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A harmonic balance approach for designing compliant mechanical systems with nonlinear periodic motions

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TLDR
The technical core of the approach is an optimization-driven design tool that combines sensitivity analysis for optimization with the Harmonic Balance Method for simulation that establishes dynamic force equilibrium in the frequency domain.
Abstract
We present a computational method for designing compliant mechanical systems that exhibit large-amplitude oscillations. The technical core of our approach is an optimization-driven design tool that combines sensitivity analysis for optimization with the Harmonic Balance Method for simulation. By establishing dynamic force equilibrium in the frequency domain, our formulation avoids the major limitations of existing alternatives: it handles nonlinear forces, side-steps any transient process, and automatically produces periodic solutions. We introduce design objectives for amplitude optimization and trajectory matching that enable intuitive high-level authoring of large-amplitude motions. Our method can be applied to many types of mechanical systems, which we demonstrate through a set of examples involving compliant mechanisms, flexible rod networks, elastic thin shell models, and multi-material solids. We further validate our approach by manufacturing and evaluating several physical prototypes.

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Citations
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Journal ArticleDOI

Theoretical and experimental investigations on steady-state responses of rotor-blade systems with varying rotating speeds based on a new nonlinear dynamic model

TL;DR: In this paper , a modified harmonic balance method is proposed to obtain dynamic responses of rotor-blade systems with a comprehensive model in incremental form, which considers geometric nonlinearity, centrifugal and gyroscopic effects of flexible blades and nonlinear constraints between rotor and multiple blades.
Journal ArticleDOI

Nonlinear Compliant Modes for Large-deformation Analysis of Flexible Structures

TL;DR: In this paper , a physically principled extension of linear eigenmodes for large-deformation analysis is proposed, i.e., instead of constraining the entire structure to deform along a given eigenmode, the projection of the system's state onto the linear mode while all other degrees of freedom follow through energy minimization.
Proceedings ArticleDOI

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Designing actuation systems for animatronic figures via globally optimal discrete search

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Co-Optimization of Design and Fabrication Plans for Carpentry

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References
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A limited memory algorithm for bound constrained optimization

TL;DR: An algorithm for solving large nonlinear optimization problems with simple bounds is described, based on the gradient projection method and uses a limited memory BFGS matrix to approximate the Hessian of the objective function.
Book

Practical Bifurcation and Stability Analysis

TL;DR: In this article, the Branching Behavior of Nonlinear Equations and Boundary-Value Problems are discussed. But they do not specify the branching behavior of nonlinear equations.
Journal ArticleDOI

Nonlinear normal modes, Part I: A useful framework for the structural dynamicist

TL;DR: The concept of nonlinear normal modes (NNMs) is discussed in the present paper and its companion, Part II as mentioned in this paper, and numerical methods for the continuation of periodic solutions pave the way for an effective and practical computation of NNMs, and timefrequency analysis is particularly suitable for the analysis of the resulting dynamics.
Journal ArticleDOI

Nonlinear normal modes, Part II: Toward a practical computation using numerical continuation techniques

TL;DR: In this paper, a nonlinear normal mode (NNM) computation is shown to be possible with limited implementation effort, which paves the way to a practical method for determining the NNMs of nonlinear mechanical systems.
Journal ArticleDOI

An Alternating Frequency/Time Domain Method for Calculating the Steady-State Response of Nonlinear Dynamic Systems

TL;DR: In this article, a method for analyzing the steady-state response of nonlinear dynamic systems is proposed to obtain the discrete Fourier transform of the system response, returning to the time domain at each iteration to take advantage of the ease in evaluating nonlinearities there.
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