A multicriteria function for polymer gear design optimization

A reliable method of optimization of polymer gears remains, to date, an open challenge, due to the lack of specific material characterization of polymers and to the complex nonlinear relations between different geometric and operating parameters. For spur and helical gears, the authors herein have d...

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Bibliographic Details
Published in:Journal of computational design and engineering 2021, 8(2), , pp.581-599
Main Authors: Tavčar, Jože, Černe, Borut, Duhovnik, Jože, Zorko, Damijan
Format: Article
Language:English
Subjects:
기계공학
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Summary:A reliable method of optimization of polymer gears remains, to date, an open challenge, due to the lack of specific material characterization of polymers and to the complex nonlinear relations between different geometric and operating parameters. For spur and helical gears, the authors herein have developed the optimization algorithm, which primarily enables variation of geometry according to various criteria: the number of teeth (z1, z2), face width (b), helix angle (β), and normal module (mn). The method enables a better insight into how design parameters influence the target criteria. The main paper contribution is a newly developed multicriteria function that enables a simultaneous consideration of different criteria such as root/flank stress, gear bulk/flank temperature, wear, deformation, quality, cost, and volume.
ISSN:2288-5048
2288-4300
2288-5048
DOI:10.1093/jcde/qwaa097