{"id":190647,"date":"2022-04-10T00:00:00","date_gmt":"2022-04-10T00:00:00","guid":{"rendered":"https:\/\/facfox.com\/news\/araqev-creates-quality-control-software-for-additive-manufacturing-am-software\/"},"modified":"2022-05-27T07:47:05","modified_gmt":"2022-05-27T07:47:05","slug":"araqev-creates-quality-control-software-for-additive-manufacturing-am-software","status":"publish","type":"post","link":"https:\/\/facfox.com\/news\/araqev-creates-quality-control-software-for-additive-manufacturing-am-software\/","title":{"rendered":"Araqev Creates Quality-control Software for Additive Manufacturing"},"content":{"rendered":"

Araqev, a Purdue University-related company, has commercialized a quality-control software that could benefit the aerospace<\/a>, automotive<\/a>, consumer<\/a> products, medical<\/a> devices, national defense, and other sectors that use additive manufacturing technology.<\/p>\n

Araqev\u2019s quality-control software enables end-users to print products in only a few design iterations, resulting in less scrap material and machining time, lessening frustrations, and improving the overall quality of the final printed products. \u201cWe estimate that the quality-control issue with additive manufacturing can lead to nearly $2 billion in global losses annually based on a model for the production costs of metal additive manufacturing systems that was developed by Baumers, Dickens, Tuck and Hague in their 2016 paper published in the peer-reviewed journal Technological Forecasting and Social Change,\u201d said Arman Sabbaghi, associate professor at Purdue\u2019s Depart<\/a>ment of Statistics in the College of Science, and Araqev\u2019s CEO and president.<\/p>\n

To use Araqev\u2019s software, customers upload their nominal design files and scanned point cloud data from their printed products.<\/p>\n

\u201cOur software uses these inputs to fit machine learning models that can simulate shape deviations for future printed products,\u201d Sabbaghi said. \u201cFurthermore, the machine learning models enable our software to derive modifications to the nominal designs, known as compensation plans, so that when the modified designs are printed, they will exhibit fewer shape deviations compared to the case when the original designs are printed.\u201d<\/p>\n

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Araqev\u2019s algorithms also enable the transfer of knowledge, encoded via machine learning models, across different materials, printers, and shapes in additive manufacturing systems<\/p>\n

\u201cThis means that our software enables a comprehensive platform for a customer to improve quality for their entire system,\u201d Sabbaghi said.<\/p>\n

\"\"
Parts 3D printed using Markforged\u2019s Metal X system and copper material<\/figcaption><\/figure>\n

\u201cThe power and cost-effectiveness of our algorithms were most recently demonstrated via two validation experiments for the Markforged Metal X 3D printer involving 17-4 PH stainless steel products,\u201d Sabbaghi said. \u201cOur algorithms reduced shape inaccuracies by 30% to 60%, depending on the geometry in at most two iterations, with three training shapes and one or two test shapes for a specific geometry involved across the iterations.\u201d<\/p>\n

Araqev is establishing direct part<\/a>nerships with 3D printing<\/a> manufacturers and companies. This, Sabbaghi said, will enable the company to scale quickly.<\/p>\n

\u201cWe will establish licensing contracts after demonstrating to the companies the savings and benefits that we can offer for their processes,\u201d Sabbaghi said. \u201cThese part<\/a>ners will incorporate our software into their systems and sell them to their customers, which provides us with a significant customer channel.\u201d<\/p>\n

 <\/p>\n

* This article is reprinted from 3D Printing Media Network<\/a>. If you are involved in infringement, please contact us to delete it.<\/p>\n

<\/i> Author:\u00a0Edward Wakefield<\/p>\n","protected":false},"excerpt":{"rendered":"

Araqev, a Purdue University-related company, has commercialized a quality-control software that could benefit the aerospace, automotive, consumer products, medical devices, national defense, and other sectors that use additive manufacturing technology.<\/p>\n","protected":false},"author":3,"featured_media":190674,"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":"\/news\/wp-content\/uploads\/2022\/05\/5015160476724250135.jpg","fifu_image_alt":"Araqev creates quality-control software for additive manufacturing AM Software","footnotes":""},"categories":[37],"tags":[24,29,430,220],"class_list":["post-190647","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-design","tag-3d-printing","tag-metal-printing","tag-quality","tag-software"],"yoast_head":"\nAraqev Creates Quality-control Software for Additive Manufacturing - FacFox News<\/title>\n<meta name=\"description\" content=\"Araqev, a Purdue University-related company, has commercialized a quality-control software that could benefit the aerospace, automotive, consumer products, medical devices, national defense, and other sectors that use additive manufacturing technology. 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