4.7 Article

Design and Computational Optimization of a Decoupled 2-DOF Monolithic Mechanism

Journal

IEEE-ASME TRANSACTIONS ON MECHATRONICS
Volume 19, Issue 3, Pages 872-881

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMECH.2013.2262801

Keywords

Flexure-based mechanism; flexure hinge; micro/nanomanipulation; optimization; piezoelectric actuator (PEA)

Funding

  1. ARC LIEF [LE0347024, LE0775692]
  2. ARC [DP0986814, DP110104970]
  3. National Natural Science Foundation of China [51175372]
  4. New Century Excellent Talents in University [NCET-11-0374]
  5. National Key Special Project of Science and Technology of China [2011ZX04016-011]

Ask authors/readers for more resources

This paper presents the mechanical design, computational optimization, and experimentation of a decoupled 2-DOF monolithic mechanism. In the mechanical design, statically indeterminate leaf parallelograms provide the decoupling effect, and the displacement of the piezoelectric actuator (PEA) is amplified with a statically indeterminate lever mechanism. In a piezo-driven mechanism, the contact interface between the PEA and the mechanism is a major cause of the discrepancies between the estimated and measured characteristics. However, no explicit and reliable model is available to estimate the contact stiffness. In this paper, a computational optimization based on the response surface methodology is performed and the influence of the contact interface is taken into consideration by adding adequate safety margin to the design objectives. Ultimately, a prototype is manufactured and experimentally investigated for its characteristics and performances. Experimental results show that the developed mechanism has a workspace range in excess of 82 mu m x 82 mu m with a first natural frequency of 423 Hz (with a 53.4-g load mass). The cross-axis coupling ratio is experimentally measured to be below 1%, indicating excellent decoupling performances.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available