Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment
Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing proc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ahmad, Rafiq [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 Taylor & Francis 2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: International journal of computer integrated manufacturing - London [u.a.] : Taylor & Francis, 1988, 29(2016), 9, Seite 982-995 |
|---|---|
| Übergeordnetes Werk: |
volume:29 ; year:2016 ; number:9 ; pages:982-995 |
| Links: |
|---|
| DOI / URN: |
10.1080/0951192X.2015.1130258 |
|---|
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OLC1982892420 |
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| 520 | |a Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. | ||
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10.1080/0951192X.2015.1130258 doi PQ20161012 (DE-627)OLC1982892420 (DE-599)GBVOLC1982892420 (PRQ)c1268-7b197c94596e1416e7fea8f6e9c05519b7e2fe238305699da3d6b6d38f9677870 (KEY)0164671020160000029000900982generationofsafeandintelligenttoolpathsformultiaxi DE-627 ger DE-627 rakwb eng 670 DNB Ahmad, Rafiq verfasserin aut Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. Nutzungsrecht: © 2015 Taylor & Francis 2015 collision detection and avoidance machine intelligence tool-paths safe trajectory generation image processing multi-axis CNC machines Tichadou, Stephane oth Hascoet, Jean-Yves oth Enthalten in International journal of computer integrated manufacturing London [u.a.] : Taylor & Francis, 1988 29(2016), 9, Seite 982-995 (DE-627)129267643 (DE-600)61399-X (DE-576)022517863 0951-192X nnns volume:29 year:2016 number:9 pages:982-995 http://dx.doi.org/10.1080/0951192X.2015.1130258 Volltext http://www.tandfonline.com/doi/abs/10.1080/0951192X.2015.1130258 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 AR 29 2016 9 982-995 |
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10.1080/0951192X.2015.1130258 doi PQ20161012 (DE-627)OLC1982892420 (DE-599)GBVOLC1982892420 (PRQ)c1268-7b197c94596e1416e7fea8f6e9c05519b7e2fe238305699da3d6b6d38f9677870 (KEY)0164671020160000029000900982generationofsafeandintelligenttoolpathsformultiaxi DE-627 ger DE-627 rakwb eng 670 DNB Ahmad, Rafiq verfasserin aut Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. Nutzungsrecht: © 2015 Taylor & Francis 2015 collision detection and avoidance machine intelligence tool-paths safe trajectory generation image processing multi-axis CNC machines Tichadou, Stephane oth Hascoet, Jean-Yves oth Enthalten in International journal of computer integrated manufacturing London [u.a.] : Taylor & Francis, 1988 29(2016), 9, Seite 982-995 (DE-627)129267643 (DE-600)61399-X (DE-576)022517863 0951-192X nnns volume:29 year:2016 number:9 pages:982-995 http://dx.doi.org/10.1080/0951192X.2015.1130258 Volltext http://www.tandfonline.com/doi/abs/10.1080/0951192X.2015.1130258 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 AR 29 2016 9 982-995 |
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670 DNB Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment collision detection and avoidance machine intelligence tool-paths safe trajectory generation image processing multi-axis CNC machines |
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Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment |
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Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment |
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Ahmad, Rafiq |
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generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2d virtual environment |
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Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment |
| abstract |
Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. |
| abstractGer |
Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. |
| abstract_unstemmed |
Complexity of multi-axis, multi-functional computer numeric control machine tools and high productivity requirements with high precision is increasing day by day. This enhances the growing importance of machine intelligence, automation and safety. Integration of different types of manufacturing process, for example, Mill-Turn is the need of modern technology but this integration also increases the profile of collision risks. The general context of this study is the multi-axis production process automation and intelligence (to work and react automatically) for safe tool movements. The work done during this research should appear in the form of machine intelligence for automatic safe and efficient collision-free tool trajectory generation without collisions. This study focuses on development of an intelligent approach for enhancing decision processes by providing automatic solutions to the collision problem. The main objective is to make machine vision control effective, that is, images or video processing, so that it can see activities regarding collisions and can react or command automatically for safe production. In the presence of obstacles, the proposed approach will provide decisions regarding trajectory correction and improvement. The proposed vision tool is able to take into account the evolution of the scene, such as the aspects of obstacle changes (shape, size or presence) during production. Results presented are based on automatic 2D traversal safe trajectory generation and correction in a virtual simulated but dynamic environment. The approach presented will be adapted to online collision problems on the shop-floor by integrating it with step-compliant data interface for numeric controls technology in the future. |
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Generation of safe and intelligent tool-paths for multi-axis machine-tools in a dynamic 2D virtual environment |
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http://dx.doi.org/10.1080/0951192X.2015.1130258 http://www.tandfonline.com/doi/abs/10.1080/0951192X.2015.1130258 |
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Tichadou, Stephane Hascoet, Jean-Yves |
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