Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement
Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm...
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| Autor*in: |
Lee, Chan-Young [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 119(2022), 5-6 vom: 09. Jan., Seite 3757-3770 |
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| Übergeordnetes Werk: |
volume:119 ; year:2022 ; number:5-6 ; day:09 ; month:01 ; pages:3757-3770 |
| Links: |
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| DOI / URN: |
10.1007/s00170-021-08434-z |
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OLC2078135941 |
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| 520 | |a Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. | ||
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10.1007/s00170-021-08434-z doi (DE-627)OLC2078135941 (DE-He213)s00170-021-08434-z-p DE-627 ger DE-627 rakwb eng 670 VZ Lee, Chan-Young verfasserin (orcid)0000-0002-5240-8230 aut Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. Precision machining Machine tool simulation CNC interpolation Hwang, Soon-Hong (orcid)0000-0002-7562-4569 aut Min, Byung-Kwon (orcid)0000-0001-7211-4427 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 119(2022), 5-6 vom: 09. Jan., Seite 3757-3770 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:119 year:2022 number:5-6 day:09 month:01 pages:3757-3770 https://doi.org/10.1007/s00170-021-08434-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 119 2022 5-6 09 01 3757-3770 |
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10.1007/s00170-021-08434-z doi (DE-627)OLC2078135941 (DE-He213)s00170-021-08434-z-p DE-627 ger DE-627 rakwb eng 670 VZ Lee, Chan-Young verfasserin (orcid)0000-0002-5240-8230 aut Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. Precision machining Machine tool simulation CNC interpolation Hwang, Soon-Hong (orcid)0000-0002-7562-4569 aut Min, Byung-Kwon (orcid)0000-0001-7211-4427 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 119(2022), 5-6 vom: 09. Jan., Seite 3757-3770 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:119 year:2022 number:5-6 day:09 month:01 pages:3757-3770 https://doi.org/10.1007/s00170-021-08434-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 119 2022 5-6 09 01 3757-3770 |
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10.1007/s00170-021-08434-z doi (DE-627)OLC2078135941 (DE-He213)s00170-021-08434-z-p DE-627 ger DE-627 rakwb eng 670 VZ Lee, Chan-Young verfasserin (orcid)0000-0002-5240-8230 aut Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. Precision machining Machine tool simulation CNC interpolation Hwang, Soon-Hong (orcid)0000-0002-7562-4569 aut Min, Byung-Kwon (orcid)0000-0001-7211-4427 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 119(2022), 5-6 vom: 09. Jan., Seite 3757-3770 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:119 year:2022 number:5-6 day:09 month:01 pages:3757-3770 https://doi.org/10.1007/s00170-021-08434-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 119 2022 5-6 09 01 3757-3770 |
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10.1007/s00170-021-08434-z doi (DE-627)OLC2078135941 (DE-He213)s00170-021-08434-z-p DE-627 ger DE-627 rakwb eng 670 VZ Lee, Chan-Young verfasserin (orcid)0000-0002-5240-8230 aut Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. Precision machining Machine tool simulation CNC interpolation Hwang, Soon-Hong (orcid)0000-0002-7562-4569 aut Min, Byung-Kwon (orcid)0000-0001-7211-4427 aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 119(2022), 5-6 vom: 09. Jan., Seite 3757-3770 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:119 year:2022 number:5-6 day:09 month:01 pages:3757-3770 https://doi.org/10.1007/s00170-021-08434-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 119 2022 5-6 09 01 3757-3770 |
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Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract This paper proposes a new optimization algorithm of a computerized numerical controller (CNC) interpolator parameter using a simulation model to reduce trajectory error, which is the difference between the path of the part program and the actual trajectory. A tool path generation algorithm with a look-ahead of the CNC interpolator is proposed for high-precision machining. A feed drive model and control algorithm is modeled to describe the closed-loop dynamics of the CNC machine tool feed drive. The simulation model of machine tool is designed to estimate the trajectory error. To find the optimal parameter values of the CNC interpolator to improve machining accuracy, a simulation-based optimization method utilizing a genetic algorithm was used. A two-axis feed drive test rig was used to evaluate the estimation accuracy of the simulation model and investigate the effectiveness of the proposed method. Trajectory error was estimated using the simulation model, and compared with the experimental results, to evaluate the accuracy of estimation of the simulation model. The experimental results demonstrated that the trajectory error can be reduced without increasing the cycle time by applying the proposed optimization method. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement |
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Hwang, Soon-Hong Min, Byung-Kwon |
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