Automated synthesis of mechanical vibration absorbers using genetic programming

Authors:
Jianjun Hu;Erik d. Goodman;Shaobo Li;Ronald Rosenberg
Affiliations:
Department of computer science and engineering, university of south carolina, columbia, south carolina, usa;Department of electrical and computer engineering, michigan state university, east lansing, michigan, usa;Key laboratory of advanced manufacturing technology, ministry of education, guizhou university, caijiaguan, guiyang, people's republic of china;Department of mechanical engineering, michigan state university, east lansing, michigan, usa
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
2008

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Abstract

Conceptual innovation in mechanical engineering design has been extremely challenging compared to the wide applications of automated design systems in digital circuits. This paper presents an automated methodology for open-ended synthesis of mechanical vibration absorbers based on genetic programming and bond graphs. It is shown that our automated design system can automatically evolve passive vibration absorbers that have performance equal to or better than the standard passive vibration absorbers invented in 1911. A variety of other vibration absorbers with competitive performance are also evolved automatically using a desktop PC in less than 10 h.