{"id":30575,"date":"2024-01-22T20:00:21","date_gmt":"2024-01-22T19:00:21","guid":{"rendered":"https:\/\/www.hilase.cz\/?p=30575"},"modified":"2024-05-17T13:19:39","modified_gmt":"2024-05-17T11:19:39","slug":"machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening","status":"publish","type":"post","link":"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/","title":{"rendered":"Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":15,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[176],"class_list":["post-30575","post","type-post","status-publish","format-standard","hentry","category-paper"],"acf":{"obrazek":{"ID":30576,"id":30576,"title":"Thumbnails (1)","filename":"Thumbnails-1-1.png","filesize":55792,"url":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","link":"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/thumbnails-1-2\/","alt":"","author":"15","description":"","caption":"","name":"thumbnails-1-2","status":"inherit","uploaded_to":30575,"date":"2024-01-19 12:32:03","modified":"2024-01-19 12:32:03","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.hilase.cz\/wp-includes\/images\/media\/default.png","width":314,"height":166,"sizes":{"thumbnail":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1-175x166.png","thumbnail-width":175,"thumbnail-height":166,"medium":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","medium-width":314,"medium-height":166,"medium_large":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","medium_large-width":314,"medium_large-height":166,"large":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","large-width":314,"large-height":166,"1536x1536":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","1536x1536-width":314,"1536x1536-height":166,"2048x2048":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","2048x2048-width":314,"2048x2048-height":166,"image":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","image-width":314,"image-height":166,"gallery":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1-273x166.png","gallery-width":273,"gallery-height":166,"card":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","card-width":314,"card-height":166,"square":"https:\/\/www.hilase.cz\/wp-content\/uploads\/Thumbnails-1-1.png","square-width":314,"square-height":166}},"obsah":[{"acf_fc_layout":"text","text":"<p>Congratulations to HiLASIANS from the <a href=\"https:\/\/www.hilase.cz\/en\/vyzkumne-programy\/industrial-laser-applications\/\">ILA<\/a> and <a href=\"https:\/\/www.hilase.cz\/en\/vyzkumne-programy\/advanced-laser-development-ald\/\">ALD<\/a> departments on another successful publication! Read the full article titled <strong><em>Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening<\/em><\/strong> in the <em><a href=\"https:\/\/journals.sagepub.com\/home\/sena\">Surface Engineering<\/a> <\/em>journal.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.hilase.cz\/wp-content\/uploads\/Machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-AlSi10Mg-thin-tubes-in-laser-shock-peening.png\" alt=\"\" \/><\/p>\n<p>The study was authored by <a href=\"https:\/\/www.linkedin.com\/in\/ondrejstransky\/\">Ond\u0159ej Str\u00e1nsk\u00fd<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/ivan-tarant-413606239\/\">Ivan Tarant<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/sunil-pathak-34a53814\/\">Sunil Pathak<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/janbrajer\/\">Jan Brajer<\/a>, <a href=\"https:\/\/www.linkedin.com\/in\/tomas-mocek-1ab6951a1\/\">Tom\u00e1\u0161 Mocek<\/a> and Ond\u0159ej Denk, in collaboration with Libor Ber\u00e1nek and Franti\u0161ek Hole\u0161ovsk\u00fd from the Czech Technical University in Prague.<\/p>\n<p>The industry&#8217;s demand for intricate geometries has spurred research into additive manufacturing (AM). Customising material properties, including surface roughness, integrity and porosity reduction, are the key industrial goals. This necessitates a holistic approach integrating AM, laser shock peening (LSP) and non-planar geometry considerations. In this study, machine learning and neural networks offer a novel way to create intricate, abstract models capable of discerning complex process relationships. Our focus is on leveraging the certain range of laser parameters (energy, spot area, overlap) to identify optimal residual stress, average surface roughness, and porosity values. Confirmatory experiments demonstrate close agreement, with an 8% discrepancy between modelled and actual residual stress values. This approach&#8217;s viability is evident even with limited datasets, provided proper precautions are taken.<\/p>\n<p><strong>Read the <a href=\"https:\/\/journals.sagepub.com\/doi\/epub\/10.1177\/02670844231221974\">FULL ARTICLE<\/a>.<\/strong><\/p>\n","oddelovace":"none"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening - HiLASE<\/title>\n<meta name=\"description\" content=\"Congratulations to HiLASIANS from the ILA and ALD departments a successful publication in the Surface Engineering journal.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening\" \/>\n<meta property=\"og:description\" content=\"Congratulations to HiLASIANS from the ILA and ALD departments a successful publication in the Surface Engineering journal.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/\" \/>\n<meta property=\"og:site_name\" content=\"HiLASE\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-22T19:00:21+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-17T11:19:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.hilase.cz\/wp-content\/uploads\/Machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-AlSi10Mg-thin-tubes-in-laser-shock-peening.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Lucka \u0160t\u011bp\u00e1nkov\u00e1\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening\" \/>\n<meta name=\"twitter:description\" content=\"Congratulations to HiLASIANS from the ILA and ALD departments a successful publication in the Surface Engineering journal.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/www.hilase.cz\/wp-content\/uploads\/Machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-AlSi10Mg-thin-tubes-in-laser-shock-peening.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Lucka \u0160t\u011bp\u00e1nkov\u00e1\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/\",\"url\":\"https:\/\/www.hilase.cz\/en\/machine-learning-approach-towards-laser-powder-bed-fusion-manufactured-alsi10mg-thin-tubes-in-laser-shock-peening\/\",\"name\":\"Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening - 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