{"?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-HXR02Z9Q/2c4095788a-49364--e5888af25ba12ae6b-/PDF","dcterms:extent":"3866 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-HXR02Z9Q/660e8ccc-c6dd-4751-aa12-9906f35a124c/TEXT","dcterms:extent":"134 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-HXR02Z9Q/cbacfeba-ab01-461c-8046-f0d75167ef68/WEB","dcterms:extent":"0 KB"}],"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-HXR02Z9Q","dcterms:issued":"2013","dc:contributor":["Balič, Jože","Drstvenšek, Igor"],"dc:creator":"Brajlih, Tomaž","dc:format":{"@xml:lang":"sl","#text":"VII, 92 str., 30 cm"},"dc:identifier":["COBISSID:17435158","URN:URN:NBN:SI:doc-HXR02Z9Q"],"dc:language":"sl","dc:publisher":{"@xml:lang":"sl","#text":"T. Brajlih"},"dc:source":{"@xml:lang":"sl","#text":"visokošolska dela"},"dc:subject":[{"@xml:lang":"sl","#text":"dimensional accuracy"},{"@xml:lang":"sl","#text":"dimenzijska natančnost"},{"@xml:lang":"sl","#text":"Disertacije"},{"@xml:lang":"sl","#text":"geometrical properties"},{"@xml:lang":"sl","#text":"manufacturing parameters"},{"@xml:lang":"sl","#text":"neural network"},{"@xml:lang":"sl","#text":"nevronske mreže"},{"@xml:lang":"sl","#text":"optimizacija"},{"@xml:lang":"sl","#text":"optimization"},{"@xml:lang":"sl","#text":"Selektivno lasersko sintranje"},{"@xml:lang":"sl","#text":"selsctive laser sintering"},{"@xml:lang":"sl","#text":"skupinska inteligenca"},{"@xml:lang":"sl","#text":"swarm intelligence"},{"@xml:lang":"sl","#text":"tehnološki parametri"}],"dc:title":{"@xml:lang":"sl","#text":"Razvoj metode prilagajanja parametrov selektivnega laserskega sintranja oblikovnim značilnostim izdelkov| doktorska disertacija|"},"dc:description":[{"@xml:lang":"sl","#text":"This work presents development of a method for adapting manufacturing parameters of selective laser sintering technology. One of the main problems when manufacturing by selective laser sintering is dimensional accuracy of products. Main causes for dimensional deviations are material shrinkage and size of laser influence zone. In the first part of this work a hypothesis is presented that says that the shrinkage and laser influence zone size depends on geometrical properties of products. A method for describing geometrical properties by numerical influence factors is also set. Analysis of variance ofmulti-factorial experiment proves the hypothesis and influence of geometrical properties. In the second part, methods for establishing manufacturing parameters adaptation model are presented. Particle swarm optimization and neural network methods are used. In the conclusion, adaption model's capabilities are presented. Also, a method of practical use of developed method is presented. Adapted parameter values are tested on random product. Influence of using proposed method on achievable dimensional accuracyis discussed. Finally, some guidelines for future research are proposed"},{"@xml:lang":"sl","#text":"V delu je predstavljen razvoj metode za prilagajanje izdelovalnih parametrov pri tehnologiji selektivnega laserskega sintranja. Dimenzijska natančnost kosov je eden izmed glavnih problemov pri izdelavi s selektivnim laserskim sintranjem. Glavni vzrok za pogreške pri izdelavi je skrček materiala in velikost vplivnega območja laserskega žarka. V prvem delu disertacije je postavljena teza, da na velikosti skrčkov in vplivnega območja laserskega žarka vplivajo oblikovne značilnosti izdelkov. Postavljen je tudi način opisa oblikovnih značilnosti izdelka s številskimi dejavniki. Z analizo variance več-faktorskega preizkusa je dokazana teza in vpliv dejavnikov oblikovnih značilnosti. V drugem delu je predstavljen način postavitve modela prilagajanja izdelovalnih parametrov, ki so namenjeni korekciji skrčkov in vplivnega območja laserskega žarka. Uporabljeni sta metodi skupinske inteligence in nevronske mreže. V zaključku so predstavljene sposobnosti napovedovanja modelov. Predstavljen je tudi način uporabe modelov pri izdelavi poljubnega izdelka v praksi. Napovedane vrednosti so preizkušene na poljubnem izdelku. Obravnavan je vpliv uporabe predlagane metode na dosegljivo natančnost izdelave in podane smernice za prihodnje raziskave"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"visokošolska dela"},{"@xml:lang":"en","#text":"theses and dissertations"},{"@rdf:resource":"http://www.wikidata.org/entity/Q1266946"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-HXR02Z9Q","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-HXR02Z9Q"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-HXR02Z9Q/2c4095788a-49364--e5888af25ba12ae6b-/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":"Univerza v Mariboru, Fakulteta za strojništvo"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-HXR02Z9Q/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-HXR02Z9Q"}}}}