Determination of Optimal Milling Modes by Means of Shock-Vibration Load Reduction on Tool and Peak-Factor Equipment; Materials Science Forum; Vol. 942 : Modern Problems in Materials Processing, Manufacturing, Testing and Quality Assurance
| Parent link: | Materials Science Forum: Scientific Journal Vol. 942 : Modern Problems in Materials Processing, Manufacturing, Testing and Quality Assurance.— 2019.— [P. 87-96] |
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| Coauteurs: | , |
| Andere auteurs: | , , , , |
| Samenvatting: | Title screen Vibrodiagnostics of metal-cutting machines is an efficient method to increase reliability of all elements of the technological system «machine tool-device-instrument-detail». The development of vibrodiagnostic methods is especially important for milling metal-cutting machines which operate in intermittent cutting mode and are exposed to shock-vibration loads. One of the trends in the development of metal cutting equipment is to increase its productivity by expanding the ranges of cutting modes. Increase in the combination of cutting modes leads to increased probability of coincidence of the natural frequencies of the equipment and the frequencies of the cutting process which in its turn leads to operation of the machine equipment elements under resonance conditions. In the article we provide the results of our research aimed to develop the method to reduce shock-vibration load on tool and peak-factor equipment of milling machine. In our research we developed the technique that makes it possible to measure not only the general level of vibration, but also other parameters used for vibrodiagnostics, for example, the value of the peak factor has been developed. The method includes the development of a principle layout and of a plan for a three-factor experiment, construction and analysis of vibrational and spectral diagrams of the milling process for the assignment of optimal modes that provide machine operating at lower level of shock-vibration loads. Based on the results of the work we have come to the conclusion that it is rather promising to use the peak factor in analysis of the milling machines reliability. Режим доступа: по договору с организацией-держателем ресурса |
| Taal: | Engels |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.4028/www.scientific.net/MSF.942.87 |
| Formaat: | Elektronisch Hoofdstuk |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660197 |
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| 200 | 1 | |a Determination of Optimal Milling Modes by Means of Shock-Vibration Load Reduction on Tool and Peak-Factor Equipment |f A. N. Gavrilin [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 330 | |a Vibrodiagnostics of metal-cutting machines is an efficient method to increase reliability of all elements of the technological system «machine tool-device-instrument-detail». The development of vibrodiagnostic methods is especially important for milling metal-cutting machines which operate in intermittent cutting mode and are exposed to shock-vibration loads. One of the trends in the development of metal cutting equipment is to increase its productivity by expanding the ranges of cutting modes. Increase in the combination of cutting modes leads to increased probability of coincidence of the natural frequencies of the equipment and the frequencies of the cutting process which in its turn leads to operation of the machine equipment elements under resonance conditions. In the article we provide the results of our research aimed to develop the method to reduce shock-vibration load on tool and peak-factor equipment of milling machine. In our research we developed the technique that makes it possible to measure not only the general level of vibration, but also other parameters used for vibrodiagnostics, for example, the value of the peak factor has been developed. The method includes the development of a principle layout and of a plan for a three-factor experiment, construction and analysis of vibrational and spectral diagrams of the milling process for the assignment of optimal modes that provide machine operating at lower level of shock-vibration loads. Based on the results of the work we have come to the conclusion that it is rather promising to use the peak factor in analysis of the milling machines reliability. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\24092 |t Materials Science Forum |o Scientific Journal | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\28876 |t Vol. 942 : Modern Problems in Materials Processing, Manufacturing, Testing and Quality Assurance |o January 2019, Tomsk, Russia |f National Research Tomsk Polytechnic University (TPU) ; ed. A. P. Surzhikov |v [P. 87-96] |d 2019 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a milling machine | |
| 610 | 1 | |a peak-factor | |
| 610 | 1 | |a technological mode | |
| 610 | 1 | |a vibration diagnostics | |
| 610 | 1 | |a vibration level | |
| 610 | 1 | |a фрезерные станки | |
| 610 | 1 | |a технологический режим | |
| 610 | 1 | |a вибродиагностика | |
| 610 | 1 | |a вибрации | |
| 701 | 1 | |a Gavrilin |b A. N. |c Specialist in the field of mechanical engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1960- |g Aleksei Nikolaevich |3 (RuTPU)RU\TPU\pers\33397 |9 17091 | |
| 701 | 1 | |a Moyzes [Moises] |b B. B. |c specialist in the field of mechanical engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1975- |g Boris Borisovich |3 (RuTPU)RU\TPU\pers\32979 |9 16824 | |
| 701 | 1 | |a Kuvshinov |b K. A. |c specialist in the field of material science |c Senior Lecturer of Tomsk Polytechnic University |f 1983- |g Kirill Alexandrovich |3 (RuTPU)RU\TPU\pers\42378 |9 21523 | |
| 701 | 1 | |a Vedyashkin |b M. V. |c Specialist in the field of non-destructive testing |c Senior Lecturer of Tomsk Polytechnic University, Candidate of technical sciences |f 1978- |g Maxim Viktorovich |3 (RuTPU)RU\TPU\pers\37545 | |
| 701 | 1 | |a Surzhikova |b О. A. |c economist |c senior researcher of Tomsk Polytechnic University, candidate of economic sciences |f 1982- |g Olga Anatolievna |3 (RuTPU)RU\TPU\pers\35095 | |
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