A knowledge-based intelligent decision system for production planning
Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration...
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| Autor*in: |
Ahmad, Rafiq [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London 2016 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 89(2016), 5-8 vom: 01. Aug., Seite 1717-1729 |
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| Übergeordnetes Werk: |
volume:89 ; year:2016 ; number:5-8 ; day:01 ; month:08 ; pages:1717-1729 |
| Links: |
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| DOI / URN: |
10.1007/s00170-016-9214-z |
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| Katalog-ID: |
OLC2026095280 |
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| 520 | |a Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. | ||
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| 650 | 4 | |a Safe tool-paths generation | |
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| 700 | 1 | |a Hascoet, Jean-Yves |4 aut | |
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10.1007/s00170-016-9214-z doi (DE-627)OLC2026095280 (DE-He213)s00170-016-9214-z-p DE-627 ger DE-627 rakwb eng 670 VZ Ahmad, Rafiq verfasserin aut A knowledge-based intelligent decision system for production planning 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. Multi-axis CNC machines Safe tool-paths generation Collision detection and avoidance Image processing Machine intelligence Tichadou, Stephane aut Hascoet, Jean-Yves aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 89(2016), 5-8 vom: 01. Aug., Seite 1717-1729 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:89 year:2016 number:5-8 day:01 month:08 pages:1717-1729 https://doi.org/10.1007/s00170-016-9214-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 89 2016 5-8 01 08 1717-1729 |
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10.1007/s00170-016-9214-z doi (DE-627)OLC2026095280 (DE-He213)s00170-016-9214-z-p DE-627 ger DE-627 rakwb eng 670 VZ Ahmad, Rafiq verfasserin aut A knowledge-based intelligent decision system for production planning 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. Multi-axis CNC machines Safe tool-paths generation Collision detection and avoidance Image processing Machine intelligence Tichadou, Stephane aut Hascoet, Jean-Yves aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 89(2016), 5-8 vom: 01. Aug., Seite 1717-1729 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:89 year:2016 number:5-8 day:01 month:08 pages:1717-1729 https://doi.org/10.1007/s00170-016-9214-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 89 2016 5-8 01 08 1717-1729 |
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10.1007/s00170-016-9214-z doi (DE-627)OLC2026095280 (DE-He213)s00170-016-9214-z-p DE-627 ger DE-627 rakwb eng 670 VZ Ahmad, Rafiq verfasserin aut A knowledge-based intelligent decision system for production planning 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. Multi-axis CNC machines Safe tool-paths generation Collision detection and avoidance Image processing Machine intelligence Tichadou, Stephane aut Hascoet, Jean-Yves aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 89(2016), 5-8 vom: 01. Aug., Seite 1717-1729 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:89 year:2016 number:5-8 day:01 month:08 pages:1717-1729 https://doi.org/10.1007/s00170-016-9214-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 89 2016 5-8 01 08 1717-1729 |
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10.1007/s00170-016-9214-z doi (DE-627)OLC2026095280 (DE-He213)s00170-016-9214-z-p DE-627 ger DE-627 rakwb eng 670 VZ Ahmad, Rafiq verfasserin aut A knowledge-based intelligent decision system for production planning 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. Multi-axis CNC machines Safe tool-paths generation Collision detection and avoidance Image processing Machine intelligence Tichadou, Stephane aut Hascoet, Jean-Yves aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 89(2016), 5-8 vom: 01. Aug., Seite 1717-1729 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:89 year:2016 number:5-8 day:01 month:08 pages:1717-1729 https://doi.org/10.1007/s00170-016-9214-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 89 2016 5-8 01 08 1717-1729 |
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Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. © Springer-Verlag London 2016 |
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Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. © Springer-Verlag London 2016 |
| abstract_unstemmed |
Abstract This paper presents a Knowledge-Based Intelligent Decision system (KIDs) that takes information from a vision sensor within the manufacturing process and generates automatic planning/path-planning decisions in for collision avoidance in virtual CAM production. In this paper, the integration of KIDs approach is presented in the context of conventional multi-axis machining. The proposed system would be implemented in the conventional machining processes and, in this paper, its future implementation in the context of STEP-NC-based CAM systems is also discussed. This contribution provides secure solutions that can detect and avoid collisions using multiple solutions including tool diversion strategy, but also offers many other opportunities such as process change, sequence change, plan change, etc. A bi-turret machining scenario is used as a test case, where two tools working together possess a synchronization issue. Multi-tool synchronization cycles during preparation should take into account the management of materials left on the work part. The proposed solutions allow multiple opportunities where the machining units (blank groove) can be enriched with new associated data such as uncut material (identified visually) that may cause collisions during production. It is not limited however and therefore could be integrated into the STEP-NC in CAM simulation environment where the system is gaining acceptance from industry. © Springer-Verlag London 2016 |
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A knowledge-based intelligent decision system for production planning |
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Tichadou, Stephane Hascoet, Jean-Yves |
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