Zobrazeno 1 - 10
of 30
pro vyhledávání: '"A. A. Kuz'mishina"'
Publikováno v:
Russian Engineering Research. 41:140-144
Chip formation in machining is investigated. A relation is established between the type of chip, the type of crystal lattice, and the number of slip systems. A neural-network model of chip formation permits prediction of the type of chip. A smart con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9530701136d365df9bb7250a99328da1
https://doi.org/10.3103/s1068798x21020076
https://doi.org/10.3103/s1068798x21020076
Publikováno v:
Vestnik Mashinostroeniya. :81-86
The formation of chips during the processing of various materials was studied. The relationship between the type of chips, the type of crystal lattice of the material and the number of sliding systems is shown. A neural network model of chip formatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f4f24804672ad1c38c1290612f0918
https://doi.org/10.36652/0042-4633-2020-11-81-86
https://doi.org/10.36652/0042-4633-2020-11-81-86
Publikováno v:
Proceedings of Higher Educational Institutions. Маchine Building. :3-12
This paper presents an analysis of the development of adaptive control systems for CNC machines. It is shown that the construction of systems for optimal control of machining processes is based on such approaches as artificial intelligence, genetic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdcd1203b0020dad18c05ac83798ef7c
https://doi.org/10.18698/0536-1044-2020-1-3-12
https://doi.org/10.18698/0536-1044-2020-1-3-12
Publikováno v:
Russian Engineering Research. 39:761-765
A digital model of a cutting tool produced by neural-network modeling is considered. By means of this model, the composition and structure of a wear-resistant coating may be optimized. The machining conditions that ensure maximum wear resistance of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c276986bb07a655cdff01ab5956fdf
https://doi.org/10.3103/s1068798x19090089
https://doi.org/10.3103/s1068798x19090089
Publikováno v:
Russian Engineering Research. 39:637-644
Neural-network models used in the development of digital twins for production equipment are considered. Such a model of the dynamic stability of cutting is assessed. A spectrogram showing the vibrational amplitude and frequency of the elastic system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ecde3139a2a7ac2485a5f52e57af17
https://doi.org/10.3103/s1068798x19080070
https://doi.org/10.3103/s1068798x19080070
Publikováno v:
Proceedings of Higher Educational Institutions. Маchine Building. :11-17
A digital model (twin) of a cutting tool based on neural network modeling is proposed in this work. It is shown that the developed virtual model makes it possible to optimize the composition and structure of wear-resistant coating and to determine th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf4f46b3161bdbc43a5e217717e52ac
https://doi.org/10.18698/0536-1044-2019-4-11-17
https://doi.org/10.18698/0536-1044-2019-4-11-17
Publikováno v:
Russian Engineering Research. 37:962-968
The contact of the chip with the tool’s front surface in cutting is analyzed by numerical modeling. The high-pressure zones and buildup at the tool’s contact surface are studied. The influence of plastic instability of the chip surface and vortex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66fbdd41fec8bfd2aaf9eda81fadcf75
https://doi.org/10.3103/s1068798x17110053
https://doi.org/10.3103/s1068798x17110053
Autor:
Yu. G. Kabaldin, A. M. Kuz’mishina
Publikováno v:
Russian Engineering Research. 36:551-558
An atomic approach to chip deformation and failure in cutting is outlined. The relation of the shear strength and the type of chip to the energy characteristics of the crystal lattice, its packing-defect energy, and the latent heat of fusion is estab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749b4c6af1a0cae96a4db96ffca454b5
https://doi.org/10.3103/s1068798x1607008x
https://doi.org/10.3103/s1068798x1607008x
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 709:033081
A number of neural network models is presented when developing an aggregated digital twin of equipment as a cyber-physical system. Considered in detail are the twins of machining accuracy, chip formation and tool wear, on the basis of which systems f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::826e1c5e8a4c9cfccd2493c2c676c1d5
https://doi.org/10.1088/1757-899x/709/3/033081
https://doi.org/10.1088/1757-899x/709/3/033081
Publikováno v:
Russian Engineering Research; Sep2019, Vol. 39 Issue 9, p761-765, 5p