The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment
Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firm...
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| Autor*in: |
Chen, Shao-Hsien [verfasserIn] Tsao, Jia-Xin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International journal of precision engineering and manufacturing - Korean Society for Precision Engineering, 2009, 25(2024), 8 vom: 23. Mai, Seite 1651-1667 |
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| Übergeordnetes Werk: |
volume:25 ; year:2024 ; number:8 ; day:23 ; month:05 ; pages:1651-1667 |
| Links: |
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| DOI / URN: |
10.1007/s12541-024-00982-0 |
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| Katalog-ID: |
SPR056682670 |
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| 520 | |a Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. | ||
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10.1007/s12541-024-00982-0 doi (DE-627)SPR056682670 (SPR)s12541-024-00982-0-e DE-627 ger DE-627 rakwb eng 600 VZ Chen, Shao-Hsien verfasserin (orcid)0000-0001-9053-4951 aut The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. Uniform Design (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 CNC Machine Tool and Leveling Accuracy (dpeaa)DE-He213 Tsao, Jia-Xin verfasserin aut Enthalten in International journal of precision engineering and manufacturing Korean Society for Precision Engineering, 2009 25(2024), 8 vom: 23. Mai, Seite 1651-1667 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:25 year:2024 number:8 day:23 month:05 pages:1651-1667 https://dx.doi.org/10.1007/s12541-024-00982-0 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2024 8 23 05 1651-1667 |
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10.1007/s12541-024-00982-0 doi (DE-627)SPR056682670 (SPR)s12541-024-00982-0-e DE-627 ger DE-627 rakwb eng 600 VZ Chen, Shao-Hsien verfasserin (orcid)0000-0001-9053-4951 aut The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. Uniform Design (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 CNC Machine Tool and Leveling Accuracy (dpeaa)DE-He213 Tsao, Jia-Xin verfasserin aut Enthalten in International journal of precision engineering and manufacturing Korean Society for Precision Engineering, 2009 25(2024), 8 vom: 23. Mai, Seite 1651-1667 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:25 year:2024 number:8 day:23 month:05 pages:1651-1667 https://dx.doi.org/10.1007/s12541-024-00982-0 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2024 8 23 05 1651-1667 |
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10.1007/s12541-024-00982-0 doi (DE-627)SPR056682670 (SPR)s12541-024-00982-0-e DE-627 ger DE-627 rakwb eng 600 VZ Chen, Shao-Hsien verfasserin (orcid)0000-0001-9053-4951 aut The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. Uniform Design (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 CNC Machine Tool and Leveling Accuracy (dpeaa)DE-He213 Tsao, Jia-Xin verfasserin aut Enthalten in International journal of precision engineering and manufacturing Korean Society for Precision Engineering, 2009 25(2024), 8 vom: 23. Mai, Seite 1651-1667 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:25 year:2024 number:8 day:23 month:05 pages:1651-1667 https://dx.doi.org/10.1007/s12541-024-00982-0 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2024 8 23 05 1651-1667 |
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10.1007/s12541-024-00982-0 doi (DE-627)SPR056682670 (SPR)s12541-024-00982-0-e DE-627 ger DE-627 rakwb eng 600 VZ Chen, Shao-Hsien verfasserin (orcid)0000-0001-9053-4951 aut The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. Uniform Design (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 CNC Machine Tool and Leveling Accuracy (dpeaa)DE-He213 Tsao, Jia-Xin verfasserin aut Enthalten in International journal of precision engineering and manufacturing Korean Society for Precision Engineering, 2009 25(2024), 8 vom: 23. Mai, Seite 1651-1667 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:25 year:2024 number:8 day:23 month:05 pages:1651-1667 https://dx.doi.org/10.1007/s12541-024-00982-0 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2024 8 23 05 1651-1667 |
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10.1007/s12541-024-00982-0 doi (DE-627)SPR056682670 (SPR)s12541-024-00982-0-e DE-627 ger DE-627 rakwb eng 600 VZ Chen, Shao-Hsien verfasserin (orcid)0000-0001-9053-4951 aut The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. Uniform Design (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 CNC Machine Tool and Leveling Accuracy (dpeaa)DE-He213 Tsao, Jia-Xin verfasserin aut Enthalten in International journal of precision engineering and manufacturing Korean Society for Precision Engineering, 2009 25(2024), 8 vom: 23. Mai, Seite 1651-1667 (DE-627)609403109 (DE-600)2515436-9 2005-4602 nnns volume:25 year:2024 number:8 day:23 month:05 pages:1651-1667 https://dx.doi.org/10.1007/s12541-024-00982-0 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2024 8 23 05 1651-1667 |
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the application of uniform design and fuzzy analysis to cnc machine tool leveling accuracy adjustment |
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The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment |
| abstract |
Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment |
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Tsao, Jia-Xin |
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10.1007/s12541-024-00982-0 |
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| score |
7.4014616 |