20.500.12556/DKUM-66815 Intelligent adaptive cutting force control in end-milling Inteligentna prilagodna kontrola sile rezanja u završnom glodanju In this article, an adaptive neural controller for the ball end-milling process is described. Architecture with two different kinds of neural networks is proposed, and is used for the on-line optimal control of the milling process. A BP neural network is used to identify the milling state and to determin the optimal cutting inputs. The feedrate is selected as the optimised variable, and the milling state is estimated by the measured cutting force. The adaptive controller is operated by a PC and the adjusted feedrates are sent to the CNC. The purpose of this article is to present a reliable, robust neural controller aimed at adaptively adjusting feed-rate to prevent excessive tool wear, tool breakage and maintain a high chip removal rate. The goal is also to obtain an improvement of the milling process productivity by the use of an automatic regulation of the cutting force. Numerous simulations are conducted to confirm the efficiency of this architecture. The proposed architecture for on-line determining of optimal cutting conditions is applied to ball end-milling in this paper, but it is obvious that the system can be extended to other machines to improve cutting efficiency. U ovom je članku opisan prilagodljiv neuronski kontroler za proces glodanja kuglastim završetkom. Predložena je arhitektura s dvjema različitim vrstama neuronskih mreža, a korištena je za on-line optimalnu kontrolu procesa glodanja. BP neuronska mreža je korištena za identifikaciju stanja glodanja i za određivanje optimalnih reznih ulaza. Brzina posmaka je izabrana kao optimizirana varijabla, a stanje glodanja je procijenjeno pomoču izmjerene site rezanja. Prilagodljivi kontroler je upravljan osobnim računalom, a podešene brzine posmaka se šalju do CNC-a. Svrha ovog članku je prikazati pouzdan, snažan neuronski kontroler koji je usmjeren na prilagodljivo podesivu brzinu posmaka radi sprječavanja pretjeranog trošenja alata, loma alata i održavanja visoke brzine uklanjanja čestica. Cilj je također dobiti poboljšanje produktivnosti procesa glodanja uporabom automatskog reguliranja sile rezanja. Brojne simulacije su vodene radi potvrđivanja učinkovitosti ove arhitekture. Predložena arhitektura za on-line odredivanje optimalnih reznih uvjeta primijenjena je na glodanje s kuglastim završetkom u ovom radu, ali je očito da se sustav može proširiti na druge strojeve radi poboljšanja učinkovitosti rezanja. end milling adaptive force control neuron controller cutting conditions adaptive control systems čelno frezanje adaptivna regulacija sile nevronski regulator rezalni pogoji prilagodljivi regulacijski sistemi true false true Angleški jezik Hrvaški jezik Znanstveno delo 2017-07-12 08:35:12 2017-07-12 08:36:04 2022-08-01 13:12:08 2019-07-11 15:59:50 2006 0 0 str. 15-22 št. 1/2 Letn. 13 2006 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1330-3651 621.914:681.5 15346181 10628630 1330-3651 URN:SI:UM:DK:FG5SFVAD Tehnicki_vjesnik_2006_Zuperl,_Cus,_Kiker_Intelligent_adaptive_cutting_force_control_in_end-milling.pdf Tehnicki_vjesnik_2006_Zuperl,_Cus,_Kiker_Intelligent_adaptive_cutting_force_control_in_end-milling.pdf 1 0B74AAA9BDDDCF793D5554DFF619E7DA 438255115e5bbc96197e4bb9e58188e7a1bff2b591aef640f17c37dd41c7a19c 66090a0b-7c0e-11eb-bb7a-00155d0001ca 20.500.12556/dkum/c7ac988c-9d16-4040-92c6-58a5edba12b8 https://dk.um.si/Dokument.php?lang=slv&id=114038 http://hrcak.srce.hr/8842 1 https://dk.um.si/Dokument.php?lang=slv&id=114037 Fakulteta za strojništvo 0 0 0