{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-M0MIGQXY/b3308eac-8ffa-4a0c-94d8-4fadf5ce8961/PDF","dcterms:extent":"363 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-M0MIGQXY/3fa4e6fc-9dd7-41be-b9da-6e3dcf3f479d/TEXT","dcterms:extent":"22 KB"}],"edm:TimeSpan":{"@rdf:about":"2000-2024","edm:begin":{"@xml:lang":"en","#text":"2000"},"edm:end":{"@xml:lang":"en","#text":"2024"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-M0MIGQXY","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/urn:nbn:si:spr-ihg6vo21"},{"@xml:lang":"sl","#text":"Materiali in tehnologije"}],"dcterms:issued":"2014","dc:creator":["Afshari, Davood","Barsoum, Zuheir","Karimi, Mohammad Reza","Sedighi, Mohammad"],"dc:format":[{"@xml:lang":"sl","#text":"številka:1"},{"@xml:lang":"sl","#text":"letnik:48"},{"@xml:lang":"sl","#text":"str. 33-38"}],"dc:identifier":["COBISSID:1030826","ISSN:1580-2949","URN:URN:NBN:SI:doc-M0MIGQXY"],"dc:language":"en","dc:publisher":{"@xml:lang":"sl","#text":"Inštitut za kovinske materiale in tehnologije"},"dc:subject":[{"@xml:lang":"sl","#text":"aluminijeve zlitine"},{"@xml:lang":"en","#text":"aluminium alloy"},{"@xml:lang":"en","#text":"aluminum alloys"},{"@xml:lang":"sl","#text":"analiza končnih elementov"},{"@xml:lang":"en","#text":"artificial neural networks"},{"@xml:lang":"en","#text":"finite-element analysis"},{"@xml:lang":"en","#text":"nugget size"},{"@xml:lang":"en","#text":"resistance spot weld"},{"@xml:lang":"en","#text":"spot welding"},{"@xml:lang":"sl","#text":"umetne nevronske mreže"},{"@xml:lang":"sl","#text":"uporovni točkasti zvar"},{"@xml:lang":"sl","#text":"uporovno varjenje"},{"@xml:lang":"sl","#text":"velikost področja pretalitve"},{"@rdf:resource":"http://www.wikidata.org/entity/Q447725"}],"dcterms:temporal":{"@rdf:resource":"2000-2024"},"dc:title":{"@xml:lang":"sl","#text":"Prediction of the nugget size in resistance spot welding with a combination of a finite-element analysis and an artificial neural network| Napovedovanje področja pretalitve pri uporovnem varjenju s kombinacijo analize končnih elementov in umetnih nevronskih mrež|"},"dc:description":[{"@xml:lang":"sl","#text":"The goal of this investigation is to predict the nugget size for a resistance spot weld of thick aluminum 6061-T6 sheets 2 mm. The quality and strength of spot welds determine the integrity of the structure, which depends thoroughly on the nugget size. In this study, the finite-element method and artificial neural network were used to predict the nugget size. Different spot welding parameters such as the welding current and the welding time were selected to be used for a coupled, thermal-electrical-structural finite-element model. In order to validate the numerical results a series of experiments were carried out and the nugget sizes were measured. The results obtained with the finite-element analysis were used to build up a back-propagation, artificial-neural-network model for the nugget-size prediction. The results revealed that a combination of these two developed models can accurately and rapidly predict the nugget size for a resistance spot weld"},{"@xml:lang":"sl","#text":"Cilj te preiskave je napovedati velikost področja pretalitve pri uporovno zvarjeni aluminijasti pločevini 6061-T6, debeli 2 mm. Kvaliteta in trdnost točkastega zvara določata celovitost konstrukcije, kar je odvisno predvsem od velikosti področja pretalitve. V tej študiji sta bili za napovedovanje velikosti področja pretalitve uporabljeni metoda končnih elementov in umetna nevronska mreža. Izbrani so bili različni parametri varjenja, kot sta varilni tok in čas varjenja, za skupni termično-električno-strukturni model končnih elementov. Za oceno numeričnih rezultatov je bilo izvršenih več preizkusov in izmerjena je bila velikost področja pretalitve. Rezultati, dobljeni iz analize končnih elementov, so bili uporabljeni za gradnjo modela umetne nevronske mreže za napovedovanje velikosti področja pretalitve. Rezultati so odkrili, da kombinacija teh dveh razvitih modelov lahko zanesljivo in hitro napove velikost področja pretalitve pri uporovnem točkastem zvaru"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-M0MIGQXY","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-M0MIGQXY"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-M0MIGQXY/b3308eac-8ffa-4a0c-94d8-4fadf5ce8961/PDF"},"edm:rights":{"@rdf:resource":"http://rightsstatements.org/vocab/InC/1.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Inštitut za kovinske materiale in tehnologije"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-M0MIGQXY/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-M0MIGQXY"}}}}