Information technology systems data quality assurance at the control surface qualities

Authors

  • Иван Владимирович Мирошниченко National Technical University of Ukraine "Kyiv Polytechnic Institute" Prospect, 37, Kiev, 03056, Ukraine

DOI:

https://doi.org/10.15587/2312-8372.2013.19641

Keywords:

information technologies, roughness, undulation, unified channel for roughness profile ordinates measurement

Abstract

Some of the main indicators of the surface quality are geometrical features, the differentiation criterion of which is the relation of the step S to the full roughness height R. At S/R over 1000, macro-roughness (form deviation), defined by manufacturing tolerance is analyzed; at S/R=50…1000 – undulation, and at S/R less than 50 -roughness. In the design of multichannel and multifunction adaptive systems of experimental data processing with integrated software programmable measuring channels of profile ordinates of surface roughness of extended aviation products, it is preferable to use analog contact inductive sensors, which are the most resistant to overload shocks and the influence of external magnetic fields. Such systems allow estimating the roughness parameter Ra not only for standard samples, but also for simple non-linear surfaces, the section of which in the measurement plane is represented as a basic straight line.

Formally, the problem of external design of the adaptive control system can be reduced to solving three statistic measuring problems. It is shown that information technologies for control systems design, using the generalized accuracy concept, which is characterized by considering the set of measurement accuracy indicators, reliability, noise immunity and electromagnetic compatibility can be applied in the systems design for on-line calculation of statistic surface quality parameters -roughness, and dynamic parameters - undulation, in manufacturing extended products of aerospace engineering

Author Biography

Иван Владимирович Мирошниченко, National Technical University of Ukraine "Kyiv Polytechnic Institute" Prospect, 37, Kiev, 03056

Senior Lecturer

Department of design automation of energy processes and systems

References

  1. Российская энциклопедия. CALS. Авиационно-космическое машиностроение [Текст]/ под ред. А. Г. Братухина. – М.: ОАО НИЦ АСК, 2008. – 232 с.
  2. Мирошниченко, И. В. Об одном способе классификации статистических измерительных задач [Текст]/ И. В. Мирошниченко // Математичне та комп`ютерне моделювання. – 2012. – Вип. 7. – С. 132-139.
  3. Реклейтис, Г. Оптимизация в технике [Текст]: пер. с англ. / Г. Реклейтис, А. Рейвиндран, С. Рэгсдейл. – В 2-х кн. – М.: Мир, 1986. – 349 с.
  4. Корниенко, Г. И. Перспективы развития и применения проблемно-ориентированных ЦВК для обработки данных натурных испытаний [Текст]/ Г. И. Корниенко // Построение автоматизированных систем обработки экспериментальных данных. – Киев: ИК АН УССР, 1985. – С. 3-5.
  5. Кейслер, Г. Теория моделей [Текст]: пер. с англ. / Г.
  6. Кейслер, Ч. Чен – М.: Мир, 1977. – 616 с.
  7. Норенков, И. П. Информационная поддержка наукоёмких изделий (CALS-технологии) [Текст]/ И. П. Норенков, П. К. Кузьмик. – М.: Изд. МВТУ им. Н.Э Баумана, 2002. – С. 45-50.
  8. Detling, V. S. Information-logical model error of random statistical characteristics measurements [Text] / V. S. Detling, C. Kartunov, I. V. Miroshnichenko //International scientific conference, Gabrovo, 23-24 Nov. 2007 – P. 322-327.
  9. Пономаренко, В. К. Повышение точности вычисления моментов высоких порядков случайных процессов с ограниченным диапазоном значений. [Текст] / В. К. Пономаренко, В. С. Мирошниченко // Труды IV Всесоюзной Школы-семинара по статистической гидроакустике. – Новосибирск, 1973. – С. 38-40.
  10. Пономаренко, В. К Выбор параметров измерителей числовых характеристик случайных процессов. [Текст] / В. К. Пономаренко, В. С. Мирошниченко // Изв. ВУЗ СССР, разд. Радиоэлектроника. – 1971. – № XVI.– С. 7.
  11. Детлинг, В. С. Інформацийно-вимірювальна система забезпечення якості шорсткості поверхні [Текст] / В.С. Детлинг, В. П. Зинченко И. В. Мирошниченко // Вісник Черкаського Державного технологічного університету, Спецвипуск. – 2006. – С.135-137.
  12. Bratuhin, A. G. (2008). Rossijskaja jenciklopedija. CALS. Aviacionno-kosmicheskoe mashinostroenie. M.: OAO NIC ASK.
  13. Miroshnichenko, I. V. (2012). Ob odnom sposobe klassifikacii statisticheskih izmeritel'nyh zadach. Matematichne ta komp`juterne modeljuvannja, Vip. 7, 132-139
  14. Reklejtis, G., Rejvindran, A., Rjegsdejl, S. (1986). Optimizacija v tehnike. Translation from English. V 2-h kn. M.: Mir, 349.
  15. Kornienko, G. I. (1985). Perspektivy razvitija i primenenija problemno-orientirovannyh CVK dlja obrabotki dannyh naturnyh ispytanij. Postroenie avtomatizirovannyh sistem obrabotki jeksperimental'nyh dannyh. Kiev: IK AN USSR, 3-5.
  16. Keisler, G., Chen, Ch. (1977). Teoriia modelei. M.: Mir, 616.
  17. Norenkov, I. P., Kuz'mik, P. K. (2002). Informacionnaia podderzhka naukoiomkih izdelii (CALS-tehnologii). M.: Izd. MVTU im. N. Ye. Baumana, 45-50.
  18. Detling, V. S., Kartunov, C., Miroshnichenko, I. V. (2007). Information-logical model error of random statistical characteristics measurements. International scientific conference, Gabrovo, 23-24 Nov 2007, 322-327
  19. Ponomarenko, V. K., Miroshnichenko, V. S. (1973). Povyshenie tochnosti vychisleniia momentov vysokih poriadkov sluchainyh processov s ogranichennym diapazonom znachenii. Trudy IV Vsesoiuznoi Shkoly-seminara po statisticheskoi gidroakustike. Novosibirsk, 38-40.
  20. Ponomarenko, V. K., Miroshnichenko, V. S. (1971). Vybor parametrov izmeritelei chislovyh harakteristik sluchainyh processov. Izv. VUZ SSSR, razd. Radioielektronika, XVI, 7.
  21. Detling, V. S., Zinchenko, V. P., Miroshnichenko, I. V. (2006). Іnformaciino-vimіrjuval'na sistema zabezpechennia iakostі shorstkostі poverhnі. Vіsnik Cherkas'kogo Derzhavnogo tehnologіchnogo unіversitetu, Specvipusk, 135-137.

Downloads

Published

2013-12-24

How to Cite

Мирошниченко, И. В. (2013). Information technology systems data quality assurance at the control surface qualities. Technology Audit and Production Reserves, 6(4(14), 25–27. https://doi.org/10.15587/2312-8372.2013.19641

Issue

Vol. 6 No. 4(14) (2013): Scientific outcomes 2013

Section

Information technology and control systems

License

Copyright (c) 2016 Иван Владимирович Мирошниченко

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.