{"id":179947,"date":"2021-02-03T09:29:03","date_gmt":"2021-02-03T09:29:03","guid":{"rendered":"http:\/\/facfox.com\/news\/?p=179947"},"modified":"2021-04-06T03:30:40","modified_gmt":"2021-04-06T03:30:40","slug":"intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am","status":"publish","type":"post","link":"https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/","title":{"rendered":"Intellegens and Ansys Partner on Material Intelligence Through Machine Learning for AM"},"content":{"rendered":"<p>Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes. The combination of the two companies\u2019 technologies will make it quick and easy for AM project teams to analyze data from experiments, simulations, or production generating models that capture vital insights. These models are used to optimize process parameters and powders, improving the quality of AM p<a href=\"https:\/\/facfox.com\/news\/topics\/art\" target=\"_blank\" rel=\"noopener\">art<\/a>s while cutting time to market.<\/p>\n<p>The agreement will embed Intellegens\u2019 machine learning technology, Alchemite, within the Ansys materials data management platform, Granta MI. Alchemite\u2122 deep learning algorithms very rapidly find relationships within complex datasets, even when that data is \u2018sparse\u2019 (i.e., has many empty values). This makes Alchemite\u2122 ideal for AM teams seeking to exploit data brought together from multiple sources. It extracts all possible knowledge from the data to identify the critical combinations of factors that ultimately control the performance of AM p<a href=\"https:\/\/facfox.com\/news\/topics\/art\" target=\"_blank\" rel=\"noopener\">art<\/a>s. Alchemite\u2122 needs no prior knowledge of which parameters are likely to be important \u2013 a significant advantage in this emerging technology area.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/facfox.com\/news\/wp-content\/uploads\/2021\/2\/If2yiq.png\" \/><\/p>\n<div style=\"background-color: #eaeaea7a; padding: 15px 30px; overflow-wrap: break-word; display: flex; align-items: center; border-radius: 4px; box-shadow: -1px 4px 20px 0px #dedede; margin-top: 1em; margin-bottom: 1em;\">\n<div style=\"flex: 1; padding-right: 30px;\">\n<h4 style=\"margin-bottom: 14px;\">Manufacturing on Demand<\/h4>\n<div style=\"display: block;\">Order custom parts through our online manufacturing network. Low cost, fast delivery. Upload your design for free quotes now!<\/div>\n<\/div>\n<p><a style=\"background-color: #0baee8; color: white; padding: 10px 20px; border-radius: 4px;\" href=\"https:\/\/facfox.com\" target=\"_self\" rel=\"noopener noreferrer\"><i class=\"fa-fw auxicon auxicon-cloud-upload\" aria-hidden=\"true\"><\/i> Get Quote<\/a><\/p>\n<\/div>\n<p>Applications throughout the AM workflow include:<\/p>\n<ul>\n<li>Process parameter optimization for AM processes<\/li>\n<li>Computational design of AM materials<\/li>\n<li>Failure analysis and quality control<\/li>\n<li>Data validation and gap-filling<\/li>\n<li>Assisted Design of Experiments (DoE) for AM.<\/li>\n<\/ul>\n<p>Granta MI is the de facto standard for materials data management in engineering enterprises and is applied in AM <a href=\"https:\/\/facfox.com\/news\/topics\/insights\/applications\" target=\"_blank\" rel=\"noopener\">application<\/a>s to capture, in a single place, all of a company\u2019s AM data. This includes data on the properties of powders and raw materials, machine build parameters, post-build processing data, test results for AM p<a href=\"https:\/\/facfox.com\/news\/topics\/art\" target=\"_blank\" rel=\"noopener\">art<\/a>s, and simulation data from the Ansys AM simulation suite. Integrating Alchemite\u2122 into this holistic system will make it straightforward to analyze the full range of this data in the search for key process\/property relationships and to continuously improve models as the data is updated.<\/p>\n<p>\u201cIntellegens\u2019 machine learning technology offers a ready-made solution to key data analysis challenges faced by our Additive Manufacturing customers,\u201d commented Rob Davis, Director of Product Management, at Ansys. \u201cIntegration with Ansys Granta MI\u2122 creates a unified workflow for capturing and applying results from AM testing, simulation, and production.\u201d<\/p>\n<p>\u201cMerging the data management capabilities of Ansys\u2019 Granta MI\u2122 with the machine learning prowess of Alchemite is a perfect fit, promising to deliver deep insights to Additive Manufacturing workflows,\u201d said Dr. Gareth Conduit, CTO at Intellegens. \u201cWe look forward to working with the global Ansys network to deliver the benefits of machine learning to many more AM project teams.\u201d<\/p>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 14px; color: grey;\">* This article is reprinted from <a href=\"https:\/\/www.3dprintingmedia.network\/intellegens-and-ansys-partner-to-empower-am-with-material-intelligence-through-machine-learning\/\" target=\"_blank\" rel=\"noopener\">3D Printing Media Network<\/a>. If you are involved in infringement, please contact us to delete it.<\/p>\n<p><i class=\"far fa-fw fa-user\"><\/i> Author: Victor Anusci<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes. The combination of the two companies\u2019 technologies will make it quick and easy for AM project teams to analyze data from experiments, simulations, or production generating models that capture vital insights. These models are used to optimize process parameters and powders, improving the quality of AM parts while cutting time to market.