{"id":5168,"date":"2024-07-11T06:35:47","date_gmt":"2024-07-11T11:35:47","guid":{"rendered":"https:\/\/cqfa.quebec\/?p=5168"},"modified":"2024-07-11T06:39:35","modified_gmt":"2024-07-11T11:39:35","slug":"process-optimization-and-distortion-prediction-in-directed-energy-deposition","status":"publish","type":"post","link":"https:\/\/cqfa.quebec\/en\/process-optimization-and-distortion-prediction-in-directed-energy-deposition\/","title":{"rendered":"Process Optimization and Distortion Prediction in Directed Energy Deposition"},"content":{"rendered":"<p><em>Hammouda, A.; Mrad, H.; Marouani, H.; Frikha, A.; Belem, T. (2024). Process Optimization and Distortion Prediction in Directed Energy Deposition. (2024). Journal of Manufacturing and Materials Processing. (2024). 8(3), 116.<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>Directed energy deposition (DED), a form of additive manufacturing (AM), is gaining traction for its ability to produce complex metal parts with precise geometries. However, defects like distortion, residual stresses, and porosity can compromise part quality, leading to rejection. This research addresses this challenge by emphasizing the importance of monitoring process parameters (overlayer distance, powder feed rate, and laser path\/power\/spot size) to achieve desired mechanical properties. To improve DED quality and reliability, a numerical approach is presented and compared with an experimental work. The parametric finite element model and predictive methods are used to quantify and control material behavior, focusing on minimizing residual stresses and distortions. Numerical simulations using the Abaqus software 2022 are validated against experimental results to predict distortion and residual stresses. A coupled thermomechanical analysis model is employed to understand the impact of thermal distribution on the mechanical responses of the parts. Finally, new strategies based on laser scan trajectory and power are proposed to reduce residual stresses and distortions, ultimately enhancing the quality and reliability of DED-manufactured parts.<\/p>\n<p>&nbsp;<\/p>\n<p class=\"link-btn-style btn-yellow\"><a href=\"https:\/\/www.mdpi.com\/2504-4494\/8\/3\/116\" target=\"_blank\" rel=\"noopener\">Read the publication<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hammouda, A.; Mrad, H.; Marouani, H.; Frikha, A.; Belem, T. (2024). Process Optimization and Distortion Prediction in Directed Energy Deposition. (2024). Journal of Manufacturing and Materials Processing. (2024). 8(3), 116. [&hellip;]<\/p>\n","protected":false},"author":80,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[43],"tags":[],"class_list":["post-5168","post","type-post","status-publish","format-standard","hentry","category-publications-academiques-quebecoises"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Process Optimization and Distortion Prediction in Directed Energy Deposition - CQFA - Carrefour qu\u00e9b\u00e9cois de la fabrication additive<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cqfa.quebec\/en\/process-optimization-and-distortion-prediction-in-directed-energy-deposition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Process Optimization and Distortion Prediction in Directed Energy Deposition - CQFA - Carrefour qu\u00e9b\u00e9cois de la fabrication additive\" \/>\n<meta property=\"og:description\" content=\"Hammouda, A.; Mrad, H.; Marouani, H.; Frikha, A.; Belem, T. (2024). Process Optimization and Distortion Prediction in Directed Energy Deposition. (2024). Journal of Manufacturing and Materials Processing. (2024). 8(3), 116. 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