INFORMATION SUPPORT OF CHOOSING AND DESIGNING MEANS FOR PROCESS MEASUREMENT AND INSPECTION OF A FLEXIBLE PRODUCTION CONTROL SYSTEM
Abstract and keywords
Abstract (English):
The analysis of the current state of designing control of a flexible production system (FPS) in mechanical engineering showed that to solve this problem and, accordingly, to ensure the reliability of control, the correct search and selection, decision-making and implementation of data storage and their editing are required. The paper objective is to study the issue of creating information support at the design stages of FPS control systems in relation to mechanical engineering. Since the basic information support for the development of a FPS control system is formed at the stages of its design, the paper considers the problem of building the structure of the design stages of FPS management and control system, where subsystems for searching, selecting, making decisions, processing and storing the required information in a database are gradually formed. Based on the requirements for the layout of a machine-building FPS with a consistent structural scheme, the tasks of forming information support at the stages of requirements specification, preliminary design and development of the working draft of FPS control system are determined. The hierarchical structure of functioning the information support of FPS control system in relation to machine-building production is proposed. The paper objective is to study the problem of creating information support at the design stages of FPS control systems for mechanical engineering.

Keywords:
system, control, stages, design, information support, database
References

1. Zinchenko YuV, Goloborodko AA. Review of modern computer-aided design systems. Omsk State Technical University. 2016;4(21):68-71.

2. Prilipko VA, Karpov VYa, Krasovsky VE. Modification of the hierarchy analysis method for the tasks of designing automated control system hardware. Voprosy Radioelektroniki. 2009;3:178.

3. Chelishchev BE. Design automation - technologies in mechanical engineering. Science and Education. Engineering Education of the Association of Technical Universities; 2004.

4. David CW, Clarkson PJ. Process models in design and development. Research in Engineering Design. 2018;29:161-202.

5. Manuela Galati, Luca Iuliano. A literature review of powder-based electron beam melting focusing on numerical simulations. Addit. Manuf. 2018;19:1-20.

6. Raed El-Khalil, Zainab Darwish. Flexible manufacturing systems performance in U.S. automotive manufacturing plants: a case study. Production Planning and Control. 2019;30:48-59.

7. Meguid SA. Integrated computer-aided design of mechanical systems. London: Elsevier Applied Science; 2007.

8. Mammadov JF, Abdullaev GS, Safarova TA, Korshunov IL. Information and measurement support of the automated control system of the annealing and mechanical processing of metal workpieces. Journal of Instrument Engineering. 2021;64(10):859-868.

9. Mammadov JF, Amiraslanov BG, Ibrahimova EJ, Jafarova ShM. Designing the intelligent control system of mechanical assembly production machines and crane-manipulator. ASOIU Hosts the 16th International Conference on Artificial Intelligence and Soft Computing in Antalya, September 14-15th, 2023; Turkey: Antalya.

10. Shvedenko VN, Nabatov RA. Technology of rapid development of databases and user applications in "Cobra++" system /Software products and systems. Problemi Teorii I Upravleniya. 2008;2(82):39-41.

11. Monizza GP, Bendetti C, Matt DT. Parametric and generative design techniques in mass-production environments as effective enablers of Industry 4.0 approaches in the building industry. Autom. ConStruct. 2018;92:270-285.

12. Mammadov JF, Talibov N, Tagieva T. Expert selection and evaluation of an innovative project in a technology park. Bulletin of the South Ural State University. Computer Technologies, Automatic Control, Radioelectronics. 2017;17(4):161-165.

13. Mammadov JF, Abdullayev QS, Aliyev İS, Safarova TA. Developming flexible manufacture cell in university industrial park and its modelling. Proceedings 2019, İnternational Russian Automation Conference. Russia: Sochi; 2019.

14. Mikolajczyk T, Malinowski T, Moldovan L, Fuwen H, Paczkowski T, Ciobanu I. CAD CAM system for manufacturing innovative hybrid design using 3D printing Procedia Manuf. 2019;32:22-28.

15. Matta AK, Raju DR, Suman KNS. The integration of CAD/CAM and rapid prototyping in product development: a review Mater. Today Proc. 2015;2(4–5):3438-3445.

16. Ryder G, Ion B, Green G, Harrison D, Wood B. Rapid design and manufacture tools in architecture, Automation in Construction. 11:279-290.

17. Mammadov JF, Muradli ZM, Abdullaev GS. Selection of electromagnetic sensors for automation of technological processes. Oil and Gas Business. 2020;18(4):134-142.

18. Mu B, Wang X, Zhang X, Xiao X. Laser direct sintering approach for additive manufacturing in flexible electronic Result Eng. 2-22;13:45-76.

19. Phiri M. Information technology in construction design. London: Thomas Telford Publishing; 2009.

20. Mammadov JF, Rahimov ShR, Aliyev IR. Selection of information - measuring components on the basis of layout diagram of flexible manufacturing cell. 11th Internal Conference on theory and application of soft computing, computing with words: Perception and artificial intelligence (ICSCCW 2021), 23-24 August, 2021: Antalya. p. 112-123.

21. Salonitis K. Design for additive manufacturing based on the axiomatic design method, The International Journal of Advanced Manufacturing Technology. 2016;87(14):989-996.

22. Mammadov JF, Huseynov R, Huseynova GH, Abdullayev GS, Aliyeva SB. Frame modeling of flexible manufacture module selection and expert analysis of its control system. International Conference Automatics and Informatics (ICAI). October 1-3, 2020; Bulgaria, Varna Technical University. p. 34-41.

Login or Create
* Forgot password?