<\/p>\n","protected":false},"author":3,"featured_media":184721,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"fifu_image_url":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2021\/2\/If2yiq.png","fifu_image_alt":"Intellegens and Ansys Partner on Material Intelligence through machine learning for AM AM Software","footnotes":""},"categories":[37],"tags":[201,3601,220],"class_list":["post-179947","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-design","tag-3d-modeling","tag-desgin","tag-software"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Intellegens and Ansys Partner on Material Intelligence Through Machine Learning for AM - FacFox News<\/title>\n<meta name=\"description\" content=\"Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes. The combination of the two companies\u2019 technologies will make it quick and easy for AM project teams to analyze data from experiments, simulations, or production generating models that capture vital insights. These models are used to optimize process parameters and powders, improving the quality of AM parts while cutting time to market. Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intellegens and Ansys Partner on Material Intelligence Through Machine Learning for AM\" \/>\n<meta property=\"og:description\" content=\"Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes. 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The combination of the two companies\u2019 technologies will make it quick and easy for AM project teams to analyze data from experiments, simulations, or production generating models that capture vital insights. These models are used to optimize process parameters and powders, improving the quality of AM parts while cutting time to market. Machine learning specialist Intellegens and engineering simulation leader Ansys are collaborating to integrate machine learning methods into Additive Manufacturing (AM) workflows, accelerating the development of reliable and repeatable AM processes.","breadcrumb":{"@id":"https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/#primaryimage","url":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2021\/2\/If2yiq.png","contentUrl":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2021\/2\/If2yiq.png","width":788,"height":453,"caption":"Intellegens and Ansys Partner on Material Intelligence through machine learning for AM AM Software"},{"@type":"BreadcrumbList","@id":"https:\/\/facfox.com\/news\/intellegens-and-ansys-partner-on-material-intelligence-through-machine-learning-for-am\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/facfox.com\/news\/"},{"@type":"ListItem","position":2,"name":"Intellegens and Ansys Partner on Material Intelligence Through Machine Learning for AM"}]},{"@type":"WebSite","@id":"https:\/\/facfox.com\/news\/#website","url":"https:\/\/facfox.com\/news\/","name":"FacFox News","description":"News and Insights of 3D Printing and Manufacturing","publisher":{"@id":"https:\/\/facfox.com\/news\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/facfox.com\/news\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/facfox.com\/news\/#organization","name":"FacFox News","url":"https:\/\/facfox.com\/news\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/facfox.com\/news\/#\/schema\/logo\/image\/","url":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2020\/11\/facfox-news-homepg-logo-200px.png","contentUrl":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2020\/11\/facfox-news-homepg-logo-200px.png","width":200,"height":55,"caption":"FacFox News"},"image":{"@id":"https:\/\/facfox.com\/news\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/facfox.com\/news\/#\/schema\/person\/7b701aad2d8f434034fcecd2c50a570c","name":"Vera","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/bf3b1e47e1f0ed2367da10e343584d5a4adb2e9675fce2aefb04f0ecf3954386?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/bf3b1e47e1f0ed2367da10e343584d5a4adb2e9675fce2aefb04f0ecf3954386?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/bf3b1e47e1f0ed2367da10e343584d5a4adb2e9675fce2aefb04f0ecf3954386?s=96&d=mm&r=g","caption":"Vera"},"url":"https:\/\/facfox.com\/news\/author\/vera\/"}]}},"fifu_image_url":"https:\/\/facfox.com\/news\/wp-content\/uploads\/2021\/2\/If2yiq.png","fifu_image_alt":"Intellegens and Ansys Partner on Material Intelligence through machine learning for AM AM Software","_links":{"self":[{"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/posts\/179947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/comments?post=179947"}],"version-history":[{"count":1,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/posts\/179947\/revisions"}],"predecessor-version":[{"id":179961,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/posts\/179947\/revisions\/179961"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/media\/184721"}],"wp:attachment":[{"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/media?parent=179947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/categories?post=179947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/facfox.com\/news\/wp-json\/wp\/v2\/tags?post=179947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}