Examination and comparison of different methods to model closed loop kinematic chains using Lagrangian formulation with cut joint, clearance joint constraint and elastic joint approaches

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Authors
Marques, Filipe
Roupa, Ivo
Silva, Miguel T.
Flores, Paulo
Lankarani, Hamid M.
Advisors
Issue Date
2021-06
Type
Article
Keywords
Newton-Euler method , Lagrangian formulation , Closed loop kinematic chains , Open systems , Multibody system dynamics
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Citation
Marques, F., Roupa, I., Silva, M. T., Flores, P., & Lankarani, H. M. (2021). Examination and comparison of different methods to model closed loop kinematic chains using lagrangian formulation with cut joint, clearance joint constraint and elastic joint approaches. Mechanism and Machine Theory, 160 doi:10.1016/j.mechmachtheory.2021.104294
Abstract

This work aims at presenting, in a comprehensive manner, several approaches to model and simulate closed loop topologies using the classical Lagrangian formulation. One of the great advantages of the Lagrangian approach is its simplicity and easiness of obtaining the equations of motion. However, a critical aspect arises when the mechanical systems include closed loop topologies, since the process of deriving the equations of motion becomes a complex task. The key point of the present study is to convert the closed loop nature into open systems, which ultimately simplifies the modeling process when the Lagrangian formulation is utilized. For this purpose, three different methods are considered, namely those based on the cut joint approach, the clearance joint constraint model, and the elastic joint formulation are used. In the sequel of this process, a slider-crank mechanism is utilized as a demonstrative application example, and the main results are compared with those obtained with the well-established Newton-Euler method for constrained multibody systems. Moreover, this example allows the comparison of the main characteristics and peculiarities of the described approaches.

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Publisher
Elsevier
Journal
Book Title
Series
Mechanism and Machine Theory;Vol. 160
PubMed ID
DOI
ISSN
0094-114X
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