Details
| Original language | English |
|---|---|
| Pages (from-to) | 210-215 |
| Number of pages | 6 |
| Journal | Procedia Manufacturing |
| Volume | 24 |
| Publication status | Published - 2018 |
| Event | 4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, 2018 - Hannover, Germany Duration: 19 Jun 2018 → 20 Jun 2018 |
Abstract
This article presents an approach developed for collecting and processing data about the actual stress state of a structural component of a technical product and to estimate its residual fatigue life in case random dynamic loadings. As input data sensor values are being used from which the operating loads acting on a component are calculated. For the realization of the experiments a suitable mobile measuring device has been developed. The device is designed to digitize sensor signals at certain positions identified by simulation results, to collect this data in an internal memory, to mathematically analyze this data in real time, to process this data in parallel for the purpose of identifying characteristic information, to restore the stress state of the component and to estimate the residual fatigue life. The created concept provides an opportunity to realize the "intellectualization" of structural components without radical changes in their construction and allows supplementing components with additional functions for collecting and analyzing data during the usage phase of the components life cycle, what is an integral part of an Industry 4.0 product.
Keywords
- Component Stress State, Dynamic Loads, Industry 4.0 Product, Mobile Measuring Device, Residual Life
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Computer Science(all)
- Artificial Intelligence
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In: Procedia Manufacturing, Vol. 24, 2018, p. 210-215.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Mobile Automated Diagnostics of Stress State and Residual Life Prediction for a Component under Intensive Random Dynamic Loads
AU - Mozgova, Iryna
AU - Yanchevskyi, Ihor
AU - Gerasymenko, Mykola
AU - Lachmayer, Roland
N1 - Acknowledgements The authors gratefully acknowledge the support from the Programms “Ostpartnerschaften”, funded by the Deutscher Akademischer Austauschdienst (DAAD), and “Erasmus+”. The authors would also like to thank Mr. Sergii Rybalko and Mr. Oleksandr Schmatko from the Kharkiv National University of adioelectronics, Ukraine, for their participation in the development of the mobile device, encouragement and implementation of various ideas.
PY - 2018
Y1 - 2018
N2 - This article presents an approach developed for collecting and processing data about the actual stress state of a structural component of a technical product and to estimate its residual fatigue life in case random dynamic loadings. As input data sensor values are being used from which the operating loads acting on a component are calculated. For the realization of the experiments a suitable mobile measuring device has been developed. The device is designed to digitize sensor signals at certain positions identified by simulation results, to collect this data in an internal memory, to mathematically analyze this data in real time, to process this data in parallel for the purpose of identifying characteristic information, to restore the stress state of the component and to estimate the residual fatigue life. The created concept provides an opportunity to realize the "intellectualization" of structural components without radical changes in their construction and allows supplementing components with additional functions for collecting and analyzing data during the usage phase of the components life cycle, what is an integral part of an Industry 4.0 product.
AB - This article presents an approach developed for collecting and processing data about the actual stress state of a structural component of a technical product and to estimate its residual fatigue life in case random dynamic loadings. As input data sensor values are being used from which the operating loads acting on a component are calculated. For the realization of the experiments a suitable mobile measuring device has been developed. The device is designed to digitize sensor signals at certain positions identified by simulation results, to collect this data in an internal memory, to mathematically analyze this data in real time, to process this data in parallel for the purpose of identifying characteristic information, to restore the stress state of the component and to estimate the residual fatigue life. The created concept provides an opportunity to realize the "intellectualization" of structural components without radical changes in their construction and allows supplementing components with additional functions for collecting and analyzing data during the usage phase of the components life cycle, what is an integral part of an Industry 4.0 product.
KW - Component Stress State
KW - Dynamic Loads
KW - Industry 4.0 Product
KW - Mobile Measuring Device
KW - Residual Life
UR - http://www.scopus.com/inward/record.url?scp=85050392443&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2018.06.037
DO - 10.1016/j.promfg.2018.06.037
M3 - Conference article
AN - SCOPUS:85050392443
VL - 24
SP - 210
EP - 215
JO - Procedia Manufacturing
JF - Procedia Manufacturing
SN - 2351-9789
T2 - 4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, 2018
Y2 - 19 June 2018 through 20 June 2018
ER -