Determination of Optimal Milling Modes by Means of Shock-Vibration Load Reduction on Tool and Peak-Factor Equipment
| 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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| Corporate Authors: | , |
| Other Authors: | , , , , |
| Summary: | 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 |
| Published: |
2019
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| Online Access: | https://doi.org/10.4028/www.scientific.net/MSF.942.87 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660197 |