A multicriteria function for polymer gear design optimization
(2021) In Journal of Computational Design and Engineering p.1-19- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d88bc204-3c07-4f57-96f8-0d80b46fac4a
- author
- Tavcar, Joze LU ; Černe, Borut ; Duhovnik, Jože and Zorko, Damijan
- publishing date
- 2021-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- polymer gears, failure modes, multicriteria function, optimization, material characteristics
- in
- Journal of Computational Design and Engineering
- pages
- 19 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:85107142451
- ISSN
- 2288-5048
- DOI
- 10.1093/jcde/qwaa097
- language
- English
- LU publication?
- no
- additional info
- M1 - qwaa097
- id
- d88bc204-3c07-4f57-96f8-0d80b46fac4a
- date added to LUP
- 2021-01-19 19:33:58
- date last changed
- 2022-04-26 23:45:36
@article{d88bc204-3c07-4f57-96f8-0d80b46fac4a,
abstract = {{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.}},
author = {{Tavcar, Joze and Černe, Borut and Duhovnik, Jože and Zorko, Damijan}},
issn = {{2288-5048}},
keywords = {{polymer gears; failure modes; multicriteria function; optimization; material characteristics}},
language = {{eng}},
pages = {{1--19}},
publisher = {{Oxford University Press}},
series = {{Journal of Computational Design and Engineering}},
title = {{A multicriteria function for polymer gear design optimization}},
url = {{http://dx.doi.org/10.1093/jcde/qwaa097}},
doi = {{10.1093/jcde/qwaa097}},
year = {{2021}},
}