Multiobjective Design Optimization of Lightweight Gears
Lightweight gears have the potential to substantially contribute to the green economy demands. However, gear lightweighting is a challenging problem where various factors, such as the definition of the optimization problem and the parameterization of the design space, must be handled to achieve desi...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Machines |
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Online Access: | https://www.mdpi.com/2075-1702/10/9/779 |
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author | Francesco Cosco Rocco Adduci Leonardo Muzzi Ali Rezayat Domenico Mundo |
author_facet | Francesco Cosco Rocco Adduci Leonardo Muzzi Ali Rezayat Domenico Mundo |
author_sort | Francesco Cosco |
collection | DOAJ |
description | Lightweight gears have the potential to substantially contribute to the green economy demands. However, gear lightweighting is a challenging problem where various factors, such as the definition of the optimization problem and the parameterization of the design space, must be handled to achieve design targets and meet performance criteria. Recent advances in FE-based contact analysis have demonstrated that using hybrid FE–analytical gear contact models can offer a good compromise between computational costs and predictive accuracy. This paper exploits these enabling methodologies in a fully automated process, efficiently and reliably achieving an optimal lightweight gear design. The proposed methodology is demonstrated by prototyping a software architecture that combines commercial solutions and ad hoc procedures. The feasibility and validity of the proposed methodology are assessed, considering the multiobjective optimization of a transmission consisting of a pair of helical gears. |
first_indexed | 2024-03-09T23:21:42Z |
format | Article |
id | doaj.art-c48e76feb69742829baf4db0cc4b7ac7 |
institution | Directory Open Access Journal |
issn | 2075-1702 |
language | English |
last_indexed | 2024-03-09T23:21:42Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Machines |
spelling | doaj.art-c48e76feb69742829baf4db0cc4b7ac72023-11-23T17:26:44ZengMDPI AGMachines2075-17022022-09-0110977910.3390/machines10090779Multiobjective Design Optimization of Lightweight GearsFrancesco Cosco0Rocco Adduci1Leonardo Muzzi2Ali Rezayat3Domenico Mundo4Department of Mechanical, Energy and Management Engineering, University of Calabria, DIMEG, cubo 45C, 87036 Rende, ItalyDepartment of Mechanical, Energy and Management Engineering, University of Calabria, DIMEG, cubo 45C, 87036 Rende, ItalyDepartment of Mechanical, Energy and Management Engineering, University of Calabria, DIMEG, cubo 45C, 87036 Rende, ItalySiemens Industry Software NV, Interleuvenlaan 68, B-3001 Leuven, BelgiumDepartment of Mechanical, Energy and Management Engineering, University of Calabria, DIMEG, cubo 45C, 87036 Rende, ItalyLightweight gears have the potential to substantially contribute to the green economy demands. However, gear lightweighting is a challenging problem where various factors, such as the definition of the optimization problem and the parameterization of the design space, must be handled to achieve design targets and meet performance criteria. Recent advances in FE-based contact analysis have demonstrated that using hybrid FE–analytical gear contact models can offer a good compromise between computational costs and predictive accuracy. This paper exploits these enabling methodologies in a fully automated process, efficiently and reliably achieving an optimal lightweight gear design. The proposed methodology is demonstrated by prototyping a software architecture that combines commercial solutions and ad hoc procedures. The feasibility and validity of the proposed methodology are assessed, considering the multiobjective optimization of a transmission consisting of a pair of helical gears.https://www.mdpi.com/2075-1702/10/9/779lightweight gearsfinite-element analysismultibody simulationdesign space explorationtransmission error |
spellingShingle | Francesco Cosco Rocco Adduci Leonardo Muzzi Ali Rezayat Domenico Mundo Multiobjective Design Optimization of Lightweight Gears Machines lightweight gears finite-element analysis multibody simulation design space exploration transmission error |
title | Multiobjective Design Optimization of Lightweight Gears |
title_full | Multiobjective Design Optimization of Lightweight Gears |
title_fullStr | Multiobjective Design Optimization of Lightweight Gears |
title_full_unstemmed | Multiobjective Design Optimization of Lightweight Gears |
title_short | Multiobjective Design Optimization of Lightweight Gears |
title_sort | multiobjective design optimization of lightweight gears |
topic | lightweight gears finite-element analysis multibody simulation design space exploration transmission error |
url | https://www.mdpi.com/2075-1702/10/9/779 |
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