{"id":561,"date":"2017-02-22T14:25:10","date_gmt":"2017-02-22T13:25:10","guid":{"rendered":"https:\/\/web.fs.uni-lj.si\/lasin\/?page_id=561"},"modified":"2024-04-26T14:49:59","modified_gmt":"2024-04-26T12:49:59","slug":"razpis-nalog","status":"publish","type":"page","link":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/pedagoski-proces\/razpis-nalog\/","title":{"rendered":"Topics for students"},"content":{"rendered":"<p>In the Laboratory of Synergetics, the following seminar, MSc, PhD topics are available:<\/p>\n<p><strong>Additive technologies and 3D printing of metallic materials<\/strong><\/p>\n<ul>\n<li>Self-regulation of layer thickness in laser-directed deposition<\/li>\n<li>A system for rapid measurement of the intensity distribution of an annular laser beam using a CMOS sensor<\/li>\n<li>Topological optimization of metal products for 3D printing<\/li>\n<li>Experimental setup for direct laser deposition deposition path strategy research<\/li>\n<li>Research of the application of path strategy in direct laser deposition with machine learning methods<\/li>\n<li>Design of a system for simultaneous direct laser deposition of wire and powder<\/li>\n<li>Influence of particle size on powder delivery in direct laser deposition of multicomponent powder<\/li>\n<\/ul>\n<p><strong>Neural networks, machine learning, forecasting, industrial diagnostics<\/strong><\/p>\n<ul>\n<li>Application of neural networks to characterize technical and industrial processes<\/li>\n<li>Application of deep learning methods to characterize technical and industrial processes<\/li>\n<li>Development of a machine learning based forecasting system for a district heating system<\/li>\n<li>Adaptive short-term forecasting of future consumption in the district heating network<\/li>\n<\/ul>\n<p><a href=\"https:\/\/web.fs.uni-lj.si\/lasin\/kontakt\/\">Contact us<\/a> for more information.<\/p>","protected":false},"excerpt":{"rendered":"<p>In the Laboratory of Synergetics, the following seminar, MSc, PhD topics are available: Additive technologies and 3D printing of metallic materials Self-regulation of layer thickness in laser-directed deposition A system for rapid measurement of the intensity distribution of an annular laser beam using a CMOS sensor Topological optimization of metal products for 3D printing Experimental [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":9,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-561","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/pages\/561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/comments?post=561"}],"version-history":[{"count":5,"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/pages\/561\/revisions"}],"predecessor-version":[{"id":1133,"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/pages\/561\/revisions\/1133"}],"up":[{"embeddable":true,"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/pages\/9"}],"wp:attachment":[{"href":"https:\/\/web.fs.uni-lj.si\/lasin\/en\/wp-json\/wp\/v2\/media?parent=561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}