DEVELOPMENT OF STRUCTURE AND FUNCTIONING MECHANISMS OF INFORMATION-EXECUTIVE CYBERPHYSICAL SYSTEMS IN MACHINING PRODUCTION
Abstract and keywords
Abstract (English):
It is defined that mechanical engineering efficiency increase at the expense of the introduction of science intensive information-executive cyberphysical systems should be realized in mechanical engineering first. The problems of the structure and mechanism of cyberphysical systems and directions for the efficiency increase of machining engineering procedures are considered.

Keywords:
mechanical engineering, industry 4.0, cyberphysical systems, machining
Text
Publication text (PDF): Read Download
References

1. Wahlster, W. Industry 4.0: The Semantic Product Memory as a Basis for Cyber-Physical Production Systems / Talk or presentation, 27, May, 2013; Zurich. - access mode: https:// www.ida.lui.se/ida30/program/Wolfgang_Wahlster-IDA30-20130924-Indus-trie_4_0_Active_Semantic_Memories_for_Smart_Factories.pdf.

2. Bartevyan, L. Industry 4.0 - Summary report / L. Bartevyan // DLG-Expert report. - 2015. - Vol. 5. - P. 1-8.

3. Wang, S. Implementing Smart Factory of Industrie 4.0: An Outlook. / S. Wang, etc // International Journal of Distributed Sensor Networks. - 2016. - Vol. 2016. P. 23-33.

4. Ingemansson, A.R. Topicality of “Industry 4.0” concept introduction in modern mechanical engineering // Science Intensive Technologies in Mechanical Engineering. -2016. - No. 7(61). - pp. 45-48.

5. Ingemansson, A.R. Current scientific problem of effi-ciency increase in machining production through cyberphysical system introduction within the limits of “Industry 4.0” concept // Science Intensive Technologies in Mechanical Engineering. - 2016. No.12 (66). - pp. 40-44.

6. Fastems. Avtomatizaciya mehanicheskih proiz-vodstv: tehnicheskiy katalog. - 2016. - № 3. - 32 s.

7. Hwacheon. Turning and Milling Equipment: Technical Catalogue. - 2015. - pp. 293.

8. Hexagon. Measuring on Machines: Technical Catalogue. - 2016. - pp. 36.

9. Systems of Adaptive Control Omative ACM for NC Mechanical Equipment: Technical Specification. - 2016. - pp. 29.

10. Grigoriev, S.N. Automated Production Diagnostics / S.N. Grigoriev [et al.]; under the editorship of S.N. Grigoriev. - M.: Mechanical Engineering, 2011. - pp. 600.

11. Kozochkin, M.P., Sabirov, F.S., Popikov, A.N. Vibro-acoustic diagnostics at hard turning // Bulletin of MSTU “STANKIN”. - 2009. - No.1. - pp. 23-29.

12. Zaloga, V.A., Zinchenko, R.N., Shapoval, Yu.V. Problem current state in cutter state diagnostics at milling // Cutting and Tool in Technological Systems. - 2013. Edition 83. - pp. 118-126.

13. Kozochkin, M.P., Sabirov, F.S. Technical diagnostics problems at engineering equipment creation and operation // Bulletin of USATU. - 2012. - No.4. - pp. 98-104.

14. Fastems. Machining Production Automation: Technical Catalogue. - 2016. - No.3. - pp. 32.

Login or Create
* Forgot password?