Method for optimising the mass of plastic gearbox components in 3D printing using a genetic algorithm

Authors

  • Tatyana Yu. Kim United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus; Urgench branch of the Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, 110 Al-Khwarizmi Street, Urgench 220100, Uzbekistan
  • Anastasiya V. Pechkouskaya United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus
  • Yauheni I. Pechkouski United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus

Keywords:

genetic algorithms, Matlab, gearbox, gear, optimisation, mass, evolutionary algorithms, 3D printing, FDM printing
Supporting Agencies
This work was supported by the State Committee on Science and Technology of the Republic of Belarus and Ministry of Science and Technology of the Pheople’s Republic of China (grant No. F22KITG-002 «Medical robots based on human – machine interaction»). The authors express their deep gratitude to doctor Fu Minglei, professor at the Zhejiang University of Technology, for his kind advices and valuable.

Abstract

This paper proposes the development of a fitness function for a genetic algorithm aimed at minimising the mass of gearbox components manufactured from polylactide using the FDM printing method. For gears optimised using genetic algorithms, the best results can be obtained in a solution space defined by constraints on contact strength, bending endurance, static shaft strength and fatigue strength. It is shown that evolutionary optimisation of the design of plastic parts manufactured using the FDM printing method makes it possible to reduce their mass without compromising strength and functionality. To improve the quality of optimisation, a technique for calculating the mass of gears is developed that surpasses the existing techniques in the accuracy of the results. It is expected that the obtained results will be used in the design and prototyping of robotic units that are demanding on the mass of parts. Computer modelling is herein performed in the Matlab environment.

Author Biographies

  • Tatyana Yu. Kim, United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus; Urgench branch of the Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, 110 Al-Khwarizmi Street, Urgench 220100, Uzbekistan

    junior researcher at the laboratory of robotic systems, United Institute of Informatics Problems, National Academy of Sciences of Belarus, and assistant at the department of information technologies, Urgench branch of the Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi

  • Anastasiya V. Pechkouskaya, United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus

    probationer of junior researcher at the laboratory of robotic systems

  • Yauheni I. Pechkouski, United Institute of Informatics Problems, National Academy of Sciences of Belarus, 6 Surganava Street, Minsk 220012, Belarus

    leading design engineer at the laboratory of robotic systems

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Published

2024-12-04

Issue

No. 3 (2024): Journal of the Belarusian State University. Mathematics and Informatics

Section

Theoretical Foundations of Computer Science

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How to Cite

[1]
Kim, T.Y. et al. 2024. Method for optimising the mass of plastic gearbox components in 3D printing using a genetic algorithm. Journal of the Belarusian State University. Mathematics and Informatics. 3 (Dec. 2024), 103–111.