanisms. Density filtering allows for local feature size control, and a penalizing material interpolation scheme leads to converged solid/void solutions. The adjoint method is employed to efficiently calculate response function sensitivities, which are used in the method of moving asymptotes (MMA) to determine optimal multi-body structures. The technique is demonstrated on the design of two-body grippers and multi-body force inverters.
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U2 - 10.2514/6.2018-4057
DO - 10.2514/6.2018-4057
M3 - Conference contribution
AN - SCOPUS:85051683219
SN - 9781624105500
T3 - 2018 Multidisciplinary Analysis and Optimization Conference
BT - 2018 Multidisciplinary Analysis and Optimization Conference
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018
Y2 - 25 June 2018 through 29 June 2018
ER -