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Evolution of the DeNOC-based dynamic modelling for multibody systems
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| Zeitschriftentitel: | Mechanical Sciences |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Mechanical Sciences, 4, 2013, 1, S. 1-20 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Saha, S. K. Shah, S. V. Nandihal, P. V. Saha, S. K. Shah, S. V. Nandihal, P. V. |
|---|---|
| author |
Saha, S. K. Shah, S. V. Nandihal, P. V. |
| spellingShingle |
Saha, S. K. Shah, S. V. Nandihal, P. V. Mechanical Sciences Evolution of the DeNOC-based dynamic modelling for multibody systems Industrial and Manufacturing Engineering Fluid Flow and Transfer Processes Mechanical Engineering Mechanics of Materials Civil and Structural Engineering Control and Systems Engineering |
| author_sort |
saha, s. k. |
| spelling |
Saha, S. K. Shah, S. V. Nandihal, P. V. 2191-916X Copernicus GmbH Industrial and Manufacturing Engineering Fluid Flow and Transfer Processes Mechanical Engineering Mechanics of Materials Civil and Structural Engineering Control and Systems Engineering http://dx.doi.org/10.5194/ms-4-1-2013 <jats:p>Abstract. 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.</jats:p> Evolution of the DeNOC-based dynamic modelling for multibody systems Mechanical Sciences |
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| title |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
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Evolution of the DeNOC-based dynamic modelling for multibody systems |
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Evolution of the DeNOC-based dynamic modelling for multibody systems |
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Evolution of the DeNOC-based dynamic modelling for multibody systems |
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Evolution of the DeNOC-based dynamic modelling for multibody systems |
| title_short |
Evolution of the DeNOC-based dynamic modelling for multibody systems |
| title_sort |
evolution of the denoc-based dynamic modelling for multibody systems |
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Industrial and Manufacturing Engineering Fluid Flow and Transfer Processes Mechanical Engineering Mechanics of Materials Civil and Structural Engineering Control and Systems Engineering |
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http://dx.doi.org/10.5194/ms-4-1-2013 |
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2013 |
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1-20 |
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<jats:p>Abstract. 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.</jats:p> |
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| description | <jats:p>Abstract. 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.</jats:p> |
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| spelling | Saha, S. K. Shah, S. V. Nandihal, P. V. 2191-916X Copernicus GmbH Industrial and Manufacturing Engineering Fluid Flow and Transfer Processes Mechanical Engineering Mechanics of Materials Civil and Structural Engineering Control and Systems Engineering http://dx.doi.org/10.5194/ms-4-1-2013 <jats:p>Abstract. 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.</jats:p> Evolution of the DeNOC-based dynamic modelling for multibody systems Mechanical Sciences |
| spellingShingle | Saha, S. K., Shah, S. V., Nandihal, P. V., Mechanical Sciences, Evolution of the DeNOC-based dynamic modelling for multibody systems, Industrial and Manufacturing Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering, Control and Systems Engineering |
| title | 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_short | Evolution of the DeNOC-based dynamic modelling for multibody systems |
| title_sort | evolution of the denoc-based dynamic modelling for multibody systems |
| title_unstemmed | Evolution of the DeNOC-based dynamic modelling for multibody systems |
| topic | Industrial and Manufacturing Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering, Control and Systems Engineering |
| url | http://dx.doi.org/10.5194/ms-4-1-2013 |