Energy-saving Technologies and Research I Using Neural Network Models

Sergiy V. Kovalevskyy; Ekaterina A. Zavgorodnyaya

doi:doi:10.11648/j.ajnna.20150101.13

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Energy-saving Technologies and Research I Using Neural Network Models

Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya

Published in American Journal of Neural Networks and Applications (Volume 1, Issue 1)

Received: 14 June 2015 Accepted: 28 July 2015 Published: 29 July 2015

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Abstract

In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments

Published in	American Journal of Neural Networks and Applications (Volume 1, Issue 1)
DOI	10.11648/j.ajnna.20150101.13
Page(s)	23-28
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Surface-active Substance, Residual Stress, Electropulse Processing, Burnishing, Neural Network, Hardening, Self-propagating High-temperature Synthesis, Nonresharpened Replaceable Many-sided Plate (Nrp), Cutting Tool

References

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[2]	Babey J.I. The physical basis of pulse hardening of a steel and pig-iron. – Kiev: Naukova dumka, 1988. – 240с.
[3]	Bagmutov V. P, Parshev S.N., Dudkina N.G., Zaharov I.N. The electromechanical processing: technological and physical bases, properties, realisation. – Novosibirsk: the Science, 2003. – 318с.
[4]	Jakovlev S.A., Zhiganov V. I. EMP on lathes // STIN.2000. № 6.
[5]	Markauskas S.S. The electro-mechanical hardening of a surface by the tool with compulsory rotation of a roller//Researches and workings out in the field of hardening and restoration of details of cars by electromechanical processing. - Ulyanovsk, 1999.
[6]	Carbide, Nitride and Boride Materials Synthesis and Processing. Ed. Alan W.Weimer, London–Weinheim–New York–Tokyo–Melburne–Madras: Chapman AND Hall, 1997, 671 pp.
[7]	Corbin, N.D., and McCauley, J.W., Self-Propagating High Temperature Synthesis (SHS): Current Status and Future Prospects, MTL MS 86-1, Watertown, MA, May 1986
[8]	Gah V.M. Choose of rational marks of tool materials. //Reliability of the tool and optimisation of technological systems. The collection of proceedings. - Kramatorsk: DGMA, №14, 2003
[9]	Klyuev V., 2005, Non-destructive testing, Russia. Ref. / In .. Klyuyev, F.., C2 .. Rumyantsev et al., Ed. In .. Klyuev .- M. Mashinostroenie, ISBN 5-217-03300-2.
[10]	http://www.Pramet.com
[11]	The use of neural network techniques for condition monitoring of acoustic cutting tool / S.Kovalevsky, E.Tkachenko L.Tyutyunnik, E.Bugaev, P. Dasic // Neuro networked technologies and their applications: Proceedings of the All-Ukrainian scientific conference with international participation. - Kramatorsk: DSEA, 2013. - P. 51-54.
[12]	Kovalevsky SV . Use Kohonen maps for Integrated Assessment of cutting properties of abrasive wheels / S. Kovalevsky, A.Yanyushkin, E.Bugayov // Mechanics XXI century. XI All-Russian Scientific Conference with international participation: summary reports. - Bratsk VPO "BrSU", 2012. - S. 177-180.
[13]	The use of Kohonen maps for selection of inserts / E.Kovalevskaya L.Tyutyunnik E.Tulupova, D.Lobanov // Mechanics XXI century. XI All-Russian Scientific Conference with international participation: summary reports. - Bratsk VPO "BrSU", 2012. - S. 175-177.

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Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya. (2015). Energy-saving Technologies and Research I Using Neural Network Models. American Journal of Neural Networks and Applications, 1(1), 23-28. https://doi.org/10.11648/j.ajnna.20150101.13

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ACS Style

Sergiy V. Kovalevskyy; Ekaterina A. Zavgorodnyaya. Energy-saving Technologies and Research I Using Neural Network Models. Am. J. Neural Netw. Appl. 2015, 1(1), 23-28. doi: 10.11648/j.ajnna.20150101.13

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AMA Style

Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya. Energy-saving Technologies and Research I Using Neural Network Models. Am J Neural Netw Appl. 2015;1(1):23-28. doi: 10.11648/j.ajnna.20150101.13

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@article{10.11648/j.ajnna.20150101.13,
  author = {Sergiy V. Kovalevskyy and Ekaterina A. Zavgorodnyaya},
  title = {Energy-saving Technologies and Research I Using Neural Network Models},
  journal = {American Journal of Neural Networks and Applications},
  volume = {1},
  number = {1},
  pages = {23-28},
  doi = {10.11648/j.ajnna.20150101.13},
  url = {https://doi.org/10.11648/j.ajnna.20150101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20150101.13},
  abstract = {In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments},
 year = {2015}
}

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TY  - JOUR
T1  - Energy-saving Technologies and Research I Using Neural Network Models
AU  - Sergiy V. Kovalevskyy
AU  - Ekaterina A. Zavgorodnyaya
Y1  - 2015/07/29
PY  - 2015
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DO  - 10.11648/j.ajnna.20150101.13
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 23
EP  - 28
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20150101.13
AB  - In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments
VL  - 1
IS  - 1
ER  -

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Author Information

Sergiy V. Kovalevskyy

Donbas State Engineering Academy, Faculty of integrated technology and equipment, Kramatorsk, Ukraine
Ekaterina A. Zavgorodnyaya

Donbas State Engineering Academy, Faculty of integrated technology and equipment, Kramatorsk, Ukraine

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APA Style

Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya. (2015). Energy-saving Technologies and Research I Using Neural Network Models. American Journal of Neural Networks and Applications, 1(1), 23-28. https://doi.org/10.11648/j.ajnna.20150101.13

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ACS Style

Sergiy V. Kovalevskyy; Ekaterina A. Zavgorodnyaya. Energy-saving Technologies and Research I Using Neural Network Models. Am. J. Neural Netw. Appl. 2015, 1(1), 23-28. doi: 10.11648/j.ajnna.20150101.13

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AMA Style

Sergiy V. Kovalevskyy, Ekaterina A. Zavgorodnyaya. Energy-saving Technologies and Research I Using Neural Network Models. Am J Neural Netw Appl. 2015;1(1):23-28. doi: 10.11648/j.ajnna.20150101.13

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@article{10.11648/j.ajnna.20150101.13,
  author = {Sergiy V. Kovalevskyy and Ekaterina A. Zavgorodnyaya},
  title = {Energy-saving Technologies and Research I Using Neural Network Models},
  journal = {American Journal of Neural Networks and Applications},
  volume = {1},
  number = {1},
  pages = {23-28},
  doi = {10.11648/j.ajnna.20150101.13},
  url = {https://doi.org/10.11648/j.ajnna.20150101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20150101.13},
  abstract = {In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Energy-saving Technologies and Research I Using Neural Network Models
AU  - Sergiy V. Kovalevskyy
AU  - Ekaterina A. Zavgorodnyaya
Y1  - 2015/07/29
PY  - 2015
N1  - https://doi.org/10.11648/j.ajnna.20150101.13
DO  - 10.11648/j.ajnna.20150101.13
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 23
EP  - 28
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20150101.13
AB  - In article he results of researches in different aspects of surface treatment are submitted. New type of the process of stabilization of residual pressure is considered. Also new ways of hardening of details are investigated and compared. The problem of new tools and the question of its more effective using are considered. The way of neural network modeling for data processing was used for in all experiments
VL  - 1
IS  - 1
ER  -

Copy | Download