@Article{2018.100000039,
AUTHOR = {Laith Sawaqed, Khaled S. Hatamleh, Mohammad A. Jaradat, Qais Khasawneh},
TITLE = {Synthesis Optimization of Piezo Driven Four Bar Mechanism Using Genetic  Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {507--515},
URL = {http://www.techscience.com/iasc/v24n3/39792},
ISSN = {2326-005X},
ABSTRACT = {Over the past few years, there has been a growing demand to develop efficient 
precision mechanisms for fine moving applications. Therefore, several 
piezoelectric driven mechanisms have been proposed for such applications. In 
this work an optimal synthesis of a four-bar mechanism with three PEAs is 
proposed. Two evolutionary multi-objective Genetic Algorithms (GAs) are 
formulated and applied; A Genetic Algorithm Synthesis method (GAS) is first 
used to obtain a synthesis solution for the mechanism regardless of power 
consumption. Then another Genetic Algorithm Minimum Power Synthesis 
method (GAMPS) is used to obtain the synthesis solution of minimum power 
consumption. For that purpose, the study performs simulation investigation of 
the aforementioned algorithms for each point along sinusoidal and kidney 
shaped paths of motion. Results show capability of both methods in obtaining a 
synthesis solution. However, GAMPS outperformed GAS in terms of driving 
power consumption as it is minimized by 99% ratio.},
DOI = {10.31209/2018.100000039}
}