Optimum dynamic design of planar linkage using genetic algorithms

Citation
G. Guo et al., Optimum dynamic design of planar linkage using genetic algorithms, JSME C, 43(2), 2000, pp. 372-377
Citations number
8
Categorie Soggetti
Mechanical Engineering
Journal title
JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING
ISSN journal
13447653 → ACNP
Volume
43
Issue
2
Year of publication
2000
Pages
372 - 377
Database
ISI
SICI code
1344-7653(200006)43:2<372:ODDOPL>2.0.ZU;2-4
Abstract
The high operating speeds of a linkage result in the shaking force/moment a nd the driving torque to change significantly. The balancing effects by the mass redistribution method or the counterweight method are not satisfactor y sometimes. In this paper, we propose a new mixed mass redistribution meth od. The optimum dynamic design using the new method is investigated, based on genetic algorithms. The results of the counterweight method, the mass re distribution method and the new method are compared, and it is shown that t he new method can reduce the shaking force/moment and the driving torque mo re effectively than the methods used previously. Moreover, it is also demon strated that using genetic algorithms we can obtain optimum dynamic charact eristics more efficiently than by the traditional nonlinear optimization te chniques. The small element method is used to obtain the shape of links acc ording to optimized linkage design parameters.