Evolution of the DeNOC-based dynamic modelling for multibody systems
Dynamic modelling of a multibody system plays very essential role in its analyses. As a result, several methods for dynamic modelling have evolved over the years that allow one to analyse multibody systems in a very efficient manner. One such method of dynamic modelling is based on the concept of th...
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Series: | Mechanical Sciences |
Online Access: | http://www.mech-sci.net/4/1/2013/ms-4-1-2013.pdf |
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doaj-31b9d4b92d364299936c77768b7426662020-11-24T22:50:29ZengCopernicus PublicationsMechanical Sciences2191-91512191-916X2013-01-014112010.5194/ms-4-1-2013Evolution of the DeNOC-based dynamic modelling for multibody systemsS. K. SahaS. V. ShahP. V. NandihalDynamic modelling of a multibody system plays very essential role in its analyses. As a result, several methods for dynamic modelling have evolved over the years that allow one to analyse multibody systems in a very efficient manner. One such method of dynamic modelling is based on the concept of the Decoupled Natural Orthogonal Complement (DeNOC) matrices. The DeNOC-based methodology for dynamics modelling, since its introduction in 1995, has been applied to a variety of multibody systems such as serial, parallel, general closed-loop, flexible, legged, cam-follower, and space robots. The methodology has also proven useful for modelling of proteins and hyper-degree-of-freedom systems like ropes, chains, etc. This paper captures the evolution of the DeNOC-based dynamic modelling applied to different type of systems, and its benefits over other existing methodologies. It is shown that the DeNOC-based modelling provides deeper understanding of the dynamics of a multibody system. The power of the DeNOC-based modelling has been illustrated using several numerical examples.http://www.mech-sci.net/4/1/2013/ms-4-1-2013.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. K. Saha S. V. Shah P. V. Nandihal |
spellingShingle |
S. K. Saha S. V. Shah P. V. Nandihal Evolution of the DeNOC-based dynamic modelling for multibody systems Mechanical Sciences |
author_facet |
S. K. Saha S. V. Shah P. V. Nandihal |
author_sort |
S. K. Saha |
title |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
title_short |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
title_full |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
title_fullStr |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
title_full_unstemmed |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
title_sort |
evolution of the denoc-based dynamic modelling for multibody systems |
publisher |
Copernicus Publications |
series |
Mechanical Sciences |
issn |
2191-9151 2191-916X |
publishDate |
2013-01-01 |
description |
Dynamic modelling of a multibody system plays very essential role in its analyses. As a result, several methods for dynamic modelling have evolved over the years that allow one to analyse multibody systems in a very efficient manner. One such method of dynamic modelling is based on the concept of the Decoupled Natural Orthogonal Complement (DeNOC) matrices. The DeNOC-based methodology for dynamics modelling, since its introduction in 1995, has been applied to a variety of multibody systems such as serial, parallel, general closed-loop, flexible, legged, cam-follower, and space robots. The methodology has also proven useful for modelling of proteins and hyper-degree-of-freedom systems like ropes, chains, etc. This paper captures the evolution of the DeNOC-based dynamic modelling applied to different type of systems, and its benefits over other existing methodologies. It is shown that the DeNOC-based modelling provides deeper understanding of the dynamics of a multibody system. The power of the DeNOC-based modelling has been illustrated using several numerical examples. |
url |
http://www.mech-sci.net/4/1/2013/ms-4-1-2013.pdf |
work_keys_str_mv |
AT sksaha evolutionofthedenocbaseddynamicmodellingformultibodysystems AT svshah evolutionofthedenocbaseddynamicmodellingformultibodysystems AT pvnandihal evolutionofthedenocbaseddynamicmodellingformultibodysystems |
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