This paper uses rigid-body mechanism topologies to synthesize fully distributed compliant mechanisms that approximate a shape change defined by a set of morphing curves in different positions. For a shape-change problem, a rigid-body mechanism solution is generated first to provide the base topology. This base topology defines a preselected design space for the structural optimization in one of two ways so as to obtain a compliant mechanism solution that is typically superior to the local minimum solutions obtained from searching more expansive design spaces. In the first strategy, the dimensional synthesis directly determines the optimal size and shape of the distributed compliant mechanism having exactly the base topology. In the second strategy, an initial mesh network established from the base topology is used to generate different topologies (in addition to the base), and an improved design domain parameterization scheme ensures that only topologies with well-connected structures are evaluated. The deformation of each generated compliant mechanism is evaluated using geometrically nonlinear finite element analysis (FEA). A two-objective genetic algorithm (GA) is employed to find a group of viable designs that trade off minimizing shape matching error with minimizing maximum stress. The procedure's utility is demonstrated with three practical examples—the first two approximating open-curve profiles of an adaptive antenna and the third approximating closed-curve profiles of a morphing wing.
Skip Nav Destination
Article navigation
February 2016
Research-Article
Using Rigid-Body Mechanism Topologies to Design Shape-Changing Compliant Mechanisms
James P. Schmiedeler
James P. Schmiedeler
Fellow ASME
Department of Aerospace and
Mechanical Engineering,
University of Notre Dame,
Notre Dame, IN 46556
e-mail: schmiedeler.4@nd.edu
Department of Aerospace and
Mechanical Engineering,
University of Notre Dame,
Notre Dame, IN 46556
e-mail: schmiedeler.4@nd.edu
Search for other works by this author on:
Kai Zhao
James P. Schmiedeler
Fellow ASME
Department of Aerospace and
Mechanical Engineering,
University of Notre Dame,
Notre Dame, IN 46556
e-mail: schmiedeler.4@nd.edu
Department of Aerospace and
Mechanical Engineering,
University of Notre Dame,
Notre Dame, IN 46556
e-mail: schmiedeler.4@nd.edu
1Corresponding author.
Manuscript received January 28, 2015; final manuscript received April 27, 2015; published online August 18, 2015. Assoc. Editor: Pierre M. Larochelle.
J. Mechanisms Robotics. Feb 2016, 8(1): 011014 (9 pages)
Published Online: August 18, 2015
Article history
Received:
January 28, 2015
Revision Received:
April 27, 2015
Citation
Zhao, K., and Schmiedeler, J. P. (August 18, 2015). "Using Rigid-Body Mechanism Topologies to Design Shape-Changing Compliant Mechanisms." ASME. J. Mechanisms Robotics. February 2016; 8(1): 011014. https://doi.org/10.1115/1.4030585
Download citation file:
Get Email Alerts
Cited By
2024 Reviewers
J. Mechanisms Robotics
Exact Solutions of the Mixed Motion and Path Synthesis Problem for Four-Bar Linkages
J. Mechanisms Robotics (July 2025)
Related Articles
Using Rigid-Body Mechanism Topologies to Design Path Generating Compliant Mechanisms
J. Mechanisms Robotics (February,2016)
An Improved Material-Mask Overlay Strategy for Topology Optimization of Structures and Compliant Mechanisms
J. Mech. Des (June,2010)
Shape Optimization Framework for the Path of the Primary Compliance Vector in Compliant Mechanisms
J. Mechanisms Robotics (December,2020)
Design of a Parallel Gripper Based on Topology Synthesis and Evolutionary Optimization
J. Mechanisms Robotics (April,2022)
Related Proceedings Papers
Related Chapters
Design of Space Net Capture System and Simulation
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
The Combined Scheme of LDPC-STBC for Asynchronous Cooperative MIMO Systems with a Linear Dispersion Structure
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
Relationship between Information Fitness and Number of Copies on Complex Networks
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16