Abstract
In this paper a method is described for determining the design unbalance of crankshafts and also the recommended procedure for a balanced design strategy. The use of a search tool for solutions is suggested based on Genetic Algorithms (GA). GAs have been used in different applications, one of them is the optimization of geometric shapes, a relatively recent area with high research potential. The interest towards this field is growing, and it is anticipated that in the future mechanical engineering will be an area where many applications of shape optimization will be widely applied.
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Rao. Mechanical Vibrations. Wesley
Goldberg DE. Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley; 1989. ISBN 0-201-15767-5.
J. Lampinen. Cam shape optimization by genetic algorithm. Computer Aided Design 35 (2003) 727–737.
Noel Leon, José María Cueva, Jorge Gutiérrez, David Silva. Automatic Shape Variations in 3D CAD Environments. 1ST IFIP-TC5 Working Conference on Computer Aided Innovation. November 14–15 2005, Ulm, Germany
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© 2006 International Federation for Information Processing
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Téllez, H.A., Rovira, N.L. (2006). Computer Aided Innovaton of Crankshafts Using Genetic Algorithms. In: Wang, K., Kovacs, G.L., Wozny, M., Fang, M. (eds) Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management. PROLAMAT 2006. IFIP International Federation for Information Processing, vol 207. Springer, Boston, MA . https://doi.org/10.1007/0-387-34403-9_64
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DOI: https://doi.org/10.1007/0-387-34403-9_64
Publisher Name: Springer, Boston, MA
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