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Methodology for Effective Design of Motorcycle Structures

Olga O. Baryshnikova and Dmitry V. Strugovshchiko
Bauman Moscow State Technical University, 2-nd Baumanskaya 5, Moscow, Russia

Abstract—One of the important tasks that goes before the main stage of motorcycle design is the choice of the motorcycle type. This paper discusses the main types of motorcycles, their characteristics, design features, and geometric parameters that need to be taken into account at the very first stage of product development – the technical proposal. This paper also discusses the forces acting on various parts and components of the motorcycle, and various load cases (when braking/accelerating sharply or turning). Determining the external forces that act on the motorcycle is very important for setting input parameters for calculating topological optimization and generative design. Topological optimization and generative design are the most important technologies for effective design of various motorcycle structures. They are embedded in separate calculation modules of modern CAE programs. Without knowledge of the load conditions and forces that act on various elements of the motorcycle, it is impossible to make an accurate calculation to optimize the mass of the structure or to conduct a generative design for parts and components of the motorcycle. Therefore, the method of effective design consists not only in the application of topological optimization and generative design, but also mainly in the knowledge of design features, geometric parameters, external forces, and load conditions of various types of motorcycles.

Index Terms— stress analysis, strength analysis, input parameters, static forces, dynamic forces, topology optimization, load cases

Cite: Olga O. Baryshnikova and Dmitry V. Strugovshchiko, "Methodology for Effective Design of Motorcycle Structures," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No. 7, pp.400-405, July 2021. DOI: 10.18178/ijmerr.10.7.400-405

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.