Optimization of software-controlled machining of critical pipe fittings
https://doi.org/10.26583/gns-2024-02-05
EDN: KAUSKN
Abstract
The quality requirements for pipeline fittings for NPPs and oil and gas facilities have become more stringent recently, which is related to ensuring their safe operation life. When manufacturing parts using subtractive machining technologies, special importance is attached to accuracy indicators of linear-angular dimensions and surface shapes. This study examines ways to optimize dimensional turning using the example of a “separator” part on a multifunctional CNC turning and milling center MULTICUT 630/2000S. Operations of designing and optimizing the production of parts are increasingly determined by the results of simulation modelling, virtual models, which, in fact, are an integral part of technological processes. In this work, simulation modelling is performed on simulators with CNC Sinumerik 810/840D/Operate Turn. This procedure is a simplified version of the Weiler-Atherton clipping algorithm as applied to stock removal turning. In addition to the algorithm, additional modules for dynamic corrections of control programs are proposed in order to guarantee the requirements of design documentation for accuracy in the conditions of a dynamic SPID system: machine – fixture – tool – part. The cutting speed, depth of cut and tool feed in turning have the greatest influence on the stock removal process from the technological control parameters. Modules of dynamic corrections of control programmes allow to estimate quite accurately the influence of control factors in turning (cutting speed, depth of cut and feed) on cutting force and machining accuracy.
About the Authors
K. A. Vinniychuk
Volgodonsk Engineering Technical Institute the branch of National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
student, Department of Mechanical Engineering and Applied Mechanics
A. A. Moiseenko
«Atommash» the branch of «AEM-technologies» JSC
Russian Federation
Russian Federation
head of Mechanical Processing
N. N. Podrezov
Volgodonsk Engineering Technical Institute the branch of National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
Cand. Sci. (Engin.), Associate Professor, Department of Mechanical Engineering and Applied Mechanics
S. A. Tomilin
Volgodonsk Engineering Technical Institute the branch of National Research Nuclear University «MEPhI»
Russian Federation
Russian Federation
Cand. Sci. (Engin.), Head of the Department of Mechanical Engineering and Applied Mechanics
References
1. Кравченко П.Д. Целесообразность применения мобильного технологического оборудования при изготовлении изделий атомного машиностроения. Глобальная ядерная безопасность. 2015;2(2/15):30–34. Режим доступа: https://viti-mephi.ru/sites/default/files/pages/docs/
2. gns_15.pdf?ysclid=lximof354e103576396 (дата обращения: 28.03.2024).
3. Wang Q., Fu R., Hu Y., He J. Development of simulation platform for CNC intelligent manufacturing. In: International Conference on Control Science and Electric Power Systems. 2021. Р. 184–189. Available at: https://www.computer.org/csdl/proceedings-article/cseps/2021/261800a184/1wiQJX5GHD2 (accessed: 28.03.2024).
4. Mujber T.S., Szecsi T., Hashmi M.S.J. Virtual reality applications in manufacturing process simulation, Journal of Materials Processing Technology, 2004, Vol. 155–156, pp. 1834–1838. Available at: https://colab.ws/articles/10.1016/j.jmatprotec.2004.04.401?ysclid=lxin4hcz69315133113 (accessed: 28.03.2024).
5. Геиценредер А.А. Мониторинг станков при интеллектуальном управлении на базе нечеткой логики. Мехатроника. Робототехника. Автоматизация: Сборник научных трудов. Выпуск № 1. Москва: МГУПИ, 2006. С. 29–35. Режим доступа: https://rusneb.ru/catalog/010003_000061_
6. ac45f6153bb9b35ded85fdbceba0ce1/?ysclid=lxiqjh6wlv663594580 (дата обращения: 28.03.2024).
7. Дальский А.М., Базров Б.М., Васильев А.С. [и др.] Технологическая наследственность в машиностроительном производстве. Научное издание. Москва: Издательство МАИ, 2000. 364 с. Режим доступа: https://elibrary.ru/uerasp (дата обращения: 28.03.2024).
8. Кабалдин Ю.Г., Шатагин Д.А., Колчин П.В., Кузьмишина А.М, Аносов М.С. Искусственный интеллект и киберфизических механообрабатывающие системы в цифровом производстве. Нижний Новгород: Нижегородский ГТУ им. Р.А. Алексеева, 2020. 328 с. Режим доступа: https://elibrary.ru/item.asp?id=41830023 (дата обращения: 28.03.2024).
9. Бахно А.Л., Чуприков А.О., Курочкин В.В. Способ закрепления полых цилиндрических изделий на токарном станке. Патент 727432. Российская Федерация. СПК В23В31/40/. ПАО «Тульский оружейный завод». № 2019138088; заявл.25.11.2019; опубл. 21.07.2019. Режим доступа: https://yandex.ru/patents/doc/RU2727432C1_20200721 (дата обращения: 28.03.2024).
10. Gökçe Harun – Object Modeling Based Polygon For 3D CNC Lathe Simulation Softwares. Journal of Polytechnic. 2016;19(2):155–161. Available at: https://avesis.gazi.edu.tr/yayin/7ba891be-e7b4-4d58-bc3a-d27cedfc688d/object-modeling-based-polygon-for-3d-cnc-lathe-simulation-softwares (accessed: 28.03.2024).
Review
For citations:
Vinniychuk K.A., Moiseenko A.A., Podrezov N.N., Tomilin S.A. Optimization of software-controlled machining of critical pipe fittings. Nuclear Safety. 2024;14(2):52-60. (In Russ.) https://doi.org/10.26583/gns-2024-02-05. EDN: KAUSKN
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