32 KB271 KB23 KB200020242012Akkurt, AdnanEsme, UgurIpekci, Melih TuranKahraman, FundaKazancoglu, YugutKulekci, Mustafa KemalSamur, Ramazanletnik:46številka:5str. 471-476ISSN:1580-2949COBISSID:943530URN:URN:NBN:SI:doc-E8AKQMJVenInštitut za kovinske materiale in tehnologijeMateriali in tehnologijeneural networknevronske mrežepovršinska hrapavostsurface roughnessTaguchi-design methodTaguchijeve metodeWEDMApplication of a Taguchi-based neural network for forecasting and optimization of the surface roughness in a wire-electrical-discharge machining process| Uporaba Taguchijeve nevronske mreže za napovedovanje in optimiranje površinske hrapavosti pri postopku žične erozije|Wire-electrical-discharge machining (WEDM) is a modification of electro-discharge machining (EDM) and has been widely used for a long time for cutting punches and dies, shaped pockets and other machine parts on conductive materials. WEDM erodes workpiece materials by a series of discrete electrical sparks between the workpiece and an electrode flushed or immersed in a dielectric fluid. The WEDM process is particularly suitable for machining hard materials as well as complex shapes. In this paper, a neural network and the Taguchi design method have been implemented for minimizing the surface roughness in a WEDM process. A back-propagation neural network (BPNN) was developed to predict the surface roughness. In the development of a predictive model, machining parameters of open-circuit voltage, pulse duration, wire speed and dielectric flushing pressure were considered as the input model variables of the AISI 4340 steel. An analysis of variance (ANOVA) was used to determine the significant parameter affecting the surface roughness (Rsuba). Finally, the Taguchi approach was applied to determine the optimum levels of machining parametersŽična erozija (WEDM) je modifikacija potopne erozije (EDM) in se uporablja že dolgo časa za izdelavo rezilnih in drugih orodij ter strojnih delov. WEDM erodira obdelovanec z iskrenjem med obdelovancem in elektrodo, ki se spira, oziroma je potopljena v dielektrično tekočino. WEDM-postopek je še posebej primeren za obdelavo trdih materialov, kot tudi za kompleksne oblike. V tem članku sta bili uporabljeni nevronska mreža in Taguchijeva metoda načrtovanja za zmanjšanje hrapavosti površine. Pri razvoju modela za napovedovanje hrapavosti so bili upoštevani parametri obdelave: električna napetost, trajanje pulza, hitrost žice in tlak dielektrične tekočine za spiranje kot vhodne spremenljivke pri obdelavi jekla AISI 4340. Analiza variance (ANOVA) je bila uporabljena za določanje vplivnih parametrov, ki vplivajo na površinsko hrapavost (Rspodaja). Na koncu je bil uporabljen Taguchijev približek za določitev optimalnih parametrov procesaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaInštitut za kovinske materiale in tehnologije