REZBALASH DASTGOHLARIDA ADAPTIV BOSHQARUV TIZIMINING SAMARADORLIGI: VAQT TEJALISHI VA UNUMDORLIKKA TA’SIRI
Keywords:
Ish unumdorligi, asbobning eskirishi, material qattiqligi, moslash, kesish tezligi va surish, kesish sharoitlari, real vaqt, boshqaruv usullarini, vaqt sarfi, samaradorlig, adaptiv boshqaruv, dastgoh, rezba qirqish, inson omili, xizmat muddati, texnik xizmat.Abstract
Mazkur maqolada rezba qirqish dastgohlarda (RDB) qo‘llanilgan adaptiv boshqaruv tizimlarining an’anaviy boshqaruvga nisbatan samaradorligi tahlil qilinadi. Tadqiqotda vaqt sarfi va ish unumdorligi bo‘yicha taqqoslash uchun ikki turdagi boshqaruv usullarining taxminiy ma’lumotlari asosida chiziqli grafiklar tuzildi. Olingan natijalar adaptiv tizimlarning ayniqsa murakkab ishlov berish sharoitlarida katta ustunlikka ega ekanligini ko‘rsatdi.
Shuningdek, maqolada O‘zbekiston Respublikasi Prezidentining sanoatni raqamlashtirish va avtomatlashtirishga doir strategik qarashlari asosida adaptiv boshqaruv tizimlarining milliy iqtisodiyotdagi o‘rni yoritilgan. Tadqiqotda MATLAB dasturi asosida tuzilgan grafiklar orqali tizimlarning vaqt va unumdorlik bo‘yicha samaradorlik farqlari aniqlab berildi. Bunday yondashuv ishlab chiqarish texnologiyalarini zamonaviylashtirish, ishlab chiqarish jarayonlarini barqaror va samarali qilishda muhim rol o‘ynaydi.
Bundan tashqari, maqolaga yetakchi olimlar — Yoram Koren, Toshimichi Moriwaki, Yusuf Altıntas, Laszlo Monostori, Rong-Jyue Kuo va Jun Ni’ning metallga ishlov berishdagi adaptiv boshqaruv tizimlari bo‘yicha olib borgan fundamental tadqiqotlari asosida ilmiy nazariy jihatlari qo‘shildi. Yoram Korenning adaptiv boshqaruv konsepsiyasini ilk bor sanoatga joriy etganligi, Moriwaki va Monostorining intellektual va avtonom tizimlar borasidagi ishlari, Altıntasning chatterni bartaraf etish hamda real vaqtda simulyatsiya qilish metodikasi, Kuo va Ni’ning multi-sensor, fuzzy, termal kompensatsiya va smart-machine prinsiplari maqolaning nazariy poydevorini mustahkamlaydi.
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References
1. Yoram Koren – Home Page for Prof. Yoram Koren. https://ykoren.engin.umich.edu/
2. CNC and Flexible Automation – Yoram Koren. https://ykoren.engin.umich.edu/research/cnc/
3. KAKEN — Research Projects | Development of Advanced Machine Tool to Realize Autonomous Machining Operation Unconstrained by NC program. https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13555035
4. T. Moriwaki, “Multi-Functional Machine Tool,” CIRP Annals. https://www.scirp.org/reference/referencespapers?referenceid=1018106
5. Intelligent Adaptive Control of Forces in Milling Processes. http://www.advantech.gr/med07/papers/T16-016-882.pdf
6. Yusuf Altintas – University of British Columbia. https://www.researchgate.net/profile/Yusuf-Altintas-3
7. Multi-sensor integration for on-line tool wear estimation. https://www.sciencedirect.com/science/article/abs/pii/S0893608098001373
8. A digital twin-driven cutting force adaptive control approach. https://link.springer.com/content/pdf/10.1007/S10845-023-02193-2.pdf
9. László Monostori – Academic Profile. https://research.com/u/laszlo-monostori
10. Cyber-physical systems in manufacturing. https://www.researchgate.net/publication/306426761_Cyber-physical_systems_in_manufacturing
11. On hybrid learning in intelligent manufacturing. https://www.researchgate.net/publication/222319056_On_hybrid_learning_and_its_application_in_intelligent_manufacturing
12. Indispensable element of intelligent manufacturing systems. https://www.researchgate.net/publication/237258089
13. Neural networks and neural-fuzzy approaches in surface roughness monitoring. https://www.researchgate.net/publication/329683986
14. Online tool wear prediction system in turning using ANN. https://www.sciencedirect.com/science/article/abs/pii/S1568494612005273
15. Supervisory adaptive control for structural vibration. https://colab.ws/articles/10.1007%2Fbf01351281
16. Adaptive Learning Control for Thermal Error Compensation. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/446451/1/Dissertation_Philip_Blaser_ETHZ_26709.pdf
17. Jun Ni – SJTU Professor Profile. https://itf.sjtu.edu.cn/enshow-276-27.html
18. School of Mechanical Engineering, Shanghai Jiao Tong University. https://me.sjtu.edu.cn/en/FullTimeTeacher/nijun.html
19. Machining Error Compensation for Curvilinear Objects. https://bibliotekanauki.pl/articles/387059
