Identification of fuzzy boundaries of cutter power using control chart method
The body of knowledge of the intelligent control system e-MindMachine of the multi-operation machine contains each tool condition data including its remaining life time. This is required to obtain conclusions on the possibility of the planned machining pass, the wear size value, the necessity to cha...
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| Format: | Article |
| Language: | Russian |
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Don State Technical University
2016-06-01
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| Series: | Advanced Engineering Research |
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| Online Access: | https://www.vestnik-donstu.ru/jour/article/view/75 |
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| author | Andrey K. Tugengold Andrey I. Izyumov DmitryY. . Terekhov |
| author_facet | Andrey K. Tugengold Andrey I. Izyumov DmitryY. . Terekhov |
| author_sort | Andrey K. Tugengold |
| collection | DOAJ |
| description | The body of knowledge of the intelligent control system e-MindMachine of the multi-operation machine contains each tool condition data including its remaining life time. This is required to obtain conclusions on the possibility of the planned machining pass, the wear size value, the necessity to change cutting conditions during the operation in the fuzzy boundary strip area, etc. In addition to the previously described methods of assessing the initial and final values of the boundary strip time as an uncertainty state area, a visual method using a modification of Shewhart control charts is offered. The adaptive control charts allow tracking the tool wear progress warning of deviations from the requirements to the process. A program sheet with the appropriate control charts and examples of their usage for the assessing the tool state and forecasting the boundary strip parameters is presented. The dependences of estimations of the expectation of the wear size and scattering within the linear tool wear zone, appropriate velocity functions and a posteriori values for the future operation in the boundary strip area are described. On this basis, the timing estimation of the boundary strip head and end is predicted. The processing of the statistical control charts is performed by the MATLABStatisticstoolbox application package. |
| format | Article |
| id | doaj-art-0ceca99c80c4482cac2e2e48f863472a |
| institution | Matheson Library |
| issn | 2687-1653 |
| language | Russian |
| publishDate | 2016-06-01 |
| publisher | Don State Technical University |
| record_format | Article |
| series | Advanced Engineering Research |
| spelling | doaj-art-0ceca99c80c4482cac2e2e48f863472a2025-08-04T12:52:53ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532016-06-01162435010.12737/1968575Identification of fuzzy boundaries of cutter power using control chart methodAndrey K. Tugengold0Andrey I. Izyumov1DmitryY. . Terekhov2Don State Technical UniversityDon State Technical UniversityDon State Technical UniversityThe body of knowledge of the intelligent control system e-MindMachine of the multi-operation machine contains each tool condition data including its remaining life time. This is required to obtain conclusions on the possibility of the planned machining pass, the wear size value, the necessity to change cutting conditions during the operation in the fuzzy boundary strip area, etc. In addition to the previously described methods of assessing the initial and final values of the boundary strip time as an uncertainty state area, a visual method using a modification of Shewhart control charts is offered. The adaptive control charts allow tracking the tool wear progress warning of deviations from the requirements to the process. A program sheet with the appropriate control charts and examples of their usage for the assessing the tool state and forecasting the boundary strip parameters is presented. The dependences of estimations of the expectation of the wear size and scattering within the linear tool wear zone, appropriate velocity functions and a posteriori values for the future operation in the boundary strip area are described. On this basis, the timing estimation of the boundary strip head and end is predicted. The processing of the statistical control charts is performed by the MATLABStatisticstoolbox application package.https://www.vestnik-donstu.ru/jour/article/view/75многооперационный станокмониторинг состояния инструментанечеткая граница размерной стойкости инструментаконтрольные карты шухартаmultioperational machinetool state monitoringfuzzy boundary of tool wear sizeshewhart control charts |
| spellingShingle | Andrey K. Tugengold Andrey I. Izyumov DmitryY. . Terekhov Identification of fuzzy boundaries of cutter power using control chart method Advanced Engineering Research многооперационный станок мониторинг состояния инструмента нечеткая граница размерной стойкости инструмента контрольные карты шухарта multioperational machine tool state monitoring fuzzy boundary of tool wear size shewhart control charts |
| title | Identification of fuzzy boundaries of cutter power using control chart method |
| title_full | Identification of fuzzy boundaries of cutter power using control chart method |
| title_fullStr | Identification of fuzzy boundaries of cutter power using control chart method |
| title_full_unstemmed | Identification of fuzzy boundaries of cutter power using control chart method |
| title_short | Identification of fuzzy boundaries of cutter power using control chart method |
| title_sort | identification of fuzzy boundaries of cutter power using control chart method |
| topic | многооперационный станок мониторинг состояния инструмента нечеткая граница размерной стойкости инструмента контрольные карты шухарта multioperational machine tool state monitoring fuzzy boundary of tool wear size shewhart control charts |
| url | https://www.vestnik-donstu.ru/jour/article/view/75 |
| work_keys_str_mv | AT andreyktugengold identificationoffuzzyboundariesofcutterpowerusingcontrolchartmethod AT andreyiizyumov identificationoffuzzyboundariesofcutterpowerusingcontrolchartmethod AT dmitryyterekhov identificationoffuzzyboundariesofcutterpowerusingcontrolchartmethod |