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Optimization of a Recurve Bow Riser Using Evolutionary Computing

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The Engineering of Sport 6

Abstract

In the Olympic competitions the so-called recurve bows are used in archery. Typical characteristics of a good bow riser are little weight and high stiffness. Hence a trend in the design of risers is to reduce weight without loosing other properties. The aim of this study was to design a riser with a considerably reduced weight at a quite similar stiffness compared to the lightest riser (1114g) that is used by archers of the German National Archery Team. A parametric CAD model of the riser was designed and optimized using evolutionary computing. Best model was selected out of 1650, and a riser was manufactured with a forged aluminum alloy (AS 28) using a CNC milling machine. A test of the riser in practice by archers of the German National Archery Team succeeded: the riser is not only very stiff and light (871g) but also damps the vibrations after the shot very well.

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References

  • Haidn, O. and Weineck, J. (2001). Archery: Basics in Training Science. Spitta, Balingen. (In German: Bogenschießen: trainingswissenschaftliche Grundlagen).

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  • Nilsson, N.J. 1998. Artificial Intelligence — A New Synthesis. Kaufmann, San Francisco

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  • Vajna, S., Clement S., and Jordan, A. (2002) Autogenetic Design Theory: an Approach to Optimize both the Design Process and the Product. In: Proceedings of the 2002 ASME Design Engineering Technical Conferences, Montreal, Canada, p. 111.

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© 2006 Springer Science+Business Media, LLC

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Heller, M., Edelmann-Nusser, J., Clement, S., Vajna, S., Jordan, A. (2006). Optimization of a Recurve Bow Riser Using Evolutionary Computing. In: The Engineering of Sport 6. Springer, New York, NY. https://doi.org/10.1007/978-0-387-46051-2_24

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  • DOI: https://doi.org/10.1007/978-0-387-46051-2_24

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-34678-6

  • Online ISBN: 978-0-387-46051-2

  • eBook Packages: EngineeringEngineering (R0)

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