Optimal design of multi-body mechanisms using layered connectivity parameterization (LCP)

Kenneth E. Swartz, Daniel A Tortorelli, Kai James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2018 Multidisciplinary Analysis and Optimization Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105500
DOIs
StatePublished - Jan 1 2018
Event19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018 - Atlanta, United States
Duration: Jun 25 2018Jun 29 2018

Publication series

Name2018 Multidisciplinary Analysis and Optimization Conference

Other

Other19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018
CountryUnited States
CityAtlanta
Period6/25/186/29/18

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Swartz, K. E., Tortorelli, D. A., & James, K. (2018). Optimal design of multi-body mechanisms using layered connectivity parameterization (LCP). In 2018 Multidisciplinary Analysis and Optimization Conference [AIAA 2018-4057] (2018 Multidisciplinary Analysis and Optimization Conference). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-4057