Optimization of a Recurve Bow Riser Using Evolutionary Computing

Autor: Juergen Edelmann-Nusser, Sándor Vajna, André Jordan, Mario Heller, Steffen Clement
Rok vydání: 2006
Předmět:
Zdroj: The Engineering of Sport 6 ISBN: 9780387346786
Popis: 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.
Databáze: OpenAIRE