Machine learning based nominal root stress calculation model for gears with a progressive curved path of contact

Urbas, Uroš (author), Zorko, Damijan (author), Vukašinović, Nikola (author)

The study aims to investigate the possibility of employing machine learning models in the design of non-involute gears. Such a model would be useful for design calculations of non-standard gears, where there are no available guidelines. The aim is to create a decision-support model accompanying the Finite Element Method (FEM) simulations, from which the data for training was collected. Multiple models for numerical prediction were tested, i.e. linear regression, Support Vector Machine, K-nearest neighbour, neural network, AdaBoost, and random forest. The models were firstly validated with N-fold cross-validation. Further validation was done with new FEM simulations. The results from the simulations and the models were in good agreement. The best-performing ones were random forest and AdaBoost. Based on the validation results, a machine learning constructed model for calculating nominal root stress in gears with a progressive curved path of contact is proposed. The model can be used as an alternative to FEM simulations for determining the nominal root stress in real-time, and is able to calculate the stress for gears with different number of teeth, widths, modules, paths of contact, materials, and loads. Therefore, many combinations of gear geometries can be analysed and the most suitable can be chosen.

• Language: English
• Keywords: machine learning, nominal root stress, gears, Finite Element Method, FEM, random forest, AdaBoost
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 14 str.
• Numbering: Vol. 165, art. 104430
• PID: 20.500.12556/RUL-138691
• UDC: 004.85:621.833:519.61
• ISSN on article: 0094-114X
• DOI: 10.1016/j.mechmachtheory.2021.104430
• COBISS.SI-ID: 69206531
• Publication date in RUL: 09.08.2022

URBAS, Uroš, ZORKO, Damijan and VUKAŠINOVIĆ, Nikola, 2021, Machine learning based nominal root stress calculation model for gears with a progressive curved path of contact. Mechanism and machine theory [online]. 2021. Vol. 165,  104430. [Accessed 31 March 2025]. DOI 10.1016/j.mechmachtheory.2021.104430. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=138691

Record is a part of a journal

• Title: Mechanism and machine theory
• Shortened title: Mech. mach. theory
• Publisher: Elsevier
• ISSN: 0094-114X
• COBISS.SI-ID: 5762311

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: strojno učenje, korenska napetost, zobniki, metoda končnih elementov