47 KB1279 KB46 KB199920252006Antić, AcoHodolič, JankoSoković, Mirkoštevilka:1114 straniletnik:52str. 763-776ISSN:0039-2480COBISSID:9780507URN:URN:NBN:SI:doc-81UHWX7BenslAssociation of Mechanical Engineers and Technicians of Slovenia et al.Zveza strojnih inženirjev in tehnikov Slovenije et al.Strojniški vestniknevronske mrežeobrabaodrezavanjeorodjastruženjeRazvoj sistema za nadzor obrabe orodja pri struženju na temelju nevronskih mrež| Development of a neural-networks tool-wear monitoring system for a turning process|This paper presents the results of developing a tool-wear monitoring system for hard turning in laboratory conditions. The system is based on modern artificial intelligence methods such as neural networks (NNs). One of the mostdominant factors influencing the reliability of the turning process is the condition of the tool; thus, systems for monitoring tool conditions have been developed both in practice and in the laboratory. The paper describes research connected to the selection of methods and strategies for determining the tool-wear condition after turning on the basis of a set laboratory system model. The tool monitoring is performed by an indirect method on the basis of cutting force as one of best determiners of tool condition in the online working regime, combined with one of the artificial intelligence methods, i.e.neural networks. The paper also presents the topology of the neural network used for the trainingPrispevek podaja rezultate razvoja sistema za nadzor obrabe orodja pri struženju v trdo, v laboratorijskih razmerah, z uporabo sodobnih metod umetne inteligence kakor so nevronske mreže. Eden od najbolj pomembnih dejavnikov, ki vplivajo na zanesljivost postopka struženja, je stanje orodja, zato je sistem za spremljanje stanja orodja razvit tako za laboratorijske kakor tudi razmere v praksi. Prispevek prikazuje raziskave, povezane z izbiro metod in strategije za določanje obrabe orodja po struženju, na podlagi serije laboratorijskih preizkusov. Nadzor stanja orodja je izvajan po posredni metodi na podlagi merjenja rezalnih sil, ki so najboljši pokazatelj stanja orodja med delovanjem, kombinirano z nevronskimi mrežami. Prav tako je predstavljena topologija nevronske mreže, uporabljene za struženjeTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo